scieee Science in your language
[en] (orig)

Comparison of Methodologies for Assessing Desert Dust Contribution to Regional PM10 and PM2.5 Levels: A One-Year Study Over Portugal

Abstract

Desert dust outbreaks may a ect air quality. This study estimates the importance of African dust contribution to the PM10 and PM2.5 concentrations observed in rural regional background sites in Portugal. Desert dust contribution is evaluated by two di erent approaches: Ameasurement-approach methodology based on the monthly moving 40th percentile, and a model-approach methodology based on WRF-CHIMERE simulations, whose performance is also assessed within this work. Several desert dust episodes a ected atmospheric aerosols in the planetary boundary layer over Portugal during 2016. Their intensity was variable, with at least two events (21–22 February and 27–28 October) contributing to exceedances to the PM10 daily limit value defined in the European Air Quality Directive. African dust contributions obtained for the year 2016 with the measurement-approach methodology are higher than the ones simulated by WRF-CHIMERE. Contributions to PM10 and to PM2.5 concentrations range from 0 to 90 g m􀀀3 and from 0 to 30 g m􀀀3, respectively, in most of the regions and days. Caution must be employed when using measurement-approach methodologies to quantify dust contributions to PM levels when forest fires occur simultaneously with the long-range transport of desert dust, as happened in August 2016.

Read accessible full text

Comparison of Methodologies for Assessing Desert Dust Contribution to Regional PM10 and PM2.5 Levels: A One-Year Study Over Portugal

Author: Gama, Carla,Pio, Casimiro,Monteiro, Alexandra,Russo, Michael,Fernandes, Ana Patrícia,Borrego, Carlos,Baldasano, José María,Tchepel, Oxana
Publisher: MDPI
Year: 2020
DOI: 10.3390/atmos11020134
Source: https://estudogeral.uc.pt/bitstream/10316/105806/1/Comparison-of-methodologies-for-assessing-desert-dust-contribution-to-regional-PM10-and-PM25-Levels-A-oneyear-study-over-PortugalAtmosphere.pdf
a mosphe e
A icle
Compa ison o Me hodologies o Assessing Dese
Dus Con ibu ion o Regional PM10 and PM2.5
Le els: A One-Yea S udy O e Po ugal
Ca la Gama 1,* , Casimi o Pio 1, Alexand a Mon ei o 1, Michael Russo 1,
Ana Pa ícia Fe nandes 1, Ca los Bo ego 1, JoséMa ía Baldasano 2and Oxana Tchepel 3
1Depa men o En i onmen and Planning, CESAM, Uni e si y o A ei o, 3810-193 A ei o, Po ugal;
[email p o ec ed] (C.P.); [email p o ec ed] (A.M.); michaela [email p o ec ed] (M.R.);
[email p o ec ed] (A.P.F.); [email p o ec ed] (C.B.)
2En i onmen al Modeling Labo a o y, Technical Uni e si y o Ca alonia, 08034 Ba celona, Spain;
[email p o ec ed]
3
Depa men o Ci il Enginee ing, CITTA, Uni e si y o Coimb a, 3030-788 Coimb a, Po ugal; [email p o ec ed]
*Co espondence: [email p o ec ed]
Recei ed: 15 No embe 2019; Accep ed: 21 Janua y 2020; Published: 24 Janua y 2020


Abs ac :
Dese dus ou b eaks may a ec ai quali y. This s udy es ima es he impo ance o A ican
dus con ibu ion o he PM10 and PM2.5 concen a ions obse ed in u al egional backg ound si es in
Po ugal. Dese dus con ibu ion is e alua ed by wo di e en app oaches: A measu emen -app oach
me hodology based on he mon hly mo ing 40 h pe cen ile, and a model-app oach me hodology
based on WRF-CHIMERE simula ions, whose pe o mance is also assessed wi hin his wo k. Se e al
dese dus episodes a ec ed a mosphe ic ae osols in he plane a y bounda y laye o e Po ugal
du ing 2016. Thei in ensi y was a iable, wi h a leas wo e en s (21–22 Feb ua y and 27–28 Oc obe )
con ibu ing o exceedances o he PM10 daily limi alue de ined in he Eu opean Ai Quali y
Di ec i e. A ican dus con ibu ions ob ained o he yea 2016 wi h he measu emen -app oach
me hodology a e highe han he ones simula ed by WRF-CHIMERE. Con ibu ions o PM10 and o
PM2.5 concen a ions ange om 0 o 90
µ
g m
−3
and om 0 o 30
µ
g m
−3
, espec i ely, in mos o he
egions and days. Cau ion mus be employed when using measu emen -app oach me hodologies o
quan i y dus con ibu ions o PM le els when o es i es occu simul aneously wi h he long- ange
anspo o dese dus , as happened in Augus 2016.
Keywo ds:
dese dus ; pa icula e ma e ; Po ugal; ai quali y; CHIMERE; mon hly mo ing
40 h pe cen ile
1. In oduc ion
Pa icula e ma e (PM) concen a ions in he a mosphe e a e in luenced by se e al na u al and
an h opogenic sou ces. Amongs he na u al p ocesses, long- ange anspo o dus emi ed om
dese s and o he a id a eas may a ec ai quali y, se e ely (e.g., Re e ences [
1
,
2
]). Those con ibu ions
om na u al sou ces o PM le els can be assessed, bu no con olled.
Despi e a educ ion, o e he las yea s, o PM concen a ions o e Eu ope [
3
] and Po ugal [
4
],
PM10 and PM2.5 (pa icles wi h ae odynamic diame e s smalle han 10
µ
m and 2.5
µ
m, espec i ely)
con inue o be pollu an s o pa icula conce n, exceeding he limi alues de ined by he Eu opean Ai
Quali y Di ec i e (Di ec i e 2008/50/EC) o he p o ec ion o human heal h, e e y yea in di e en
moni o ing si es. Whe e na u al con ibu ions o pollu an s in ambien ai can be de e mined wi h
su icien ce ain y and when exceedances a e due in whole o in pa o na u al con ibu ions, he
Di ec i e allows hei sub ac ion when assessing compliance wi h ai quali y limi alues. This
A mosphe e 2020,11, 134; doi:10.3390/a mos11020134 www.mdpi.com/jou nal/a mosphe e
A mosphe e 2020,11, 134 2 o 21
sub ac ion is pa icula ly impo an when penal ies (due o exceedances o he legisla ed limi alues)
can be a oided.
The mos accu a e me hod o quan i y dus con ibu ion o PM concen a ions is by sampling and
pe o ming a chemical cha ac e iza ion o he ae osol. Howe e , such analyses a e usually pe o med
du ing speci ic campaigns and no as ou ine measu emen s o he a mosphe e. Thus, o he me hods
a e equi ed o es ima e he con ibu ion o dus o PM concen a ions.
Cu en ly, one o he o icial me hods [
5
] adop ed by he Eu opean Commission o e alua ing he
occu ence o A ican dus ou b eaks and quan i ying hei con ibu ions, and he one adop ed by he
Po uguese En i onmen Agency, is a s a is ical app oach based on he a iabili y a u al backg ound
si es [
6
] (he ea e e e ed o as P40). I is based on he applica ion o a 30-day mo ing 40
h
pe cen ile
o he PM da a se ies in u al backg ound s a ions, a e excluding hose days impac ed by A ican dus ,
which mus be p e iously iden i ied based on sa elli e obse a ions, model back- ajec o ies and/o
dus o ecas models. The easibili y o his me hod was demons a ed by compa ing expe imen ally
measu ed concen a ions o he mine al ma e de e mined a h ee Spanish u al backg ound si es
(Monag ega and Mon seny, bo h loca ed in he Eas e n pa o he Ibe ian Peninsula, and Bell e , loca ed
in he Balea ic Islands) e sus he es ima ed A ican dus con ibu ions ob ained by his p ocedu e.
O he measu emen -based me hodologies o de ec and quan i y A ican dus con ibu ions o PM
le els a e ound in he li e a u e. The Tel A i Uni e si y, in Is ael, de eloped a me hod which uses
only PM10 and PM2.5 measu emen s om au oma ic s a ions [
7
]. This me hod employs an au oma ic
algo i hm wi h h ee h esholds and does no equi e any o he inpu s, such as sa elli e obse a ions,
model back- ajec o ies, dus o ecas models, o mine alogical analyses. Viana e al. [
8
] compa ed
his me hod wi h he one desc ibed abo e, and ound ha he P40 me hod is mo e conse a i e in he
de ec ion o A ican dus episodes, as i is less a ec ed by in e e ences om local dus sou ces.
Ano he p ocedu e o quan i ying he wind-blown dese con ibu ions o daily a e age PM10
concen a ions om moni o ing si es was p oposed by G
ó
mez-Losada e al. [
9
]. This measu emen -
based me hodology is based on he use o Hidden Ma ko Models. In ha s udy, he annual a e age
Saha an PM10 con ibu ion in he Cana y Islands, Spain, was es ima ed and compa ed o he one
es ima ed by he P40 me hod. The annual con ibu ion o No h A ican episodes o he PM10 mean
alue in he Cana ias A chipelago coincides ma kedly wi h he same es ima ion made wi h he
P40 me hod.
Recen ly, some modi ica ions o he P40 me hodology we e sugges ed and ansla ed in o an
au oma ic ool by Ba naba e al. [
10
]. This P40- e ised me hodology was success ully implemen ed
o e I aly and showed be e pe o mances in p edic ing iming and absolu e alues o he dese -dus
con ibu ion o he daily PM10 concen a ions wi h espec o he o icial P40 app oach. Mo eo e , in
he scope o he inDUST COST Ac ion (h ps://cos -indus .eu, CA16202), a wo kg oup is es ing and
compa ing he di e en me hods a ailable o quan i y dese dus con ibu ion o PM concen a ions,
iden i ying hei ad an ages and limi a ions, wi h he pu pose o ha monizing his assessmen among
he Eu opean Union.
In addi ion o a mosphe ic moni o ing, modelling is an impo an ool o unde s and he beha io
o species and pollu an s in he a mosphe e. Se e al nume ical models a e able o es ima e dus sou ces
and sinks in he a mosphe e, o simula e anspo and ul ima ely con ibu ions o PM concen a ions,
such as he BSC-DREAM8b [
11
], SKIRON [
12
], CHIMERE [
13
] and NMMB/BSC-Dus [
14
] models,
among many o he s. Mo eo e , dus is now included in many ope a ional o ecas sys ems, and se e al
dus - ela ed p oduc s a e a ailable o No he n A ica and Eu ope, o example, due o he wo k o
he Sand and Dus S o m Wa ning Ad iso y and Assessmen Sys em (SDS-WAS), es ablished by he
Wo ld Me eo ological O ganiza ion (WMO).
In his s udy, we aim o assess dese dus con ibu ion o PM10 and PM2.5 concen a ions o e
Po ugal o he yea 2016. We will apply Escude o’s s a is ical app oach (P40) o one yea o pa icula e
ma e concen a ions o e Po ugal and compa e he esul s o model es ima es pe o med using he
Po uguese ope a ional ai quali y o ecas sys em (based on WRF-CHIMERE simula ions). Mo eo e ,
A mosphe e 2020,11, 134 3 o 21
he calcula ion o he numbe o days o exceedance o he PM10 daily limi alue, be o e and a e he
sub ac ion o he A ican dus con ibu ions, will be pe o med o he di e en es ima es.
2. Me hodology
In his s udy, he P40 me hod, o icially me hod adop ed by he Po uguese En i onmen Agency,
is applied o ai quali y da a o e Po ugal conside ing a one-yea pe iod (2016). In addi ion o he P40
me hod, a model-based me hodology is applied, and he esul s o bo h app oaches a e compa ed.
In he model-based me hodology, he in luence o A ican dus ou b eaks on PM le els is quan i ied
using mine al dus concen a ions simula ed by he WRF-CHIMERE modelling sys em, which esul s
a e also assessed.
2.1. The Measu emen -Based P40 Me hod
The measu emen -based P40 me hod is a s a is ical me hodology applied o PM da a se ies o
calcula e daily A ican dus con ibu ions o PM10 and PM2.5. I is based on he applica ion o a 30-day
mo ing 40
h
pe cen ile o he PM10 o PM2.5 da a se ies in u al backg ound s a ions, a e excluding
hose days impac ed by A ican dus . The days impac ed by A ican dus should be iden i ied based
on a ious da a and in o ma ion, including sa elli e obse a ions, model back- ajec o ies and dus
o ecas models. In days a ec ed by A ican dus , he 30-day mo ing 40
h
pe cen ile is assumed o be
he heo e ical backg ound concen a ion o PM wi hou A ican dus inpu . The e o e, he A ican
dus con ibu ion is ob ained by he di e ence be ween he expe imen al PM10 o PM2.5 concen a ion
and he calcula ed 40
h
pe cen ile alue. This me hodology was ini ially published conside ing he 30
h
pe cen ile [
6
]. Fo conse a i e easons, he 40
h
pe cen ile was la e adop ed ins ead o he 30
h
one [
5
].
This calcula ion, done o u al backg ound si es, pe mi s o es ima e he daily con ibu ion o
A ican dus o he whole egion. The es ima ed alue may hen be sub ac ed om he daily PM
le els obse ed a o he moni o ing s a ions in he same egion. O e Po ugal, six u al backg ound
si es a e usually conside ed o he assessmen o A ican dus con ibu ion o PM le els, which a e
iden i ied in Table 1.
Table 1.
Lis o u al backg ound ai quali y moni o ing s a ions selec ed as ep esen a i e by he
Po uguese En i onmen Agency (o de ed by la i ude). PM10 and PM2.5 da a comple eness a e
included o he yea 2016.
Code Name LON LAT Heigh (m) PM10 Da a PM2.5 Da a
DRN Dou o No e −7.789 41.370 1086 19.1% 20.8%
FUN Fundão−7.300 40.232 473 92.1% 69.7%
MOV
Mon emo -o-Velho
−8.677 40.183 96 79.2% -
CHA Chamusca −8.468 39.353 143 98.1% 96.7%
TER Te ena −7.398 38.616 187 98.4% 87.7%
CER Ce o −7.680 37.312 300 85.5% 88.5%
The impac o mine al dus ou b eaks on PM10 and PM2.5 ambien concen a ions is calcula ed
o he i e si es Fund
ã
o (FUN), Mon emo -o-Velho (MOV), Chamusca (CHA), Te ena (TER) and
Ce o (CER). Al hough all hose si es a e classi ied as u al egional backg ound, hey a e loca ed in
di e en egions; hus, hey may exhibi he in luence o di e en landscapes, land uses, local clima e
and opog aphy. Dou o No e (DRN) da a has no been used, due o he low quan i y o a ailable
obse a ions (see Table 1) du ing he yea in he analysis.
2.2. The WRF-CHIMERE Modelling Sys em
In his wo k, he nume ical simula ions o a mosphe ic physical and chemical p ope ies a e
based on he Wea he Resea ch and Fo ecas ing (WRF) me eo ological model [
15
], whose ou pu s
d i e he CHIMERE chemis y- anspo model [
16
], de eloped in F ance a he Dynamic Me eo ology
A mosphe e 2020,11, 134 4 o 21
Labo a o y om he Ins i u e Pie e Simon Laplace (IPSL/LMD), F ench Na ional Ins i u e o Indus ial
En i onmen and Risks (INERIS) and In e -Uni e si y Labo a o y o A mosphe ic Sys ems (IPSL/LISA).
Since he WRF-CHIMERE is he modelling sys em used in he Po uguese ope a ional ai quali y o ecas
sys em, i has been ex ensi ely es ed and alida ed. Those exe cises con i med he easonably good
skills o he CHIMERE model o ozone and o he gaseous pollu an s concen a ions [
17
]. Pa icula e
ma e p esen s a highe complexi y han ozone. Many s udies ha e ecognized he di icul y o models
o simula e he mass o PM o e Eu ope (e.g., Re e ences [
18
,
19
]). As summa ized by Basa e al. [
20
],
he unde es ima ion o PM10 may be ela ed wi h he lack o dus and esuspended ma e emissions,
a possible unde es ima ion o p ima y ca bonaceous pa icles, he inaccu acy o seconda y o ganic
ae osol o ma ion, he di icul y in ep esen ing p ima y PM emission om wood bu ning and o he
sou ces no conside ed in he emission in en o y, such as pollu an sou ces o e No h A ica and a
mo e gene al lack o knowledge on ae osol emo al, dispe sion and anspo p ocesses.
The WRF-CHIMERE modelling sys em is applied o he whole o 2016 conside ing h ee nes ed
domains, depic ed in Figu e 1. High- esolu ion simula ions we e pe o med, using a coa se domain
co e ing Sou he n Eu ope and Saha a Dese wi h a ho izon al esolu ion o 27
×
27 km
2
(CONT27);
a second domain co e ing he Ibe ian Peninsula wi h 9
×
9 km
2
o ho izon al esolu ion (IP09); and
he inne -mos domain co e ing mainland Po ugal, wi h 3
×
3 km
2
(PT03). The e ical esolu ion in
CHIMERE a ies upwa d in a geome ic p og ession. The lowes a mosphe ic laye s a e mo e e ined,
since hese laye s a e c i ical o he modelling o bounda y laye con amina ion, pa icula ly in u ban
a eas, bu also in ma ine a eas, in o de o model he sea-sal emissions co ec ly, and in a id a eas, o
mine al dus emissions [
21
]. Al hough he mos equen ly used e ical disc e iza ion consis s o eigh
e ical le els [
16
], in p esen simula ions, a be e ep esen a ion o he ee oposphe e is employed,
using 24 le els up o he 200hPa p essu e le el. The i s model laye , which is close o he su ace, has
a hickness o 3 hPa, abou 30m. Wi h his e ical disc e iza ion, we aim o ep oduce he long- ange
anspo o dus om No h A ica be e , as sugges ed by Menu e al. [16].
A mosphe e 2020, 11, 134 4 o 23
d i e he CHIMERE chemis y- anspo model [16], de eloped in F ance a he Dynamic
Me eo ology Labo a o y om he Ins i u e Pie e Simon Laplace (IPSL/LMD), F ench Na ional
Ins i u e o Indus ial En i onmen and Risks (INERIS) and In e -Uni e si y Labo a o y o
A mosphe ic Sys ems (IPSL/LISA). Since he WRF-CHIMERE is he modelling sys em used in he
Po uguese ope a ional ai quali y o ecas sys em, i has been ex ensi ely es ed and alida ed.
Those exe cises con i med he easonably good skills o he CHIMERE model o ozone and o he
gaseous pollu an s concen a ions [17]. Pa icula e ma e p esen s a highe complexi y han ozone.
Many s udies ha e ecognized he di icul y o models o simula e he mass o PM o e Eu ope (e.g.,
Re e ences [18,19]). As summa ized by Basa e al. [20], he unde es ima ion o PM10 may be ela ed
wi h he lack o dus and esuspended ma e emissions, a possible unde es ima ion o p ima y
ca bonaceous pa icles, he inaccu acy o seconda y o ganic ae osol o ma ion, he di icul y in
ep esen ing p ima y PM emission om wood bu ning and o he sou ces no conside ed in he
emission in en o y, such as pollu an sou ces o e No h A ica and a mo e gene al lack o
knowledge on ae osol emo al, dispe sion and anspo p ocesses.
The WRF-CHIMERE modelling sys em is applied o he whole o 2016 conside ing h ee nes ed
domains, depic ed in Figu e 1. High- esolu ion simula ions we e pe o med, using a coa se domain
co e ing Sou he n Eu ope and Saha a Dese wi h a ho izon al esolu ion o 27 × 27 km2 (CONT27);
a second domain co e ing he Ibe ian Peninsula wi h 9 × 9 km2 o ho izon al esolu ion (IP09); and
he inne -mos domain co e ing mainland Po ugal, wi h 3 × 3 km2 (PT03). The e ical esolu ion in
CHIMERE a ies upwa d in a geome ic p og ession. The lowes a mosphe ic laye s a e mo e
e ined, since hese laye s a e c i ical o he modelling o bounda y laye con amina ion, pa icula ly
in u ban a eas, bu also in ma ine a eas, in o de o model he sea-sal emissions co ec ly, and in a id
a eas, o mine al dus emissions [21]. Al hough he mos equen ly used e ical disc e iza ion
consis s o eigh e ical le els [16], in p esen simula ions, a be e ep esen a ion o he ee
oposphe e is employed, using 24 le els up o he 200hPa p essu e le el. The i s model laye , which
is close o he su ace, has a hickness o 3 hPa, abou 30m. Wi h his e ical disc e iza ion, we aim
o ep oduce he long- ange anspo o dus om No h A ica be e , as sugges ed by Menu e al.
[16].
Figu e 1. WRF-CHIMERE domains.
Figu e 1. WRF-CHIMERE domains.
A mosphe e 2020,11, 134 5 o 21
A he bounda ies o he ou e mos domain, clima ologies om global model simula ions a e
used. The ou pu s om LMDz-INCA (IN e ac ion wi h Chemis y and Ae osols model coupled o he
Labo a oi e de M
é
é
o ologie Dynamique Gene al Ci cula ion Model) [
22
] a e used o all gaseous and
ae osol species, excep o mine al dus . Fo his species, simula ions om he GOCART (Godda d
Chemis y Ae osol Radia ion and T anspo ) model a e used [
23
]. Fo he nes ed domains, he bounda y
condi ions a e upda ed e e y hou using he p e iously pe o med coa se CHIMERE simula ion. Fo
he yea 2016, 366 daily uns ha e been pe o med. In each un, he ini ial condi ions a e de ined by
he las hou om he p e ious-day model un.
In addi ion o he me eo ological ields ( om WRF) and o he chemical bounda y condi ions,
he ai quali y modelling sys em mus be ed wi h p ima y pollu an emissions. The main human
ac i i ies emissions ( a ic, indus ies and ag icul u e, among o he s) a e de i ed based on da a om
he annual UNECE/EMEP emission da abase (Eu opean Moni o ing and E alua ion P og am, di ec ed
by he Uni ed Na ions Economic Commission o Eu ope) [
24
], ollowing a p ocedu e o spa ial and
empo al downscaling. The spa ial alloca ion o su ace emissions on he CHIMERE g id is based
on a classi ica ion wi h ou landuse ypes: U ban, c op, wa e o o es . Then, o each g id cell,
hou ly es ima es a e de i ed, assuming seasonal ac o s and 24-h p o iles o each coun y and SNAP
(Selec ed Nomencla u e o sou ces o Ai Pollu ion) sec o . In addi ion, EMEP pollu an s a e spli
in o model species, acco ding o he chemical mechanism selec ed in hese simula ions: The se en
in en o y pollu an s (CO, NOx, SOx, NMVOC, NH
3
, PM10 and PM2.5) a e spli in o he 42 educed
Melchio species and eigh chemical ope a o s.
Na u al emissions es ima es a e also aken in o accoun by he model, namely, biogenic emissions,
sea sal and dus . Fo es i e emissions a e no included in he simula ions. The emissions ela ed o he
ege a ion a e compu ed online using he MEGAN model (Model o Emissions o Gases and Ae osols
om Na u e) [
25
]. Sea sal luxes a e calcula ed, acco ding o Monahan e al. [
26
]. Dus emission
luxes a e calcula ed using he pa ame iza ion o Ma ico ena and Be game i [
27
] o sal a ion and
he dus p oduc ion model p oposed by Al a o and Gomes [
28
] o sandblas ing. This calcula ion
equi es land-use da a, which is used o p o ide a dese mask speci ying wha su ace is po en ially
e odible. In hese simula ions, he USGS (Uni ed S a es Geological Su ey) da abase, STATSGO-FAO,
is employed, and he e odible land-use ype applied as a dese mask o dus luxes calcula ion is
ba en soil (whi e sand).
3. Resul s
3.1. How is he Modelling Sys em Pe o ming?
The abili y o he WRF-CHIMERE sys em o simula e g ound-le el PM10 and PM2.5 concen a ions
is assessed h ough compa ison o model ou pu s wi h concen a ions ou inely obse ed wi hin he
Po uguese ai quali y moni o ing ne wo k. This compa ison is pe o med o he i e u al egional
backg ound si es p e iously selec ed.
The compa ison be ween model esul s and obse a ions, in e ms o PM10 and PM2.5 annual
means, is p esen ed in Figu e 2. The backg ound le els a e easonably cap u ed by he model in all
moni o ing s a ions, bu TER. Mean di e ences (o bias) be ween modelled and obse ed concen a ions
a e app oxima ely 5
µ
g
·
m
−3
o PM10 and 2
µ
g
·
m
−3
o PM2.5, in CER, CHA, FUN and MOV. TER
exhibi s di e ences o 13
µ
g
·
m
−3
o PM10 and 8
µ
g
·
m
−3
o PM2.5. Among he i e u al backg ound
moni o ing s a ions included in his s udy, TER has he highes obse ed PM10 and PM2.5 mean
concen a ions. I s PM10 and PM2.5 mean concen a ions a e mo e han 5
µ
g
·
m
−3
highe han he
ones measu ed in FUN, CHA o CER. The TER moni o ing s a ion is loca ed in Alen ejo In e io ,
a p edominan ly a id egion, wi h land use and land co e which may con ibu e o pa icula e
esuspension and inc ease PM concen a ions in he egion.

A mosphe e 2020,11, 134 6 o 21
A mosphe e 2020, 11, 134 6 o 23
(a) (b)
Figu e 2. Maps o (a) PM10 and (b) PM2.5 annual mean concen a ions du ing 2016, as modelled by
WRF-CHIMERE. Obse ed mean concen a ions a e included wi hin ci cles.
To assess model ag eemen wi h obse a ions on a daily basis, Taylo diag ams [29] ela i e o
he mean backg ound concen a ions (e.g., daily a e age concen a ions among he i e moni o ing
s a ions) a e p esen ed in Figu e 3. The Taylo diag am is one o he mo e use ul me hods o
e alua ing model pe o mance, since i p o ides a way o showing simul aneously how h ee
complemen a y model pe o mance s a is ics a y: The co ela ion coe icien ( ), he s anda d
de ia ion (sigma) and he oo -mean-squa e (RMS) e o . Co ela ion be ween modelled
concen a ions and obse a ions is 0.6 o PM10 and 0.4 o PM2.5. This means ha on a yea ly basis,
CHIMERE ep oduces be e he empo al a iabili y ac oss Po ugal o PM10 han PM2.5. S anda d
de ia ion and oo mean squa e e o a e, in absolu e alues, highe o PM10 han PM2.5, which is
ela ed o he highe PM10 daily alues in compa ison o PM2.5.
(a) (b)
Figu e 3. Taylo diag ams ela i e o he WRF-CHIMERE pe o mance simula ing g ound-le el (a)
PM10 and (b) PM2.5 concen a ions. Concen ic dashed lines emana ing om he ‘obse ed’ poin
show he alue o he RMS e o . Va iabili y in he obse a ions and model esul s is ep esen ed by
Figu e 2.
Maps o (
a
) PM10 and (
b
) PM2.5 annual mean concen a ions du ing 2016, as modelled by
WRF-CHIMERE. Obse ed mean concen a ions a e included wi hin ci cles.
To assess model ag eemen wi h obse a ions on a daily basis, Taylo diag ams [
29
] ela i e o
he mean backg ound concen a ions (e.g., daily a e age concen a ions among he i e moni o ing
s a ions) a e p esen ed in Figu e 3. The Taylo diag am is one o he mo e use ul me hods o e alua ing
model pe o mance, since i p o ides a way o showing simul aneously how h ee complemen a y
model pe o mance s a is ics a y: The co ela ion coe icien ( ), he s anda d de ia ion (sigma) and
he oo -mean-squa e (RMS) e o . Co ela ion be ween modelled concen a ions and obse a ions is
0.6 o PM10 and 0.4 o PM2.5. This means ha on a yea ly basis, CHIMERE ep oduces be e he
empo al a iabili y ac oss Po ugal o PM10 han PM2.5. S anda d de ia ion and oo mean squa e
e o a e, in absolu e alues, highe o PM10 han PM2.5, which is ela ed o he highe PM10 daily
alues in compa ison o PM2.5.
A mosphe e 2020, 11, 134 6 o 23
(a) (b)
Figu e 2. Maps o (a) PM10 and (b) PM2.5 annual mean concen a ions du ing 2016, as modelled by
WRF-CHIMERE. Obse ed mean concen a ions a e included wi hin ci cles.
To assess model ag eemen wi h obse a ions on a daily basis, Taylo diag ams [29] ela i e o
he mean backg ound concen a ions (e.g., daily a e age concen a ions among he i e moni o ing
s a ions) a e p esen ed in Figu e 3. The Taylo diag am is one o he mo e use ul me hods o
e alua ing model pe o mance, since i p o ides a way o showing simul aneously how h ee
complemen a y model pe o mance s a is ics a y: The co ela ion coe icien ( ), he s anda d
de ia ion (sigma) and he oo -mean-squa e (RMS) e o . Co ela ion be ween modelled
concen a ions and obse a ions is 0.6 o PM10 and 0.4 o PM2.5. This means ha on a yea ly basis,
CHIMERE ep oduces be e he empo al a iabili y ac oss Po ugal o PM10 han PM2.5. S anda d
de ia ion and oo mean squa e e o a e, in absolu e alues, highe o PM10 han PM2.5, which is
ela ed o he highe PM10 daily alues in compa ison o PM2.5.
(a) (b)
Figu e 3. Taylo diag ams ela i e o he WRF-CHIMERE pe o mance simula ing g ound-le el (a)
PM10 and (b) PM2.5 concen a ions. Concen ic dashed lines emana ing om he ‘obse ed’ poin
show he alue o he RMS e o . Va iabili y in he obse a ions and model esul s is ep esen ed by
Figu e 3.
Taylo diag ams ela i e o he WRF-CHIMERE pe o mance simula ing g ound-le el (
a
)
PM10 and (
b
) PM2.5 concen a ions. Concen ic dashed lines emana ing om he ‘obse ed’ poin
show he alue o he RMS e o . Va iabili y in he obse a ions and model esul s is ep esen ed by he
s anda d de ia ion, which is measu ed as he adial dis ance om he o igin o he plo . The co ela ion
coe icien is shown on he a c and poin s ha lie closes o he x-axis ha e he highes co ela ion.
A mosphe e 2020,11, 134 7 o 21
The esul s ob ained o he model pe o mance ega ding PM10 concen a ions in his s udy a e
mode a ely be e han wha was p e iously achie ed by his modelling se up. A p e ious s udy by
Russo e al. [30] shows a co ela ion coe icien o 0.4 o u al si es.
3.2. Assessmen o Dus Con ibu ion o PM10 and PM2.5 in Po ugal, Du ing 2016
3.2.1. Using he Measu emen -Based Me hodology
Du ing 2016, he Po uguese En i onmen Agency iden i ied in mainland Po ugal 93 days (mo e
de ails in Figu e A1) as days impac ed by A ican dus [
31
]. This iden i ica ion was based on he dus
o ecas models BSC-DREAM8b [
11
] and SKIRON [
12
], and on he HYSPLIT (Hyb id Single-Pa icle
Lag angian In eg a ed T ajec o y) model [
32
] Fo each day, we applied he P40 me hodology in o de o
calcula e he egional A ican dus con ibu ions o PM10 and PM2.5 concen a ions (AD10 and AD2.5,
espec i ely) o e Po ugal. Resul s a e p esen ed in Figu es 4and 5, o PM10 and PM2.5, espec i ely.
A ican dus con ibu ion o PM le els is e iden du ing a speci ic episode in Feb ua y, du ing
se e al episodes om mid-June o mid-Augus , and also du ing Oc obe and No embe . Acco ding
o he P40 me hod, he highes daily con ibu ion o PM10 occu du ing he Feb ua y episode (on
22 Feb ua y in TER (AD10 =161
µ
g
·
m
−3
) and CHA (AD10 =76
µ
g
·
m
−3
); on 21 Feb ua y in CER, which
has no measu emen s a ailable du ing he 22nd) o on 13 Augus in he Cen e egion (FUN (AD10
=82
µ
g
·
m
−3
) and MOV (AD10 =77
µ
g
·
m
−3
) moni o ing s a ions). No e ha du ing hese days, he
con ibu ion o A ican dus (AD10), only, is al eady su icien o su pass he PM10 daily limi alue
de ined by he Eu opean Ai Quali y Di ec i e o he p o ec ion o human heal h (50 µg·m−3).
Fo each s a ion, he days when he A ican dus con ibu ion is highe han a ce ain h eshold
(2
µ
g
·
m
−3
o PM10 and 1
µ
g
·
m
−3
o PM2.5) we e il e ed, and a daily mean con ibu ion was es ima ed,
aking in o accoun hose days only. Resul s a e p esen ed in Table 2 o PM10 and in Table 3 o PM2.5.
Table 2.
The numbe o days when he A ican dus con ibu ion o pa icles wi h an ae odynamic
diame e smalle han 10
µ
m (AD10) is highe han 2
µ
g
·
m
−3
and hei mean A ican dus concen a ions
(calcula ed acco ding o he P40 me hod). The day o he yea 2016 wi h he maximum A ican dus
con ibu ion is also iden i ied, as well as he con ibu ion i sel .
Moni o ing
S a ion
No. Days AD10
≥2µg·m−3
Daily Mean
Con ibu ion (µg·m−3)
Max Daily
Con ibu ion (µg·m−3)
Day o
Occu ence
FUN 71 15.6 81.8 13 Augus
MOV 48 15.5 77.0 13 Augus
CHA 70 16.3 76.1 22 Feb ua y
TER 79 18.9 160.9 22 Feb ua y
CER 68 12.2 54.0 21 Feb ua y
Table 3.
The numbe o days when he A ican dus con ibu ion o pa icles wi h an ae odynamic
diame e smalle han 2.5
µ
m (AD2.5) is highe han 1
µ
g
·
m
−3
and hei mean A ican dus concen a ions
(calcula ed acco ding o he P40 me hod). The day o he yea 2016 wi h he maximum A ican dus
con ibu ion is also iden i ied, as well as he con ibu ion i sel .
Moni o ing
S a ion
No. Days AD2.5
≥1µg·m−3
Daily Mean
Con ibu ion (µg·m−3)
Max Daily
Con ibu ion (µg·m−3)
Day o
Occu ence
FUN 48 10.7 56.2 13 Augus
CHA 72 8.8 44.4 13 Augus
TER 76 8.5 21.7 23 June
CER 63 8.3 99.7 22 Feb ua y
A mosphe e 2020,11, 134 8 o 21
A mosphe e 2020, 11, 134 8 o 23
.
Figu e 4. PM10 daily concen a ions (black line) and na u al con ibu ion as es ima ed by he o icial
me hod adop ed by he Po uguese En i onmen Agency (g een ba s).
Figu e 4.
PM10 daily concen a ions (black line) and na u al con ibu ion as es ima ed by he o icial
me hod adop ed by he Po uguese En i onmen Agency (g een ba s).
The highes daily mean con ibu ion o A ican dus o PM10 concen a ions occu s in TER, which
also has he highes numbe o days classi ied as impac ed by A ican dus wi h a con ibu ion highe
han 2
µ
g
·
m
−3
. In his s a ion, loca ed in inland Alen ejo, acco ding o he P40 me hodology, A ican
dus con ibu es, on a e age, wi h nea ly 19
µ
g
·
m
−3
o pa icles wi h an ae odynamic diame e smalle
han 10
µ
m, du ing he mos a ec ed 79 days by dese dus . The ac ha he daily mean con ibu ion
is lowe in CER (loca ed in Alga e) han in TER should be in e p e ed ca e ully, since CER has no
alid measu emen s du ing 22 Feb ua y.
A mosphe e 2020,11, 134 9 o 21
A mosphe e 2020, 11, 134 9 o 23
Figu e 5. PM2.5 daily concen a ions (black line) and na u al con ibu ion as es ima ed by he o icial
me hod adop ed by he Po uguese En i onmen Agency (g een ba s).
Fo each s a ion, he days when he A ican dus con ibu ion is highe han a ce ain h eshold
(2 µg.m−3 o PM10 and 1 µg.m−3 o PM2.5) we e il e ed, and a daily mean con ibu ion was
es ima ed, aking in o accoun hose days only. Resul s a e p esen ed in Table 2 o PM10 and in Table
3 o PM2.5.
Table 2. The numbe o days when he A ican dus con ibu ion o pa icles wi h an ae odynamic
diame e smalle han 10 µm (AD10) is highe han 2 µg.m−3 and hei mean A ican dus
concen a ions (calcula ed acco ding o he P40 me hod). The day o he yea 2016 wi h he maximum
A ican dus con ibu ion is also iden i ied, as well as he con ibu ion i sel .
Moni o ing
S a ion
No. Days
AD10 ≥ 2
µg.m−3
Daily Mean
Con ibu ion
(µg.m−3)
Max Daily
Con ibu ion
(µg.m−3)
Day o
Occu ence
FUN 71 15.6 81.8 13 Augus
MOV 48 15.5 77.0 13 Augus
CHA 70 16.3 76.1 22 Feb ua y
TER 79 18.9 160.9 22 Feb ua y
CER 68 12.2 54.0 21 Feb ua y
Figu e 5. PM2.5 daily concen a ions (black line) and na u al con ibu ion as es ima ed by he o icial
me hod adop ed by he Po uguese En i onmen Agency (g een ba s).
TER moni o ing s a ion also has he highes numbe o days classi ied as days impac ed by A ican
dus when he ac ion below 2.5
µ
m is conside ed and a con ibu ion highe han 1
µ
g
·
m
−3
is imposed.
Howe e , i egis e s he lowes maximum daily con ibu ion (abou 22
µ
g
·
m
−3
), which occu s on
23 June. Du ing 22 Feb ua y, al hough a con ibu ion o 161
µ
g
·
m
−3
is es ima ed a his s a ion o
he pa icles wi h an ae odynamic diame e smalle han 10
µ
m, a con ibu ion o 16
µ
g
·
m
−3
only is
es ima ed o he ac ion below 2.5
µ
m. Fo his ac ion (AD2.5), CER moni o ing s a ion has he
highes maximum daily con ibu ion (AD2.5 =100
µ
g
·
m
−3
), which is egis e ed du ing 22 Feb ua y.
The e is no PM10 a ailable da a du ing his day a CER. Howe e , AD2.5 es ima ed o his day is
highe han he maximum daily con ibu ion o PM10 es ima ed a his s a ion du ing he whole yea
(AD10 =54 µg·m−3, es ima ed o 21 Feb ua y).
In e ms o mean alues o A ican dus con ibu ion o PM2.5 ( aking in o accoun days wi h a
con ibu ion highe han 1
µ
g
·
m
−3
only), FUN has he highes mean alue (abou 11
µ
g
·
m
−3
). Howe e ,
his ac mus be aken ca e ully, since FUN has he lowes numbe o days wi h AD2.5
≥
1
µ
g
·
m
−3
,
and mean alues a e calcula ed o hose days only. This happens because, as illus a ed in Figu e 5,
FUN only has PM2.5 da a un il Sep embe (al hough he e a e alid obse a ions o PM10 du ing
he es o he yea ). Howe e , acco ding o Re e ence [
31
], and as seen in Figu e A1, he e a e s ill
31 po en ial days om Oc obe o Decembe ha could add o he 48 days iden i ied o AD2.5.
A mosphe e 2020,11, 134 16 o 21
A mosphe e 2020, 11, 134 17 o 23
.
Figu e 10. Compa ison be ween he A ican dus con ibu ions o PM10 ob ained by he wo di e en
me hodologies du ing 2016. Red poin s co espond o he pe iod 8–15 Augus . Pea son co ela ion
alues a e p esen ed, and we e calcula ed excluding he ed poin s.
Figu e 11. Compa ison be ween he A ican dus con ibu ions o PM2.5 ob ained by he wo di e en
me hodologies du ing 2016. Red poin s co espond o he pe iod 8–15 Augus . Pea son co ela ion
alues a e p esen ed, and we e calcula ed excluding he ed poin s.
The main di e ences in he esul s ob ained wi h he wo me hodologies happen in he i s hal
o Augus . Du ing his pe iod, a high con ibu ion o A ican dus o he pa icula e ma e o e
Po ugal is es ima ed by he P40 me hodology. In he moni o ing s a ions FUN and MOV, in he
Cen e o Po ugal, he maximum daily con ibu ion o A ican dus o PM10 le els o e he whole
yea 2016, is es ima ed du ing his pe iod (AD10 = 82 and 77 µg.m
−3
du ing 13 Augus , see Table 2).
Figu e 11.
Compa ison be ween he A ican dus con ibu ions o PM2.5 ob ained by he wo di e en
me hodologies du ing 2016. Red poin s co espond o he pe iod 8–15 Augus . Pea son co ela ion
alues a e p esen ed, and we e calcula ed excluding he ed poin s.
PM ob ained om model esul s co esponds o he PM concen a ion o he i s model laye ,
which is close o he su ace and has a hickness o abou 30 m. Al hough his heigh is much highe
han wha is ypically employed in measu emen s, his is how he model se up is ecommended when
pe o ming hese simula ions. Addi ionally, al hough he model e ical esolu ion (and he i s model
le el heigh ) can ha e a s ong impac on su ace concen a ions, ou es s show he a iabili y and
subsequen unce ain y o he esul s in oduced wi h his disc epancy be ween heigh le els is no he
main cause o he di e ences be ween he measu ed and modelled esul s.
The main di e ences in he esul s ob ained wi h he wo me hodologies happen in he i s hal o
Augus . Du ing his pe iod, a high con ibu ion o A ican dus o he pa icula e ma e o e Po ugal
is es ima ed by he P40 me hodology. In he moni o ing s a ions FUN and MOV, in he Cen e o
Po ugal, he maximum daily con ibu ion o A ican dus o PM10 le els o e he whole yea 2016,
is es ima ed du ing his pe iod (AD10 =82 and 77
µ
g
·
m
−3
du ing 13 Augus , see Table 2). The same
happens ega ding he con ibu ion o dese dus o PM2.5 concen a ions, wi h a con ibu ion o
56 and 44
µ
g
·
m
−3
es ima ed by he P40 me hod (see Table 3). Du ing hese days, model esul s indica e,
howe e , a small in luence o long- ange anspo om No h A ican dese s o he PM10 le els in
he sou h o Po ugal only (CER moni o ing s a ion, whe e a con ibu ion o abou 10
µ
g
·
m
−3
o dus
was calcula ed by he model on 15 Augus ). In he emaining egions and days, he con ibu ion o
A ican dus o PM le els o e Po ugal is almos negligible.
Du ing he i s hal o Augus , Po ugal ba led nume ous wild i es, mos ly in he Cen e and
No h o he coun y. Sa elli es began o de ec hose la ge numbe s o i es on 6 Augus . In he ollowing
days, he i es g ew mo e nume ous, and he amoun o smoke inc eased d ama ically (Figu e 12),
a ec ing se e ely ai quali y. Obse a ions om he AE osol RObo ic NETwo k (AERONET) (no
included in his publica ion) show ha on 13 Augus he ae osol loading was domina ed by pa icles
less han 1 mic on—which suppo s he claim ha a signi ican p opo ion o he ae osols on ha day
we e om o es i es. Con e sely, he da a om he 21s and 22nd Feb ua y show he opposi e.
When ex eme e en s, such as o es i es, occu simul aneously wi h he long- ange anspo o
dese dus , he P40 me hodology may lead o an o e es ima ion o he con ibu ion o A ican dus o

A mosphe e 2020,11, 134 17 o 21
PM le els. Mo eo e , he combina ion o dese dus episodes and o es i es is qui e common du ing
he summe in Po ugal. Du ing dese dus episodes, wa m and d y ai masses a e anspo ed o e
Po ugal, which a o he occu ence and g ow h o wild i es. Tha si ua ion occu ed du ing Augus
2016 and in Oc obe 2017 du ing he se e e o es i es in he Cen e and No h o Po ugal linked wi h
he Hu icane Ophelia [38].
Acco ding o he Eu opean guidelines, wild i es should also be conside ed a na u al cause whose
con ibu ion o PM10 and PM2.5 a mosphe ic le els may be sub ac ed when assessing compliance wi h
ai quali y limi alues. In his sense, he usage o he P40 me hodology is no p oblema ic. Howe e , o
assessmen pu poses, i is impo an o iden i y he cause o he e en . Fo ha , he cu en me hod does
no allow o dis inguish be ween na u al causes (o ex ao dina y an h opogenic e en s). The au ho s
ecommend complemen ing he cu en me hod wi h o he sou ces o da a, including he bes a ailable
model simula ions. The inclusion o addi ional ou inely eco ded obse a ions, including AERONET
and lida da a, could also assis wi h he iden i ica ion o na u al sou ces con ibu ing he mos o he
ae osol load.
A mosphe e 2020, 11, 134 18 o 23
The same happens ega ding he con ibu ion o dese dus o PM2.5 concen a ions, wi h a
con ibu ion o 56 and 44 µg.m−3 es ima ed by he P40 me hod (see Table 3). Du ing hese days, model
esul s indica e, howe e , a small in luence o long- ange anspo om No h A ican dese s o he
PM10 le els in he sou h o Po ugal only (CER moni o ing s a ion, whe e a con ibu ion o abou 10
µg.m−3 o dus was calcula ed by he model on 15 Augus ). In he emaining egions and days, he
con ibu ion o A ican dus o PM le els o e Po ugal is almos negligible.
Du ing he i s hal o Augus , Po ugal ba led nume ous wild i es, mos ly in he Cen e and
No h o he coun y. Sa elli es began o de ec hose la ge numbe s o i es on 6 Augus . In he
ollowing days, he i es g ew mo e nume ous, and he amoun o smoke inc eased d ama ically
(Figu e 12), a ec ing se e ely ai quali y. Obse a ions om he AE osol RObo ic NETwo k
(AERONET) (no included in his publica ion) show ha on 13 Augus he ae osol loading was
domina ed by pa icles less han 1 mic on—which suppo s he claim ha a signi ican p opo ion o
he ae osols on ha day we e om o es i es. Con e sely, he da a om he 21s and 22nd Feb ua y
show he opposi e.
(a) 7 Aug, 2016 13:10 UTC (b) 9 Aug, 2016 11:20 UTC
(c) 9 Aug, 2016 12:55 UTC (d) 10 Aug , 2016 12:00 UTC
Figu e 12. Con .
A mosphe e 2020,11, 134 18 o 21
A mosphe e 2020, 11, 134 19 o 23
(e) 12 Aug, 2016 11:50 UTC ( ) 13 Aug, 2016 13:25 UTC
Figu e 12. Sa elli e images cap u ed om 6 o 13 Augus 2016 by Te a/MODIS and SNPP/VIIRS,
showing ac i ely bu ning a eas (ou lined in ed) and associa ed smoke plumes.
When ex eme e en s, such as o es i es, occu simul aneously wi h he long- ange anspo
o dese dus , he P40 me hodology may lead o an o e es ima ion o he con ibu ion o A ican
dus o PM le els. Mo eo e , he combina ion o dese dus episodes and o es i es is qui e common
du ing he summe in Po ugal. Du ing dese dus episodes, wa m and d y ai masses a e
anspo ed o e Po ugal, which a o he occu ence and g ow h o wild i es. Tha si ua ion
occu ed du ing Augus 2016 and in Oc obe 2017 du ing he se e e o es i es in he Cen e and
No h o Po ugal linked wi h he Hu icane Ophelia [38].
Acco ding o he Eu opean guidelines, wild i es should also be conside ed a na u al cause
whose con ibu ion o PM10 and PM2.5 a mosphe ic le els may be sub ac ed when assessing
compliance wi h ai quali y limi alues. In his sense, he usage o he P40 me hodology is no
p oblema ic. Howe e , o assessmen pu poses, i is impo an o iden i y he cause o he e en . Fo
ha , he cu en me hod does no allow o dis inguish be ween na u al causes (o ex ao dina y
an h opogenic e en s). The au ho s ecommend complemen ing he cu en me hod wi h o he
sou ces o da a, including he bes a ailable model simula ions. The inclusion o addi ional ou inely
eco ded obse a ions, including AERONET and lida da a, could also assis wi h he iden i ica ion
o na u al sou ces con ibu ing he mos o he ae osol load.
4. Summa y and Conclusions
The impo ance o mine al dus con ibu ion o he o al ae osol mass obse ed in Po ugal
du ing 2016 was es ima ed by wo di e en app oaches: The o icial me hod adop ed by he
Po uguese En i onmen Agency ( he P40 me hod) and a model-based me hodology based on WRF-
CHIMERE simula ions. The esul s ob ained by bo h me hods o emo e a eas o Po ugal we e
compa ed.
Al hough he P40 me hod is based on mo ing a e age o measu emen s, i elies on dus models
o he selec ion o days iden i ied as impac ed by A ican dus . In Po ugal, he Po uguese
En i onmen Agency bases his selec ion in wo dus models: The BSC-DREAM8b and he SKIRON.
Then, he quan i ica ion o he dese dus con ibu ion in e ms o pa icles wi h ae odynamic
diame e s smalle han 10 and 2.5 µm is based on measu ed da a only.
In gene al, A ican dus con ibu ions ob ained wi h he P40 me hodology a e highe han he
ones simula ed by WRF-CHIMERE. Con ibu ions o PM10 concen a ions ange om 0 o 90 µg.m−3
in mos o he egions and days (TER is an excep ion, as a con ibu ion highe han 150 µg.m−3 is
es ima ed o 22 Feb ua y. Du ing his day, he la ges di e ence be ween es ima es occu , o mo e
han 100 µg.m−3—bo h implying, howe e , he su pass o he legisla ion. CER, loca ed in he
Figu e 12.
Sa elli e images cap u ed om 6 o 13 Augus 2016 by Te a/MODIS and SNPP/VIIRS,
showing ac i ely bu ning a eas (ou lined in ed) and associa ed smoke plumes.
4. Summa y and Conclusions
The impo ance o mine al dus con ibu ion o he o al ae osol mass obse ed in Po ugal
du ing 2016 was es ima ed by wo di e en app oaches: The o icial me hod adop ed by he Po uguese
En i onmen Agency ( he P40 me hod) and a model-based me hodology based on WRF-CHIMERE
simula ions. The esul s ob ained by bo h me hods o emo e a eas o Po ugal we e compa ed.
Al hough he P40 me hod is based on mo ing a e age o measu emen s, i elies on dus models o
he selec ion o days iden i ied as impac ed by A ican dus . In Po ugal, he Po uguese En i onmen
Agency bases his selec ion in wo dus models: The BSC-DREAM8b and he SKIRON. Then, he
quan i ica ion o he dese dus con ibu ion in e ms o pa icles wi h ae odynamic diame e s smalle
han 10 and 2.5 µm is based on measu ed da a only.
In gene al, A ican dus con ibu ions ob ained wi h he P40 me hodology a e highe han he
ones simula ed by WRF-CHIMERE. Con ibu ions o PM10 concen a ions ange om 0 o 90
µ
g
·
m
−3
in mos o he egions and days (TER is an excep ion, as a con ibu ion highe han 150
µ
g
·
m
−3
is
es ima ed o 22 Feb ua y. Du ing his day, he la ges di e ence be ween es ima es occu , o mo e han
100
µ
g
·
m
−3
—bo h implying, howe e , he su pass o he legisla ion. CER, loca ed in he sou he nmos
egion o Po ugal, has no measu emen s a ailable du ing his day). Excluding 22 Feb ua y (in CER),
A ican dus con ibu ions up o 30 µg·m−3a e ound o PM2.5 le els.
When o he ex eme e en s, such as o es i es, occu simul aneously wi h long- ange anspo
o dese dus , his me hodology may classi y he e en as a dese dus e en when ha is no he main
ac o a ec ing PM concen a ions (e.g., he con ibu ion o A ican dus o PM le els is o e es ima ed).
Mo eo e , he combina ion o dese dus episodes and o es i es is qui e common du ing he
summe in Po ugal, as happened in Augus 2016. The e o e, we ecommend complemen ing he P40
me hodology wi h o he sou ces o da a, including he bes a ailable model simula ions, in o de o
allow he iden i ica ion o he cause o he e en .
The esul s p esen ed in his s udy con i m ha dus is an abundan ype o na u al a mosphe ic
ae osol in he plane a y bounda y laye o e Po ugal. Acco ding o ou esul s, dese dus episodes
we e qui e equen du ing 2016. Thei in ensi y was a iable, wi h a leas wo e en s con ibu ing o
exceedances o he PM10 daily limi alue de ined in he Ai Quali y Di ec i e. Those se e e episodes
ook place du ing 21–22 Feb ua y and 27–28 Oc obe 2016, and ha e a ec ed he ai quali y in all he
egions s udied in his wo k.
A mosphe e 2020,11, 134 19 o 21
Au ho Con ibu ions:
Concep ualiza ion, C.G. and O.T.; Da a cu a ion, C.G.; Fo mal analysis, C.G.; Funding
acquisi ion, C.G. and O.T.; Me hodology, C.G. and A.M.; P ojec adminis a ion, O.T.; Resou ces, C.B.; So wa e, C.G.
and A.M.; Supe ision, C.P., J.M.B. and O.T.; Visualiza ion, C.G.; W i ing—o iginal d a , C.G.; W i ing— e iew
and edi ing, C.P., A.M., M.R., A.P.F. and O.T. All au ho s ha e ead and ag eed o he published e sion o
he manusc ip .
Funding:
This esea ch was unded by FCT – Po uguese Founda ion o Science and Technology and FEDER
(wi hin he PT2020 Pa ne ship Ag eemen and Compe e 2020), g an numbe s UID/AMB/50017 - POCI-
01-0145-FEDER-007638 (CESAM associa ed labo a o y), MIT-EXPL/IRA/0023/2017 (ISY-AIR esea ch p ojec ) and
POCI-01-0145-FEDER-029374 (ARTUR esea ch p ojec ).
Acknowledgmen s:
The au ho s acknowledge he Po uguese En i onmen Agency (APA) and he Regional
Coo dina ion and De elopmen Commissions (CCDRs) o hei e o in es ablishing and main aining he ai
quali y moni o ing si es used in his in es iga ion.
Con lic s o In e es : The au ho s decla e no con lic o in e es .
Appendix A
A mosphe e 2020, 11, 134 20 o 23
sou he nmos egion o Po ugal, has no measu emen s a ailable du ing his day). Excluding 22
Feb ua y (in CER), A ican dus con ibu ions up o 30 µg.m−3 a e ound o PM2.5 le els.
When o he ex eme e en s, such as o es i es, occu simul aneously wi h long- ange anspo
o dese dus , his me hodology may classi y he e en as a dese dus e en when ha is no he
main ac o a ec ing PM concen a ions (e.g., he con ibu ion o A ican dus o PM le els is
o e es ima ed). Mo eo e , he combina ion o dese dus episodes and o es i es is qui e common
du ing he summe in Po ugal, as happened in Augus 2016. The e o e, we ecommend
complemen ing he P40 me hodology wi h o he sou ces o da a, including he bes a ailable model
simula ions, in o de o allow he iden i ica ion o he cause o he e en .
The esul s p esen ed in his s udy con i m ha dus is an abundan ype o na u al a mosphe ic
ae osol in he plane a y bounda y laye o e Po ugal. Acco ding o ou esul s, dese dus episodes
we e qui e equen du ing 2016. Thei in ensi y was a iable, wi h a leas wo e en s con ibu ing
o exceedances o he PM10 daily limi alue de ined in he Ai Quali y Di ec i e. Those se e e
episodes ook place du ing 21–22 Feb ua y and 27–28 Oc obe 2016, and ha e a ec ed he ai quali y
in all he egions s udied in his wo k.
Au ho Con ibu ions: Concep ualiza ion, C.G. and O.T.; Da a cu a ion, C.G.; Fo mal analysis, C.G.; Funding
acquisi ion, C.G. and O.T.; Me hodology, C.G. and A.M.; P ojec adminis a ion, O.T.; Resou ces, C.B.; So wa e,
C.G. and A.M.; Supe ision, C.P., J.M.B. and O.T.; Visualiza ion, C.G.; W i ing—o iginal d a , C.G.; W i ing—
e iew and edi ing, C.P., A.M., M.R., A.P.F. and O.T. All au ho s ha e ead and ag eed o he published e sion
o he manusc ip .
Funding: This esea ch was unded by FCT – Po uguese Founda ion o Science and Technology and FEDER
(wi hin he PT2020 Pa ne ship Ag eemen and Compe e 2020), g an numbe s UID/AMB/50017 - POCI- 01-
0145-FEDER-007638 (CESAM associa ed labo a o y), MIT-EXPL/IRA/0023/2017 (ISY-AIR esea ch p ojec ) and
POCI-01-0145-FEDER-029374 (ARTUR esea ch p ojec ).
Acknowledgmen s: The au ho s acknowledge he Po uguese En i onmen Agency (APA) and he Regional
Coo dina ion and De elopmen Commissions (CCDRs) o hei e o in es ablishing and main aining he ai
quali y moni o ing si es used in his in es iga ion.
Con lic s o In e es : The au ho s decla e no con lic o in e es .
Appendix A
Figu e A1. Days iden i ied as impac ed by A ican dus by he Po uguese En i onmen Agency,
du ing 2016.
Figu e A1.
Days iden i ied as impac ed by A ican dus by he Po uguese En i onmen Agency,
du ing 2016.
Re e ences
1.
Cha ou sidou, S.E.; Kopanakis, I.; Lagou a dos, K.; Mihalopoulos, N.; Tø se h, K.; Laza idis, M. PM10 le els
a u ban, subu ban, and backg ound loca ions in he eas e n Medi e anean: Local e sus egional sou ces
wi h emphasis on A ican dus . Ai Qual. A mos. Heal h 2019,12, 1359–1371. [C ossRe ]
2.
Gama, C.; Tchepel, O.; Baldasano, J.M.; Basa , S.; Fe ei a, J.; Pio, C.; Ca doso, J.; Bo ego, C. Seasonal
pa e ns o Saha an dus o e Cape Ve de-a combined app oach using obse a ions and modelling. Tellus B
2015,67. [C ossRe ]
3.
Ba mpadimos, I.; Kelle , J.; Ode bolz, D.; Hueglin, C.; P
é
ô
, A.S.H. One decade o pa allel ine (PM2.5) and
coa se (PM10–PM2.5) pa icula e ma e measu emen s in Eu ope: T ends and a iabili y. A mos. Chem.
Phys. 2012,12, 3189–3203. [C ossRe ]
4.
Gama, C.; Mon ei o, A.; Pio, C.; Mi anda, A.I.; Baldasano, J.M.; Tchepel, O. Tempo al pa e ns and ends
o pa icula e ma e o e Po ugal: A long- e m analysis o backg ound concen a ions. Ai Qual. A mos.
Heal h 2018,11, 397–407. [C ossRe ]
A mosphe e 2020,11, 134 20 o 21
5.
Eu opean Union. Es ablishing Guidelines o Demons a ion and Subs ac ion o Exceedances A ibu able
o Na u al Sou ces Unde he Di ec i e 2008/50/EC on Ambien Ai Quali y and Cleane Ai o Eu ope.
In Eu opean Comission Comission S a Wo king Pape ; Eu opean Union: B ussels, Belgium, 2011.
6.
Escude o, M.; Que ol, X.; Pey, J.; Alas uey, A.; P
é
ez, N.; Fe ei a, F.; Alonso, S.; Rod
í
guez, S.; Cue as, E.
A me hodology o he quan i ica ion o he ne A ican dus load in ai quali y moni o ing ne wo ks.
A mos. En i on. 2007,41, 5516–5524. [C ossRe ]
7.
Gano , E.; S upp, A.; Alpe , P. A me hod o de e mine he e ec o mine al dus ae osols on ai quali y.
A mos. En i on. 2009,43, 5463–5468. [C ossRe ]
8.
Viana, M.; Sal ado , P.; A
í
ñano, B.; Que ol, X.; Alas uey, A.; Pey, J.; La z, A.J.; Cabañas, M.; Mo eno, T.;
Ga c
í
a Dos San os, S.; e al. Assessing he pe o mance o me hods o de ec and quan i y a ican dus in
ai bo ne pa icula es. En i on. Sci. Technol. 2010,44, 8814–8820. [C ossRe ]
9.
G
ó
mez-Losada, A.; Pi es, J.C.M.; Pino-Mej
í
as, R. Time se ies clus e ing o es ima ing pa icula e ma e
con ibu ions and i s use in quan i ying impac s om dese s. A mos. En i on.
2015
,117, 271–281. [C ossRe ]
10.
Ba naba, F.; Bolignano, A.; Di Libe o, L.; Mo elli, M.; Luca elli, F.; Na a, S.; Pe ino, C.; Canepa i, S.;
Basa , S.; Cos abile, F.; e al. Dese dus con ibu ion o PM10 loads in I aly: Me hods and ecommenda ions
add essing he ele an Eu opean Commission Guidelines in suppo o he Ai Quali y Di ec i e 2008/50.
A mos. En i on. 2017,161, 288–305. [C ossRe ]
11.
Basa , S.; P
é
ez, C.; Nicko ic, S.; Cue as, E.; Baldasano, J.M. De elopmen and e alua ion o he BSC-
DREAM8b dus egional model o e No he n A ica, he Medi e anean and he Middle Eas . Tellus B
2012
,
64. [C ossRe ]
12.
Kallos, G.; Nicko ic, S.; Papadopoulos, A.; Jo ic, D.; Kakaliagou, O.; Misi lis, N.; Boukas, L.; Mimikou, N.;
Sakella idis, G.; Papageo giou, J.; e al. The egional wea he o ecas ing sys em SKIRON: An o e iew.
In P oceedings o he In e na ional Symposium on Regional Wea he P edic ion on Pa allel Compu e
En i onmen s, A hens, G eece, 15–17 Oc obe 1997; pp. 109–122.
13.
Schmech ig, C.; Ma ico ena, B.; Cha ene , B.; Be game i, G.; Rajo , J.L.; Coman, A. Simula ion o he mine al
dus con en o e Wes e n A ica om he e en o he annual scale wi h he CHIMERE-DUST model. A mos.
Chem. Phys. 2011,11, 7185–7207. [C ossRe ]
14.
P
é
ez, C.; Haus ein, K.; Janjic, Z.; Jo ba, O.; Huneeus, N.; Baldasano, J.M.; Black, T.; Basa , S.; Nicko ic, S.;
Mille , R.L.; e al. An online mine al dus ae osol model o meso o global scales: Model desc ip ion, annual
simula ions and e alua ion. A mos. Chem. Phys. 2011,11, 13001–13027. [C ossRe ]
15.
Skama ock, W.C.; Klemp, J.B.; Dudhia, J.; Gill, D.O.; Ba ke , M.; Duda, K.G.; Huang, X.Y.; Wang, W.;
Powe s, J.G. A Desc ip ion o he Ad anced Resea ch WRF Ve sion 3; Technical Repo ; Na ional Cen e o
A mosphe ic Resea ch: Boulde , CO, USA, 2008.
16.
Menu , L.; Bessagne , B.; Kh o os yano , D.; Beekmann, M.; Blond, N.; Cole e, A.; Coll, I.; Cu ci, G.; Fo e , G.;
Hodzic, A.; e al. CHIMERE 2013: A model o egional a mosphe ic composi ion modelling. Geosci. Model.
De . 2013,6, 981–1028. [C ossRe ]
17.
Mon ei o, A.; Mi anda, A.I.; Bo ego, C.; Vau a d, R. Ai quali y assessmen o Po ugal. Sci. To al En i on.
2007,373, 22–31. [C ossRe ] [PubMed]
18.
Ma hias, V. The ae osol dis ibu ion in Eu ope de i ed wi h he Communi y Mul iscale Ai Quali y (CMAQ)
model: Compa ison o nea su ace in si u and sunpho ome e measu emen s. A mos. Chem. Phys.
2008
,8,
5077–5097. [C ossRe ]
19.
Pay, M.T.; Pio , M.; Jo ba, O.; Gass
ó
, S.; Gonçal es, M.; Basa , S.; Dabdub, D.; Jim
é
nez-Gue e o, P.;
Baldasano, J.M. A ull yea e alua ion o he CALIOPE-EU ai quali y modeling sys em o e Eu ope o
2004. A mos. En i on. 2010,44, 3322–3342. [C ossRe ]
20.
Basa , S.; Pay, M.T.; Jo ba, O.; P
é
ez, C.; Jim
é
nez-Gue e o, P.; Schulz, M.; Baldasano, J.M. Ae osols in he
CALIOPE ai quali y modelling sys em: E alua ion and analysis o PM le els, op ical dep hs and chemical
composi ion o e Eu ope. A mos. Chem. Phys. 2012,12, 3363–3392. [C ossRe ]
21.
Maille , S.; Menu , L.; Kh o os yano , D.; Vala i, M.; Cou ida , F.; Siou , G.; Tu que y, S.; B ian , R.; Tuccella, P.;
Bessagne , B.; e al. Chime e-2017: F om u ban o hemisphe ic chemis y- anspo modeling. Geosci. Model.
De . 2017,10, 2397–2423. [C ossRe ]
22.
Szopa, S.; Fo e , G.; Menu , L.; Cozic, A. Impac o la ge scale ci cula ion on eu opean summe su ace ozone
and consequences o modelling o ecas . A mos. En i on. 2009,43, 1189–1195. [C ossRe ]
A mosphe e 2020,11, 134 21 o 21
23.
Ginoux, P.; Chin, M.; Tegen, I.; P ospe o, J.; Holben, B.; Dubo ik, O.; Lin, S. Sou ces and dis ibu ions o dus
ae osols simula ed wi h he GOCART model. J. Geophys. Res. A mos. 2001,106, 20255–20273. [C ossRe ]
24.
EMEP/CEIP 2019. Emissions as Used in EMEP Models. A ailable online: h ps://www.ceip.a /ms/ceip_
home1/ceip_home/webdab_emepda abase/emissions_emepmodels/(accessed on 15 No embe 2019).
25.
Guen he , A.; Ka l, T.; Ha ley, P.; Wiedinmye , C.; Palme , P.I.; Ge on, C. Es ima es o global e es ial
isop ene emissions using MEGAN (Model o Emissions o Gases and Ae osols om Na u e). A mos. Chem.
Phys. 2006,6, 3181–3210. [C ossRe ]
26.
Monahan, E.C.; Spiel, D.E.; Da idson, K.L. A Model o Ma ine Ae osol Gene a ion Via Whi ecaps and Wa e
Dis up ion. In Oceanic Whi ecaps; Monahan, E.C., Niocaill, G.M., Eds.; Sp inge : Do d ech , The Ne he lands,
1986.
27.
Ma ico ena, B.; Be game i, G. Modeling he a mosphe ic dus cycle. 1. Design o a soil-de i ed dus
emission scheme. J. Geophys. Res. A mos. 1995,100, 16415–16430. [C ossRe ]
28.
Al a o, S.C.; Gomes, L. Modeling mine al ae osol p oduc ion by wind e osion: Emission in ensi ies and
ae osol size dis ibu ions in sou ce a eas. J. Geophys. Res. A mos. 2001,106, 18075–18084. [C ossRe ]
29.
Taylo , K. Summa izing mul iple aspec s o model pe o mance in a single diag am. J. Geophys. Res. A mos.
2001,106, 7183–7192. [C ossRe ]
30.
Russo, M.A.; Gama, C.; Mon ei o, A. How does upg ading an emissions in en o y a ec ai quali y
simula ions? Ai Qual. A mos. Heal h 2019,12, 731–741. [C ossRe ]
31.
Ag
ê
ncia Po uguesa do Ambien e. Iden i icaç
ã
o e A aliaç
ã
o da Oco
ê
ncia de E en os de
Â
mbi o Na u al em
Po ugal em 2016, Rela
ó
io Anual; Po uguese En i onmen Agency: Lisboa, Po ugal, 2017; A ailable online:
h ps://apambien e.p /_zda a/DAR/A /Rela o io_E en os%20Na u ais_2016_ 20170914.pd (accessed on
15 No embe 2019).
32.
D axle , R.; Hess, G. An o e iew o he HYSPLIT_4 modelling sys em o ajec o ies, dispe sion and
deposi ion. Aus . Me eo ol. Mag. 1998,47, 295–308.
33.
Rod
í
guez, S.; Que ol, X.; Alas uey, A.; Kallos, G.; Kakaliagou, O. Saha an dus con ibu ion o PM10 and
TSP le els in Sou he n and Eas e n Spain. A mos. En i on. 2001,35, 2433–2447. [C ossRe ]
34.
Gama, C.; Ribei o, I.; Lange, A.C.; Vogel, A.; Ascenso, A.; Seixas, V.; Elbe n, H.; Bo ego, C.; F iese, E.;
Mon ei o, A. Pe o mance assessmen o CHIMERE and EURAD-IM’ dus modules. A mos. Pol. Res.
2019
,
10, 1336–1346. [C ossRe ]
35.
Mon ei o, A.; Fe nandes, A.P.; Gama, C.; Bo ego, C.; Tchepel, O. Assessing he mine al dus om No h
A ica o e Po ugal egion using BSC-DREAM8b model. A mos. Pol. Res. 2015,6, 70–81. [C ossRe ]
36.
Escude o, M.; Cas illo, S.; Que ol, X.; A ila, A.; Ala c
ó
n, M.; Viana, M.M.; Alas uey, A.; Cue as, E.;
Rod
í
guez, S. We and d y A ican dus episodes o e eas e n Spain. J. Geophys. Res.
2005
,110, D18S08.
[C ossRe ]
37.
Rod
í
guez, S.; Alas uey, A.; Alonso-P
é
ez, S.; Que ol, X.; Cue as, E.; Ab eu-A onso, J.; Viana, M.; P
é
ez, N.;
Pandol i, M.; de la Rosa, J. T anspo o dese dus mixed wi h No h A ican indus ial pollu an s in he
sub opical Saha an Ai Laye . A mos. Chem. Phys. 2011,13, 6663–6685. [C ossRe ]
38.
Osbo ne, M.; Mala elle, F.F.; Adam, M.; Buxmann, J.; Sugie , J.; Ma enco, F.; Haywood, J. Saha an dus
and biomass bu ning ae osols du ing ex-hu icane Ophelia: Obse a ions om he new UK lida and
sun-pho ome e ne wo k. A mos. Chem. Phys. 2019,19, 3557–3578. [C ossRe ]
©
2020 by he au ho s. Licensee MDPI, Basel, Swi ze land. This a icle is an open access
a icle dis ibu ed unde he e ms and condi ions o he C ea i e Commons A ibu ion
(CC BY) license (h p://c ea i ecommons.o g/licenses/by/4.0/).