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Assessment of groundwater recharge in urban areas

Tubau Fernández, Isabel

Abstract

In the city of Barcelona and the townships situated in the deltaic area of the Besòs River, groundwater is recognized as an aspect of urban water cycle management. There is groundwater seepage into infrastructure and buildings that in turn require drainage, a part of which is introduced into sewage systems. Sensitized by this issue, city councils have had hydrologic studies carried out to analyze its causes and to plan alternative ways of using these resources while reducing treatment costs, and minimizing the impacts that groundwater and drainage have on infrastructure and vice versa. Based on these studies, and starting in 2000 some of this has been used for municipal practices (garden irrigation and street cleaning). Subsequently, due to a drought that affected the region between April 2007 and January 2009, the government entity in charge of Catalonian water sources (ACA) aims to get greater use out of urban groundwater in this area. This requires a comprehensive understanding of the hydrogeological characteristics of the environment, the availability and quality of these resources, and the appropriate tools for proper assessment and management. This has been the framework of this thesis. Recharge is one of the most relevant aspects of water balance in aquifer systems in urban areas. Urbanization of the area alters the natural hydrological cycle and direct water recharge into aquifers by infiltration is reduced. In turn, evapotranspiration decreases and new recharge sources appear. This thesis presents, first, a methodology that allows for the quantifying of variability in space and time of the recharge in urban areas. Potential sources of recharge that have been considered are: (1) direct infiltration from rain and urban runoff, (2) losses from the sewer system, (3) losses from the water supply system, and (4) other specific sources of recharge (i.e. river infiltration, seawater intrusion, etc.). Recharge calculations are initially performed by applying analytical equations under various hypotheses. These results have been evaluated in the hydrogeological context through a numerical model of flow and transport in the whole area of study. Secondly, detection of some substances in groundwater has been analyzed. These substances and their degradation products, potentially present in recharging sources associated with urban environments, belong to so-called 'emerging organic pollutants'. These are organic chemical compounds used in the formulation of daily products for widespread use, such as pharmaceuticals, emulsions, care products and personal hygiene, household and industrial detergents, plastics, pesticides and herbicides, among others. There is relatively little known about these substances¿ introduction to and evolution in the aquifers. Organic pollutants whose evolution and behavior in the groundwater is better understood can be degraded by natural processes controlled mainly by oxidation-reduction reactions. Even in situ stimulation techniques have been developed which are able to accelerate these processes of natural attenuation of contaminated environments. A methodology is presented using an end-member mixing analysis (EMMA) and MIX to compute mixing ratios and identify hydrochemical reactions. The methodology consists of (1) identifying the potential sources of recharge, (2) characterising recharge sources and mixed water samples using hydrogeochemistry, (3) selecting chemical species to be used in the analysis and (4) calculating mixing ratios and when departures from the mixing line exist, identifying hidrochemical processes. This approach has been applied in a pilot area in the Besòs River Delta.

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ADVERTIMENT . La consul a d’aques a esi queda condicionada a l’accep ació de les següen s condicions d'ús: La di usió d’aques a esi pe mi jà del se ei TDX (www. esisenxa xa.ne ) ha es a au o i zada pels i ula s dels d e s de p opie a in el·lec ual únicamen pe a usos p i a s emma ca s en ac i i a s d’in es igació i docència. No s’au o i za la se a ep oducció amb inali a s de luc e ni la se a di usió i posada a disposició des d’un lloc aliè al se ei TDX. No s’au o i za la p esen ació del seu con ingu en una ines a o ma c aliè a TDX ( aming). Aques a ese a de d e s a ec a an al esum de p esen ació de la esi com als seus con ingu s. En la u ili zació o ci a de pa s de la esi és obliga indica el nom de la pe sona au o a. ADVERTENCIA. La consul a de es a esis queda condicionada a la acep ación de las siguien es condiciones de uso: La di usión de es a esis po medio del se icio TDR (www. esisen ed.ne ) ha sido au o izada po los i ula es de los de echos de p opiedad in elec ual únicamen e pa a usos p i ados enma cados en ac i idades de in es igación y docencia. No se au o iza su ep oducción con inalidades de luc o ni su di usión y pues a a disposición desde un si io ajeno al se icio TDR. No se au o iza la p esen ación de su con enido en una en ana o ma co ajeno a TDR ( aming). Es a ese a de de echos a ec a an o al esumen de p esen ación de la esis como a sus con enidos. En la u ilización o ci a de pa es de la esis es obligado indica el nomb e de la pe sona au o a. WARNING. On ha ing consul ed his hesis you’ e accep ing he ollowing use condi ions: Sp eading his hesis by he TDX (www. esisenxa xa.ne ) se ice has been au ho ized by he i ula o he in ellec ual p ope y igh s only o p i a e uses placed in in es iga ion and eaching ac i i ies. Rep oduc ion wi h luc a i e aims is no au ho ized nei he i s sp eading and a ailabili y om a si e o eign o he TDX se ice. In oducing i s con en in a window o ame o eign o he TDX se ice is no au ho ized ( aming). This igh s a ec o he p esen a ion summa y o he hesis as well as o i s con en s. In he using o ci a ion o pa s o he hesis i ’s obliged o indica e he name o he au ho PhD Thesis Assessmen o g oundwa e echa ge in u ban a eas Hyd ogeology G oup (GHS) Ins i u e o En i onmen al Assessmen and Wa e Resea ch (IDAEA) Spanish Resea ch Council (CSIC) Depa men o Geo echnical Enginee ing and Geosciences, Uni e si a Poli ècnica de Ca alunya (UPC) Ba celonaTech Au ho : Isabel Tubau Fe nández Ad iso s: D . En ic Vázquez Suñé D . Jesús Ca e a No embe , 2015 The au ho wish o acknowledge he inancial suppo o he Minis y o Educa ion and Science o Spain, he Technical Uni e si y o Ca alonian (UPC), he Ca alan wa e au ho i y (ACA), he company o d inking wa e Te -Llob ega (ATLL) and he Ba celona me opoli an company o hyd aulic se ices and was e ea men (EMSHTR). Thanks a e o CLABSA, AGBAR, CETAQUA, ci y council o Ba celona, San Ad ià del Besòs, Badalona and San a Coloma de G amane , EUSAB (Es acionamen s U bans de San Ad ià del Besòs) and o companies and indi idual owne s o wells sampled in his s udy. i I. Abs ac In he ci y o Ba celona and he ownships si ua ed in he del aic a ea o he Besòs Ri e , g oundwa e is ecognized as an aspec o u ban wa e cycle managemen . The e is g oundwa e seepage in o in as uc u e and buildings ha in u n equi e d ainage, a pa o which is in oduced in o sewage sys ems. Sensi ized by his issue, ci y councils ha e had hyd ologic s udies ca ied ou o analyze i s causes and o plan al e na i e ways o using hese esou ces while educing ea men cos s, and minimizing he impac s ha g oundwa e and d ainage ha e on in as uc u e and ice e sa. Based on hese s udies, and s a ing in 2000 some o his has been used o municipal p ac ices (ga den i iga ion and s ee cleaning). Subsequen ly, due o a d ough ha a ec ed he egion be ween Ap il 2007 and Janua y 2009, he go e nmen en i y in cha ge o Ca alonian wa e sou ces (ACA) aims o ge g ea e use ou o u ban g oundwa e in his a ea. This equi es a comp ehensi e unde s anding o he hyd ogeological cha ac e is ics o he en i onmen , he a ailabili y and quali y o hese esou ces, and he app op ia e ools o p ope assessmen and managemen . This has been he amewo k o his hesis. Recha ge is one o he mos impo an aspec s o wa e balance in aqui e sys ems in u ban a eas. U baniza ion o he a ea al e s he na u al hyd ological cycle and di ec wa e echa ge in o aqui e s by in il a ion is educed. In u n, e apo anspi a ion dec eases and new echa ge sou ces appea . This hesis p esen s, i s , a me hodology ha allows o he quan i ying o a iabili y in space and ime o he echa ge in u ban a eas. Po en ial sou ces o echa ge ha ha e been conside ed a e: (1) di ec in il a ion om ain and u ban uno , (2) losses om he sewe sys em, (3) losses om he wa e supply sys em, and (4) o he speci ic sou ces o echa ge (i.e. i e in il a ion, seawa e in usion, e c.). Recha ge calcula ions a e ini ially pe o med by applying analy ical equa ions unde a ious hypo heses. These esul s ha e been e alua ed in he hyd ogeological con ex h ough a nume ical model o low and anspo in he whole a ea o s udy. Secondly, and also h oughou he s udy a ea, de ec ion o some subs ances in g oundwa e has been analyzed. These subs ances and hei deg ada ion p oduc s, po en ially p esen in echa ging sou ces associa ed wi h u ban en i onmen s, belong o so-called 'eme ging o ganic pollu an s'. These a e o ganic chemical compounds used in he o mula ion o daily p oduc s o widesp ead use, such as pha maceu icals, emulsions, ca e p oduc s and pe sonal hygiene, household and indus ial de e gen s, plas ics, pes icides and he bicides, among o he s. The e is ela i ely li le known abou hese subs ances’ in oduc ion o and e olu ion in he aqui e s. O ganic pollu an s whose e olu ion and beha io in he g oundwa e is be e unde s ood can be deg aded by na u al p ocesses con olled mainly by oxida ion- educ ion p ocesses. E en in si u s imula ion echniques ha e been de eloped which a e able o accele a e hese p ocesses o na u al a enua ion o con amina ed en i onmen s. Thi dly, in a p elimina y way o a enua ion p ocesses de ec ion, a me hodology is p esen ed using an end-membe mixing analysis (EMMA) and MIX o compu e mixing a ios and iden i y hyd ochemical eac ions. The me hodology consis s o (1) iden i ying he po en ial sou ces o echa ge, (2) cha ac e ising echa ge sou ces and mixed wa e samples using hyd ogeochemis y, (3) selec ing chemical species o be used in he analysis and (4) calcula ing mixing a ios and when depa u es om he mixing line exis , iden i ying hyd ochemical p ocesses. This app oach has been applied in a pilo a ea in he Besòs Ri e Del a. ii II. Resumen En la ciudad de Ba celona y municipios ubicados sob e los e enos del aicos del ío Besòs, el agua sub e ánea es un ac o que se iene en cuen a en la ges ión u bana del ciclo del agua. La il ación de aguas sub e áneas en edi icios e in aes uc u as obliga el d enaje de es as aguas, pa e de las cuáles son e idas a la ed de alcan a illado. Sensibilizados po es a p oblemá ica los ayun amien os implicados enca ga on es udios hid ogeológicos pa a analiza las causas y plan ea al e na i as pa a el ap o echamien o de es os ecu sos, educi los cos es del a amien o, así como minimiza los impac os que las aguas sub e áneas y d enajes puedan causa a las in aes uc u as y ice e sa. A aíz de es os es udios y desde el año 2000, pa e de és as se des inan a usos municipales ( iego de ja dines y limpieza de calles). Pos e io men e y debido a un pe íodo de sequía que a ec ó desde ab il de 2007 a ene o de 2009, la en idad ges o a de los ecu sos híd icos de Ca aluña (Agència Ca alana de l’Aigua, ACA) plan eó un mayo ap o echamien o de los ecu sos de agua sub e ánea en es e en o no u bano. Es o equie e un buen conocimien o de las ca ac e ís icas hid ogeológicas del medio, de la disponibilidad y calidad de es os ecu sos, así como de dispone de las he amien as adecuadas pa a su e aluación y co ec a ges ión. Es a esis se enma ca en es e con ex o. La eca ga es uno de los aspec os más ele an es del balance híd ico en los sis emas acuí e os de zonas u banas. La u banización del e i o io al e a el ciclo hid ogeológico na u al, la eca ga di ec a de agua a los acuí e os po in il ación se educe, disminuye la e apo anspi ación y apa ecen nue as uen es de eca ga. En es a esis se p esen a, en p ime luga , una me odología pa a cuan i ica la a iabilidad espacial y empo al de la eca ga en zona u bana. Las uen es po enciales de eca ga que se han conside ado son: (1) in il ación di ec a de llu ia y de agua de esco en ía, (2) pé didas del sis ema de alcan a illado, (3) pé didas de la ed de abas ecimien o y (4) o as uen es especí icas de eca ga como la in il ación de agua de ío o la in usión ma ina, en e o as. El cálculo de la eca ga se ha ealizado inicialmen e de iniendo y aplicando ecuaciones analí icas bajo di e sas hipó esis. Es os esul ados se han e aluado en el con ex o hid ogeológico median e un modelo numé ico de lujo y anspo e en oda la zona de es udio. En segundo luga , ambién en oda la zona de es udio, se analiza la p esencia en las aguas sub e áneas de algunas sus ancias po encialmen e p esen es en uen es de eca gas asociadas a en o nos u banos, y de las que se iene ela i o poco conocimien o de su in oducción y e olución en los acuí e os. Es as subs ancias o sus p oduc os de deg adación pe enecen a los denominados ‘con aminan es o gánicos eme gen es’; se a an de compues os químicos o gánicos empleados en la o mulación de p oduc os de uso co idiano y muy ex endido, como son p oduc os a macéu icos, emulsiones, p oduc os pa a el cuidado e higiene pe sonal, de e gen es domés icos e indus iales, plás icos, pes icidas y he bicidas, en e o os. Con aminan es o gánicos cuya e olución y compo amien o en las aguas sub e áneas es más conocido pueden deg ada se median e p ocesos na u ales con olados p incipalmen e po p ocesos de oxidación- educción. Incluso se han desa ollado écnicas de es imulación in-si u capaces de acele a es os p ocesos de a enuación na u al sob e medios con aminados. En una línea p elimina de de ección de p ocesos de a enuación se p esen a, en e ce luga , una me odología pa a la e aluación de po cen ajes de mezcla e iden i icación de p ocesos hid oquímicos Pa a ello se emplean p ocedimien os y he amien as es adís icas. Consis e en (1) iden i icación de las po enciales uen es de eca ga, (2) ca ac e ización de las uen es de eca ga y las mezclas de agua usando especies químicas, (3) selección de las especies químicas que an a se usadas en el análisis y (4) cálculo de los po cen ajes de mezcla e iden i icación de p ocesos hid oquímicos cuando és os se sepa an de la línea de mezcla. Es a me odología se ha aplicado a las aguas del ío Besòs y las aguas sub e áneas de una zona pilo o en el Del a del Besòs. iii III. Resum En la ciu a de Ba celona i municipis ubica s sob e els e enys del aics del iu Besòs, l’aigua sub e ània és un ac o que es é en comp e en la ges ió u bana del cicle de l’aigua. La il ació d’aigües sub e ànies en edi icis i in aes uc u es obliguen el seu d ena ge, una pa de les quals s’aboquen a la xa xa de cla egue am. Sensibili za s pe aques a p oblemà ica els ajun amen s implica s an enca ega es udis hid ogeològics pe anali za les causes i plan eja al e na i es pe l’ap o i amen d’aques s ecu sos, edui els cos os del ac amen , així com minimi za els impac es que les aigües sub e ànies i d ena ges poden causa a les in aes uc u es i ice e sa. A a el d’aques es udis i des de l’any 2000, pa d’aques es aigües es des inen a usos municipals ( eg de ja dins i ne eja de ca e s). Pos e io men i degu a un pe íode de seque a que a a ec a des de l’ab il de 2007 ins gene de 2009, l’en i a ges o a dels ecu sos híd ics de Ca alunya (Agència Ca alana de l’Aigua, ACA) a plan eja un majo ap o i amen d’aques s ecu sos d’aigua sub e ània en aques en o n u bà. Això eque eix un bon coneixemen del medi hid ogeològic, de la disponibili a i quali a , així com de les eines adequades pe a la se a co ec a a aluació i ges ió. Aques és el con ex en que emma ca aques a esis. La eca ega és un dels aspec es més elle an s del balanç híd ic en els sis emes aqüí e s de zones u banes. La u bani zació del e i o i al e a el cicle hid ogeològic na u al, la ecà ega di ec a d’aigua als aqüí e s pe in il ació es edueix, disminueix l’e apo anspi ació i apa eixen no es on s de ecà ega. En aques a esis es p esen a, en p ime lloc, una me odologia pe a quan i ica la a iabili a espaial i empo al de la ecà ega en zona u bana. Les on s po encials de ecà ega que s’han conside a són: (1) in il ació di ec a de pluja i aigua d’esco en ia, (2) pè dues del sis ema de cla egue am, (3) pè dues de la xa xa d’abas amen i (4) al es on s especí iques de ecà ega com in il ació d’aigua del iu o in usió ma ina, en e al es. El càlcul de la ecà ega s’ha eali za inicialmen de inin i aplican equacions analí iques so a di e ses hipò esis. Aques s esul a s s’han a alua en el con ex hid ogeològic mi jançan un model numè ic de lux i anspo en o a la zona d’es udi. En segon lloc, ambé en o a la zona d’es udi, s’anali za la p esència en les aigües sub e ànies d’algunes subs àncies po encialmen p esen s en on s de ecà ega associades a en o ns u bans, i de les que es é ela i amen poc coneixemen de la se a in oducció i e olució en els aqüí e s. Aques es subs àncies o els seus p oduc es de deg adació pe anyen als denomina s ‘con aminan s o gànics eme gen s’; es ac en de compos os químics o gànics emp a s en la o mulació de p oduc es d’ús quo idià i mol es ès, com són p oduc es a macèu ics, emulsions, p oduc es pe la cu a e higiene pe sonal, de e gen s domès ics i indus ials, plàs ics, pes icides y he bicides, en e al es. Con aminan s o gànics, l’e olució i compo amen dels quals en les aigües sub e ànies és més conegu , poden deg ada -se mi jançan p ocessos na u als con ola s p incipalmen pe p ocessos d’oxidació- educció. Inclús s’han desen olupa ècniques d’es imulació in-si u capaces d’accele a aques s p ocessos d’a enuació na u al sob e medis con amina s. En una línea p elimina de de ecció de p ocessos d’a enuació es p esen a, en e ce lloc, una me odologia que pe me l’a aluació de pe cen a ges de mescla e iden i icació de p ocessos hid oquímics. Aques a emp a p ocedimen s i eines es adís iques. Consis eix en (1) iden i icació de las po encials on s de ecà ega, (2) ca ac e i zació de les on s de ecà ega i les mescles d’aigua emp an espècies químiques, (3) selecció de les especies químiques que an a se emp ades en l’anàlisi i (4) càlcul dels pe cen a ges de mescla i iden i icació de p ocessos hid oquímics d’aquells que es sepa en de la línea de mescla. Aques a me odologia s’ha aplica a les aigües del iu Besòs i les aigües sub e ànies d’una zona pilo en el Del a del Besòs. i IV. Ag adecimien os Tengo muchos mo i os pa a es a ag adecida a muchas pe sonas con las que he enido el p i ilegio de coincidi a lo la go del la go pe iodo desde el inicio has a el inal de es a esis (algunos dicen que lo impo an e no es llega al des ino sino el camino,…). Como no quisie a deja me a nadie quie o ex ende mi ag adecimien o a odas ellas en es e pá a o. Especial ag adecimien o a los di ec o es de es a esis En ic Vázquez y Jesús Ca e a, ha sido un g an hono ap ende de oso os. En ic g àcies pe o el eu ecolçamen i con iança. A Xa ie Sánchez-Vila po apoya es a esis. A odos los compañe os y p o eso es del G upo de Hid ología Sub e ánea C is ina Valhondo, Manuela Ba bie i, Jo di Fon , Anna Ju ado, Viole a Velasco, Héc o de Buen, Ch is ina Scho nbe g, Me i xell G an, Ad ià Ga iga, Radu Gogu, , Ma ía Pool, Jo di Sánchez (es a ez no me ol ido), Sil ia A anda, Leona do Donado, Lui Jan Sloo en, Te esa Tolosana, Alejand o Giménez, Vanessa Zabala, Paolo T inche o, Es anis Pujades, Daniele Ped e i, Ma co Ba ahona, Lu des Ma ínez, Emilio Cus odio, Ca les Ayo a, Daniel Fe nández, Xa ie Sánchez-Vila, Maa en Saal ink, Albe Sole , ... A los compañe os de despacho C is, Leo, Zhi eng Zhan, Giuseppe, Claudia, ... Al g upo de química ambien al del IDAE Susana González, Mi en López de Alda, Damià Ba celó, Mi a Pe o ic y C is ina Pos igo. A Mi eia Iglesias, Xa i Ca e as y Josep Ma ia Niñe ola del ACA y al pe sonal del labo a o io de ATLL en Ab e a. A Joan Casas, Joan Acos a, y An onio Iglesias y en gene al al pe sonal de l’ajun amen de San Ad ià del Besòs, de EUSAB y del Pa c del Besòs. A Aline C., J.Piña, Ma a G., Glò ia M., Neus Q., J.Pinyol, Ped o, ... Muy muy especialmen e a Da id, Gonzali a, Susana y An onio. In ii a g a i ud a mi amilia, a Joan Ca les y a su amilia, que ambién son mi amilia. Chap e 2: Quan i ica ion o G oundwa e Recha ge in U ban En i onmen s 4 2. Quan i ica ion o G oundwa e Recha ge in U ban En i onmen s. This chap e is based on he pape Tubau I, Vázquez-Suñé E, Ca e a J, Valhondo, C. Quan i ica ion o G oundwa e Recha ge in U ban En i onmen s. Science o he To al En i onmen , submi ed. 2.1. In oduc ion G oundwa e , wi h inc easing equency, is conside ed a key ac o in he managemen o u ban a eas (Le ne , 1996; Chil on e al., 1997; Eyles, 1997; Chil on, 1999; Ellis, 1999; Howa d & Is a ilo , 2002; Cus odio, 1997, 2004 and lis o s udies compiled by Naik e al., 2008). Fo one, some ci ies pe o m in ensi e pumping o g oundwa e o a ious uses (wa e supply, indus y, e c.), which can p oduce a numbe o undesi able consequences such as g ound subsidence o de e io a ion o he quali y o wa e as a esul o a ious pa icula causes (e.g. seawa e in usion). Mo eo e , he pumping o g oundwa e in many ci ies ends o be educed o abandoned due o pollu ion and / o changes in land use (e.g. eloca ion o indus ies). In he la e case, he decline in g oundwa e ex ac ion has caused a eco e y o piezome ic le els, gene a ing loods and causing damage o unde g ound in as uc u e in many u ban a eas. Such is he case o Ba celona and i s u ban en i onmen . To con ol hese s uc u al p oblems i is usually necessa y o pump g oundwa e in speci ic a eas wi hin he u ban a ea (unde g ound pa king a eas, building basemen s, unnels, e c.). I is impo an o emembe ha g oundwa e ex ac ion may be necessa y o use ul o co e a ious aspec s o he g owing demand o u ban wa e . I is also due o become a s a egic esou ce ha can mee demand in momen s when he usual supply sou ces may be su e ing p oblems (d ough , acciden s, e c.). The la e conside a ion leads us o wonde whe he u ban g oundwa e can be used sa ely. U ban aqui e s can su e om e y di e se pollu ion sou ces, which include echa ging om he losses o sewe age, pollu ed u ban uno , pollu ed i e s o o he su ace wa e , seawa e in usion, e c. As a esul , a la ge numbe and a ie y o con aminan s can be ound in u ban aqui e s (Howa d e al., 1996; Ba e e al., 1999; Pi , 2001; Le ne , 2002; Mo is e al., 2005; Vázquez-Suñé e al., 2005; Wakida & Le ne , 2005 ; Musol , 2009). Besides "common" pollu an s in he u ban wa e en i onmen , he e a e nume ous o ganic pollu an s o a ious o igins, including a li le unde s ood and poo ly legisla ed Chap e 2: Quan i ica ion o G oundwa e Recha ge in U ban En i onmen s 5 g oup know as eme ging o ganic con aminan s (EOCs), which a e o pa icula conce n o se e al easons (Ellis, 2006; Tubau e al., 2010; Ju ado e al., 2012a and 2012b; Pe ie e al., 2015). To add ess hese p oblems, we mus unde s and he p ocesses ha de e mine he biological and chemical quali y o u ban g oundwa e , which in u n makes i necessa y o quan i y he g oundwa e balance and especially he echa ge mechanisms (o igin, quan i y and quali y). Ob iously, g oundwa e managemen in u ban a eas equi es a de ailed knowledge o he hyd ogeological sys em as well as he adequa e ools o p edic ing he amoun and wa e quali y e olu ion. In his sense, expe ience in u ban g oundwa e is much lowe han in na u al a eas. A key di e ence lies in echa ge e alua ion. A la ge numbe o s udies ha e been published since he 90s ha e alua e echa ge in u ban a eas (see lis o s udies compiled by Naik e al., 2008), wi h no speci ic me hodology. Howe e , i is es ablished ha new u ban g oundwa e echa ge sou ces appea wi hin supply ne wo k losses and sewe losses. Fu he mo e, e apo anspi a ion dec eases due o he sealing su ace. The e o e, he e a e gene ally highe a es o echa ge in u ban han in he na u al se ings (Le ne 2002, Vazquez-Suñe e al., 2005). Con ibu ion e alua ion o each echa ge sou ce has been add essed (Le ne e al., 2002). Gi en hese unce ain ies, mixing a ios can be used o be e es ima e he ela i e impo ance o di e en sou ces o echa ge (Vazquez-suñe e al., 2010, Tubau e al., 2014). Fu he mo e, g oundwa e modeling may p o e a good ool o o al echa ge e alua ion (Vázquez-Suñé & Sánchez-Vila, 1999; Yang e al., 1999; Le ne , 2002 Hussein & Schwa z 2003, Dahan e al., 2004; T owsdale & Le ne 2003 and 2007; Cox e al., 2007). Howe e , his ype o modeling equi es a speci ic app oach o iden i y he con ibu ion o each pa icula sou ce o he o al echa ge. To add ess hese speci ied unce ain ies, a me hodology is p esen ed o pe o m g oundwa e modeling in u ban a eas ha ake in o accoun low and solu e anspo . Howe e , applica ion o eal cases wi h nume ous echa ge sou ces, such as u ban echa ge, has been hinde ed by se e al issues. The i s issue is associa ed wi h limi ed expe ience wi h he iden i ica ion and selec ion o app op ia e solu es. The second issue is he a ailabili y o long head and concen a ion eco ds. Small and spa se eco ds (in ime and space) could cause he nume ical solu ion o be non-iden i iable o uns able. The objec i e o his pape is o p esen a me hodology o help o e come some o he issues abo e. This me hodology will allow us o quan i y he a iabili y in space and ime o he echa ge in o aqui e s in u ban a eas. In his case, he conside ed po en ial sou ces o echa ge a e: (1) di ec ain and u ban uno in il a ion, (2) losses om he sewe sys em, (3) losses om he wa e supply sys em, and (4) o he speci ic sou ces o echa ge (i.e. i e in il a ion, seawa e in usion, e c.). Recha ge calcula ions a e ini ially Chap e 2: Quan i ica ion o G oundwa e Recha ge in U ban En i onmen s 6 pe o med by de ining and applying some analy ical equa ions and alida ion has been assessed based on g oundwa e low and solu e anspo modeling. This allows u ban g oundwa e managemen , by aking in o accoun quan i y and quali y ac o s, o e alua e he ela i e con ibu ion o di e en echa ge sou ces by means o low and solu e anspo modeling app oach a a ci y scale. The me hodology is applied o he assessmen o echa ge sou ces in he Ba celona ci y aqui e s. 2.2. Me hodology The p oposed me hod is applicable when g oundwa e da a a e spa se. This me hod can be conside ed a a ia ion o he wa e - able luc ua ion mass balance me hod (i.e. Healy and Cook, 2002; De V ies & Simme s, 2002). In essence, i is based on calib a ing a la ge scale model while using app op ia ely pa ame e ized a eal echa ge unc ions. In p ac ice, i consis s o he ollowing s eps: 1) Concep ual model de ini ion, 2) Implemen a ion in o a nume ical model, 3) Pa ame e iza ion o a eal echa ge, 4) Calib a ion and 5) I e a ion. These s eps a e de ined as ollows. 1. Concep ual model De ini ion. This is achie ed using con en ional hyd ogeological me hods. I equi es unde s anding geology, hyd ogeology, me eo ology, hyd ology, soil uses, pumping a es, hyd ochemis y, e c. Emphasis mus be placed on e alua ing no only o al inpu s and ou pu s, bu also hei e olu ion o e ime. 2. Implemen a ion in o a nume ical model. Once a concep ual model has been de ined, a nume ical model is buil . This equi es speci ying all pa ame e s as well as he spa ial and empo al disc e iza ion and bounda y condi ions (la e al inpu s, echa ge, pumping a es, e c). 3. Pa ame e iza ion o a eal echa ge. U ban echa ge is de ined as a p esc ibed echa ge in low as ollows: ( ) ( ) 1 , , β = = ∑ N iRi i x x Whe e (x, ) is he echa ge a e (he e exp essed pe a ea uni and ime uni ), N is he numbe o e ms, β i a e unknown u ban echa ge pa ame e s o be es ima ed la e and Ri (x, ) a e unc ions ep esen ing he ime a ia ion o echa ge. Ideally, hese unc ions ep esen di e en modes o u ban echa ge. The ac ha hey a e le in e ms o unknown ac o s β i ough o simpli y hei de ini ion, which mus be p esc ibed by he modele . As men ioned in he in oduc ion, a de ailed accoun o all p ocesses in ol ed can be qui e di icul . Fac o s a ec ing hese may include: (1) echa ge sou ces ( ain all, wa e supply, sewage sys em); (2) pe cen age o u banized a ea; (3) es ima ion o pe cen age o wa e dis ibu ed o losses o mains and sewe s; (4) daily wa e [1] Chap e 2: Quan i ica ion o G oundwa e Recha ge in U ban En i onmen s 7 consump ion pe pe son; (5) popula ion densi y; among o he s. In he u ban a ea all hese ac o s can a y in ime and space. The e o e, i is be e o use simpli ied unc ions ha cap u e he essence o he abo e, ye can be easily de ined wi hou he need o complex models. Some possible unc ions a e de ined below: Recha ge unc ion Ri (x, ) is implemen ed as a echa ge a e in each echa ge a ea, o a gi en ime in e al, as he sum o i e echa ge sou ces [2]: [2]R  , =R  +R  +R  +R  +R  Disagg ega ed, hey a e: [3]R  , =        R  =  ·WP·1−p #$ %+ R  =  ·WI·1−p #$ %+ R  =  ·WS+ R  =  ·[WS·(1−  )·(1−p * )+WS  ·(1−p * + )+WO] R  + =  + ·WP·p #$ ·p #   - Thus, concen a ion o a speci ic compound (Ci) which p o ides he echa ging in each echa ge a ea can be e alua ed as [4]: [4]C 0,1,2 =C 0 345 ·R  +C 0 645 ·R  +C 0 789 ·R  +C 0 788 ·R  +C 0 388+ ·R  + R  , Ci Pnu , Ci Inu , Ci Sws , Ci Sww and Ci Pww’ a e, espec i ely, he speci ic compound concen a ions o each echa ge sou ce e m. In he ollowing sec ions each o hese a iables will be de ined. Recha ge sou ces concep ualiza ion The concep ual model o asses g oundwa e echa ge in u ban a eas (Fig. 2.1 and Table 2.1) has been conside ed based on all a ailable wa e s suscep ible o being echa ged in unde g ound en i onmen s h ough elemen s ha can only p o ide echa ging. This pa icula ly means po en ial wa e s om elemen s, bo h na u al and a i icial, ha can also discha ge g oundwa e ha e no been included, e.g. i e s, aqui e bounda ies, sea bo de s, e c., wi h was ewa e pipes below he wa e able being a special case. He e we ha e conside ed ha he sewage sys em is uni a y (bo h, plu ial and u ban was e wa e is cap u ed by he sys em). Wa e s conside ed a e classi ied in o i e ypes acco ding o chemical cha ac e is ics, po en ial ways o en e g ound, and o igin. The a ing alues a e: (1) [WS] supply wa e lowing h ough he ne wo k; (2) [WS’] supply wa e no lowing h ough he ne wo k, e.g. om pumping g oundwa e ; (3) [WP] ainwa e ; Chap e 2: Quan i ica ion o G oundwa e Recha ge in U ban En i onmen s 8 (4) [WI] wa e in il a ed ia he su ace du ing pe iods o no p ecipi a ion, e.g. di e en wa e sou ces used o i iga ion in a eas no wa e p oo ed; and (5) [WO] o he wa e discha ged by he sewe sys em ha is nei he ainwa e no wa e supply, e.g. g oundwa e d ains om basemen s. Figu e 2-1 Concep ual model o asses g oundwa e echa ge in u ban a eas (see also Table 1). Table 2-1 Syn hesis o e ms and pa ame e s o concep ual model o asses g oundwa e echa ge in u ban a eas (see also Figu e 1). Ne e heless, only a pe cen age o o al olume o hese wa e s echa ges aqui e s. Pe cen ages [ nu , ws , ww and ww’ ] ha e been classi ied in o h ee e ms acco ding o how po en ially wa e can po en ially en e he aqui e : (1) di ec in il a ion h ough unpa ed a eas [ nu ]; (2) losses o om supply mains [ ws ], whe e wa e lows unde p essu e; and (3) losses om sewe [ ww and ww’ ], whe e wa e usually is no unde p essu e. G oup Pa ame e Desc ip ion WS wa e supply lowing h ough he supply ne wo k sys em WS' wa e supply no lowing h ough he supply ne wo k WP ain all WI wa e o i iga ion WO o he wa e discha ged by he sewe sys em ws pe cen age echa ged om losses in he supply ne wo k nu pe cen age echa ged due o in il a ion om su ace ww pe cen age echa ged om sewe losses ww' pe cen age echa ged om sewe losses in ainy season p pa pa ed a ea pe cen age p pww ain all a io lowing in he sewe age sys ems p wsc a io o wa e supply (WS) consumed o e ained and no e u ned o he sewe p wsc' a io o wa e supply (WS') consumed o e ained and no e u ned o he sewe Wa e olume en e ing o u ban sys em G oundwa e echa ge a ios (exp essed as a decimal) Fac o s adap ed o spa ial and empo al disc e iza ion Chap e 2: Quan i ica ion o G oundwa e Recha ge in U ban En i onmen s 9 U ban pa ed su ace is in oduced as a pe cen age o pa ed a ea [p pa ]. This can change wi h ime, p pww is ain all pe cen age cap u ed by he u ban d ainage sys em o sewe age sys em, p wsc and p wsc’ a e pe cen ages o wa e supply consumed o e ained, which he e o e do no e u n o he sewe sys em. One ad an age o his kind o concep ual model is ha i allows o balances wi h he global u ban wa e cycle by aking in o accoun con ibu ions no speci ically hyd ogeological (also see: Eiswi h e al 2004; Thomas & Tellam; 2006; Mo is e al., 2007; Vizin ina a al. 2009, F eni e al. 2009). Each o i e echa ge sou ce e ms is de ined as ollows (Fig. 2.1 and Table 2.1): Rain all echa ge in non-u ban a ea, R Pnu [3.1]: [3.1]R  =  ·WP·1−p #$ % WP is ain all o al olume in an a ea o a gi en ime in e al; p pa is unpa ed a ea pe cen age (exp essed as a decimal), which can be use ul in a eas whe e u banized su ace has changed o e ime, aking alue 0 o na u al a ea and 1 o u ban; nu is he a io o wa e ha echa ges aqui e s due o su ace in il a ion. In sho , R Pnu co esponds o he na u al echa ge and he e o e can be e alua ed using common wa e balance calcula ions in he soil and aking in o accoun pa ame e s such as h eshold uno , e apo anspi a ion a e, unsa u a ed zone hickness, and soil mois u e, among o he s. I iga ion wa e in non-u ban soil, R Inu [3.2]: [3.2]R  =  ·WI·1−p #$ % R Inu is in ended o ag icul u al a eas included in an u ban a ea, al hough i can also be conside ed i iga ion o g een a eas in an u ban con ex i his is assumed signi ican , ei he om a ocus on quali y o quan i y. WI is i iga ion wa e olume in an a ea o a gi en ime in e al, which could come om ei he p e iously eco ded wa e olumes in he o al balance o a ailable wa e , e.g. om wa e supply (WS), o om new con ibu ions o balance, e.g. pumping wells o i e s. p pa and nu a e he same pa ame e s desc ibed in [3.1]. In ac , al hough [3.1] and [3.2] ha e been sepa a ed, R Pnu and R Inu should be conside ed in conjunc ion wi h nu e alua ion. Rain all echa ge in u ban su ace, R Pww’ [3.3]: [3.3]R  =  ·WP·p #$ ·p # Chap e 2: Quan i ica ion o G oundwa e Recha ge in U ban En i onmen s 10 WP and p pa a e desc ibed in [3.1]; p pww is ain all pe cen age cap u ed by he u ban d ainage sys em o sewe age sys em in an a ea; ww is pe cen age echa ged om losses om he sewe sys em in he ainy season. Recha ge om wa e supply ne wo k losses, R Sws [3.4]: [3.4]R  =  ·WS WS is olume o wa e supply lowing h ough he supply ne wo k in a gi en a ea and ws is he pe cen age (as a decimal) o his wa e eaching he aqui e om supply ne wo k losses. Se e al s udies ha e es ima ed his pe cen age om he di e ence be ween wa e supply deli e ed, wa e billed and wa e disappoin ed and some wo ks ake da a om ne wo k sec o s in o de o ake in o accoun aud and losses om la ice de ec s (e.g.Valdés & Cas elló, 2002). Recha ge om seepage losses, (R Sww ) [3.5]: [3.5]R  =  ·[WS·(1−  )·(1−p * )+WS  ·(1−p * )+WO] WS and ws a e de ined in [3.4]; WS’ is wa e olume in an a ea o a gi en ime in e al o consump ion ha is no coming om he gene al supply ne wo k (i.e. om p i a e wells o o he sou ces o supply wa e ), p wsc and p wsc’ a e he espec i e pe cen ages (exp essed as decimals) o wa e supply (gene al o p i a e) consumed o e ained he e o e does no e u n o he sewe sys em; WO is wa e olume in ended o consump ion (no om ne wo k supply) ha is discha ged in o he sewe sys em - o ins ance wa e om g oundwa e d ains o keep an unde g ound s uc u e such as a unnel o building ounda ion dewa e ed; ww is a pe cen age (as decimal) o wa e eaching he aqui e om sewe losses. Chisala and Le ne (2008) explain case s udies and app oaches o quan i y his pa ame e . Pa ame e s o his concep ual model do no explici ly ake in o accoun he p ocesses o he non-sa u a ed zone, an issue in u ban a eas ha is add essed by F iedel (2006). 4. Calib a ion. Calib a ion consis s o adjus ing u ban echa ge pa ame e s β i oge he wi h he emaining model pa ame e s, so as o i obse a ions while ensu ing ha bo h es ima ed pa ame e s and he esul ing model a e consis en wi h p io in o ma ion. The opic is e y b oad and a ull desc ip ion alls beyond he scope o his pape (see Ca e a e al., 2005). The ac ha echa ge pa ame e s a e es ima ed does no equi e any special a en ion. The only issue is ha , in p ac ice, one needs o use in e sion codes. He e we used he Maximum Likelihood Me hod (Ca e a and Neuman, 1986) as implemen ed in VisualTRANSIN (GHS, 2004; Medina and Ca e a, 1996), which leads o minimizing an objec i e unc ion. Chap e 2: Quan i ica ion o G oundwa e Recha ge in U ban En i onmen s 11 λ λ λ = + + ∑ ∑ ∑ h h c c p p F F F F Whe e ( ) 1 * ( *) − = − − h h F h h C h h is he head objec i e unc ion, which penalizes depa u es be ween compu ed and measu ed heads (h and h*, espec i ely) wi h a weigh ing ma ix 1 − h C . Simila de ini ions hold o F c and F p concen a ions and model pa ame e objec i e unc ions, espec i ely. App op ia e weigh ing be ween hese h ee e ms can be ob ained wi h he pa ame e s λ h , λ c and λ p . 5. I e a ion The las wo s eps may be epea ed using di e en echa ge unc ions, o combina ions o hem, un il a sa is ac o y i is ound. 2.3. Applica ion o he Ba celona u ban aqui e s 2.3.1. Concep ual model De ini ion Ba celona and i s a ea o in luence include he ci y and some municipali ies in he me opoli an a ea (Fig. 2.2) wi h a popula ion o o e 3 million people. The a ea is bounded by he Collse ola (no h), he Medi e anean Sea and Besòs del a (no h-eas ) and he Llob ega aqui e s (sou hwes ). The clima e is Medi e anean, wi h an a e age ain all o abou 600 mm / yea . Figu e 2-2 Schema ic desc ip ion o he hyd ogeology o Ba celona. The le main hyd ogeological uni s. Righ piezome ic map (Fo a be e unde s anding ha e been ep esen ed as cu es equidis ance di e en le el. The ed lines ep esen low lines. G oundwa e le els in Ba celona (Fig. 2.2) ha e been ising, which c ea es nume ous p oblems o unde g ound s uc u es (subway, unde g ound pa king lo s, basemen s, e c). In o de o emedia e his p oblem, Ba celona has de eloped he i s ph ea ic wa e 0 2000 4000 6000 Me e s Piezome ic su ace Isolines: 0 - 25 5 m 25 - 250 25m [5] Chap e 2: Quan i ica ion o G oundwa e Recha ge in U ban En i onmen s 12 seconda y dis ibu ion ne wo k in he wo ld. Wa e om his seconda y ne wo k is used o many pu poses in ga den i iga ion and s ee cleaning. Recen ly, he Wa e au ho i ies (Ca alan Wa e agency, ACA) aim is o ge g ea e use o u ban g oundwa e in his a ea, e en o wa e supply pu poses. All o hese possible uses a e condi ioned by p ocesses con olling he wa e ’s quali y. These p ocesses mus be unde s ood o u he de elopmen o he seconda y ne wo k and possible supply uses. To his end, wo k will be pe o med h oughou he whole ci y. One o he key issues he e is he e alua ion o he di e en sou ces o echa ge (Vazquez-Suñé e al., 2005, and 2010). These include: (1) The Besòs Ri e , which la gely con ains wa e om seconda y e luen WWTP (Was ewa e T ea men Plan s), especially du ing he summe ; (2) he in il a ion o ain all in he highlands o he ci y ha a e no buil on (conside ed in e ms o na u al wa e echa ge as "clean"); (3) wa e supply ne wo k losses in he No h-Eas a ea. This wa e is impo ed om he i e Te ; (4) wa e supply ne wo k losses in he Sou h-Wes a ea. This wa e is impo ed om he i e Llob ega ; (5) he was ewa e gene a ed in he No h-Eas sec o ( om he i e Te ); (6) was ewa e sec o Sou h-Wes ( om he i e Llob ega ); (7) u ban uno ainwa e ha leaches in o much o he a mosphe ic deposi ion u ban a ea (se e al kinds o "u ban poles" emissions o ehicles and indus ies, e c.) and echa ge aqui e s h ough losses o di ec in il a ion o sewage; and (8) he in usion o seawa e . Each echa ge sou ce o g oundwa e in u ban a eas in oduces speci ic compounds and con aminan s in o he soil and g oundwa e . A ci y-wide geological model including low and anspo s p ocesses is al eady a ailable. This will be e ined a he pilo a eas, which will be selec ed based on he a ailabili y o exis ing in o ma ion. A comple e Geological and Hyd ogeological Da abase does his need o be capi alized (geology and p e ious hyd aulic pa ame e iza ion, g oundwa e heads e olu ion, g oundwa e hyd ochemis y e olu ion, hyd aulic es , pumping a es, e c.) has been used o build he model o hese aqui e s. 2.3.2. Flow and anspo modeling A huge nume ical low and solu e anspo model o he Ba celona aqui e s has been conduc ed o wa e managemen pu poses. The model is pe o med using ini e elemen Visual T ansin CODE (GHS, 2004). The model s uc u e has been conside ed as consis ing o h ee laye s: he op laye ep esen s he supe icial aqui e sys ems o Ba celona, Badalona and Besòs Del a, he middle laye ep esen s he Main Besòs Del a aqui e and he bo om laye ep esen s he deepes Besòs Del a aqui e . This o e lay ne wo k con ains all a ailable da a (heads and chlo ide concen a ions), limi s and bounda y condi ions o he domain, hyd aulic pa ame e s o aqui e s (i.e: conduc i i y, Chap e 2: Quan i ica ion o G oundwa e Recha ge in U ban En i onmen s 13 s o age coe icien , po osi y, e c.), g oundwa e ex ac ion and echa ge ha e also been included. The pe iod co e s modeling om 1916 o 2006. In his model, calib a ion echniques ha e been used o an in e se p oblem. Tha is, all da a en e ed ha e been compiled and he p og am e u ns hyd aulic pa ame e s consis en wi h he p elimina y in o ma ion a ailable, which p o ide a be e i wi h he le els and concen a ions measu ed. The adjus men is conside ed e y good a he ci y scale. Ano he impo an aspec o he calib a ion consis ency in he mass balance (concep ual model) is in ega ds o g oundwa e in lows and ou lows in he whole sys em and hei empo al a iabili y. The model is conside ed o accu a ely ep oduce he empo al e olu ion o inpu s and ou pu s o he a ious elemen s o he sys em (Fig. 2.3). Un il eaching he inal calib a ion e sion o he model, quan i ica ion o echa ge sou ces p o ide he mos unce ain esul s. To assess a con iden quan i ica ion o echa ge sou ces he me hodology desc ibed in he nex sec ion was applied. Figu e 2-3 Mass balance esul ing o nume ical model. 2.3.3. Simula ion o u ban echa ge Calcula ing wi h he echa ge model c ea ed a unc ion o ime [Eq. 6] ha b ings oge he di e en ypes o echa ge wa e depending on he ype and sou ce o he o iginal wa e be o e in il a ing he g ound, which a e: (1) ainwa e in il a ion om he na u al e ain (o land no build on), which quali ies as a "na u al echa ge", R Pnu ; (2) ap wa e om losses in he supply ne wo k, R Sws , (3) sewe wa e om losses in he sewe sys em, R Sww and R Pww’ and (4) echa ge om i e s o s eams, which has been ea ed di e en ly by ano he ime unc ion. URBAN RECHARGE 27.02 NON-URBAN RECHARGE 2.86 BESÒS RIVER CONTRIBUTION 8.61 CREEKS CONTRIBUTION -3.32 SUBWAY DRAINAGE -3.03 TOTAL ABSTRACTION -34.75 LA LLAGOSTA CONTRIBUTION 6.72 LLOBREGAT AQUIFER CONTRIBUTION -3.39 SEA TOTAL CONTRIBUTION -0.81 STORAGE -0.10 GLOBAL MASS BALANCE (hm 3 /y) SUMMARY TABLE, AVERAGE 1916-2006 ALLUVIAL BOUND. SEA CREEKS BESÒS RIVER BESÒS RIVER LLOBREGAT AQUIFER ABSTRACTIONS RECHARGE ∆S SUBWAY MASS BALANCE INPUT/OUTPUT BESÒS MAIN AQUIFER (LAYER 2) BESÒS LOWER AQUIFER (LAYER 3) NON-URBAN ZONE URBAN ZONE BESÒS ALLUVIAL BESÒS SHALLOW AQUIFER Chap e 2: Quan i ica ion o G oundwa e Recha ge in U ban En i onmen s 20 2.5. Conclusions A eal echa ge may be he mos impo an inpu in u ban aqui e sys ems. Ye , accu a e e alua ion o his inpu is di icul . We p esen ed a me hodology o help es ima e he a eal echa ge o u ban aqui e s. The p oposed me hod is essen ially simila o he wa e - able luc ua ion mass balance me hod, applicable when g oundwa e head da a a e spa se, so ha lack o spa ial and empo al co e age is au oma ically in e pola ed by he model. I consis s in (1) de ini ion o he concep ual model; (2) implemen a ion in o a nume ical model; (3) pa ame e iza ion o u ban echa ge; (4) calib a ion and (5) i e a ion. The wo las s eps need o be epea ed un il inding he bes i is ound o he ange o unce ain y is na owed. This me hodology is applicable o complex sys ems by aking in o accoun empo al a iabili y o all wa e sou ces. A ansien (1916-2006) g oundwa e low and solu e anspo model o he Ba celona u ban aqui e s was buil as a ool o helping in de ining he managemen p og am. This model was calib a ed agains heads and chlo ide concen a ion da a ob aining e y sa is ac o y i s o bo h a iables. Mass balance and hyd aulic pa ame e s we e also consis en wi h p io calcula ions. This applica ion e lec s he impo ance o echa ge e olu ion on he aqui e s mass balance. They a e one o he mos impo an inpu s. We belie e ha he si ua ion ound in he Ba celona u ban aqui e may be ypical o many u ban aqui e sys ems. A eal echa ge in u ban a eas may be a e y signi ican po ion o o al inpu s. He e i was he i s . Based on gene al c i e ia in he calib a ion p ocess o echa ge we p o ide ha : − Hypo hesis o assess echa ge in u ban a eas ha e been p oposed based on pe cen ages o wa e mains and sewe ne wo k suscep ible o losses and echa ge he g oundwa e scheme. These wa e s a e classi ied acco ding o hei chemical p ope ies, po en ial ways o en e he g ound, and o igin. Fo his pa icula s udy case, he spa ial and empo al disc e iza ion echa ge, in absence o mo e di ec da a, uses popula ion densi y, pe capi a alloca ion, and land use. − Calib a ion o a ious echa ge scena ios equi es ha o he pa ame e s o be calib a ed o ha e he minimum amoun o de ia ion possible. − A good head se ing may no be su icien o quan i y echa ge, especially in hose a eas in luenced by bounda ies; in which case hyd ochemical measu es a e use ul o alida e o ejec he esul ing concep ual model. Chap e 3: Occu ence and a e o alkylphenol polye hoxyla e deg ada ion p oduc s and linea alkylbenzene sul ona e su ac an s in u ban g oundwa e : Ba celona case s udy. 21 3. Occu ence and a e o alkylphenol polye hoxyla e deg ada ion p oduc s and linea alkylbenzene sul ona e su ac an s in u ban g oundwa e : Ba celona case s udy. This chap e is based on he pape Tubau I, Vázquez-Suñé E, Ca e a J, González S, Pe o ic M, López de Alda MJ, Ba celó D. Occu ence and a e o alkylphenol polye hoxyla e deg ada ion p oduc s and linea alkylbenzene sul ona e su ac an s in u ban g oundwa e : Ba celona case s udy. Jou nal o Hyd ology; 383(2010):102–110. doi:10.1016/j.hyd ol.2009.11.030. 3.1. In oduc ion High popula ion g ow h inc eases he demand o wa e and he gene a ion o was ewa e . g oundwa e is an impo an esou ce o wa e supply in he wo ld and aqui e s in u ban zones a e ulne able o con amina ion by a a ie y o con aminan s due o u ban ac i i ies. App oxima ely 90 % o he wa e o supply comes om impo ed su ace wa e in he ci y o Ba celona, which is he s udy a ea. Since supply sou ces a e subjec o pe iodic d ough s, he Ca alan Wa e Agency (ACA) is seeking al e na i e wa e esou ces. The e a e a numbe o aqui e s wi h a ying li hologies and ages below he ci y (Váquez-Suñé e al., 2005). The e o e, g oundwa e mus be conside ed as an op ion. The ques ion is whe he u ban g oundwa e can be used sa ely. U ban aqui e s may su e pollu ion om di e en sou ces, including losses om wa e supply ne wo ks, leakage om sewe s, seepage om i e s o o he su ace wa e bodies, seawa e in usion, e c. As a esul , a la ge numbe and a ie y o con aminan s may be ound in u ban aqui e s (Howa d e al., 1996; Ba e e al., 1999; Le ne , 2002; Mo is e al., 2005; Váquez-Suñé e al., 2000; Wakida and Le ne , 2005; Naik e al., 2008). Some o hese con aminan s a e subjec o en i onmen al quali y s anda ds (EQS) in d inking wa e (Council o he Eu opean Union, 1998), g oundwa e (Eu opean Pa liamen and Council o he Eu opean Union, 2006), and/o su ace wa e (Eu opean Pa liamen and Council o he Eu opean Union, 2008). O he was ewa e subs ances, also known as eme ging con aminan s, whose oxici y, occu ence and pe sis ence a e less well known, a e Chap e 3: Occu ence and a e o alkylphenol polye hoxyla e deg ada ion p oduc s and linea alkylbenzene sul ona e su ac an s in u ban g oundwa e : Ba celona case s udy. 22 subjec o e iew o possible iden i ica ion as p io i y subs ances o p io i y haza dous subs ances (Eu opean Pa liamen and Council o he Eu opean Union, 2008). The lis o p io i y subs ances in he ield o wa e policy, adop ed o he i s ime in 2004 and e ised in 2008, includes a o al o 33 subs ances, some o which had ne e been subjec o egula ion in wa e be o e. This is he case o he alkylphenol polye hoxyla es (APEOs) deg ada ion p oduc s (DPs) nonylphenol (NP) and oc ylphenol (OP). APEOs a e nonionic su ac an s ex ensi ely used by indus y, and in he pas also in household p oduc s. Scien i ic e idence on he occu ence and oxici y in wa e o hei deg ada ion p oduc s mo i a ed he iden i ica ion o NP and OP as p io i y haza dous subs ances and he es ablishmen o EQS o hem in su ace wa e s, which ansla ed in annual a e age (AA) concen a ions o 0.3 and 0.01–0.1 lg/L o NP and OP, espec i ely, and a maximum allowable concen a ion (MAC) o 2 lg/L o NP. These compounds as well as o he APEOs DPs, such as alkylphenol ca boxyla es (APECs), a e o en ound in su ace wa e s, a concen a ions some imes su passing he es ablished EQS as e idenced, o ins ance, in a b oad su ey ca ied ou a he Eu opean le el in sea ch o he occu ence o 35 selec ed compounds in i e wa e samples om o e 100 Eu opean i e s (Loos e al., 2009). O he s udies, such as an ex ensi e su ey ca ied ou in 2000 in he USA o e alua e he p esence o 65 o ganic was ewa e con aminan s in 47 g oundwa e si es om 18 s a es, ha e e idenced also hei p esence in aqui e s (Ba nes e al., 2008). In ac , APEOs DPs we e among he sea ched con aminan s mos abundan and mos equen ly de ec ed in bo h o he abo e s udies. In he s udy a ea, González e al. (2004) obse ed he p esence o APEOs DPs and LAS a hund eds o lg/L concen a ions a he en y poin s o was ewa e ea men plan s (WWTPs). This s udy is ocused on deg ada ion p oduc s o nonionic su ac an s APEOs and he ionic su ac an s LAS. LAS and hei deg ada ion p oduc s (sul ophenyl ca boxyla es, SPC) a e no ega ded as p io i y subs ances al hough hey a e oday he mos common domes ic su ac an s in he a ea. Su ac an s a e used in a a ie y o indus ial and domes ic p oduc s such as cleaning p oduc s, deg ease s and de e gen s. They a e no mally di ided in o ou main g oups: (1) anionics, (2) nonionics, (3) ca ionics and (4) ampho e ics (Ying, 2006). Anionic and nonionic su ac an s cu en ly accoun o 90% (50% and 40% espec i ely) o he su ac an p oduc ion in wes e n Eu ope, i.e. 2.5 million ons in 2002. LAS accoun o 45% o he anionics, whe eas a y alcohol e hoxyla es (AEs) and APEOs ep esen 60% and 10% o he nonionics, espec i ely (Eu opean Commi ee o O ganic Su ac an s and hei In e media es, 2007). The mos widely s udied APEOs a e nonylphenol polye hoxyla es (NPEOs) and oc ylphenol polye hoxyla es (OPEOs), (see Fig. 3.1 o nomencla u e). Chap e 3: Occu ence and a e o alkylphenol polye hoxyla e deg ada ion p oduc s and linea alkylbenzene sul ona e su ac an s in u ban g oundwa e : Ba celona case s udy. 23 Figu e 3-1 Ac onyms and chemical s uc u es o alkylphenol e hoxyla es (APEOs) and some o hei deg ada ions p oduc s (DPs). Comme cially p oduced APEOs con ain be ween 6 and 12 e hoxyla e g oups (APnEO, n = 6, …, 12). These unde go apid p ima y biodeg ada ion (Gige e al., 1984; Ahel e al.,1994a; Di Co cia e al., 1998; Jonke s e al., 2001). This ini ial bio ans o ma ion o APEOs p oduces deg ada ion p oduc s wi h sho ened e hoxy chains, mainly AP2Es and AP1Es (AP2EOs, AP1EOs and he mo e hyd ophilic AP2ECs and AP1ECs), Fig. 3.2. Ca boxyla ed e hoxy chains AP2ECs and AP1ECs ha e been obse ed in ae obic biodeg ada ion (Ahel e al., 1994b; Lu e al., 2008) bu no unde anae obic condi ions (Lu e al., 2008). Anae obically ea ed sewage sludge a o s he o ma ion o APs (Gige e al., 1984; Ahel e al., 1994a; Ejle sson e al., 1999). Figu e 3-2 Bio ans o ma ion pa hways o alkylphenol polye hoxyla es. Chap e 3: Occu ence and a e o alkylphenol polye hoxyla e deg ada ion p oduc s and linea alkylbenzene sul ona e su ac an s in u ban g oundwa e : Ba celona case s udy. 24 The oxici y o APEOs is inc eased wi h dec easing e hoxyla e chain leng h (S aples e al., 2004; Ba be e al., 2007). Alkylphenol (AP) is hei sho es chain and he mos oxic (En i onmen Canada, 1999). Because o hei oxici y and pe sis ence, APEOs ha e been eplaced by LAS and AEs since he mid 1960s. LAS and AEs a e mo e biodeg adable and hei biodeg ada ion p oduc s a e less oxic (Kime le and Swishe , 1977). LAS is ae obically well deg aded and he o ma ion o me aboli es (mainly SPCs) well known (Yada e al., 2001; Scheleheck e al., 2007) and display high le els o biodeg ada ion in some WWTPs (B unne e al., 1988; Schöbe l and Ma l, 1989; Thiele e al., 1997). Howe e , LAS a e belie ed no o deg ade signi ican ly unde s ic ly anae obic condi ions in labo a o y es s o anae obic diges e o sewage sludge (Be na e al., 2007). LAS, APEOs and hei deg ada ion p oduc s ha e been de ec ed in he en i onmen : es ua ine and coas al zones (Vi ian, 1986; González e al., 2004; Zolle , 2006), i e s (Ahel e al., 1994b; Céspedes e al., 2005; Loos e al., 2009), g oundwa e wi h apid in il a ion o un ea ed and ea ed was ewa e (Ba be e al., 1988; Field e al., 1992; Leenhee e al., 2001; La o e e al., 2003; Swa z e al., 2006). Mo eo e , he beha io o LAS and APEOs has been s udied unde labo a o y condi ions (La son and Games, 1981; Manzano e al., 1998; Pe ales e al., 1999; Jonke s e al., 2001; Ying e al., 2008). O e all, i is no known o wha ex en do biodeg ada ion pa hways s udied in he labo a o y and was ewa e plan s explain wha occu s in ppb concen a ion in he na u al en i onmen , especially in g oundwa e whe e he esidence ime is long and whe e wa e may unde go a sequence o edox condi ions. In ac , K uege e al. (1998) compa ed mass emo al a es o LAS in labo a o y column expe imen s and ield ace es s. Biodeg ada ion was 2–3 imes highe in he labo a o y han in he ield unde simila concen a ions o dissol ed oxygen. Ying e al. (2008) compa ed he biodeg ada ion o NPs and OPs unde ae obic and anoxic condi ions in he labo a o y using wa e and soil om aqui e s. The e ha e been ewe s udies on he a e o APEOs in u ban g oundwa e , e.g. deg ada ion o APEOs in g oundwa e nea i e s (Ahel e al., 1996) and LAS in con amina ion plumes (Thu man e al., 1986; Ba be e al., 1988; La son e al., 1989). This s udy deals wi h he a e APEOs DPs and LAS su ac an in u ban g oundwa e a ield scale. To his end, he occu ence o APEOs DPs in g oundwa e was compa ed wi h: (1) sou ces o echa ge o /and pollu ion con aining hese subs ances, (2) g oundwa e edox condi ions, (3) occu ence o linea alkylbenzene sul ona e (LAS) which a e nowadays he mos common domes ic su ac an s in he a ea and (4) o he common con aminan s in u ban g oundwa e in he ci y o Ba celona. The APEOs DPs analyzed we e NP2EC, NP1EC, NP, OP2EC, OP1EC and OP. In his s udy, only he o iginal LAS p oduc was analyzed. Chap e 3: Occu ence and a e o alkylphenol polye hoxyla e deg ada ion p oduc s and linea alkylbenzene sul ona e su ac an s in u ban g oundwa e : Ba celona case s udy. 25 3.2.1. Si e desc ip ion The s udy a ea occupies 136 km2 and includes Ba celona and some owns o he me opoli an a ea (Fig. 3.3), wi h a popula ion o 2.2 million. Clima e is Medi e anean wi h an a e age ain all o some 600 mm/yea . The a ea is bounded by he Collse ola ange (Ca alan coas al anges, maximum ele a ion 512 m.a.s.l.), he Medi e anean sea and Besòs del a ( o he no heas ) and he Llob ega del a (sou hwes ). Aqui e s wi h di e en li hologies and ages ha e been mapped unde he ci y. g oundwa e lows gene ally seawa ds om he moun ain ange in all o hem (Fig. 3.3). Se e al echa ge sou ces in he aqui e s o Ba celona ha e been iden i ied (Váquez-Suñé e al., 2000). These include ain all in il a ion in he non-u banized a eas a he highe pa s o he ci y (Fig. 3.3 and 3.4). They a e ega ded as ‘‘clean” na u al echa ge wa e . The e a e wo po en ial in lows om su ace wa e bodies: seawa e in usion and wa e om Besòs Ri e . Figu e 3-3 Schema ic desc ip ion o s udy a ea. Bo om, loca ion and cha ac e is ics g oundwa e sampling poin s and piezome ic map, no e ha con ou s in e al a e 5 m o heads below 25 m (con inuous lines) and 25 m abo e (dashed). No e he change in g adien a he Paleozoic and Qua e na y con ac s. Figu e 3-4 Es ima ed annual a e age g oundwa e balance in he pe iod 2000–2006 exp essed as pe cen age o inpu s (modi ied a e Vázquez-Suñé e al., 2005). Chap e 3: Occu ence and a e o alkylphenol polye hoxyla e deg ada ion p oduc s and linea alkylbenzene sul ona e su ac an s in u ban g oundwa e : Ba celona case s udy. 26 The la e con ains a la ge p opo ion o e luen s om seconda y WWTPs, especially du ing he summe . Addi ional sou ces o g oundwa e echa ge a ibu able o an h opic ac i i ies include: (1) losses om he wa e supply ne wo k (supply wa e comes om he Llob ega Ri e in sou he n qua e s and om he Te Ri e in no he n qua e s), (2) in pa ed a eas, uno wa e , which washes away he u ban su ace a mosphe ic deposi ion and echa ges he aqui e s h ough di ec in il a ion o sewe seepage, and (3) losses om sewage wa e . Acco dingly, we iden i ied up o eigh di e en echa ge sou ces in he ci y o Ba celona: Ri e Besòs, (2) ain all echa ge in no he n non-u ban a ea, Te Ri e wa e supply, (4) Llob ega Ri e wa e supply, (5) Te Ri e sewage wa e , (6) Llob ega Ri e sewage wa e , (7) Ci y uno and (8) Sea wa e in usion. 2.3.4. Sampling Fi y- h ee wa e samples we e collec ed om Sep embe 2006 o Janua y 2007 (Fig. 3.3). Two samples om possible echa ge sou ces: one sample om Ri e Besòs and one sample o d inking wa e om a public ap. Fi y-one samples we e collec ed om g oundwa e : h ee samples om na u al sp ings, 23 om obse a ion piezome e s and 25 om ac i e wells belonging o p i a e indi iduals and companies (i.e., cu en ly pumped, no om disused wells). Piezome e and wells a ied in dep h (Fig. 3.3). Piezome e samples we e ob ained by pumping un il a olume ha was a leas h ee imes ha o he piezome e had been ex ac ed. Field pa ame e s measu ed in si u included elec ic conduc i i y, pH, empe a u e, Eh and dissol ed oxygen. They we e measu ed con inuously using a low cell o a oid con ac wi h he ai . The ins umen s we e calib a ed daily by means o s anda d solu ions. Samples we e collec ed a e s abiliza ion o ield pa ame e s and we e no il e ed in he ield. Each wa e sample unde wen chemical analysis in acco dance wi h he Spanish guidelines o d inking wa e (Royal Dec ee 140/ 2003). These guidelines include 53 pa ame e s ( ou adioac i i y pa ame e s we e no analyzed). The discussion o he esul s o his s udy only add esses some o he main ace species o was e wa e such as ni a e, ammonium, bo on, T ichlo e hene and Pe chlo e hene. Su ac an samples we e s o ed in Polye hylene e eph hala e (PET) con aine s ha we e ambe in colo o a oid pho o-deg ada ion. Con aine s we e s o ed in a e ige a o a 4 °C un il anspo o he labo a o y, whe e he samples we e ea ed on a daily basis. Once in he labo a o y, su ac an s samples we e il e ed h ough 0.45 µm memb ane il e and p econcen a ed on LiCh olu C18 (Me ck, Da ms ad , Ge many) solid phase ex ac ion (SPE) ca idges (IST, UK) wi hin 24 h in o de o a oid any deg ada ion o a ge compounds and loss o sample in eg i y. All SPE expe imen s we e pe o med using a Bake SPE 12 g appa a us (J.T. Bake , De en e , Ne he lands) connec ed o a acuum sys em se a -15 psi o he dispensing o samples Chap e 3: Occu ence and a e o alkylphenol polye hoxyla e deg ada ion p oduc s and linea alkylbenzene sul ona e su ac an s in u ban g oundwa e : Ba celona case s udy. 27 h ough he SPE ca idges. Disposable 3-mL ca idge columns packed wi h 500 mg o LiCh olu C18 so ben om Me ck (Da ms a , Ge many) we e ac i a ed and condi ioned i s wi h 7 mL o me hanol and hen wi h 3 mL o HPLC wa e a a low a e o 1 mL/min. Samples we e loaded a a low a e o 5 mL/min. A e p econcen a ion, he so ben s we e comple ely d ied (30 min) o a oid hyd olysis. A e d ying, he SPE ca idges we e w apped in aluminum oil and kep a -20 °C un il analysis (max. 1 mon h). Ca idges we e elu ed wi h 2 x 4 mL o me hanol. The elua es we e e apo a ed o d yness wi h a gen le s eam o ni ogen and econs i u ed wi h me hanol o a inal olume o 1 mL. The comple e SPE p ocedu e is desc ibed by Pe o ic e al. (2001). 2.3.5. Analy ical me hods All sol en s (wa e , ace oni ile and me hanol) we e high pe o mance liquid ch oma og aphy (HPLC) g ade and we e pu chased om Me ck (Da ms ad , Ge many). The s anda ds used in his s udy we e o he highes pu i y a ailable. High pu i y (98%) 4- e -OP and 4-NP we e ob ained om Ald ich (Milwaukee, WI, USA). OP1EC, OP2EC, NP1EC and NP2EC we e syn hesized acco ding o he me hod desc ibed by Diaz e al. (2002). Comme cial LAS wi h low dialkyl e alinsul ona e con en (<0.5%) we e supplied by Pe oquimica Española S.A. in a single s anda d mix u e wi h he p opo ional composi ion o he ou homologs o : C10: 3.9%, C11: 37.4%, C12: 35.4%, C13: 23.1%. 4-n- NP-d8 used as he in e nal s anda d we e ob ained om D . S. Eh ens o e (Augsbu g, Ge many). S ock solu ions (1 mg/mL) o indi idual s anda ds and s anda d mix u es we e p epa ed by dissol ing p ecise amoun s o pu e s anda ds in me hanol. S anda d wo king solu ions we e ob ained by u he dilu ion o s ock solu ions wi h me hanol. Analyses we e pe o med on a Wa e s 2690 se ies Alliance HPLC (Wa e s, Mil o d, MA) wi h a qua e na y pump equipped wi h a 120 ial capaci y sample managemen sys em. The analy es we e sepa a ed on a 5 µlm, 125 x 2 mm i.d., C18 e e sed-phase column (Pu osphe STAR RP-18), p eceded by a gua d column (4 x 4, 5 lm) o he same packing ma e ial, bo h supplied by Me ck, Da ms ad , Ge many. The sample injec ion olume was se a 10 µL. A bina y mobile phase g adien wi h me hanol (A) and wa e (B) was used o analy e sepa a ion a a low a e o 200 µL/min. The elu ion g adien was linea ly inc eased om 30% A o 80% A in 10 min, hen inc eased o 95% A in 10 min and kep isoc a ic o 5 min. A bench op iple quad upole mass spec ome e Qua o liquid ch oma og aphy (LC) om Mic omass (Manches e , UK) equipped wi h a pneuma ically assis ed elec osp ay p obe and a Z-sp ay in e ace was used o his s udy. Capilla y ol age was se a -2.8 kV, ex ac o lens a 7 V, and RF lens a 0.6 V. The sou ce and desol a ion empe a u es we e 150 and 350 °C, espec i ely. The ni ogen lows we e op imized al 50 L/h o he in cone gas and 540 L/h o Chap e 3: Occu ence and a e o alkylphenol polye hoxyla e deg ada ion p oduc s and linea alkylbenzene sul ona e su ac an s in u ban g oundwa e : Ba celona case s udy. 28 desol a ion gas. Fo andem mass spec ome y (MS–MS) expe imen s, he a gon collision gas was main ained a he p essu e o 5.8 x 10-3 mba . The de ec ion was pe o med unde nega i e ioniza ion (NI) by LC–MS–MS in mul iple eac ions moni o ing (MRM) mode as desc ibed by Pe o ic e al. (2003) and González e al. (2008). 3.2. Resul s and discussion 3.2.1. Gene ic pollu ion: ammonium, ni a e and pe chlo e hene Resul s o gene ic con aminan s a e shown in Table 3.1 and Fig. 3.5. Based on he esul s o a s a is ical analysis o chemical da a, g oundwa e samples collec ed in he s udy a ea we e g ouped in o h ee ca ego ies (Z1, Z2 and Z3). Z1 a e samples aken in non-u ban zone and he emaining samples was di ided acco ding o he concen a ion o ammonium: samples wi h an ammonium concen a ion lowe han 0.3 mg/L (Z2) and samples wi h a concen a ion highe han 0.3 mg/L (Z3). As i u ns ou , he samples in Z3 we e collec ed in aqui e s nea Ri e Besòs which lows o e del aic aqui e s wi h high ansmissi i y and wa e le els close o he soil su ace. As a esul , mos o he echa ge comes om he i e . Zone Z2 samples displayed ai ly oxidizing condi ions, mainly hose loca ed in he lowe hal o he ci y (Fig. 3.5). Reducing condi ions a e ound in Z2 samples aken om deep piezome e s wi h opening in schis s (Fig. 3.3 and 3.5). Ni a e concen a ions exceeding 50 mg/L we e de ec ed in 22 ou o 33 samples and exceeded 50 lg/L o pe chlo e hene (PCE) in app oxima ely one hi d o he samples. By con as , educed species such as ammonium p e ailed in Z3 samples. Despi e he ac ha Z3 is in a p edominan ly indus ial a ea, PCE and ichlo e hene (TCE) concen a ions we e ela i ely lowe (mean o 5.8 lg/L). G oundwa e in he non-u ban zone (Z1) was ai ly di e se. Shallow samples we e ae obic, while he deep ones we e educing. Ne e heless, o al ni ogen, bo on and PCE we e low, indica ing ha pollu ion was much lowe han in Z2 and Z3. Ni a e, ammonium and bo on a e used as ace s o was e wa e in u ban g oundwa e (Wakida and Le ne , 2005; Ba e e al., 1999). High concen a ions o bo on (and ions such as chlo ide and sodium) we e de ec ed in samples om del aic ma e ials as a esul o ma ine in usion in he lowe pa s o he ci y. The esul s o one sample (‘‘PEAR”, Fig. 3.5) a e included in he s udy al hough hey a e no classi ied in zone Z2 because his sampleappea s o come om an indus ial pollu ion si e and may no be ep esen a i e o Z2 wa e s. Ve y high concen a ions o o al o ganic ca bon we e de ec ed in his sample (186 mg/L, wo o de s o magni ude g ea e han he emaining samples), BTEX (benzene, oluene, e hylbenzene and xylenes) and low Eh. Chap e 3: Occu ence and a e o alkylphenol polye hoxyla e deg ada ion p oduc s and linea alkylbenzene sul ona e su ac an s in u ban g oundwa e : Ba celona case s udy. 29 Table 3-1 Gene ic con aminan a e age and maximum concen a ions in he s udy a ea g ouped acco ding o he zones o Fig. 3.5. Figu e 3-5 Spa ial dis ibu ion o ammonium, ni a e, pe chlo e hene and bo on. 3.2.1. Su ac an s: LAS and APEOs deg ada ion p oduc s LAS was he su ac an wi h highes concen a ions in po en ial echa ge wa e s (Table 3.2). Despi e he ac ha alkylphenolic su ac an s ha e been banned in domes ic p oduc s in he s udy a ea since he 1990s, APEOs DPs we e de ec ed by González e al. (2004) in WWTPs and also in he i e sample (Table 3.2). No wi hs anding, concen a ions o APEOs DPs we e much lowe han LAS concen a ions in echa ge wa e s. This con as s wi h aqui e samples om Z3 whe e highe concen a ions o APEOs DPs han LAS we e de ec ed (Table 3.3 and Fig. 3.6). The highes concen a ions o all he APEOs DPs we e ound in wells and piezome e s loca ed in Z3. Recha ge in his a ea comes basically om he i e . Ne e heless, measu ed concen a ions in Z3 we e highe han concen a ions in he i e , NP2EC being he maximum. Ahel e al. (1996) Amonium (mg/L) 0.0 (0.24) 0.0 (0.07) 2.9 (8.6) Ni a e (mg/L) 18.4 (49.94) 71.6 (280.74) 10.3 (24.15) Bo on ( µ g/L) 69.9 (154.94) 185.8 (753.53) 378.0 (700.47) Te aclo e hene ( µ g/L) 1.0 (4.59) 53.9 (347.86) 5.8 (24) T iclo e hene (µg/L) 0.1 (0.53) 11.8 (119.6) 2.1 (5.3) a Resul s a e g ouped as in Fig.3.5 . a e age (maximum) Z1 a (8 samples) Z2 a (33 samples) Z2 a (33 samples) PEAR PEAR Chap e 4: Using EMMA and MIX analysis o asses mixing a ios and o iden i y hyd ochemical eac ions in g oundwa e . 36 me hodology is applied o he assessmen o i e echa ge wa e s in he Besòs Del a aqui e s in Ba celona, Spain. The p oposed app oach consis s o ou s eps: (1) iden i ying he po en ial sou ces o echa ge, (2) cha ac e ising echa ge sou ces and mixed wa e samples using hyd ogeochemis y, (3) selec ing chemical species ( ace s) o be used in he analysis and (4) calcula ing mixing a ios and iden i ica ion o hyd ochemical eac ions in g oundwa e . Figu e 4-1 Ri e e sus g oundwa e a e age concen a ions in he s udy a ea o se e al o species such as majo and mino ions, me als, edox indica o s, pes icides, among o he s. The i e da a se is collec ed mon hly by he Ca alan Wa e Agency (ACA) 2 km ups eam o he s udy zone and i can be downloaded om h p://www.genca .ca . 4.2. Me hodology and da a ea men 4.2.1. Iden i y he sou ces o echa ge The iden i ica ion o he echa ge sou ces is speci ic in each s udy a ea and i equi es an unde s anding o he sys em. Wa e balances and nume ical models can help in dis ega ding po en ial sou ces o conside ing new ones. Anyway, a p e ious concep ual model is necessa y in o de o iden i y he po en ial end-membe s and o e alua e p elimina y alues o he o e all g oundwa e balance. Flow a e and hyd ochemis y o a echa ge sou ce can a y g ea ly o e ime. The e o e, i is w ong o conside a echa ge sou ce as a single componen in he hyd ochemical balance. The a iabili y o he hyd ochemical composi ion o a echa ge sou ce can be cha ac e ized by he in eg a ion 1.E-05 1.E-04 1.E-03 1.E-02 1.E-01 1.E+00 1.E+01 1.E+02 1.E+03 1.E+04 1.E+05 1.E+06 1.E-05 1.E-04 1.E-03 1.E-02 1.E-01 1.E+00 1.E+01 1.E+02 1.E+03 1.E+04 1.E+05 1.E+06 Log concen a ion G oundwa e , ppm Log concen a ion Ri e , ppm Majo ions Gene al indica o s Me als T ihalome hanes Polycyclic a oma ic hyd oca bon Alkylphenols Pes icides 1:1 Chap e 4: Using EMMA and MIX analysis o asses mixing a ios and o iden i y hyd ochemical eac ions in g oundwa e . 37 o di e en end-membe s. In addi ion, he a iabili y in he composi ion o a echa ge sou ce can be quan i ied om mixing calcula ions. The same could be applied o g oundwa e and i s di e en echa ge sou ce con ibu ions. 4.2.2. Cha ac e iza ion o he hyd o chemical composi ion o po en ial echa ge sou ces and mixed wa e samples Quali a i e analysis Many o he hyd ochemical species in he mixed wa e s can help in iden i ying he sou ce wa e s, bu a p io concep ual model is equi ed bo h o an assessmen o geochemical condi ions and o selec ing he ace ha migh display he b oades ange o concen a ion among he echa ge sou ces. Mos o he hyd ochemical species conside ed canno be used unc i ically because hei beha io migh depend on local geochemical condi ions (e.g., sulpha e would no be conse a i e in educing en i onmen s). Thus, he selec ion o he app op ia e species is a c i ical s ep in mixing calcula ions (Ba e e al., 1999; Choi e al., 2005; Mo is e al., 2006; Ju ado e al., 2013). We ha e o ake in o accoun ha hei concen a ions should also a y widely om one sou ce o ano he . Again, i is necessa y o a p e ious hyd ochemical concep ual model o selec he mos help ul species. Mixing calcula ions a e ep esen a i e o he analysed samples and inco po a e some deg ee o unce ain y. These unce ain ies a e mainly ela ed o sampling, handling and analy ical e o s; lack o da a; and he occu ence o addi ional p ocesses ( eac ions). Mul i a ia e analysis (EMMA) o selec he end-membe s and he species in he mixing calcula ions As s a ed abo e, an EMMA o e s an app oach whe e eigen ec o and esidual analysis o obse ed wa e chemis y es ima es he numbe o con ibu ing end-membe s. An EMMA aims a iden i ying he minimum numbe o end-membe s equi ed o explain he a iabili y o measu ed concen a ions in ime o space. An EMMA helps o manage he deg ee o unce ain y associa ed wi h he concep ual model. The explana ion o he a iance and he con ibu ion o each species o he mix u e a e ob ained om he analysis o in o ma ion p o ided by he calcula ion o he eigen alues. We p opose he ollowing me hodological guidelines o he selec ion o end-membe s and species: a) Ini ia e EMMA wi h all species and ake u he s eps ha will elimina e he species wi h he highes weigh in he eigen alue. b) A common ule is o e ain all eigen ec o s associa ed wi h eigen alues (n) g ea e o equal o 1, called he “ ule o 1” (Hoope , 2003; Jo eskog e al., 1976). This ule Chap e 4: Using EMMA and MIX analysis o asses mixing a ios and o iden i y hyd ochemical eac ions in g oundwa e . 38 consis s o selec ing he eigen alues ha explain a iance g ea e han [1/numbe o specie]. c) Selec ion o species acco ding o hose eigen alues ha we wan o explain. The numbe o end-membe s will be n + 1. d) P ojec ion o he obse a ion poin s in he space de ined by he eigen ec o s associa ed wi h each eigen alue. Wi h his p ojec ion, i is possible o make a p elimina y selec ion o end-membe s and an analysis o he poin s ha all ou side he a ea de ined by hese end-membe s. This ype o g aphic is a isual way o in e p e he mixing o all he species in ol ed and o assess he end-membe s. Hence, we can in e ha sou ce o a combina ion o sou ce e ms o p ocesses may explain he mixing. These s eps may iden i y he species and/o combina ions o species ha be e explain he end-membe s selec ed. In addi ion, we also ha e a p e y good idea o how a we can es ablish he sys em. The selec ed end-membe s and species conside ed in he EMMA analysis a e hose used o ini ia ing he mixing calcula ions. 4.2.3. Compu e mixing a ios and e alua ion o he end-membe composi ion To s udy he in luence o wa e s om di e en sou ces, he code MIX (Ca e a e al., 2004) can be used. This so wa e can be eely downloaded om h p://www.h2ogeo.upc.es/so wa e/MIX_PROGRAM/index.h m. MIX is a maximum likelihood me hod o es ima ing mixing a ios whils acknowledging unce ain y in end-membe concen a ions. Maximising he likelihood o concen a ion measu emen s wi h espec o bo h mixing a ios and end-membe concen a ions leads o a gene al cons ained op imisa ion p oblem. The a iables mus sa is y some condi ions o be sui able in mixing models: hey mus exhibi a conse a i e beha io and hei alues mus be signi ican ly di e en in he ex eme componen s. This me hod also allows us o o mula e a hypo hesis abou he geochemical eac ions esponsible o he non-conse a i e beha io in elemen s. MIX code allows he e alua ion o mixing a ios in case o unce ain end membe s using he concen a ions o mixed samples o educe he unce ain y. In his app oach measu emen unce ain y is quan i ied h ough co a iance ma ices, which equi es de ining he eliabili y o measu emen s and he esul s depend on he assumed s anda d de ia ions. This code was p e iously used in se e al s udies (Vàzquez-Suñé e al., 2010; Jiménez-Ma ínez e al., 2011; Mo ales-Casique, 2012; Cáno as e al., 2012a, 2012b; Gal án e al., 2012; Ju ado e al., 2012, 2013). Chap e 4: Using EMMA and MIX analysis o asses mixing a ios and o iden i y hyd ochemical eac ions in g oundwa e . 39 4.2.4. Si e desc ip ion The Besòs Ri e , loca ed nea Ba celona in he no heas o Spain, lows sou h-eas e ly and has a ca chmen a ea o 1038 km 2 . The s udy a ea co esponds o he lowe pa o he ca chmen . I is loca ed in no h-eas e n Ba celona, in he Besòs Ri e Del a, a he own o San Ad ià del Besòs, and i is close o he unde g ound pa king a ea a he Plaça de la Vila si e (Fig. 4.2). Figu e 4-2 Loca ion o he s udy a ea and hyd ogeological concep ual model. The clima e is ypically Medi e anean, wi h ex eme empe a u es in Janua y and Augus and a yea ly a e age empe a u e o 15 °C. Rain all a e ages app oxima ely 600 mm/yea . A e age s eam low is 4 m 3 /s a he San a Coloma gauging s a ion (Fig. 4.2) belonging o he Ca alan Wa e Agency (ACA). The gauging s a ion is loca ed app oxima ely 2.5 km ups eam om he Plaça de la Vila si e and 4.5 km om he sea. Ri e low is measu ed daily, whils i e wa e quali y samples a e analysed mon hly by he Ca alan Wa e Agency (ACA). The Besòs Ri e is a good example o a Medi e anean lu ial sys em, wi h low base low (modal low is 2 m 3 /s), ma ked ebb lood, s ong loods (mo e han 100 m 3 /s) and e y i egula low pa e ns, which a e mainly con olled by he ain all e en s (Fig. 4.3). These e en s a y d ama ically om yea o yea and wi hin he yea . Ri e wa e quali y depends on many ac o s. In he inal pa o he ca chmen (s udy a ea), i e wa e could be conside ed o be a mix o wa e om di e en sou ces such as ain all, aw sewe Chap e 4: Using EMMA and MIX analysis o asses mixing a ios and o iden i y hyd ochemi eac ions in g oundwa e . wa e , ea ed sewe wa e , wa e s om se e al pa s o he ca chmen , e c.; u he mo e, a ia ion in ime is e y signi ican . Figu e 4-3 On he op, chlo ide concen a ions and Besòs Ri e low om 2005 o 2010. A he bo om, e olu ion o g oundwa e e sus i e le el. No e ha he iangles ep esen he 4 g oundwa e sampling campaigns. The geology o he s udy a ea was ca ied ou by sedimen ological s udy o upda e he geological om ci il wo k p ojec s in he dimensional geological s uc u e and o ede ine a la e al connec ions bo h be ween uni s and he sea ( The aqui e s a e o med wi hin Qua e na y sedimen s ha es disco dan ly ma e ials ha ange om Paleozoic o Pliocene. In lu ial aqui e s, consis ing o accumula ions begins a he end o he Lowe Valley and consis s o ou del aic sedimen a y cycles. The younges cycle displays wedge geome y sands and g a els. These geological bodies consis o Shallow Aqui e , which is an uncon ined Chap e 4: Using EMMA and MIX analysis o asses mixing a ios and o iden i y hyd ochemi sewe wa e , wa e s om se e al pa s o he ca chmen , e c.; u he mo e, a ia ion in ime is e y signi ican . op, chlo ide concen a ions and Besòs Ri e low om 2005 o 2010. A he bo om, e olu ion o g oundwa e e sus i e le el. No e ha he iangles ep esen he 4 g oundwa e sampling campaigns. The geology o he s udy a ea was ca ied ou by MOP (1966). We pe o med a ho ough sedimen ological s udy o upda e he geological model wi h new in o ma ion ob ained om ci il wo k p ojec s in he del a a ea. This allowed us o de ine in de ail he h ee s uc u e and o ede ine a qui e uni s, hei geome ies, and he la e al connec ions bo h be ween uni s and he sea ( Velasco e al., 2012 ). The aqui e s a e o med wi hin Qua e na y sedimen s ha es disco dan ly ma e ials ha ange om Paleozoic o Pliocene. In he lowe alley, he e a e ypical lu ial aqui e s, consis ing o accumula ions o allu ial sand and g a els. The del a i sel he Lowe Valley and consis s o ou del aic sedimen a y cycles. The younges cycle displays wedge geome y wi h sil s and clays sepa a ing sands and g a els. These geological bodies consis o h ee hyd ogeological uni s: 1) which is an uncon ined aqui e o med by sands; 2)Main Aqui e , Chap e 4: Using EMMA and MIX analysis o asses mixing a ios and o iden i y hyd ochemi cal 40 sewe wa e , wa e s om se e al pa s o he ca chmen , e c.; u he mo e, op, chlo ide concen a ions and Besòs Ri e low om 2005 o 2010. A he bo om, e olu ion o g oundwa e e sus i e le el. No e ha he iangles ep esen he 4 pe o med a ho ough model wi h new in o ma ion ob ained del a a ea. This allowed us o de ine in de ail he h ee qui e uni s, hei geome ies, and he ). The aqui e s a e o med wi hin Qua e na y sedimen s ha es disco dan ly on op o lowe alley, he e a e ypical o allu ial sand and g a els. The del a i sel he Lowe Valley and consis s o ou del aic sedimen a y cycles. The wi h sil s and clays sepa a ing wo packages o h ee hyd ogeological uni s: 1) aqui e o med by sands; 2)Main Aqui e , which Chap e 4: Using EMMA and MIX analysis o asses mixing a ios and o iden i y hyd ochemical eac ions in g oundwa e . 41 is made up o he deep aqui e a he Del a; and 3) Sil wedge (aqui a d), which sepa a es he shallow and deep aqui e s. The Besòs aqui e s ha e su e ed hea y wa e ex ac ion since he end he 19 h Cen u y. Ex ac ion p oduced la ge d awdowns, leading o seawa e in usion. Since he 1970s, u ban p essu es ha e caused many indus ies o mig a e away om he ci y. This has esul ed in a educ ion o pumping and a p og essi e eco e y o heads (Vàzquez-Suñé e al., 2005). The i e is hyd aulically connec ed o he Shallow Aqui e a he Del a. The Besòs Ri e 's i egula low pa e n is e lec ed in he well hyd og aphs and he aqui e s espond o i e loods (Fig. 4.3). Se e al echa ge sou ces ha e been iden i ied in he aqui e s o he Besòs Ri e Del a by Vàzquez-Suñé e al. (2010), including: (1) he Besòs Ri e (RIV), (2) ain all (REC), (3) he Te Ri e wa e supply (TER), (4) he Te Ri e sewage wa e (SW_T), and (5) ci y uno (RUNOFF). Among hese echa ge sou ces, wa e om he pollu ed Besòs Ri e may be conside ed he mos impo an echa ge sou ce in he s udy a ea. G oundwa e gene ally lows om he Besòs Ri e o he unde g ound pa king a ea a he Plaça de la Vila si e because he e is a con inuous pumping o app oxima ely 150–200 L/s o a oid seepage p oblems. Fou d ainage pumping wells and 16 piezome e s we e implemen ed o con ol he seepage p oblems in he pa king a ea and o assess g oundwa e head a ia ions in he su oundings a eas (Fig. 4.2). Fu he mo e, his g oundwa e con ol ne wo k is pe iodically sampled o g oundwa e quali y assessmen . We assessed ha almos all he g oundwa e ex ac ed be ween he i e and he pa king d ainage pumping is echa ged om he i e (Ondi iela e al., 2005). 4.2.5. Sampling and analysis Wa e samples we e collec ed om July 2007 o May 2010 in ou di e en ield campaigns in July 2007, Feb ua y 2008, Oc obe 2008 and May 2010. Fou samples om he Besòs Ri e , conside ed he main echa ge sou ce o he aqui e , and 51 samples om he g oundwa e we e collec ed. All he g oundwa e samples we e ob ained by pumping un il a olume ha was a leas h ee imes ha o he piezome e had been ex ac ed. Field pa ame e s we e measu ed in si u including elec ical conduc i i y (EC), pH, empe a u e, Eh and dissol ed oxygen. They we e measu ed con inuously using a low cell o a oid con ac wi h he ai . The ins umen s we e calib a ed daily by means o s anda d solu ions. Samples we e collec ed a e s abilisa ion o ield pa ame e s and we e no il e ed in he ield. They we e s o ed in a ield e ige a o and aken o he labo a o y a he end o he sampling day. Each wa e sample unde wen chemical Chap e 4: Using EMMA and MIX analysis o asses mixing a ios and o iden i y hyd ochemical eac ions in g oundwa e . 42 analysis in acco dance wi h he Spanish guidelines o d inking wa e (Royal Dec ee 140/2003). These guidelines include 53 pa ame e s ( ou adioac i i y pa ame e s we e no analysed). All he samples we e analysed a he ATLL (Aigües Te Llob ega ) labo a o y in Ba celona. Chlo ide, sulpha e and ni a e we e analysed using ion ch oma og aphy (IC). Calcium, magnesium, i on and a senic we e analysed by ICP-MS and p io o he analysis, he solu ion was acidi ied wi h 1% ( / ) HNO3 and cen i uged o 3500 pm. Ammonium was analysed by spec opho ome y (based on indophenol blue me hod) and using a comme cial eac i e ki . Bica bona e was analysed manually by chemical e alua ion wi h sulphu ic acid, accoun ing o he pH o he sample. To al o ganic ca bon (TOC) was analysed using he 680 °C combus ion-in a ed me hod wi h a pla inum ca alys and using a Non-Dispe si e In a-Red (NDIR) de ec o . The amoun o o ganic ca bon can be de e mined by he non-pu geable o ganic ca bon (NPOC). I is based on he emo al o ino ganic ca bon om he sample by pu ging he acidi ied sample o a pH less han 2.0 wi h an ine gas. To al o ganic ca bon (TOC) may be de e mined by means o TC measu ing me hod. Mo eo e , mos o he abo e men ioned hyd ochemical pa ame e s o he Besòs Ri e wa e ha e been measu ed mon hly by he Ca alan Wa e Agency (ACA, 2012) a he San a Coloma gauging s a ion (Fig. 4.3). 4.3. Resul s and discussion 4.3.1. Besòs Ri e 4.3.1.1. E alua ion o he numbe o end-membe s and ep esen a i e chemical species Quali a i e analysis Ri e wa e quali y depends on many ac o s. In he inal pa o he ca chmen (s udy a ea), i e wa e could be conside ed o be a mix o wa e om di e en sou ces, such as ain all, aw sewe wa e , ea ed sewe wa e , wa e s om se e al pa s o he ca chmen , e c.; u he mo e, a ia ion o e ime is e y signi ican . As men ioned be o e, up o i e di e en echa ge sou ces ha e been iden i ied in Besòs Ri e Del a aqui e s (RIV, REC, TER, SW_T and RUNOFF). Howe e , p e ious s udies ha e demons a ed ha Besòs Ri e is by a he la ges con ibu o o g oundwa e echa ge, ep esen ing he 90% (Ju ado e al., 2013). The e o e, RIV has been he only echa ge sou ce ha we ha e ake in o accoun . A mo e de ailed discussion o he minimum numbe o end- membe s can be ound in he ollowing s eps. Chap e 4: Using EMMA and MIX analysis o asses mixing a ios and o iden i y hyd ochemical eac ions in g oundwa e . 43 Mul i a ia e analysis (EMMA) o selec he end-membe s and species As men ioned be o e, he Besòs Ri e hyd ochemis y da a ha e been ob ained om he su ace wa e quali y moni o ing ne wo k o he Ca alan Wa e Agency (ACA). The selec ed sampling pe iod was om Janua y 2005 o May 2009 and he samples ha e been collec ed on a mon hly basis. The o al numbe o species was 53, bu no all o he species we e analysed e e y ime. Addi ionally, we collec ed ou samples om he Besòs Ri e du ing he ou ield g oundwa e campaigns in July 2007, Feb ua y and Oc obe o 2008, and May 2010 (C1 o C4). In o al, 56 samples om he Besòs Ri e ha e been used o pe o m he EMMA. The species selec ed in he EMMA we e hose wi h mo e da a a ailable in he ACA da abase and we e mainly majo species. The 11 selec ed species we e chlo ide (Cl), sulpha e (SO4), sodium (Na), bica bona e (HCO3), calcium (Ca), magnesium (Mg), po assium (K), ni a e (NO3), ammonium (NH4), o al ni ogen (N o ) and elec ical conduc i i y (EC). Ri e sample eigen ec o e alua ion was pe o med wi h he EMMA accoun ing o he a o emen ioned 11 species. Because we ha e selec ed 11 species in his analysis, an eigen ec o mus explain mo e han 9.1% (1/11) o he da a a iance using he ule o one. Acco ding o ha ule, 3 eigen ec o s should be e ained and hey explained he 90% o he o al a iance. Fi e di e en analyses we e pe o med (Fig. 4.4). Figu e 4-4 Eigen ec o s 1, 2 and 3 esul ing om p ocessing he Besòs Ri e da a wi h EMMA. The analysis “A” includes he species chlo ide, sulpha e, bica bona e, calcium, sodium, magnesium, po assium, ni a e, ammonium, o al ni ogen and elec ical conduc i i y. The analysis “B” is equal o “A” bu wi hou ni a e; “C” is equal o “A” bu wi hou ni a e and magnesium; “D” is equal o “A” bu wi hou ni a e and po assium and “E” is equal o ”A” bu wi hou ni a e, magnesium and po assium. Chap e 4: Using EMMA and MIX analysis o asses mixing a ios and o iden i y hyd ochemical eac ions in g oundwa e . 44 Analysis A The i s eigen ec o explained 68% o he a iance (Fig. 4.4, EG1 om analysis A). All he species excep ni a e con ibu e signi ican ly o ha . The species ha con ibu ed mos ( ela i e weigh s anging om 0.39 o 0.26) we e, in descending o de : EC, SO4, Na, Cl, HCO3, Ca, K, Mg, NH4, and N o . In con as NO3, con ibu ed less and wi h he opposi e sign (−0.05). This i s eigen ec o was associa ed wi h wo ypes o wa e om he Ri e Besòs: (1) dilu ed wa e ha co esponds o we pe iods o wa e supply inpu s and (2) concen a ed wa e s ela ed o d y pe iods. Ni a e concen a ion canno be explained wi h hese wo end-membe s. The second eigen ec o addi ionally explained 13% o he o al a iance, which added o he o al explained a iance o 81%. The la ges con ibu ion was p o ided by NO3 (0.59), ollowed by Mg (0.49), NH4 (−0.38), Ca (0.36), K (−0.25) and N o (−0.23). I is impo an o men ion ha he species ha con ibu ed less o he second eigen ec o (weigh s less han abs (0.1)) we e he ones ha con ibu ed mos o he i s eigen ec o . The hi d eigen ec o accoun ed o 10 % o he a iance and was ela ed o he concen a ions o ni ogen species (weigh s we e N o (0.62), NO3 (0.55), and NH4 (0.46)). The emaining species con ibu ed wi h weigh s lowe han 0.17. Analysis B When NO3 was no included in he EMMA (Fig. 4.4, analysis B), a o al a iance o 87 % was ob ained wi h wo eigen ec o s. The i s eigen ec o co esponded o mo e o less dilu ed wa e and ep esen ed an inc ease om 68 % o 74 % o he o al a iance. The second eigen ec o addi ionally explained 13 % o he o al a iance and was ela ed o ni ogen species (weigh s o 0.56 o NH4 and 0.53 o N o ). Mg and Ca species also con ibu ed signi ican ly bu wi h he opposi e sign (−0.48 and −0.35, espec i ely). As in he p e ious analysis, he emaining species con ibu ed wi h weigh s lowe han 0.17 The hi d eigen ec o explained a a iance lowe han 10 % (100 % /10). The species ha con ibu ed mos o his eigen ec o we e Mg (0.48) and K (−0.45) bu wi h he opposi e sign. Analyses C, D and E When NO3 and Mg (Fig. 4.4, analysis C), NO3 and K (Fig. 4.4, analysis D) NO3, Mg and K (Fig. 4.4, analysis E) we e no included in he EMMA; he esul s we e simila o he p e ious analysis B. The i s wo eigen ec o s explained mo e han 85 % o he a iance o he da a in he h ee analyses. The i s eigen ec o dis inguished be ween i e wa e ob ained du ing we and d y pe iods, whils he second eigen ec o was ela ed o he ni ogen concen a ions (mainly ammonium concen a ion). Consequen ly, based on he Chap e 4: Using EMMA and MIX analysis o asses mixing a ios and o iden i y hyd ochemical eac ions in g oundwa e . 45 esul s ob ained, we decided o no explain he ni a e concen a ions. The concep ual model o explain he 87 % o i e composi ion co esponds o h ee end-membe s (n + 1 eigen ec o ): EM1 was an ex eme low concen a ion associa ed o ain all pe iods, EM2 and EM3 we e mo e concen a ed ends, dis inguished mainly by high ammonium and low calcium and magnesium. The selec ion o he end membe s was pe o med by plo ing he eigen ec o s (Fig. 4.5). Figu e 4-5 P ojec ion o he eigen ec o s 1 and 2 o he analysis “B”. No e ha he esul ing end-membe s in mixing calcula ions (MIX_1 and MIX_2, Table 4.1) e alua ed wi h EMMA a e also p ojec ed. The di e ence be ween he analysis and MIX_1 and MIX_2 is he a iances assigned o he end- membe s. In he analysis MIX_1 he a iances assigned o each species o he end- membe s a e mul iplied by a ac o o 100, whe eas in analysis MIX_2 hey a e mul iplied by ac o s o 10, 500 and 100, espec i ely, o he End-Membe sW1, D1 and D2. Figu e 4-6 P ojec ion o he eigen ec o s 1, 2 and 3 o he analysis “A” o “E” (Fig. 4.4) esul ing om p ocessing he Besòs Ri e da a wi h EMMA. Chap e 4: Using EMMA and MIX analysis o asses mixing a ios and o iden i y hyd ochemical eac ions in g oundwa e . 52 aqui e is mainly echa ged by he i e . Consequen ly, he h ee end-membe s e ained in he EMMA o he i e wa e ha e been used (W1, D1 and D2). I was necessa y o assess whe he g oundwa e concen a ions can be explained by mixing p ocesses o hese end membe s and o quan i y hei p opo ions. The compu ed composi ion o he i e echa ged wa e o he 20 species is shown in Table 4.2 (Analysis “MIX_GW2”). G oundwa e mixing a io e alua ion has been pe o med; he e o e, i was in ended ha he concen a ions o he obse a ion poin s o g oundwa e would no change he p e ious adjus men de e mined in he i e . The e o e, he s anda d de ia ions assigned o he obse a ion poin s (Table 4.2) we e highe han hose assigned o he end- membe s. Mo eo e , he s anda d de ia ions a he g oundwa e obse a ion poin s we e selec ed depending on whe he species we e mo e o less conse a i e. Table 4-2 Resul s e alua ed using MIX o g oundwa e da a (MIX_1GW1 andMIX_2GW2). No e ha he i e end-membe s we e hose e alua ed in he analysisMIX_2, and he a iances assigned o he i e end-membe s a e lowe han hose assigned o he obse a ion poin s because we assumed ha he aqui e is mainly echa ged by he Besòs Ri e . “Ri: A e age concen a ion in Besòs Ri e obse a ion poin s” and “Gi: A e age concen a ion a G oundwa e obse a ion poin s”. 4.3.2.2. Compu e g oundwa e mixing a ios Among he h ee end-membe s conside ed, D2 was by a he la ges con ibu o o he o al echa ge, ep esen ing he 65 %, ollowed by he we i e end-membe (W1, 26 %). The emaining 9 % co esponded o D1. The con ibu ion o W1 was mo e signi ican Analysis MIX_2GW2 EM1:W1 EM2:D1 EM3:D2 Obs. poin s (exp esed (Ri)) Obs. poin s (exp esed (Gi)) EM: W1,D1 & D2 EM1:W1 EM2:D1 EM3:D2 Chlo ide (mg/L) 43.7 356.2 315.8 0.05·Ri 0.05·Gi 0.04·Ri 36.4 358.3 312.0 Elec ical Conduc i i y (µS/cm) 585.6 1996.5 1891.5 0.07·Ri 0.07·Gi 0.03·Ri 586.4 1991.0 1867.8 Sodium (mg/L) 29.0 280.9 246.6 0.07·Ri 0.07·Gi 0.05·Ri 27.2 286.3 251.6 Sulpha e (mg/L) 52.8 205.9 198.6 0.12·Ri 0.11·Gi 0.04·Ri 55.5 201.8 198.1 Bica bona e (mg/L) 222.7 500.5 470.3 0.11·Ri 0.10·Gi 0.07·Ri 247.8 496.6 481.0 Calcium (mg/L) 62.2 133.9 151.3 0.19·Ri 0.16·Gi 0.06·Ri 65.9 134.0 158.4 Magnesium (mg/L) 13.2 24.2 30.1 0.37·Ri 0.28·Gi 0.10·Ri 14.5 24.5 33.0 Po asium (mg/L) 7.2 51.1 36.4 0.50·Ri 0.79·Gi 0.17·Ri 4.6 49.2 26.6 To al ni ogen (mg/L) 6.2 26.1 5.7 0.43·Ri 1·Gi 0.12·Ri 5.7 25.9 4.3 Ni a e (mg/L) 13.4 7.4 13.2 5.54·Ri 15·Gi 0.47·Ri 12.7 7.1 11.5 Ammonium (mg/L) 4.1 31.5 3.6 0.40·Ri 0.90·Gi 0.12·Ri 4.2 31.6 4.0 Phospho us (mg/L) 0.000 2.305 2.012 7328·Ri 27756·Gi 0.48·Ri 0.000 2.305 2.012 Phospha e (mg/L) 1.904 3.818 3.177 29758·Ri 125434·Gi 0.70·Ri 1.904 3.818 3.177 Fluo ide (mg/L) 0.187 1.244 0.374 14193·Ri 11342·Gi 0.57·Ri 0.187 1.244 0.374 To al o ganic ca bon (mg/L) 6.323 12.427 8.663 3283·Ri 8652·Gi 0.21·Ri 6.323 12.427 8.663 A senic (mg/L) 0.003 0.006 0.008 4085·Ri 1970·Gi 0.31·Ri 0.003 0.006 0.008 B omide (mg/L) 0.059 0.57 0.854 5729·Ri 4304·Gi 0.43·Ri 0.059 0.570 0.854 Bo on (mg/L) 0.034 0.218 0.292 5466·Ri 4631·Gi 0.38·Ri 0.034 0.218 0.292 Dissol ed oxygen (mg/L) 8.736 8.267 10.601 3998·Ri 59779·Gi 0.26·Ri 8.736 8.267 10.601 I on (mg/L) 0.036 0.209 0.232 5788·Ri 3751·Gi 0.35·Ri 0.036 0.209 0.232 Inicial Concen a ions Applied s anda de ia ion End membe esul s Chap e 4: Using EMMA and MIX analysis o asses mixing a ios and o iden i y hyd ochemical eac ions in g oundwa e . 53 du ing he las ield campaign (C4) because o he equen ain e en s (Fig. 4.3), being he 41 % o he o al echa ge. Accoun ing o he o he 3 campaigns, W1 ep esen ed, on a e age, only he 20 % o he o al echa ge. On a e age, he d y i e end-membe s (D1 and D2) con ibu ed mo e signi ican ly o he o al echa ge han he we end-membe (W1), ep esen ing he pe cen ages o 74 % and 26 %, espec i ely. These esul s a e consis en wi h he ain all e en s ha occu ed in he Besòs Ri e Del a, which con olled he Besòs Ri e low dynamics. The we end-membe is ela ed o sho bu in ense ain all e en s whils he d y end-membe s a e ela ed o he null o low le els o ain all ha occu he es o he yea . This is especially d ama ic in summe whe e Ri e Besòs low 4.3.3. Iden i ica ion o hyd o chemical p ocesses in g oundwa e The p esen ed me hodology could be use ul o iden i y some hyd ogeochemical p ocesses. When compa ing he a e age concen a ions a he Besòs Ri e wi h he a e age concen a ion in he aqui e o se e al species as majo and mino componen s, me als, polycyclic a oma ic hyd oca bons (PAHs), pes icides and su ac an s, i can obse ed ha he concen a ion o a numbe o he species is highe in he i e han in he aqui e (Fig. 4.1). As an example, oxida ion and educ ion p ocesses migh be deduced om Fig. 4.1, whe e ammonium, ni a e and dissol ed oxygen ha e lowe concen a ions in he aqui e . As shown in Fig. 4.7, some species did no beha e conse a i ely because hey di e ged away om he ideal mixing line. These de ia ions could be a ibu ed o hyd ogeochemical p ocesses ha ake place in he i e aqui e sys em. On he one hand, es ima ed concen a ions o ace s such as magnesium and, o a lesse ex en , calcium ha e gene ally mainly comes om was ewa e ea men plan e luen s, which is ep esen ed by he i e end-membe D1. been lowe han measu ed ones (Fig. 4.7). This ac migh be indica i e ha some dissolu ion p ocesses o ca bona es can occu in he aqui e apa om simple mixing o i e wa e . I is also es ima ed ha g oundwa e has an excess o b omide, luo ide, a senic, i on, and bo on o a lesse ex en han he heo e ical mix o he i e . On he o he hand, po assium, dissol ed oxygen, TOC, phospha es, phospho ous and ni a e p esen ed highe es ima ed concen a ions han measu ed ones. Consequen ly, hyd ogeochemical p ocesses migh be deple ing he a o emen ioned species om he aqui e . Dissol ed oxygen, ni a e and TOC may unde go edox p ocesses whils po assium may be exchanged wi h o he ca ions such as calcium o magnesium. 4.4. Conclusions We ha e p esen ed a me hodology o assessing mixing a ios and iden i ying hyd ochemical eac ions in g oundwa e . In his app oach, we use EMMA and MIX Chap e 4: Using EMMA and MIX analysis o asses mixing a ios and o iden i y hyd ochemical eac ions in g oundwa e . 54 analysis join ly. The me hodology is applied o he assessmen o i e echa ge wa e s in he Besòs Del a aqui e s in Ba celona, Spain. The applica ion o his me hodology in he case o s udy has allowed us o: iden i y he minimum numbe o he i e end-membe s equi ed o explain he a iabili y o measu ed concen a ions. Th ee end-membe s we e inally selec ed: 2 co esponding o d y season (D1 and D2) and one om he we season (W1). The iden i ica ion o end-membe s was used no only o e alua e he i e echa ge in o he aqui e bu also o compu e he expec ed concen a ion o some species, such as phospha es, luo ide, bo on, TOC and b omide. Ri e wa e mixing was he mos ep esen a i e echa ge sou ce in o he aqui e . O e all, d y season end-membe s domina ed o e we season end-membe , in a p opo ion 4:1. Some species did no p ope ly i he mixing line. This sugges s he iden i ica ion o some geochemical p ocesses ha may occu in he i e -aqui e sys em such as edox p ocesses, dissolu ion p ocesses and ion exchange p ocesses. Chap e 5: Conclusions 55 5. Conclusions This chap e includes a summa y o he main con ibu ions o his hesis. The majo indings espond o he o e all aim o gaining a be e unde s anding o he na u e o g oundwa e in u ban a eas. This includes assessing he olume and quali y o aqui e echa ge as well as di e en ia ing wi hin he g oundwa e composi ion be ween concen a ions o compounds om sou ces o echa ge, and concen a ions a ia ions due o hyd ochemical p ocesses. Fi s , a me hodology has been p esen ed o help es ima e he a eal echa ge in u ban aqui e s. I is based on calib a ing a la ge scale model using app op ia ely pa ame e ized a eal echa ge unc ions. These unc ions a e conside ed pe cen ages o wa e suscep ible o echa ging he aqui e s. Wa e s a e classi ied acco ding o hei chemical p ope ies, po en ial ways o en e he g ound, and o igin. This app oach allows g oundwa e managemen o be included in he managemen o o he wa e cycle unc ions in he ci y. A ansien g oundwa e low and solu e anspo model o he Ba celona u ban aqui e s was buil as a ool o help in de ining he managemen p og am. This applica ion has shown he impo ance o echa ge e olu ion on he aqui e s mass balance. Rega ding possible in oduc ion o subs ances o pollu an s om po en ial sou ces o echa ge, a campaign o collec g oundwa e samples h oughou he s udy a ea has been conduc ed. Among o he compounds, subs ances used in he o mula ion o indus ial p oduc s and common domes ic p oduc s we e analyzed. Fo one, ionic su ac an s linea alkylbenzene sul ona e (LAS) ha e been analyzed. LAS and hei deg ada ion p oduc s (sul ophenyl ca boxyla es, SPC) a e no ega ded as p io i y subs ances al hough hey a e oday he mos common domes ic su ac an in he a ea. LAS concen a ions we e de ec ed mo e han one o de o magni ude lowe han expec ed based on echa ge sou ces and in compa ison wi h o he subs ances such as ni a e, ammonium pe chlo e hene o ichlo e hene, in all (oxidizing and educing) aqui e s, which sugges s deg ada ion o hese subs ances unde di e en edox condi ions.. Secondly, nonionic su ac an ex ensi ely used by indus y (and in he pas also in household p oduc s) has been analyzed. Speci ically, alkylphenol polye hoxyla es (APEOs) and hei deg ada ion p oduc s (DPs) nonylphenol polye hoxyla es (NP2EC, NP1EC), oc ylphenol polye hoxyla es (OP2EC, OP1EC), nonylphenol (NP) and oc ylphenol (OP). The oxici y o APEOs is inc eased wi h dec easing e hoxyla e chain leng h. NP and OP ( hei sho es chain) a e conside ed haza dous subs ances. Chap e 5: Conclusions 56 The highes g oundwa e concen a ions o APEOs and DPs we e de ec ed in aqui e s whose majo sou ce o echa ge is a i e ecei ing la ge amoun s o e luen s om seconda y was e wa e ea men plan s (WWTPs). In ac , APEOs DPs concen a ions we e abo e hose in he i e . NP2EC was he compound de ec ed a highes concen a ions. These inc ease wi h ammonium in samples wi h low dissol ed oxygen. These deg ada ion p oduc s we e i ually absen in oxidizing aqui e s whose main sou ce o echa ge is no he i e . In his case, only he ul ima e deg ada ion p oduc (NP) was de ec ed, which sugges s ha pa en compounds ha e deg aded. A me hodology o compu e mixing a ios and o iden i y hyd ochemical eac ions in g oundwa e has also been p esen ed. I is based on using an end-membe mixing analysis (EMMA) and MIX. This app oach has been applied in a Besòs Ri e Del a pilo a ea. Pe o med in he Besòs Ri e he esul s showed ha 3 end-membe s a e equi ed o explain i s empo al a iabili y, accoun ing o he selec ed species. Unde he assump ion ha g oundwa e is a mix o i e wa e , he esul s indica e ha edox p ocesses, ca bona e dissolu ion/p ecipi a ion and ion exchange p ocesses may occu in Besòs Del a aqui e . Also ela i e excesses and de aul s o ce ain compounds ha e been quan i ied in g oundwa e (e.g. b omide, luo ide, bo on, a senic, and TOC, phospho ous, phospha e, espec i ely). Chap e 5: Conclusions 57 O he scien i ic pape s published by in e na ional jou nals ela ed o his hesis a e: • Vàzquez-Suñé E., Ca e a J., Tubau I., Sánchez-Vila X., Sole A., 2010. An app oach o iden i y u ban g oundwa e echa ge. Hyd ology and Ea h Sys em Sciences 14 (2010) 2085-2097. h p://dx.doi.o g/10.5194/hess-14-2085-2010 • Velasco V., Cabello P., Vàzquez-Suñé E., López-Blanco M., Ramos E., Tubau I., 2012. A s a ig aphic sequence based geological model o cons aining hyd ogeological modeling in he u banized a ea o he Qua e na y Besòs Del a (NW Medi e anean Coas , Spain). Geol Ac a 2012;10(4):373–93. h p://dx.doi.o g/10.1344/105.000001757 • Ju ado A., Vàzquez-Suñé E., Sole A., Tubau I., Ca e a J., Pujades E., Anson I., 2013. Applica ion o mul i-iso ope da a (O, D, C and S) o quan i y edox p ocesses in u ban g oundwa e . Applied Geochemis y (2013) 114-125. h p://dx.doi.o g/10.1016/j.apgeochem.2013.02.018 • Velasco V., Tubau, I., Vàzquez-Suñé E., Gogu R. Gai ana u D.. Alca az M., Se ano-Juan A., Fe nández-Ga cía D., Ga ido, T., F aile, J., Sánchez-Vila, X., 2014. GIS-based hyd ogeochemical analysis ools(QUIMET). Compu e & Geosciencies 70 (2014) 164-180. • Ju ado, A., Vázquez-Suñé, E., Ca e a, J., Tubau, I, and Pujades, E. 2015. Quan i ying chemical eac ions by using mixing analysis. Science o he To al En i onmen 502 (2015) 448–456. h p://dx.doi.o g/10.1016/j.sci o en .2014.09.036 The abs ac s o hese pape s a e a ached a he end o his documen , as well as pape s in he chap e s on which his hesis is based: • Tubau I., Vázquez-Suñé E., Ca e a J., González S., Pe o ic M., López de Alda M.J., Ba celó D., 2010. Occu ence and a e o alkylphenol polye hoxyla e deg ada ion p oduc s and linea alkylbenzene sul ona e su ac an s in u ban g ound wa e : Ba celona case s udy. Jou nal o Hyd ology 383 (2010) 102-110. • Tubau I., Vázquez-Suñé E., Ju ado A., Ca e a J., 2014. Using EMMA and MIX analysis o asses mixing a ios and o iden i y hyd ochemical eac ions in g oundwa e . Science o The To al En i onmen 470-471 (2014) 1120-1131. • Tubau I, Vázquez-Suñé E, Ca e a J, Valhondo, C. Quan i ica ion o G oundwa e Recha ge in U ban En i onmen s. Science o he To al En i onmen (submi ed). 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Biodeg ada ion o linea alcohol e hoxyla es in na u al wa e s. En i onmen al Science and Technology 15 (12), 1488–1493. Occu ence and a e o alkylphenol polye hoxyla e deg ada ion p oduc s and linea alkylbenzene sul ona e su ac an s in u ban g ound wa e : Ba celona case s udy Isabel Tubau a,* , En ic Vázquez-Suñé b , Jesús Ca e a b , Susana González b,c , Mi a Pe o ic b,d , Ma ía J. López de Alda b , Damià Ba celó b,e a Depa men o Geo echnical Enginee ing and Geosciences, Uni e si a Poli ècnica de Ca alunya (UPC), C/ Jo di Gi ona 1-3, Edi ici D-2, 08034-Ba celona, Spain b Ins i u e o En i onmen al Assessmen and Wa e Resea ch (IDÆA), C/ Jo di Gi ona 18-26, 08034-Ba celona, Spain c Cen o Tecnológico del Agua (CETaqua), Passeig dels Tille s 3, 08034-Ba celona, Spain d Ins i ució Ca alana de Rece ca i Es udis A ança s (ICREA), Passeig Lluis Companys 23, 08010-Ba celona, Spain e Ca alan Ins i u e o Wa e Resea ch (ICRA), C/ Emili G ahi 101, Edi ici H2O, Pa c Cien í ic i Tecnològic de la Uni e si a de Gi ona, 17003-Gi ona, Spain a i c l e i n o Keywo ds: U ban g ound wa e Alkylphenol polye hoxyla es (APEOs) deg ada ion p oduc s (DPs) Linea alkylbenzene sul ona es (LAS) Ci y o Ba celona s u m m a y This s udy in es iga es he a e o alkylphenol polye hoxyla es (APEOs) deg ada ion p oduc s (DPs) and he occu ence o linea alkylbenzene sul ona e (LAS) su ac an s in u ban g ound wa e a ield scale. The occu ence o APEOs DPs in g ound wa e was s udied in connec ion wi h: (1) sou ces o echa ge o /and pollu ion con aining hese subs ances, (2) g ound wa e edox condi ions, (3) occu ence o LAS, which a e cu en ly he domes ic su ac an s mo e used in he s udy a ea and (4) o he common con aminan s in u ban g ound wa e in he ci y o Ba celona. The APEOs DPs analyzed included wo nonylphenol ca - boxyla es (NP2EC, NP1EC), wo oc ylphenol ca boxyla es (OP2EC, OP1EC), nonylphenol (NP) and oc yl- phenol (OP). The highes g oundwa e concen a ions o APEOs DPs we e de ec ed in aqui e s whose majo sou ce o echa ge is a i e ecei ing la ge amoun s o e luen s om seconda y was e wa e ea - men plan s (WWTPs). In ac , APEOs DPs concen a ions we e abo e hose in he i e . NP2EC was he compound de ec ed a highes concen a ions. These inc ease wi h ammonium in samples wi h low dis- sol ed oxygen. These deg ada ion p oduc s we e i ually absen in oxidizing aqui e s whose main sou ce o echa ge is no he i e . In his case, only he ul ima e deg ada ion p oduc (NP) was de ec ed, which sugges s ha pa en compounds ha e deg aded. These esul s indica e ha APEOs a e pe sis en o less deg aded in educing condi ions, whe eas hey a e deg aded when oxidizing condi ions p e ail. By con as , LAS concen a ions we e mo e han one o de o magni ude lowe han expec ed based on echa ge sou ces in all (oxidizing and educing) aqui e s. Ó2009 Else ie B.V. All igh s ese ed. In oduc ion High popula ion g ow h inc eases he demand o wa e and he gene a ion o was ewa e . G ound wa e is an impo an e- sou ce o wa e supply in he wo ld and aqui e s in u ban zones a e ulne able o con amina ion by a a ie y o con aminan s due o u ban ac i i ies. App oxima ely 90% o he wa e o supply comes om impo ed su ace wa e in he ci y o Ba celona, which is he s udy a ea. Since supply sou ces a e subjec o pe iodic d ough s, he Ca alan Wa e Agency (ACA) is seeking al e na i e wa e esou ces. The e a e a numbe o aqui e s wi h a ying li hologies and ages below he ci y (Váquez-Suñé e al., 2005). The e o e, g ound wa e mus be conside ed as an op ion. The ques ion is whe he u ban g ound wa e can be used sa ely. U ban aqui e s may su e pollu ion om di e en sou ces, including losses om wa e supply ne wo ks, leakage om sewe s, seepage om i e s o o he su ace wa e bodies, sea- wa e in usion, e c. As a esul , a la ge numbe and a ie y o con aminan s may be ound in u ban aqui e s (Howa d e al., 1996; Ba e e al., 1999; Le ne , 2002; Mo is e al., 2005; Váquez-Suñé e al., 2000; Wakida and Le ne , 2005; Naik e al., 2008). Some o hese con aminan s a e subjec o en i- onmen al quali y s anda ds (EQS) in d inking wa e (Council o he Eu opean Union, 1998), g oundwa e (Eu opean Pa lia- men and Council o he Eu opean Union, 2006), and/o su ace wa e (Eu opean Pa liamen and Council o he Eu opean Un- ion, 2008). O he was ewa e subs ances, also known as eme g- ing con aminan s, whose oxici y, occu ence and pe sis ence a e less well known, a e subjec o e iew o possible iden i- ica ion as p io i y subs ances o p io i y haza dous subs ances (Eu opean Pa liamen and Council o he Eu opean Union, 2008). 0022-1694/$ - see on ma e Ó2009 Else ie B.V. All igh s ese ed. doi:10.1016/j.jhyd ol.2009.11.030 *Co esponding au ho . Tel.: +34 934011820; ax: +34 934017251. E-mail add ess: [email p o ec ed] (I. Tubau). Jou nal o Hyd ology 383 (2010) 102–110 Con en s lis s a ailable a ScienceDi ec Jou nal o Hyd ology jou nal homepage: www.else ie .com/loca e/jhyd ol Using EMMA and MIX analysis o assess mixing a ios and o iden i y hyd ochemical eac ions in g oundwa e Isabel Tubau a,b , En ic Vàzquez-Suñé c, ⁎, Anna Ju ado a,c , Jesús Ca e a c a GHS, Dep Geo echnical Enginee ing and Geosciences, Uni e si a Poli ecnica de Ca alunya, UPC-Ba celona Tech, Jo di Gi ona 1-3, 08034 Ba celona, Spain b Geological Ins i u e o Ca alonia, Balmes 209-211, 08006 Ba celona, Spain c GHS, Ins i u e o En i onmen al Assessmen & Wa e Resea ch (IDAEA), CSIC, Jo di Gi ona 18-26, 08034 Ba celona, Spain H I G H L I G H T S •App oach using EMMA and MIX o asses mixing a ios in g oundwa e . •Pollu ed i e echa ge in u ban aqui e s. •Th ee end-membe s a e e ained o explain empo al a iabili y o i e wa e . •Depa u es om mixing lines migh ep esen he occu ence o p ocesses. a b s a c a i c l e i n o A icle his o y: Recei ed 23 July 2013 Recei ed in e ised o m 30 Oc obe 2013 Accep ed 30 Oc obe 2013 A ailable online xxxx Keywo ds: Mixing analysis EMMA MIX U ban g oundwa e This s udy p esen s a me hodology using an end-membe mixing analysis (EMMA) and MIX o compu e mixing a ios and o iden i y hyd ochemical eac ions in g oundwa e . The me hodology consis s o (1) iden i ying he po en ial sou ces o echa ge, (2) cha ac e ising echa ge sou ces and mixed wa e samples using hyd ogeochemis y, (3) selec ing chemical species o be used in he analysis and (4) calcula ing mixing a ios and iden ifica ion o hyd ochemical eac ions in g oundwa e . This app oach has been applied in he Besòs Ri e Del a a ea, whe e we ha e collec ed 51 g oundwa e samples and a long da a egis e o he hyd ogeochemis y o he Besòs Ri e c ea ed by he Ca alan Wa e Agency is also a ailable. The EMMA pe - o med in he Besòs Ri e sugges s ha 3 end-membe s a e equi ed o explain i s empo al a iabili y, accoun - ing o he species chlo ide, sulpha e, sodium, bica bona e, calcium, magnesium, po assium, ammonium, o al ni ogen, and elec ical conduc i i y. One i e end-membe is om he we pe iods (W1), and wo a e om d y pe iods (D1 and D2). These end-membe s ha e been used o compu e mixing a ios in g oundwa e samples because he Besòs Ri e is conside ed he main echa ge sou ce o he aqui e . O e all, d y season end-membe s domina ed o e he we season end-membe , in a p opo ion o 4:1. Mo eo e , when depa u es om he mixing line exis , geochemical p ocesses migh be iden ified. Redox p ocesses, ca bona e dissolu ion/p ecipi a ion and ion exchange p ocesses may occu in Besòs Del a aqui e . © 2013 Else ie B.V. All igh s ese ed. 1. In oduc ion The de e io a ion o g oundwa e quali y has become a majo issue in u ban aqui e s. In u ban a eas, a as a ay o con aminan s may be ound because hey a e in oduced in o he aqui e h ough di e en e- cha ge sou ces. Thus, he assessmen o g oundwa e quali y equi es iden i ying no only he possible ocus o con amina ion bu also he p ocesses ha he pollu an s unde go. In ac , his s udy is mo i a ed by he assessmen o g oundwa e quali y a he Besòs Ri e allu ial aqui e unde nea h Ba celona, Spain. G oundwa e quali y in his a ea is significan ly be e han i e wa e quali y, despi e he ac ha pumped g oundwa e is essen ially echa ged om he i e . A mass balance o chemical species is o en used in hyd ology and e- la ed sciences o aid in he e alua ion o wa e balances. I s simples o m consis s o measu ing he concen a ions o any conse a i e spe- cies occu ing in inflowing and ou flowing wa e s and, assuming con i- nui y, es ablishing he mass balance o solu e and wa e . Howe e , he join e alua ion o echa ge a es and quali y can mos likely be bes achie ed h ough flow and solu e anspo modelling when long head and concen a ion eco ds a e a ailable. Because hese models e- qui e he managemen o much in o ma ion, simple me hodologies a e necessa y. Mixing calcula ions a e an al e na i e o complex models and can be used o be e es ima e he ela i e impo ance o di e en sou ces o echa ge. Mixing calcula ions include (1) End-Membe Mixing Analysis Science o he To al En i onmen 470–471 (2014) 1120–1131 ⁎Co esponding au ho a : Jo di Gi ona 18, 08034 Ba celona, Spain. Tel.: +34 934006100; ax: +34 932045904. E-mail add ess: en ic. [email protected] (E. Vàzquez-Suñé). 0048-9697/$ –see on ma e © 2013 Else ie B.V. All igh s ese ed. h p://dx.doi.o g/10.1016/j.sci o en .2013.10.121 Con en s lis s a ailable a ScienceDi ec Science o he To al En i onmen jou nal ho me page : www . else ie . com/ loca e/sc i o en Hyd ol. Ea h Sys . Sci., 14, 2085–2097, 2010 www.hyd ol-ea h-sys -sci.ne /14/2085/2010/ doi:10.5194/hess-14-2085-2010 © Au ho (s) 2010. CC A ibu ion 3.0 License. Hyd ology and Ea h Sys em Sciences An app oach o iden i y u ban g oundwa e echa ge E. V´ azquez-Su˜ n´ e1, J. Ca e a1, I. Tubau1,2, X. S´ anchez-Vila2, and A. Sole 3 1Ins i u e o En i onmen al Assessmen and Wa e S udies, Spanish Na ional Resea ch Council, IDAEA-CSIC, Ba celona, Spain 2Depa men o Geo echnical Enginee ing and Geosciences, Technical Uni e si y o Ca alonia, UPC Ba celona Tech, Ba celona, Spain 3G up de Mine alogia Aplicada i Medi Ambien , Dep. C is allog afia, Mine alog´ ıa i Dip` osi s Mine als, Facul a de Geologia, Uni e si a de Ba celona, Ba celona, Spain Recei ed: 25 Feb ua y 2010 – Published in Hyd ol. Ea h Sys . Sci. Discuss.: 22 Ap il 2010 Re ised: 4 Oc obe 2010 – Accep ed: 8 Oc obe 2010 – Published: 27 Oc obe 2010 Abs ac . E alua ing he p opo ion in which wa e s om di e en o igins a e mixed in a gi en wa e sample is ele an o many hyd ogeological p oblems, such as quan i ying o- al echa ge, assessing g oundwa e pollu ion isks, o man- aging wa e esou ces. Ou wo k is mo i a ed by u ban hy- d ogeology, whe e wa e s wi h di e en chemical signa u e can be iden ified (losses om wa e supply and sewage ne - wo ks, infil a ion om su ace uno and o he wa e bod- ies, la e al aqui e s inflows, ...). The ela i e con ibu ion o di e en sou ces o o al echa ge can be quan ified by means o solu e mass balances, bu applica ion is hinde ed by he la ge numbe o po en ial o igins. Hence, he need o inco - po a e da a om a la ge numbe o conse a i e species, he unce ain y in sou ces concen a ions and measu emen e - o s. We p esen a me hodology o compu e mixing a ios and end-membe s composi ion, which consis s o (i) Iden i- fica ion o po en ial echa ge sou ces, (ii) Selec ion o ac- e s, (iii) Cha ac e iza ion o he hyd ochemical composi ion o po en ial echa ge sou ces and mixed wa e samples, and (i ) Compu a ion o mixing a ios and ee alua ion o end- membe s. The analysis pe o med in a da a se om samples o he Ba celona ci y aqui e s sugges s ha he main con ib- u o s o o al echa ge a e he wa e supply ne wo k losses (22%), he sewage ne wo k losses (30%), ain all, concen- a ed in he non-u banized a eas (17%), om uno infil a- ion (20%), and he Bes` os Ri e (11%). Rega ding species, halogens (chlo ide, fluo ide and b omide), sul a e, o al ni- ogen, and s able iso opes (18O, 2H, and 34S) beha ed qui e conse a i ely. Bo on, esidual alkalini y, EDTA and Zn did no . Ye , including hese species in he compu a ions did no a ec significan ly he p opo ion es ima ions. Co espondence o: E. V´ azquez-Su˜ n´ e (en ic. [email p o ec ed]) 1 In oduc ion G oundwa e is inc easingly ecognized as a ac o in u ban managemen (see e iews by: Le ne , 1996; Chil on e al., 1997; Eyles, 1997; Chil on, 1999; Ellis, 1999; Llamas and Cus odio, 2002; Howa d and Is afilo , 2002; AIH GE, 2004; V´ azquez-Su˜ ne e al., 2005a). On one hand, some ci ies s ill show o e exploi a ion wi h a se ies o unwan ed ou comes such as subsidence, o de e io a ion in wa e quali y due o a numbe o causes including seawa e pollu ion. On he o he hand, g oundwa e pumping has been abandoned in many ci ies because o pollu ion and/o changes in land uses (no- o iously eloca ion o indus ies). This has caused heads o ise, leading o flooding and po en ial s uc u al damage o unde g ound u ban s uc u es. Con olling heads ise may demand g oundwa e pumping in selec ed loca ions. Pump- ing may also be needed o add ess he inc easing demand o wa e in a sus ainable way. Amongs o he hings, his e- qui es unde s anding he p ocesses a ec ing wa e chemical and mic obiological quali y. A p ope assessmen o g ound- wa e quali y in ol es he quan ifica ion o o e all echa ge, as well as he quali y assessmen o he a ious sou ces in- ol ed. E alua ing echa ge in u ban en i onmen s is essen ially di e en om ha in na u al sys ems o wo easons: (1) echa ge sou ces a e adically di e en and (2) less expe- ience is a ailable. Su ace infil a ion is g ea ly educed be- cause a la ge po ion o su ace a ea is i ually impe ious. The e o e, mos ain all becomes uno , which is di e ed o a d ainage sys em. Howe e , educ ions in di ec infil- a ion can be coun e balanced by educ ions in e apo an- spi a ion. Mo eo e , new sou ces o echa ge may a ise in ci ies, such as losses in he sewage sys em (Wol e al., 2004; Blackwood e al., 2005) o in he wa e dis ibu ion sys- em (wo ld-wide losses exceed 50 L/pe son/day, bu epo ed Published by Cope nicus Publica ions on behal o he Eu opean Geosciences Union. 373 G e o l o g i c a A c a , V o l . 1 0 , N º 4 , D e c e m b e 2 0 1 2 , 3 7 3 - 3 9 3 D O I : 1 0 . 1 3 4 4 / 1 0 5 . 0 0 0 0 0 1 7 5 7 A a i l a b l e o n l i n e a w w w . g e o l o g i c a - a c a . c o m A sequence s a ig aphic based geological model o cons aining hyd ogeological modeling in he u banized a ea o he Qua e na y Besòs del a (NW Medi e anean coas , Spain) V. VELASCO P. CABELLO E. VÁZQUEZ-SUÑÉ M. LÓPEZ-BLANCO E. RAMOS I. TUBAU Geomodels Ins i u e. G oup o Geodynamics and Basin Analysis. Depa amen d’Es a ig a ia, Paleon ologia i Geosciències ma ines, Facul a de Geologia, Uni e si a de Ba celona (UB) c/ Ma í i F anquès s/n, 08028, Ba celona, Spain. Cabello E-mail: [email protected] López-Blanco E-mail: [email protected] Ramos E-mail: emilio. [email protected] GHS, Ins i u e o En i omen al Assessmen and Wa e Resea ch (IDAEA), CSIC Ba celona, Spain. E-mail: [email p o ec ed] G up de Hid ologia Sub e ània (GHS), Depa amen o Geo echnical Enginee ing and Geosciences, Uni e si a Poli ècnica de Ca alunya (UPC)-Ba celonaTech Jo di Gi ona 1-3 Building D-2, 08034 Ba celona, Spain. Velasco E-mail: iole a. [email protected] Tubau E-mail: isabel. [email protected] A B S T R A C T The Qua e na y Bes˜s del a is loca ed on he Medi e anean coas in NE Spain. The Bes˜s Del a Complex includes 3 aqui e s cons i u ed by 3 sandy and g a elly bodies, sepa a ed by lu i ic uni s. These aqui e s supply wa e o domes ic and indus ial use in his a ea. Managemen o g oundwa e has been p oblema ic in he Bes˜s del a since he 1960s, and con inues o pose majo p oblems o subsu ace enginee ing wo ks in his highly u banized egion. This s udy seeks o demons a e he ad an ages o de ailed geological cha ac e iza ion and modeling o designing and cons uc ing a hyd ogeological model. A ailable in o ma ion o he subsu ace was compiled, in eg a ed and homogenized in a geospa ial da abase. The in e p e a ion o hese da a enabled us o delimi geological uni s by means o a sequence s a ig aphic subdi ision. A h ee-dimensional acies bel -based model o he Bes˜s del a was buil on he basis o his geological cha ac e i- za ion. This model was used o cons ain he dis ibu ion o hyd aulic pa ame e s and hus o ob ain a consis en hyd ogeological model o he del a, which was calib a ed by da a o wa e managemen and p oduc ion o e he las hund ed yea s. The esul ing hyd ogeological model yielded new insigh s in o wa e on displacemen s in he aqui e du ing he ime-span conside ed, imp o ing p edic ions in an a emp o op imize aqui e managemen . 2 1 G oundwa e . Del a. Sequence s a ig aphy. Geological model. Hyd ogeological model. KEYWORDS 2 2, 3 1 3 2, 3 11 Applica ion o mul i-iso ope da a (O, D, C and S) o quan i y edox p ocesses in u ban g oundwa e Anna Ju ado a,b, ⇑ , En ic Vàzquez-Suñé a , Albe Sole c , Isabel Tubau b,d , Jesus Ca e a a , Es anislao Pujades a,b , Isabel Anson a,b a GHS, Ins i u e o En i onmen al Assessmen & Wa e Resea ch (IDAEA), CSIC, Jo di Gi ona 18-26, 08034 Ba celona, Spain b GHS, Dep . Geo echnical Enginee ing and Geosciences, Uni e si a Poli ecnica de Ca alunya, UPC-Ba celona Tech, Jo di Gi ona 1-3, 08034 Ba celona, Spain c G up de Mine alogia Aplicada i Medi Ambien , Dep . C is allog a ia, Mine alogia i Dipòsi s Mine als, Facul a de Geologia, Uni e si a de Ba celona, Ba celona, Spain d Geological Ins i u e o Ca alonia, Balmes 209-211, 08006 Ba celona, Spain a i c l e i n o A icle his o y: A ailable online 14 Ma ch 2013 a b s a c The di e en echa ge sou ces and hei mixing a ios we e in es iga ed in wa e samples om an u ban aqui e . Two dis inc zones om Ba celona ci y we e compa ed: (1) Poble Sec and (2) Besòs Ri e Del a, which a e loca ed in a densely popula ed a ea wi h a s ong indus ial impac . In his s udy 106 wa e samples we e collec ed om July 2007 o May 2010 o hyd ochemical and iso opic cha ac e isa ion. The applica ion o en i onmen al iso opes coupled wi h hyd ochemis y p o ided he necessa y in o ma- ion o iso opically quan i y g oundwa e echa ge sou ces and e alua e he occu ence o edox p o- cesses. In he Besòs Ri e Del a, a dec ease in dissol ed SO 2ÿ 4 concen a ion and an inc ease in d 34 S SO4 and d 18 O SO4 alues we e obse ed in g oundwa e samples, bo h indica ing SO 2ÿ 4 educ ion. Mo eo e , o he chemical indica o s suppo ed a educing en i onmen , such as low o null le els o dissol ed O 2 and NO ÿ 3 , he p esence o NH þ 4 and an inc ease in dissol ed Fe and As. The educing condi ions we e p ob- ably induced by he o ganic C dissol ed in wa e in il a ing om he Ri e Besòs. In Poble Sec, he ela- ionship be ween d 34 S SO4 and d 18 O SO4 showed a s ong in luence o sewage wa e in il a ion in o he aqui e . Howe e , he aqui e is oxic and he e is no in luence o SO 2ÿ 4 educ ion. Ó2013 Else ie L d. All igh s ese ed. 1. In oduc ion De e io a ion o g oundwa e quali y in u ban aqui e s has be- come a ma e o conce n. In such a eas, g oundwa e can be con- amina ed by a wide ange o pollu an s. Mo eo e , g oundwa e can be an al e na i e sou ce o wa e supply in ci ies wi h an a id o semia id clima e (Tubau e al., 2010). A p ope assessmen o g oundwa e quali y equi es he quan i ica ion o he o al e- cha ge and he composi ion o he a ious sou ces in ol ed. These quan i a i e assessmen s enable o iden i y he o igin and he a e o chemical compounds ( om pollu ion o a enua ion) and also e alua e managemen s a egies. Howe e , e alua ing he echa ge in u ban en i onmen s is essen ially di e en om u al a eas. This is mainly due o he la ge numbe o di e en sou ces, hei a iable composi ion, and he geochemical p ocesses unde gone by he mix u es. Thus, many adi ional mixing a io compu a ions equi e ha he concen a- ions o end-membe s o be di e en and accu a ely known. Cu en ly, he concen a ions o he di e en species in he end-membe s a e no usually known wi h ce ain y. They can be highly a iable in space and, especially, in ime. This could be he eason why s udies o iden i y and quan i y sou ces and p ocesses in ol ed in he wa e quali y o an u ban aqui e a e e y sca ce (see Vàzquez-Suñé e al., 2010 and e e ences he ein, o a e iew). Some common sou ces o g oundwa e in u ban a eas a e sewe leakage and in il a ion om was e wa e ea men plan s. These sou ces p o ide o ganic C o he wa e and p omo e biodeg ada- ion eac ions o a a ie y o pollu an s (NO ÿ 3 , SO 2ÿ 4 , As-bound o Fe, o ganic mic opollu an s). Biodeg ada ion p ocesses a e ela ed o he edox s a e o wa e . The e o e, iden i ying he edox e olu- ion along a low line is a key issue. Unlike physical p ocesses such as dispe sion, mixing and dilu- ion; biodeg ada ion implies a dec ease in he o al dissol ed mass o a solu e and may in ol e a a ia ion o i s iso opic p opo ions. This sugges s ha iso ope s udies can be help ul in iden i ying and quan i ying biodeg ada ion p ocesses. In ac , he applica ion o en i onmen al iso opes has been employed o cha ac e ise and as- sess di e en issues in u ban g oundwa e echa ge. Bu le and Ve hagen (1997) used wa e iso opes in he s udy o he ci y o P e o ia (Sou h A ica) o di e en ia e be ween he local wa e echa ge and wa e supply, which had a di e en iso opic compo- si ion. Choi e al. (2005) complemen ed a hyd ochemical s udy in 0883-2927/$ - see on ma e Ó2013 Else ie L d. All igh s ese ed. h p://dx.doi.o g/10.1016/j.apgeochem.2013.02.018 ⇑Co esponding au ho a : GHS, Ins i u e o En i onmen al Assessmen & Wa e Resea ch (IDAEA), CSIC, Jo di Gi ona 18-26, 08034 Ba celona, Spain. Tel.: +34 934006100. E-mail add ess: [email p o ec ed] (A. Ju ado). Applied Geochemis y 34 (2013) 114–125 Con en s lis s a ailable a SciVe se ScienceDi ec Applied Geochemis y jou nal homepage: www.else ie .com/loca e/apgeochem GIS-based hyd ogeochemical analysis ools (QUIMET) V. Velasco a,b, n , I. Tubau c , E. Vázquez-Suñè a , R. Gogu d , D. Gai ana u d , M. Alca az a,b , A. Se ano-Juan a,b , D. Fe nàndez-Ga cia b , T. Ga ido e , J. F aile e , X. Sanchez-Vila b a GHS, Ins i u e o En i onmen al Assessmen and Wa e Resea ch (IDAEA –CSIC), Jo di Gi ona 18-26, 08034 Ba celona, Spain b GHS, Depa men o Geo echnical Enginee ing and Geosciences, Uni e si a Poli ècnica de Ca alunya (UPC-Ba celonaTech), Jo di Gi ona 1-3, 08034 Ba celona, Spain c ICGC, Ins i u Ca og àfic i Geològic de Ca alunya, Balmes 209-201, Ba celona, Spain d Technical Uni e si y o Ci il Enginee ing, B-dul Lacul Tei, 124, 020296 Bucha es , Romania e ACA, Agència Ca alana de l'Aigua, P o ença 204, 08036 Ba celona, Spain a i c l e i n o A icle his o y: Recei ed 10 June 2013 Recei ed in e ised o m 16 Ap il 2014 Accep ed 17 Ap il 2014 A ailable online 8 May 2014 Keywo ds: GIS G oundwa e quali y Geospa ial da abase Hyd ogeochemical analysis a b s a c A so wa e pla o m (QUIMET) was de eloped o imp o e he so ing, analysis, calcula ions, isualiza- ions, and in e p e a ions o hyd ogeochemical da a in a GIS en i onmen . QUIMET is composed o a geospa ial da abase plus a se o ools specially designed o g aphical and s a is ical analysis o hyd ogeochemical da a. The geospa ial da abase has been designed o include o ganic and ino ganic chemical eco ds, as well as ele an physical pa ame e s ( empe a u e, Eh, elec ical conduc i i y). The ins umen s o analysis co e a wide ange o me hodologies o que ying, in e p e ing, and compa ing g oundwa e quali y da a. They include, among o he s, chemical ime-se ies analysis, ionic balance calcula ions, co ela ion o chemical pa ame e s, and calcula ion o a ious common hyd o- geochemical diag ams (Salini y, Schoelle –Be kalo , Pipe , and S i ). The GIS pla o m allows he gene a ion o maps o he spa ial dis ibu ion o pa ame e s and diag ams. Mo eo e , i allows pe o ming a comple e s a is ical analysis o he da a including desc ip i e s a is ic uni a ia e and bi a ia e analysis, he la e including gene a ion o co ela ion ma ices and g aphics. Finally, QUIMET o e s in e ope abili y wi h o he ex e nal pla o ms. The pla o m is illus a ed wi h a geochemical da a se om he ci y o Badalona, loca ed on he Medi e anean coas in NE Spain. &2014 Else ie L d. All igh s ese ed. 1. In oduc ion Wa e a ailabili y and accessibili y mus emphasize quali y aspec s, such as whe he wa e complies o gi en s anda ds equi ed o any pa icula use (Ba hel e al., 2008). In a gi en si e he quali y o g oundwa e may be ad e sely a ec ed by ac o s such as indus ia- liza ion, i iga ion p ac ices, o u baniza ion (Fos e , 2001; Vázquez- Suñè e al., 2005b; Scanlon e al., 2005; Ke a a e al., 2011). An accu a e assessmen o he nega i e impac s o hese di e en ac i i ies is pa amoun o he p o ec ion o wa e bodies and ecosys ems associa ed (Na a o-O ega e al., 2012). In o de o ensu e compliance wi h s anda d egula o y guidelines (e.g., he Eu opean Wa e F ame Di ec i e, WHO guidelines), con inuous moni o ing, e alua ion, and in e p e a ion o a la ge da abase in ol ing many po en ial geochem- ical pa ame e s is equi ed. This includes: (a) de e mining he o igin o g oundwa e and he p ocesses con olling i s chemical composi ion and he co esponding spa io- empo al dis ibu ion; (b) e alua ing he cu en g oundwa e quali y end wi h e e ence o soil use, as well as geological and hyd ogeological se up; and (c) es ablishing he egional backg ound composi ion o g oundwa e (in Mendizabal and S uy zand, 2009). Accomplishing hese asks is no s aigh o wa d. The majo di ficul ies o be aced a ise om: (i) he need o manipula e la ge da a se s collec ed o e many yea s; (ii) he in eg a ion o da a s emming om di e se sou ces and ga he ed wi h di e en da a access echniques and o ma s; (iii) he managemen o da a wi h a ying quali y s anda ds (and hus di e en associa ed e o s) and empo al and spa ial ex en , wi h po en ial big gaps o in o ma ion a he spa ial o empo al scales in some a eas; (i ) da a-handling de i ed om bo h field da a, analysis o wa e samples a he labo a o y and g oundwa e models (also ep e- sen a i e scales o da a a e qui e di e en ), and ( ) he in eg a ion o g oundwa e quali y in o ma ion wi h o he ele an in o ma- ion such as geological da a. Op imal da a managemen o his as amoun o spa io- empo al in o ma ion canno be eadily handled wi hou he combina ion o a comp ehensi e geospa ial da abase and a numbe o e ficien ech- nologies and me hodologies capable o classi ying, compa ing, sum- ma izing and in e p e ing huge da a se s. Classic g oundwa e analysis Con en s lis s a ailable a ScienceDi ec jou nal homepage: www.else ie .com/loca e/cageo Compu e s & Geosciences h p://dx.doi.o g/10.1016/j.cageo.2014.04.013 0098-3004/&2014 Else ie L d. All igh s ese ed. n Co esponding au ho . E-mail add esses: [email p o ec ed],[email p o ec ed] (V. Velasco). URL: h p://www.h2ogeo.upc.es/English/so wa e/QUIMET_ACADEMIC/index. h m (V. Velasco). Compu e s & Geosciences 70 (2014) 164–180 Quan i ying chemical eac ions by using mixing analysis Anna Ju ado a,b, ⁎, En ic Vázquez-Suñé a , Jesús Ca e a a , Isabel Tubau b , Es anislao Pujades a,b a GHS, Ins i u e o En i onmen al Assessmen & Wa e Resea ch (IDAEA), CSIC, Jo di Gi ona 18-26, 08034 Ba celona, Spain b GHS, Dep . Geo echnical Enginee ing and Geosciences, Technical Uni e si y o Ca alonia, UPC-Ba celona Tech, Jo di Gi ona 1-3, 08034 Ba celona, Spain H I G H L I G H T S •U ban aqui e is infil a ed by a pollu ed i e ha is he main echa ge sou ce. •Th ee end-membe s a e necessa y o explain he empo al a iabili y o i e wa e . •Depa u es om ideal mixing line a e a ibu ed o chemical p ocesses. •Mixing calcula ions a e used o quan i y chemical p ocesses in u ban g oundwa e . •The p ocesses quan ified a e edox p ocesses and ca bona e dissolu ion. a b s a c a i c l e i n o A icle his o y: Recei ed 21 July 2014 Recei ed in e ised o m 11 Sep embe 2014 Accep ed 11 Sep embe 2014 A ailable online xxxx Edi o : D. Ba celo Keywo ds: U ban aqui e Mixing analysis Non-conse a i e species Chemical eac ion quan ifica ion This wo k is mo i a ed by a sound unde s anding o he chemical p ocesses ha a ec he o ganic pollu an s in an u ban aqui e . We p opose an app oach o quan i y such p ocesses using mixing calcula ions. The me hodol- ogy consis s o he ollowing s eps: (1) iden ifica ion o he echa ge sou ces (end-membe s) and selec ion o he species (conse a i e and non-conse a i e) o be used, (2) iden ifica ion o he chemical p ocesses and (3) e al- ua ion o mixing a ios including he chemical p ocesses. This me hodology has been applied in he Besòs Ri e Del a (NE Ba celona, Spain), whe e he Ri e Besòs is he main aqui e echa ge sou ce. A o al numbe o 51 g oundwa e samples we e collec ed om July 2007 o May 2010 du ing ou field campaigns. Th ee i e end-membe s we e necessa y o explain he empo al a iabili y o he Ri e Besòs: one i e end-membe is om he we pe iods (W1) and wo a e om d y pe iods (D1 and D2). This me hodology has p o ed o be use ul no only o compu e he mixing a ios bu also o quan i y p ocesses such as calci e and magnesi e dissolu ion, ae obic espi a ion and deni ifica ion unde gone a each obse a ion poin . © 2014 Else ie B.V. All igh s ese ed. 1. In oduc ion Ensu ing good wa e quali y is a majo challenge in u ban a eas. U ban aqui e s may su e pollu ion om echa ge sou ces such as wa e leakage om sewe and sep ic sys ems, seepage om i e s, sea- wa e in usion, and losses om wa e supply ne wo k e c. As a esul , a wide ange o o ganic pollu an s a e ound in u ban aqui e s. Since hese pollu an s each g oundwa e en i onmen , hei occu ence depends on simul aneous anspo and biogeochemical p ocesses. Fo a quan i- a i e assessmen o g oundwa e quali y a sound unde s anding o all hese p ocesses a ec ing hese pollu an s is essen ial. Howe e , he quan ifica ion o hese p ocesses is no an easy ask. In o de o quan i y such p ocesses, modelling ools ha p o ide ex ensi e biogeochemical capabili ies a e necessa y (P omme e al., 2000). Reac i e anspo models quan i y he spa ial and empo al e o- lu ion o a numbe o chemical species subjec ed o anspo phenom- ena and chemical eac ions. Nume ous codes ha e been de eloped in ecen yea s. They ha e been applied o p oblems such as leacha e a enua ion (Islam e al., 2001; Van B eukelen e al., 2004), pollu ion plumes (B un e al., 2002), mic obially media ed eac ions (Schä e e al., 1998a,b; Hun e e al., 1998; Tebes-S e ens e al., 1999; Wang and Papengu h, 2001), ca bon cycle modelling cases (G eskowiak e al., 2005) and he quan ifica ion o edox p ocesses in aqui e s (Kea ing and Bah , 1998; McGui e e al., 2002; Massmann e al., 2004; Mio linski, 2008) and in he hypo heic zone (Mille e al., 2006; Za ne ske e al., 2011). Howe e , simple app oaches a e equi ed since hese echniques a e edious and ime consuming because o he need o a eliable flow and conse a i e anspo models. Mixing calcula ions cons i u e an al e na i e o eac i e anspo models. Mixing calcula ions ypically in ol ed: (1) End-Membe Mixing Analysis (EMMA) (Hoope e al., 1990; Hoope , 2003) o find he minimum numbe o end-membe s equi ed o explain a se o chemical analyses, and (2) mixing a ios defined as he p opo ion o Science o he To al En i onmen 502 (2015) 448–456 ⁎Co esponding au ho a : Jo di Gi ona 18, 08034 Ba celona, Spain. Tel.: +34 934006100; ax: +34 932045904. E-mail add ess: annaju [email protected] (A. Ju ado). h p://dx.doi.o g/10.1016/j.sci o en .2014.09.036 0048-9697/© 2014 Else ie B.V. All igh s ese ed. Con en s lis s a ailable a ScienceDi ec Science o he To al En i onmen jou nal h o me page : www. e lse i e .c om /loc a e/ s ci o en