scieee Science in your language
[en] (orig)

Quantification of Groundwater Hazards Related to Fluvial Floods via Groundwater Flow Modelling: A Review

Abstract

Flood-related issues include the impact of groundwater on flood protection measures and other subsurface structures in a protected area. At the same time, subsurface elements of flood protection structures may significantly influence the natural groundwater regime and affect existing structures during non-flood periods. The paper provides an overview of hazardous factors linked to groundwater and specifies variables for the quantification of related hazards. Appropriate hydraulic groundwater flow models are presented and discussed, and their suitability for the modelling of individual typical problems and for hazard quantification is specified. The use of models and the application of CAD and GIS tools for data pre- and post-processing is mentioned in brief and demonstrated on examples of typical practical situations.

Read accessible full text

Quantification of Groundwater Hazards Related to Fluvial Floods via Groundwater Flow Modelling: A Review

Author: Říha, Jaromír; Julínek, Tomáš; Duchan, David
Publisher: MDPI
Year: 2023
DOI: 10.3390/w15061145
Source: https://dspace.vut.cz/bitstreams/ad95fd4c-95e0-43f1-b7a4-fc37b956387b/download
Ci a ion: ˇ
Ríha, J.; Julínek, T.;
Duchan, D. Quan i ica ion o
G oundwa e Haza ds Rela ed o
Flu ial Floods ia G oundwa e Flow
Modelling: A Re iew. Wa e 2023,15,
1145. h ps://doi.o g/10.3390/
w15061145
Academic Edi o : Ryan Bailey
Recei ed: 17 Feb ua y 2023
Re ised: 7 Ma ch 2023
Accep ed: 11 Ma ch 2023
Published: 15 Ma ch 2023
Copy igh : © 2023 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 ps://
c ea i ecommons.o g/licenses/by/
4.0/).
wa e
Re iew
Quan i ica ion o G oundwa e Haza ds Rela ed o Flu ial
Floods ia G oundwa e Flow Modelling: A Re iew
Ja omí ˇ
Ríha , Tomáš Julínek * and Da id Duchan
Ins i u e o Wa e S uc u es, Facul y o Ci il Enginee ing, B no Uni e si y o Technology,
602 00 B no, Czech Republic
*Co espondence: julinek. @ u b .cz
Abs ac :
Flood- ela ed issues include he impac o g oundwa e on lood p o ec ion measu es and
o he subsu ace s uc u es in a p o ec ed a ea. A he same ime, subsu ace elemen s o lood
p o ec ion s uc u es may signi ican ly in luence he na u al g oundwa e egime and a ec exis ing
s uc u es du ing non- lood pe iods. The pape p o ides an o e iew o haza dous ac o s linked o
g oundwa e and speci ies a iables o he quan i ica ion o ela ed haza ds. App op ia e hyd aulic
g oundwa e low models a e p esen ed and discussed, and hei sui abili y o he modelling o
indi idual ypical p oblems and o haza d quan i ica ion is speci ied. The use o models and
he applica ion o CAD and GIS ools o da a p e- and pos -p ocessing is men ioned in b ie and
demons a ed on examples o ypical p ac ical si ua ions.
Keywo ds:
modelling; g oundwa e ; lood p o ec ion; g oundwa e looding; g oundwa e haza ds
1. In oduc ion
Inc eased wa e s ages du ing lood e en s can signi ican ly a ec he egime o
g oundwa e low in aqui e s adjacen o i e s. The ise o he wa e le el in a wa e cou se
du ing a lood esul s in empo a y in il a ion along he banks o he i e and seepage
p opaga ion in o he aqui e in he opposi e di ec ion o ha o no mal low. The piezome -
ic le el ises and may cause wha has been e med a “g oundwa e lood” [
1
,
2
], which may
endange bo h lood p o ec ion elemen s and subsu ace pa s o s uc u es in p o ec ed
u banized a eas [
3
–
5
]. This e ec may esul in he wa e logging o e ain behind lood
p o ec ion ba ie s [6–8].
Du ing he las decades, se e al ex eme loods ook place in Cen al Eu ope. In Ma ch
and Ap il o 2006, loods occu ed due o long- e m p ecipi a ion combined wi h snow
mel ing. In July 1997, Augus 2002, and June 2013, loods ook place as a esul o pe sis en
ain all in la ge a eas [
9
,
10
]. Du ing hese e en s, g oundwa e looding happened a mos
o he a ec ed locali ies p o ec ed by he lood p o ec ion sys ems. Fo example, in he
illage o T oubky, a signi ican di e ence be ween he wa e le el in he i e and he
e ain behind he FPM caused wa e logging o he en i e illage a ea. On he con a y,
pe manen wa e logging occu ed in P ague-Zb asla due o he cons uc ion o he FPM
wi h deep subsu ace pa s ha blocked he na u al d ainage o he Vl a a Ri e .
In he case o he cons uc ion o lood con ol wo ks, hei subsu ace pa s may also
a ec he na u al g oundwa e egime du ing non- lood pe iods, du ing which g oundwa-
e mo es om highe loca ions owa ds s eams which d ain adjacen aqui e s [
11
]. He e,
main aining ee communica ion be ween he i e and aqui e is essen ial o , in e alia,
main aining base low in s eams [
12
–
14
]. The e o e, seepage ba ie s such as cu -o walls
and g ou cu ains should be designed o be pa ially pene able.
Fac o s such as geological composi ion (including an h opogenic laye s), he his o ical
de elopmen o owns in lood plains, i e egula ion (including lood p o ec ion s uc-
u es), quay walls, he d ainage o g oundwa e in o sewe age, e c., ha e o be aken in o
Wa e 2023,15, 1145. h ps://doi.o g/10.3390/w15061145 h ps://www.mdpi.com/jou nal/wa e
Wa e 2023,15, 1145 2 o 23
accoun when assessing g oundwa e e ec s and ela ed haza ds. P ac ically all o he
men ioned ac o s may be implemen ed in o powe ul g oundwa e low models. Cu en
ma hema ical modelling me hods [
15
] and exis ing so wa e enable use s o assess he
impac o lood p o ec ion measu es and hei subsu ace elemen s on he ounda ions o
lood p o ec ion s uc u es and buildings in p o ec ed a eas unde a na u al egime, as well
as du ing lood e en s. Hyd aulic calcula ions allow he e alua ion and quan i ica ion o
lood haza ds and hei ep esen a ion using powe ul compu e g aphics so wa es.
When e alua ing he isks associa ed wi h g oundwa e e ec s, he ulne abili y o
a ec ed s uc u es mus be aken in o accoun and compa ed wi h co esponding haza ds.
The po en ial damages and losses mus be es ima ed as well. Al hough g oundwa e
looding usually does no esul in losses o human li e o heal h, i may cause signi ican
ma e ial losses. Finally, he p obabili y o inciden mus be inco po a ed in o he isk
analysis. The p ope design o subsu ace pa s o lood p o ec ion ba ie s may signi ican ly
educe g oundwa e induced haza d and isk.
The a e o seepage p opaga ion depends on aqui e pa ame e s such as s o a i i y,
ansmissi i y, po osi y, sa u a ion o he soil, e c., which should be de e mined by in e se
modelling echniques [
16
–
19
]. The “calib a ion p ocess” depends on simula ion condi ions
(s eady-s a e o ansien ) and he aqui e ype (con ined o uncon ined). Nume ous
app oaches ha e been applied, such as pa icle swa m op imiza ion [
20
], gene ic algo i hms
o di e en ial e olu ion [17], nonlinea eg ession [21], o clonal selec ion algo i hms [22].
Fo he in e p e a ion o inpu da a and modelling esul s, mapping echniques based
on GIS ools, applica ions, and da abases on wa e esou ces (including g oundwa e issues)
ha e been applied [
23
]. E en i emo e-sensing and GIS echniques ha e expe ienced apid
de elopmen in ecen decades [
24
–
28
], hei applica ions o de ailed analysis in he a eas
behind lood p o ec ion measu es a e e y limi ed. Iden ical ools a e also a ailable o
web-based solu ions o g oundwa e low, and he analysis o g oundwa e sou ces and
pollu ion isk [
23
,
29
–
31
]. Cloud-based decision suppo sys ems ha e been p esen ed by
Jones e al. [
32
] based on ecen and his o ic wa e da a, including in e ac i e mapping
capabili ies. A nume ical model o g oundwa e low and he anspo o ma e comple ely
in eg a ed in a web en i onmen was desc ibed by Glass e al. [33].
Unlike lu ial i e looding and su ace wa e looding, g oundwa e lood isk maps
a e no commonly a ailable o he public. G oundwa e isk mapping amewo ks a e
howe e p esen ed, e.g., by Collins e al. [
34
] o Me chán-Ri e a [
35
]. Haza d maps o
upli due o ising g oundwa e du ing loods ha e been p esen ed by Julínek e al. [36].
Mos o he a ailable s udies deal wi h pa icula g oundwa e - ela ed issues, such as
g oundwa e looding [
1
,
37
] o combined modelling in ol ing lu ial looding in e ac ion
wi h g oundwa e low [
34
,
38
–
42
], haza ds in ka s ic lowlands [
43
], and o he s, while he e
is a lack o mo e comp ehensi e summa ies o g oundwa e e ec s in ela ion o loods and
lood p o ec ion measu es (FPM). This pape p o ides a lis o haza dous ac o s ela ed o
he g oundwa e egime du ing lood e en s, speci ies a iables o haza d quan i ica ion,
and p oposes app op ia e modelling echniques. Indi idual ypical cases a e demons a ed
o locali ies in he Czech Republic based on abou 50 case s udies ca ied ou in he egion.
The au ho s hus con ibu e o he isk analysis o g oundwa e ela ed issues du ing he
lood and no- lood pe iods, p o iding classi ica ion and quan i ica ion me hods o haza d
de e mina ion. The link be ween g oundwa e low modelling and ela ed haza ds is
de e mined as well.
2. Me hods
2.1. Ra ionale
The g oundwa e p oblems ela ed o lu ial loods and lood p o ec ion measu es a e
qui e complex. In Figu e 1, a diag am o g oundwa e low du ing a lu ial ( i e ) lood is
shown o a si ua ion wi hou (A) and wi h (B) lood p o ec ion measu es such as le ees
o loodwalls. I can be seen ha in he case o no FPM wi h wa e inunda ion, he po e
p essu e in he aqui e is compensa ed by he weigh o o e banked lood wa e . A e
Wa e 2023,15, 1145 3 o 23
ins alling FPM, he p essu e in he aqui e ha usually ac s on he bed o he ela i ely
impe ious opsoil laye may exceed i s weigh , which may cause upli ailu e o he opsoil
behind he lood p o ec ion a angemen s [
36
]. Such an impac can esul in a haza d bo h
o p o ec i e elemen s and o he subsu ace pa s o s uc u es (e.g., cella s, subsu ace
ga ages, e c.) in he p o ec ed e i o y. The h ea is posed by he ise o he piezome ic
head in he aqui e , by he wa e p essu e on he unde g ound pa s o ci il s uc u es, and
by he seepage below he FPM, which ia inc eased hyd aulic g adien s, may cause in e nal
e osion o he soil close o he ounda ions o lood p o ec ion s uc u es [
44
]. Seepage in o
he p o ec ed a ea is also un a ou able du ing a lood; i inc eases he amoun o “inne
wa e ” ha mus be pumped back in o he s eam (g oundwa e looding). When dealing
wi h haza ds ela ed o g oundwa e e ec s du ing he loods, in con ex wi h clima e
changes, one mus conside an expec ed highe in ensi y o lu ial loods, i.e., highe peak
discha ges and lood du a ions [45].
Wa e 2023, 15, x FOR PEER REVIEW 3 o 25
le ees o loodwalls. I can be seen ha in he case o no FPM wi h wa e inunda ion, he
po e p essu e in he aqui e is compensa ed by he weigh o o e banked lood wa e .
A e ins alling FPM, he p essu e in he aqui e ha usually ac s on he bed o he ela-
i ely impe ious opsoil laye may exceed i s weigh , which may cause upli ailu e o
he opsoil behind he lood p o ec ion a angemen s [36]. Such an impac can esul in a
haza d bo h o p o ec i e elemen s and o he subsu ace pa s o s uc u es (e.g., cella s,
subsu ace ga ages, e c.) in he p o ec ed e i o y. The h ea is posed by he ise o he
piezome ic head in he aqui e , by he wa e p essu e on he unde g ound pa s o ci il
s uc u es, and by he seepage below he FPM, which ia inc eased hyd aulic g adien s,
may cause in e nal e osion o he soil close o he ounda ions o lood p o ec ion s uc-
u es [44]. Seepage in o he p o ec ed a ea is also un a ou able du ing a lood; i inc eases
he amoun o “inne wa e ” ha mus be pumped back in o he s eam (g oundwa e
looding). When dealing wi h haza ds ela ed o g oundwa e e ec s du ing he loods,
in con ex wi h clima e changes, one mus conside an expec ed highe in ensi y o lu ial
loods, i.e., highe peak discha ges and lood du a ions [45].
On he o he hand, du ing a non- lood pe iod, he subsu ace impe ious elemen s o
FPM may cause damming o g oundwa e in he aqui e behind he FPM, wi h an un a ou -
able inc ease in he piezome ic head pe manen ly a ec ing he subsu ace pa s o ci il s uc-
u es in he a ea, o e en wi h wa e logging o he e ain on he p o ec ed loodplain.
Figu e 1. G oundwa e low du ing a lood. (A) no lood p o ec ion, (B) lood p o ec ion. Blue
a ows ep esen wa e low di ec ion, ed a ows change o wa e able/piezome ic head.
Figu e 1.
G oundwa e low du ing a lood. (
A
) no lood p o ec ion, (
B
) lood p o ec ion. Blue a ows
ep esen wa e low di ec ion, ed a ows change o wa e able/piezome ic head.
On he o he hand, du ing a non- lood pe iod, he subsu ace impe ious elemen s
o FPM may cause damming o g oundwa e in he aqui e behind he FPM, wi h an un-
a ou able inc ease in he piezome ic head pe manen ly a ec ing he subsu ace pa s o ci il
s uc u es in he a ea, o e en wi h wa e logging o he e ain on he p o ec ed loodplain.
Wa e 2023,15, 1145 4 o 23
2.2. Haza dous Si ua ions
A haza d is de ined as a si ua ion wi h he po en ial o cause undesi able e ec s.
He e, his is induced by he ac ion o g oundwa e on FPM elemen s and on he p o ec ed
e i o y. The ollowing si ua ions may occu :
Du ing a lood e en :
•
Flood p o ec ion s uc u es a e subjec ed o o ces ac ing on hei subsu ace pa s.
In addi ion o ea h p essu e, o ces caused by he g oundwa e unde lowing he
ounda ions mus be aken in o accoun . The mos c i ical ho izon al (F
h
) and e ical
(F ) wa e p essu e o ces a e shown in Figu e 2a.
•
An inc ease in he piezome ic head in he con ined aqui e behind he FPM may esul
in upli ac ing on impe ious lu ial opsoil (Figu e 2b). Simila ly, p essu e due o he
inc ease o he g oundwa e le el (piezome ic head) may a ec he subsu ace pa s
o he buildings wi h deep ounda ions (Figu e 2c). Such upli can cause up u es
in he opsoil and buildings, esul ing in localized concen a ed leakage, signi ican
de o ma ion o ounda ion slabs, o e en global s uc u al ins abili y. This may also
ini ia e wa e logging o he objec s (Figu e 2d).
•
In cases when pe meable soils c op ou o he e ain, seepage may occu behind he
FPM. This causes loading o soils by a p essu e g adien , which may esul in he in e nal
e osion o suscep ible soils (Figu e 2d) in he o m o ex e nal su usion o boiling. These
p ocesses in he p og ession phase may o en endange he s abili y o he FPM.
•
In case o long- e m loods, in combina ion wi h he pe meable aqui e , wa e logging
o he a ea behind he FPM may occu due o seepage on o he e ain (Figu e 2d).
Du ing a non- lood pe iod,
he undesi able e ec o impe ious elemen s such as
slu y walls may mani es i sel :
•
Damming o he g oundwa e le el (GWL) in an aqui e behind he FPM (Figu e 3a)
may cause a signi ican pe manen ise o g oundwa e le els, esul ing in wa e log-
ging o subsu ace pa s o buildings in he a ea.
•
I g oundwa e esou ces occu behind he FPM, impe ious subsu ace elemen s may
block he na u al bank in il a ion om a i e and hus de e io a e he wa e sou ce,
espec i e o a dec ease he yield o wells (Figu e 3b). This may also esul in a signi ican
dec ease o GWL in he p o ec ed a ea and cause unaccep able o e loading o wells.
A lis o po en ial haza ds caused by changes in he g oundwa e egime due o
looding and he FPM is summa ized in Table 1. In Table 1, he change o he g oundwa e
egime is sho - e m ( empo a y om hou s o single weeks) du ing he lood acco ding o
lood du a ion and long- e m in cases when subsu ace elemen s o he FPM pe manen ly
a ec he g oundwa e low.
Table 1. Lis o po en ial haza ds caused by a change in he g oundwa e egime.
Pe iod Haza d Po en ial Consequences
Flood
Tempo a y inc eased wa e p essu e on subsu ace
pa s o FPM Loss o s abili y o FPM, looding o p o ec ed a ea
Tempo a y inc eased wa e p essu e on aqui e opsoil
behind FPM
Collapse o opsoil laye , in e nal e osion o subbase soil,
collapse o FPM
Tempo a y ise o wa e able/piezome ic head in
p o ec ed e i o y, seepage behind FPM on e ain,
inc eased hyd aulic g adien s below FPM
Soil ins abili y due o seepage, in e nal e osion, loss o
s abili y o FPM
Tempo a y ise o wa e able in p o ec ed e i o y Tempo a y wa e logging o e ain behind FPM
No
lood
Pe manen ise o g oundwa e able/piezome ic head,
damming due o subsu ace elemen s o FPM
Pe manen wa e logging o e ain and s uc u es behind
FPM, inc eased p essu e on unde g ound pa s o s uc u es
Pe manen educ ion o bank in il a ion due o
impe meable subsu ace pa s o FPM
Reduc ion o wa e ex ac ed om g oundwa e esou ces,
g oundwa e le el d awdown, o e loading o wells
Wa e 2023,15, 1145 5 o 23
Wa e 2023, 15, x FOR PEER REVIEW 5 o 25
Figu e 2. Haza ds du ing a lood: (a) load on he ounda ions o he FPM, (b) upli on he opsoil
laye , (c) loading o he subsu ace pa s o ci il s uc u es behind he FPM, (d) seepage on o e ain,
wa e logging, in e nal e osion o soils due o high hyd aulic g adien s behind he FPM.
Figu e 2.
Haza ds du ing a lood: (
a
) load on he ounda ions o he FPM, (
b
) upli on he opsoil
laye , (
c
) loading o he subsu ace pa s o ci il s uc u es behind he FPM, (
d
) seepage on o e ain,
wa e logging, in e nal e osion o soils due o high hyd aulic g adien s behind he FPM.

Wa e 2023,15, 1145 6 o 23
Wa e 2023, 15, x FOR PEER REVIEW 6 o 25
Figu e 3. Haza ds du ing a non- lood pe iod: (a) damming o he g oundwa e on he p o ec ed
a ea side, (b) e ec on he yield o g oundwa e sou ces o subsu ace pa s o he FPM.
Table 1. Lis o po en ial haza ds caused by a change in he g oundwa e egime.
Pe iod Haza d Po en ial Consequences
Flood
Tempo a y inc eased wa e p essu e on subsu -
ace pa s o FPM Loss o s abili y o FPM, looding o p o ec ed a ea
Tempo a y inc eased wa e p essu e on aqui e
opsoil behind FPM
Collapse o opsoil laye , in e nal e osion o sub-
base soil, collapse o FPM
Tempo a y ise o wa e able/piezome ic head
in p o ec ed e i o y, seepage behind FPM on
e ain, inc eased hyd aulic g adien s below FPM
Soil ins abili y due o seepage, in e nal e osion, loss
o s abili y o FPM
Tempo a y ise o wa e able in p o ec ed e i-
o y Tempo a y wa e logging o e ain behind FPM
No lood
Pe manen ise o g oundwa e able/piezome ic
head, damming due o subsu ace elemen s o
FPM
Pe manen wa e logging o e ain and s uc u es
behind FPM, inc eased p essu e on unde g ound
pa s o s uc u es
Pe manen educ ion o bank in il a ion due o
impe meable subsu ace pa s o FPM
Reduc ion o wa e ex ac ed om g oundwa e e-
sou ces, g oundwa e le el d awdown, o e load-
ing o wells
Figu e 3.
Haza ds du ing a non- lood pe iod: (
a
) damming o he g oundwa e on he p o ec ed a ea
side, (b) e ec on he yield o g oundwa e sou ces o subsu ace pa s o he FPM.
2.3. Haza d Quan i ica ion
Today, he quan i ica ion o indi idual haza d cha ac e is ics is ca ied ou p edom-
inan ly by g oundwa e low models. The a iables ob ained as a esul o hyd aulic
modelling a e:
•piezome ic head h;
•
wa e p essu e p, ho izon al (F
h
) and e ical (F
) wa e p essu e o ces ac ing on he
su ace o subsu ace s uc u es, opsoil laye , and he FPM;
•
p essu e, o hyd aulic g adien (g ad p, g ad h), which ac s on he soil as a olume ic
o ce and may cause i s in e nal ins abili y;
•
wa e logging o he a ea is quan i ied by he a ec ed a ea A, whe e wa e seeps
on o e ain;
•seepage amoun Qwhen dealing wi h pumped wa e om wells.
Gene ally, all haza d quan i ie s a e a unc ion o he loca ion (coo dina es) and ime.
The spa io empo al ields o espec i e a iables (p,h, g ad p, g ad h, e c.) a e de e mined by
nume ical modelling. A mo e de ailed desc ip ion o he models can be ound in Sec ion 3.
2.4. Da a Acquisi ion
To ensu e accu a e modelling, i is c ucial o acqui e ele an da a ha may di e
om hose needed o analysing o he ypes o loods. The geological s uc u e and
hyd ogeological p ope ies o he a ea o in e es a e o u mos impo ance, which may no
hold ue o “su ace” loods. A b ie o e iew o he indi idual da a equi ed and hei
acquisi ion is p esen ed below.
Wa e 2023,15, 1145 7 o 23
Geog aphic and geode ic da a desc ibe e ain le els and p o ide in o ma ion abou
s uc u es wi hin he s udied a ea. The e ain le els a e e icien ly ob ained ia he
combina ion o Digi al Te ain Models (DTM) wi h mo e accu a e geode ic land su eying.
The da a abou s uc u es should include he shape o subsu ace s uc u es, including he
ounda ion dep h (le el), and p e e ably he ype and ma e ial o he s uc u e. O special
in e es a e linea condui s such as sewe s o la ge diame e s, in eg a ed pipe galle ies,
unde g ound ailway lines, e c.
FPM design p ojec s ( loodwalls, lood le ees) should be inco po a ed in o e ain
geome y. Subsu ace elemen s such as slu y o cu -o walls and d ainage sys ems mus
be aken in o accoun .
Geological and hyd ogeological da a gained om geological su eying should p o ide
in o ma ion on local geological condi ions and s uc u es. Hyd ogeological in o ma ion
should include a desc ip ion o he g oundwa e egime ( low di ec ion and amoun ,
piezome ic le el in he aqui e , seepage amoun ), pe meabili y alues, and s o age cha ac-
e is ics. These da a a e aken om he moni o ing o obse a ion bo eholes, om pumping
es s, and possibly om he de e mina ion o soil p ope ies (g ain size dis ibu ion, po os-
i y, uni o mi y, e c.).
Hyd ological and hyd aulic da a should speci y wa e le els in su ace wa e bodies
( i e s, lakes), bo h du ing he non- lood pe iod and du ing loods, in he o m o lood
hyd og aphs. The wa e le els which ep esen bounda y condi ions o seepage low a e
equen ly de e mined by open channel hyd aulics me hods.
Addi ional da a should be ob ained o p o ide in o ma ion abou exis ing wa e wells,
pumping amoun s, o he ag icul u al d ainage sys ems, e c.
Mos o he da a a e usually a ailable om adminis a i e bodies ha p o ide da a
o he public, including geological se ices and a chi es, hyd ological se ices, and i e
au ho i ies. In mos cases, he equi ed da a ha e a spa ial cha ac e and may be linked o
spa ial coo dina es. Fo hei analysis, p e-p ocessing, and ep esen a ion, he use o CAD
and/o GIS ools is ecommended.
Unce ain ies in such inpu da a p oduce unce ain ies in he modelling esul s. These
a e discussed in Sec ion 3.6.
3. G oundwa e Flow Modelling
Nume ical g oundwa e low modelling has been a s anda d discipline in con inuum
mechanics since he ea ly 1970s [
15
,
46
]. As he physical backg ound, assump ions, and
ma hema ical o mula ion a e su icien ly desc ibed and discussed in he ele an li e a u e,
his ex con ains only a b ie desc ip ion and he gene al cha ac e is ics o indi idual
models, wi h a ocus on hei use in p ac ical applica ions.
3.1. Modelling P ocedu e and Types o Models
To assess he haza ds men ioned in Sec ion 2, models o he low in he sa u a ed
zone a e p e e en ially used. The modelling p ocedu e comp ises a se o he ollowing
s anda d s eps:
•
The desc ip ion o a eal sys em whe e he a ea o in e es is iden i ied, and manage-
men p oblems and po en ial haza ds a e o mula ed.
•
The objec i es o modelling ha e o be ca e ully de ined oge he wi h expec ed ou comes
(see Sec ion 2). This in ol es he analysis o bo h lood and non- lood si ua ions.
•
The concep ual model consis s o a se o assump ions ela ed o he geome y, shape,
and bounda ies o he domain, as well as aqui e ma e ials and hei p ope ies (homo-
genei y, iso opy, po osi y, hyd aulic conduc i i y, comp essibili y, e c.). Acco ding o
he expec ed cha ac e o he low, he dimension and ime egime (s eady, ansien )
o he model a e de ined (Table 2).
•
The ma hema ical o mula ion (model) is ep esen ed by a se o go e ning equa ions,
plus ini ial and bounda y condi ions.
Wa e 2023,15, 1145 8 o 23
•
The compu e code app op ia e o he p oblem solu ion has o be selec ed [
47
–
49
].
P e- and pos - p ocessing a e necessa y pa s o he da a analysis, p epa a ion, and
p esen a ion. To his end, enginee ing app oaches a e combined wi h e icien pos -
p ocessing me hods which enable he display o spa ial and empo al da a using CAD
sys ems and hema ic maps wi hin GIS ools.
•
The nume ical model should be subjec o calib a ion and e i ica ion based on da a
om g oundwa e le el obse a ions and pumping amoun measu emen s. The
calib a ed and e i ied model may be used o he simula ion o scena ios ha answe
posed ques ions and achie e de ined objec i es.
Table 2. Summa y o he applica ion o g oundwa e low models.
P oblem Type o Model Solu ion Me hod
p elimina y assessmen o he p opaga ion
o a lood wa e in o an aqui e 1D— ansien analy ical me hods o simpli ied bounda y
and ini ial condi ions, nume ical me hods
complex spa ial assessmen o lood wa e
p opaga ion in o a la ge aqui e , assessmen o
piezome ic head and p essu e in he aqui e ,
assessmen o local s abili y o he opsoil and
s uc u es behind FPM, delimi a ion
o wa e logged a eas
2Dh— ansien nume ical me hods
assessmen o he e ec o subsu ace elemen s o
FPM du ing non- lood pe iods, changes in he yield
o a ec ed wa e sou ces, piezome ic head and
p essu e in an aqui e , assessmen o he s abili y o
s uc u es behind FPM, haza d o wa e logging
2Dh—s eady s a e nume ical me hods
de ailed assessmen o he local condi ions in he
icini y o FPM, s abili y o FPM and o he
s uc u es o he peak lood wa e le el scena io,
assessmen o non- lood scena ios
2D —s eady s a e nume ical me hods
solu ions a places wi h complex geome ical
condi ions and a gene al low di ec ion, such as FPM
ha c oss subsu ace condui s, unnels, e c.
3D—s eady s a e nume ical me hods
Fo he solu ion o indi idual cases, he selec ion o an app op ia e ype o model is
c ucial. This conce ns he simpli ica ion o assump ions ela ed o he spa ial and ime
dimensions o he model. The ollowing model ypes may be dis inguished:
•
one-dimensional (1D) g oundwa e low model o cases whe e pa allel seepage in
a la aqui e wi h small hyd aulic g adien s is expec ed (Dupui assump ion)— his
model may be used o bo h con ined and uncon ined aqui e s;
•
wo-dimensional model in he ho izon al plane (2Dh) applicable o la ge and complex
aqui e s wi h small hyd aulic g adien s (Dupui assump ion)— his model may be
used o bo h con ined and uncon ined aqui e s;
•
wo-dimensional model in he e ical plane (2D ), which can be used o pa allel
low wi h signi ican a ia ion in low di ec ion in he e ical plane, bo h o con ined
low and low wi h a ph ea ic su ace;
• h ee-dimensional model (3D) o low bo h in con ined and uncon ined condi ions.
All o he models men ioned abo e may be concei ed as s eady (s a iona y) o dynamic
( ansien ) acco ding o he na u e and egime o seepage. Gene ally, low in he sa u a ed
zone is he subjec o analysis.
In p ac ical cases, he sequence o models used is usually as ollows:
•p elimina y analysis is ca ied ou using a 1D model;
•complex analysis o lood p opaga ion o he aqui e using a ansien 2Dh model;
•
modelling o he condi ions du ing a non- lood pe iod using a s eady s a e 2Dh model;
Wa e 2023,15, 1145 9 o 23
•de ailed analysis o condi ions a he FPM using a s eady s a e 2D model;
•
i necessa y, he de ailed s eady s a e 3D modelling o singula i ies, whe e no dimen-
sional app oxima ions exis , may be conside ed.
3.2. One-Dimensional Model
A one-dimensional ansien model may be used o p elimina y calcula ions a a
small hyd aulic g adien ( he Dupui heo em) and wi h app oxima ely pa allel low. I can
be used o he analysis o he p opaga ion o a lood wa e in o an aqui e du ing a lood.
The go e ning equa ion holds [50]:
∂
∂xT∂h
∂x−S·
∂h
∂ +q=0 (1)
whe e Tis aqui e ansmissi i y (T=k
·
b o con ined aqui e s, T=k
·
H o uncon ined
aqui e s), kis hyd aulic conduc i i y, bis he hickness o he con ined aqui e , and His he
wa e dep h o he uncon ined aqui e . Sis he s o a i i y, which in he case o he con ined
aqui e is equal o he speci ic s o age mul iplied by aqui e hickness b, while in he case o
he uncon ined aqui e , i co esponds o he speci ic yield [
15
], and qis he linea sou ce
(e.g., in il a ion a he uncon ined aqui e ).
The bounda y condi ion (BC) exp esses he known (p esc ibed) piezome ic head
du ing a lood (Di ichle BC):
h(x, )=h(x, )(2)
Fo he ini ial condi ions, i holds ha :
h(x,0)=h0(x)(3)
The ime-dependen bounda y condi ions (2) a he i e side comes om he wa e
s ages du ing a lood, which a e de i ed om open channel hyd aulics o measu emen s
a gauging s a ions. The se ing o he bounda y condi ion and i s loca ion a he d y
side o he FPM is mo e complica ed. I is ecommended ha i be ixed su icien ly a
om he i e o elimina e i s in luence on he a ea close o he FPM. Ano he op ion
in nume ical modelling is o p o ide he compu a ional ( ini e elemen , ini e di e ence)
elemen s adjacen o he BC wi h smalle hyd aulic conduc i i y o a enua e hei e ec on
he seepage condi ions in he aqui e close o he FPM.
The esul o he calcula ions is he piezome ic head, o ph ea ic su ace, as a unc ion
o he ho izon al coo dina e xand ime . In his model, he p essu es, he hyd aulic, and
p essu e g adien s de i ed om piezome ic heads a e no ele an o u he de ailed
analysis and he assessmen o he consequences o single s uc u es. As men ioned abo e,
his model se es p edominan ly o p o ide p elimina y in o ma ion abou he p og ession
o a lood o an aqui e .
1D modelling, due o he e y small compu a ion ime in ol ed, o en includes he
sensi i i y analysis o inpu pa ame e s such as hyd aulic conduc i i y and s o a i i y,
and is also pe o med wi h he aim o se ing he dis ance o he d y-land bounda y
condi ion. The 1D model p o ides he i s idea abou he g oundwa e egime which is o
be in es iga ed in mo e complex models. I enables he se ing o bounda y condi ions and
gi es in o ma ion abou he mos un a ou able combina ion o inpu pa ame e s. I also
enables he p elimina y calib a ion o model pa ame e s i da a om g oundwa e egime
measu emen s a e a ailable.
An example conce ning he ime e olu ion o he piezome ic head in an aqui e adjacen
o he Vl a a Ri e in P ague du ing a lood in 2002 can be seen in Figu es 4and 5. I can
be seen ha he peak piezome ic head ollows he peak o he wa e le el in he Vl a a
Ri e (bounda y condi ion), wi h a ce ain deg ee o a enua ion and ime shi . The a e o
p opaga ion depends on he hyd aulic conduc i i y o he aqui e and on he s o a i i y. As
a ule, in he case o an uncon ined aqui e , he seepage p opaga ion is conside ably slowe
Wa e 2023,15, 1145 16 o 23
Wa e 2023, 15, x FOR PEER REVIEW 18 o 25
Figu e 9. Con ou s o he piezome ic head in a c oss sec ion o FPM.
Figu e 10. Hyd aulic g adien s in a c oss sec ion o FPM (same as Figu e 9). A ows ep esen
g oundwa e low di ec ion.
3.5. 3D Model
3D models a e used pa icula ly o sol ing complica ed de ails whe e he app oxi-
ma ions men ioned abo e a e no accep able. Fo he assessmen o lood p o ec ion
measu es and o he a ec ed s uc u es, i is usually su icien o apply a s eady-s a e so-
lu ion co esponding o he mos un a ou able condi ions selec ed o indi idual scena -
ios. The go e ning equa ion o aniso opic and nonhomogeneous ma e ials holds:
𝜕
𝜕𝑥𝑘𝜕ℎ
𝜕𝑥+𝜕
𝜕𝑦𝑘𝜕ℎ
𝜕𝑦+𝜕
𝜕𝑧𝑘𝜕ℎ
𝜕𝑧=0
(13)
Bounda y condi ions a e analogical o he 2D model. Di ichle BC:
Figu e 9. Con ou s o he piezome ic head in a c oss sec ion o FPM.
Wa e 2023, 15, x FOR PEER REVIEW 18 o 25
Figu e 9. Con ou s o he piezome ic head in a c oss sec ion o FPM.
Figu e 10. Hyd aulic g adien s in a c oss sec ion o FPM (same as Figu e 9). A ows ep esen
g oundwa e low di ec ion.
3.5. 3D Model
3D models a e used pa icula ly o sol ing complica ed de ails whe e he app oxi-
ma ions men ioned abo e a e no accep able. Fo he assessmen o lood p o ec ion
measu es and o he a ec ed s uc u es, i is usually su icien o apply a s eady-s a e so-
lu ion co esponding o he mos un a ou able condi ions selec ed o indi idual scena -
ios. The go e ning equa ion o aniso opic and nonhomogeneous ma e ials holds:
𝜕
𝜕𝑥𝑘𝜕ℎ
𝜕𝑥+𝜕
𝜕𝑦𝑘𝜕ℎ
𝜕𝑦+𝜕
𝜕𝑧𝑘𝜕ℎ
𝜕𝑧=0
(13)
Bounda y condi ions a e analogical o he 2D model. Di ichle BC:
Figu e 10.
Hyd aulic g adien s in a c oss sec ion o FPM (same as Figu e 9). A ows ep esen
g oundwa e low di ec ion.
3.5. 3D Model
3D models a e used pa icula ly o sol ing complica ed de ails whe e he app oxima-
ions men ioned abo e a e no accep able. Fo he assessmen o lood p o ec ion measu es and
o he a ec ed s uc u es, i is usually su icien o apply a s eady-s a e solu ion co esponding
o he mos un a ou able condi ions selec ed o indi idual scena ios. The go e ning equa ion
o aniso opic and nonhomogeneous ma e ials holds:
∂
∂xkx
∂h
∂x+∂
∂yky
∂h
∂y+∂
∂zkz
∂h
∂z=0 (13)

Wa e 2023,15, 1145 17 o 23
Bounda y condi ions a e analogical o he 2D model. Di ichle BC:
h(x,y,z)=h(x,y,z)(14)
A he bounda y wi h p esc ibed lux, he Neumann condi ion holds:
kx
∂h
∂xnx+ky
∂h
∂yny+kz
∂h
∂znz=qp(15)
On he ph ea ic su ace wi h a s eady s a e low, wo bounda y condi ions may be
applied. The i s one may be exp essed as ollows:
h(x,y,z)=zp(x,y)(16)
while he second one co esponds o Equa ion (15) wi h qp= 0.
A he seepage ace, BC has he o m:
h(x,y,z)=zs(x,y)(17)
Mos compu e codes sol e ph ea ic low seepage using he concep o an unsa u a ed
zone, whe e he sa u a ed domain co esponds o he po e p essu es p
≥
p
a
, whe e p
a
is
a mosphe ic p essu e, o p
≥
0 i he a mosphe ic p essu e is used as he e e ence p essu e.
As men ioned abo e, 3D models a e used in cases whe e dimensional simpli ica ions
a e no easible. The e is a la ge a ie y o p ac ical si ua ions whe e he low di ec ion
is qui e gene al and simple models (1D, 2Dh, 2D ) a e no applicable. Such low may
occu in complex geological condi ions combined wi h spa ially a iable ci il s uc u es
in e e ing wi h he low domain [
53
–
55
]. Due o he la ge numbe o compu a ional nodes
in a 3D model, he low domain size is usually minimized while bounda y condi ions a e
de e mined by a p elimina y simpli ied analysis using 2D models. Du ing modelling, i is
easible o di ide he low domain in o homogeneous blocks (mac oelemen s; see Figu e 11),
and o apply he compu a ional mesh (e.g., ini e elemen s) la e on.
Wa e 2023, 15, x FOR PEER REVIEW 20 o 25
Figu e 11. Diag am o laye ed 3D mac oelemen s. Di e en colou s ep esen soil laye s in e aces.
(a) (b)
Figu e 12. Compa ison o piezome ic heads on he base o a su ace laye : (a)—only impe ious
opsoil, (b)—an h opogenic laye on he su ace. Blue ellipse indica es de ail o a le ee wi h he
descending unnel amp shown in Figu e 13.
Figu e 11. Diag am o laye ed 3D mac oelemen s. Di e en colou s ep esen soil laye s in e aces.
Wa e 2023,15, 1145 18 o 23
The ollowing example conce ns he complex seepage low below he le ee, which
in e e es wi h subsu ace elemen s o he unnel c ossing he Vl a a i e (P ague) and
g adually ises ou o he e ain in he p o ec ed a ea behind he le ee. In Figu e 11, a laye ed
scheme o mac oelemen s is depic ed. These mac oelemen s co espond o geological and
cons uc ion laye s and a e u he meshed by ini e elemen s wi h a size o 0.5 m, which
ensu es he accu acy o he esul s is su icien . Figu e 12 shows a compa ison o piezome ic
heads o a ious geological condi ions, i.e., an aqui e o e laid by ela i ely impe ious
opsoil (a) and su ace laye s consis ing o an h opogenic back ill (b). In Figu e 13, a de ail o
a le ee wi h a descending unnel is depic ed o scena io (b).
Wa e 2023, 15, x FOR PEER REVIEW 20 o 25
Figu e 11. Diag am o laye ed 3D mac oelemen s. Di e en colou s ep esen soil laye s in e aces.
(a) (b)
Figu e 12. Compa ison o piezome ic heads on he base o a su ace laye : (a)—only impe ious
opsoil, (b)—an h opogenic laye on he su ace. Blue ellipse indica es de ail o a le ee wi h he
descending unnel amp shown in Figu e 13.
Figu e 12.
Compa ison o piezome ic heads on he base o a su ace laye : (
a
)—only impe ious
opsoil, (
b
)—an h opogenic laye on he su ace. Blue ellipse indica es de ail o a le ee wi h he
descending unnel amp shown in Figu e 13.
Wa e 2023, 15, x FOR PEER REVIEW 21 o 25
Figu e 13. De ail o a le ee wi h he descending unnel amp; scena io B acco ding o Figu e 12.
3.6. Discussion o Unce ain ies
In case o g oundwa e low modelling, unce ain ies ela e pa icula ly o:
• The geological composi ion o he a ea, such as he hickness o indi idual laye s (aq-
ui e , opsoil, e c.), which is usually de i ed om a limi ed numbe o bo eholes o
pi s;
• limi ed unde s anding abou o e all hyd ogeological and hyd ological condi ions,
i.e., ime-dependen g oundwa e low egime, he di ec ion and amoun o g ound-
wa e low, in lows and in il a ion o an aqui e — he unce ain ies a e go e ned by
he ex en o moni o ing ne wo k and equency o eadings;
• he knowledge abou geological and hyd ogeological p ope ies o opsoil and aqui-
e soils, namely g anulome y, po osi y, hyd aulic conduc i i y, and s o a i i y,
which a e de i ed om labo a o y and ield es ing, bu in many cases only use em-
pi ical o mulae supplemen ed by single hyd aulic es s (pumping es s);
• he a e o in e ac ion be ween he i e and aqui e , which may be in luenced by
local clogging;
• bounda y condi ions, bo h a he i e side and behind he FPM, a e de i ed om
lood hyd og aphs which a e no ou inely s a is ically assessed in e ms o hei
shape and lood olume;
• in il a ion a es du ing he simula ed e en .
While he geome ical cha ac e is ics o he geological laye s may di e in me es
( ens o %), pe meabili y and s o age cha ac e is ics may be subjec o deg ees o unce -
ain y ha a e o en e y la ge (se e al o de s). To educe he e ec o unce ain ies, he
ollowing echniques may be ecommended.
A sensi i i y analysis is ecommended o assessing how unce ain ies in inpu a i-
ables in luence unce ain ies in ou pu a iables. Some imes he impac o pa ame e s
such as hyd aulic conduc i i y, ansmissi i y, s o a i i y, e c., may be quali a i ely es i-
ma ed om he go e ning equa ions.
The eliabili y o a model may be signi ican ly inc eased by ca e ul calib a ion and
e i ica ion. Du ing he calib a ion, a unique se o model pa ame e s is ound ha p o-
ides a good desc ip ion o he sys em’s beha iou , i.e., ag eemen wi h he piezome ic
head, yields, and o he a iables measu ed in he ield.
A gene al enginee ing app oach is o se “sensi i e” cha ac e is ics and pa ame e s
so as o ensu e conse a i e (“sa e”) esul s a e ob ained. Fo example, he a e o he ise
in he piezome ic head in he aqui e is g ea e wi h highe hyd aulic conduc i i y ( ans-
missi i y) and smalle s o a i i y.
Figu e 13. De ail o a le ee wi h he descending unnel amp; scena io B acco ding o Figu e 12.
Wa e 2023,15, 1145 19 o 23
I is ob ious ha he in e p e a ion o 3D esul s is di icul and should be p ocessed
ia laye s (Figu e 12) and selec ed sec ions (Figu e 13) o he 3D domain. He e, he p e- and
pos -p ocessing abili y o he compu ed code (e.g., [49]) is c ucial.
3.6. Discussion o Unce ain ies
In case o g oundwa e low modelling, unce ain ies ela e pa icula ly o:
•
The geological composi ion o he a ea, such as he hickness o indi idual laye s (aqui e ,
opsoil, e c.), which is usually de i ed om a limi ed numbe o bo eholes o pi s;
•
limi ed unde s anding abou o e all hyd ogeological and hyd ological condi ions, i.e.,
ime-dependen g oundwa e low egime, he di ec ion and amoun o g oundwa e
low, in lows and in il a ion o an aqui e — he unce ain ies a e go e ned by he
ex en o moni o ing ne wo k and equency o eadings;
•
he knowledge abou geological and hyd ogeological p ope ies o opsoil and aqui e
soils, namely g anulome y, po osi y, hyd aulic conduc i i y, and s o a i i y, which
a e de i ed om labo a o y and ield es ing, bu in many cases only use empi ical
o mulae supplemen ed by single hyd aulic es s (pumping es s);
•
he a e o in e ac ion be ween he i e and aqui e , which may be in luenced by
local clogging;
•
bounda y condi ions, bo h a he i e side and behind he FPM, a e de i ed om lood
hyd og aphs which a e no ou inely s a is ically assessed in e ms o hei shape and
lood olume;
•in il a ion a es du ing he simula ed e en .
While he geome ical cha ac e is ics o he geological laye s may di e in me es ( ens
o %), pe meabili y and s o age cha ac e is ics may be subjec o deg ees o unce ain y
ha a e o en e y la ge (se e al o de s). To educe he e ec o unce ain ies, he ollowing
echniques may be ecommended.
A sensi i i y analysis is ecommended o assessing how unce ain ies in inpu a i-
ables in luence unce ain ies in ou pu a iables. Some imes he impac o pa ame e s such
as hyd aulic conduc i i y, ansmissi i y, s o a i i y, e c., may be quali a i ely es ima ed
om he go e ning equa ions.
The eliabili y o a model may be signi ican ly inc eased by ca e ul calib a ion and
e i ica ion. Du ing he calib a ion, a unique se o model pa ame e s is ound ha p o ides
a good desc ip ion o he sys em’s beha iou , i.e., ag eemen wi h he piezome ic head,
yields, and o he a iables measu ed in he ield.
A gene al enginee ing app oach is o se “sensi i e” cha ac e is ics and pa ame e s
so as o ensu e conse a i e (“sa e”) esul s a e ob ained. Fo example, he a e o he
ise in he piezome ic head in he aqui e is g ea e wi h highe hyd aulic conduc i i y
( ansmissi i y) and smalle s o a i i y.
Be e in o ma ion on he e ec o unce ain ies can be p o ided by he applica ion
o in e al algeb a o by s a is ical modelling p ocedu es. Howe e , in g oundwa e low
modelling, he s ochas ic modelling app oach has no ye become a ool used ou inely by
modelle s on a egula basis [
56
]. This is mos ly due o he insu icien and poo geological
and hyd ogeological da a ha is a ailable. In he case o s ochas ic s udies, only single
pa ame e s a e conside ed o be unce ain [57].
The simpli ica ions o model dimensions and dynamics a e ela ed o he na u e o
he p oblem, he aims o modelling, and he shape and a angemen o he low domain.
Special a en ion should be paid o he analysis, g aphical p esen a ion, and in e p e a ion
o haza ds using con empo a y GIS and CAD sys ems. These a e summa ized in Table 3.
Wa e 2023,15, 1145 20 o 23
Table 3. Lis o po en ial haza ds caused by a change in g oundwa e egime.
Pe iod Haza d In e p e a ion Figu e
Flood
Inc eased wa e p essu e on
subsu ace pa s o FPM and
s uc u es behind FPM,
de ailed analysis
Map o p essu e head, sa e y ac o ,
c oss sec ions wi h piezome ic
con ou s, p essu e diag ams
Figu es 2a,c, 5,8and 9
Inc eased wa e p essu e on aqui e
opsoil behind FPM
Flood wa e p opaga ion diag ams,
maps o piezome ic head, upli
p essu es, sa e y ac o
Figu es 2b, 4,5,6,7a, 8,
12 and 13
Rise o piezome ic head in p o ec ed
a ea, seepage on e ain
Flood wa e p opaga ion diag ams,
c oss sec ion wi h piezome ic
con ou s and hyd aulic g adien s
Figu es 4,5,9and 10
Tempo a y ise o wa e able in
p o ec ed e i o y
Flood wa e p opaga ion diag ams,
map o maximum piezome ic head
di e ences, map o wa e logged a ea
Figu es 4,5and 6a
No lood
Rise o g oundwa e
able/piezome ic head, damming
due o subsu ace pa s o FPM
Map o piezome ic head di e ences
and e ain, di e ences be o e and
a e cons uc ion o FPM
Figu es 6b and 7
Pe manen educ ion o bank
in il a ion due o
impe meable/semipe meable
subsu ace pa s o FPM
Map o di e ences in
ph ea ic/piezome ic su ace, c oss
sec ion h ough wells, d op in yield
Figu es 3,6b, and 7b,c
4. Conclusions
The pape summa izes he p oblems and echniques ela ed o he modelling o
g oundwa e low impac s and haza ds ela ed o lu ial loods.
Two ypical scena ios a e discussed, namely a lood si ua ion and a non- lood pe iod. In
all cases, he s uc u al sa e y o he FPM and a ec ed ci il s uc u es mus be gua an eed.
Expe ience shows ha when inhabi an s a e a ec ed, non- lood pe iods a e mo e sensi i e
han ela i ely sho pe iods o looding. This namely conce ns cases when wa e logging
and simila ha m o inhabi an s and ci il s uc u es may occu . In hese cases, he modelling
esul s should be “sa e ” and echnical p oposals mo e obus . Mo eo e , in u ban a eas,
echnical measu es o en in e e e wi h exis ing in as uc u e placed alongside i e s, such as
oads, subsu ace wa e and sewe mains (Figu e 9), elec ic linings, op ical ib e cables, e c.
The p esen ed s udy aims o ill he gap in a igo ous classi ica ion o g oundwa e
haza ds due o lu ial loods and he a angemen o he FPM. The no el y o he s udy lies
in a o malised analysis o he echnical aspec s o g oundwa e haza ds ela ed o loods.
I can be seen ha lood-p o ec ion p oblems ela ed o g oundwa e a e based on
adi ional g oundwa e low modelling echniques. Howe e , special si e-speci ic ap-
p oaches a e necessa y in he case o haza d iden i ica ion and quan i ica ion, he selec ion
o an app op ia e g oundwa e low model, and he p esen a ion and in e p e a ion o
modelling esul s.
Based on he esul s ob ained, echnical measu es o he a enua ion o haza ds can be
p oposed, such as he app op ia e ype and a angemen o slu y walls, FPM ounda ions,
d ainage sys ems, e c.
The pape summa izes expe ience ob ained o e 30 yea s o g oundwa e low mod-
elling ela ed o he FPM design and assessmen in he e i o y o he Czech Republic,
Slo akia, and Aus ia.
Au ho Con ibu ions:
J.ˇ
R.: Concep ualiza ion, Me hodology, Supe ision, W i ing—o iginal d a ,
alida ion; T.J.: Concep ualiza ion, Fo mal analysis, In es iga ion, Mapping, W i ing—o iginal d a
and edi ing; D.D.: In es iga ion, Valida ion, Mapping, W i ing— e iew and edi ing. All au ho s ha e
ead and ag eed o he published e sion o he manusc ip .
Wa e 2023,15, 1145 21 o 23
Funding:
This esea ch was unded by he Technology Agency o he Czech Republic, p ojec
numbe TH4030087 and In e nal g an agency o he B no Uni e si y o Technology, p ojec numbe
FAST-S-23-8233.
Da a A ailabili y S a emen : No applicable.
Con lic s o In e es :
The au ho s decla e no con lic o in e es . The unde s had no ole in he design
o he s udy; in he collec ion, analyses, o in e p e a ion o da a; in he w i ing o he manusc ip ; o
in he decision o publish he esul s.
Re e ences
1.
Robins, N.S.; Finch, J.W. G oundwa e lood o g oundwa e -induced lood? Q. J. Eng. Geol. Hyd ogeol.
2012
,45, 119–121.
[C ossRe ]
2. CIRIA. The In e na ional Le ee Handbook; U.S. A my. Co ps o Enginee s: Washing on, DC, USA, 2013; 1332p.
3.
Mi oslaw-Swia ek, D.; Popielski, P.; Sliwinski, P.; Cwalina, T.; Sku nik, Z. Analysis o ac o s in luencing le ee sa e y using he
DEMATEL me hod. PLoS ONE 2021,16, e0255755. [C ossRe ] [PubMed]
4.
MacDonald, D.; Dixon, A.; Newell, A.; Hallaways, A. G oundwa e looding wi hin an u banised lood plain. J. Flood Risk Manag.
2012,5, 68–80. [C ossRe ]
5. Zhou, Y.; Li, W. A e iew o egional g oundwa e low modelling. J. Geosci. F on . 2011,2, 205–214. [C ossRe ]
6.
MacDonald, D.M.J.; Bloom ield, J.P.; Hughes, A.G.; MacDonald, A.M.; Adams, B.; McKenzie, A.A. Imp o ing he unde s anding
o he isk om g oundwa e looding in he UK. In P oceedings o he Flood isk 2008, Eu opean Con e ence on Flood Risk
Managemen , Ox o d, UK, 30 Sep embe –2 Oc obe 2008; CRC P ess: Leiden, The Ne he lands.
7.
En i onmen Agency. Making Space o Wa e , G oundwa e Flood Reco ds Colla ion, Moni o ing and Risk Assessmen ; Ex ended
Repo (Chalk Aqui e s), Jacobs, Repo o En i onmen Agency; En i onmen Agency: B is ol, UK, 2006; 187p.
8.
Adams, B.; Bloom ield, J.P.; Gallaghe , A.J.; Jackson, C.R.; Ru e , H.K.; Williams, A.T. An ea ly wa ning sys em o g oundwa e
looding in he Chalk. Q. J. Eng. Geol. Hyd ogeol. 2010,43, 185–193. [C ossRe ]
9.
Ch omá, K.; B ázdil, R.; Dolák, L.; ˇ
Rehoˇ , J.; ˇ
Rezníˇcko á, L. Documen a y da a in he s udy o a ali ies caused by me eo ological and
hyd ological e en s: The Czech Republic, 1964–2019. In P oceedings o he EGU Gene al Assembly 2020, Vi ual, 4–8 May 2020.
[C ossRe ]
10.
Mülle , M.; Kašpa , M.; Vale iáno á, A.; C ho á, L.; Hol ano á, E.; G oždíko á, B. No el indices o he compa ison o
p ecipi a ion ex emes and loods: An example om he Czech e i o y. Hyd ol. Ea h Sys . Sci. 2015,19, 4641–4652. [C ossRe ]
11. Fe e , C.W. Applied Hyd ogeology, 4 h ed.; P en ice Hall, Inc.: Uppe Saddle Ri e , NJ, USA, 2001; 598p.
12.
Di ec i e. Di ec i e 2006/118/EC o he Eu opean Pa liamen and o he Council. Di ec i e on he p o ec ion o g oundwa e
agains pollu ion and de e io a ion. O . J. Eu . Communi ies 2006,372, 13.
13.
Joseph, N.; P ee ha, P.P.; Na asimhan, B. Assessmen o en i onmen al low equi emen s using a coupled su ace wa e -
g oundwa e model and a low heal h ool: A case s udy o Son Ri e in he Ganga Basin. Ecol. Indic.
2020
,121, 107110.
[C ossRe ]
14.
ˇ
Cubano á, L.; Šol ész, A.; Bedná o á, E.; Ba oko á, D.; O anus, M. Complex P oposal o Flood P o ec ion Measu es o Small
Municipali ies in he A ea o Small Ca pa hians. In P oceedings o he 5 h Wo ld Mul idisciplina y Ci il Enginee ing-A chi ec u e-
U ban Planning Symposium (WMCAUS), P ague, Czech Republic, 15–19 June 2020. [C ossRe ]
15. Bea , J.; Ve uij , A. Modeling G oundwa e Flow and Pollu ion; Sp inge : Do d ech , Ne he lands, 1992.
16.
Pe al a, R.C. G oundwa e Op imiza ion Handbook: Flow, Con aminan T anspo , and Conjunc i e Managemen ; CRC P ess: Roca
Ba on, FL, USA, 2012.
17.
Thomas, A.; Eldho, T.I.; Ras ogi, A.K.; Majumde , P. A compa a i e s udy in aqui e pa ame e es ima ion using MF ee poin
colloca ion me hod wi h e olu iona y algo i hms. J. Hyd oin o m. 2019,21, 455–473. [C ossRe ]
18.
Gha oo i, Y.; Vidma , A.; Riha, J.; K yzanowski, A. A Re iew o Measu emen Calib a ion and In e p e a ion o Seepage
Moni o ing by Op ical Fibe Dis ibu ed Tempe a u e Senso s. J. Sens. 2020,20, 5696. [C ossRe ]
19.
Acke e , P.; Ca e a, J.; Delay, F. Iden i ica ion o aqui e he e ogenei y h ough in e se me hods. In Special Issue: Geo-Hyd ological
Da a & Models; Ins i u e de F ance, Académie des Sciences: Pa is, F ance, 2022. [C ossRe ]
20.
Swa hi, B.; Eldho, T.I. Aqui e pa ame e and zona ion s uc u e es ima ion using meshless local Pe o –Gale kin me hod and
pa icle swa m op imiza ion. J. Hyd oin o m. 2018,20, 457–467. [C ossRe ]
21.
Kol sida, E.; Kallio as, A. G oundwa e low simula ion h ough he applica ion o he FREEWAT modeling pla o m. IWA
Publishing. J. Hyd oin o m. 2019,21, 812–833. [C ossRe ]
22.
E yi˘gi , M. Es ima ion o pa ame e s in g oundwa e modelling by modi ied Clonalg. J. Hyd oin o m.
2021
,23, 298–306. [C ossRe ]
23.
E ans, S.W.; Jones, N.L.; Williams, G.P.; Ames, D.P.; Nelson, E.J. G oundwa e Le el Mapping Tool: An open sou ce web
applica ion o assessing g oundwa e sus ainabili y. En i on. Model. So w. 2020,131, 104782. [C ossRe ]
24. Ho mann, J.; Sande , P. Remo e sensing and GIS in hyd ogeology. Hyd ogeol. J. 2007,15, 1–3. [C ossRe ]
25.
Sen hilkuma , M.; Gnanasunda , D.; A umugam, R. Iden i ying g oundwa e echa ge zones using emo e sensing & GIS
echniques in Ama a a hi aqui e sys em, Tamil Nadu, Sou h India. Sus ain. En i on. Res. 2019,29, 15. [C ossRe ]

Wa e 2023,15, 1145 22 o 23
26.
Oyedele, A.A. Use o emo e sensing and GIS echniques o g oundwa e explo a ion in he basemen complex e ain o
Ado-Eki i, SW Nige ia. Appl. Wa e Sci. 2019,9, 51. [C ossRe ]
27.
Lee, S.; Hyun, Y.; Lee, S.; Lee, M.-J. G oundwa e po en ial mapping using emo e sensing and GIS-based machine lea ning
echniques. Remo e Sens. 2020,12, 1200. [C ossRe ]
28.
Al-Bah ani, H.; Al-Rammahi, A.; Al-Mamoo i, S.; Almaliki, L.; Al-Ansa i, N. G oundwa e de ec ion and classi ica ion using
emo e sensing and GIS in Naja , I aq. G oundw. Sus ain. De . 2022,19, 100838. [C ossRe ]
29.
Swain, N.R.; Ch is ensen, S.D.; Snow, A.D.; Dolde , H.; Espinoza-Dá alos, G.; Goha ian, E.; Jones, N.L.; Nelson, E.J.; Ames, D.P.;
Bu ian, S.J. A new open sou ce pla o m o lowe ing he ba ie o en i onmen al web app de elopmen . En i on. Model. So w.
2016,85, 11–26. [C ossRe ]
30.
Sege, J.; Ghanem, M.; Ahmad, W.; Bade , H.; Rubin, Y. Dis ibu ed da a collec ion and web-based in eg a ion o mo e e icien
and in o ma i e g oundwa e pollu ion isk assessmen . En i on. Model. So w. 2018,100, 278–290. [C ossRe ]
31.
Si , M.; Langel, R.J.; Thompson, D.; Cwie ny, D.M.; Demi , I. Web-based da a analy ics amewo k o well o ecas ing and
g oundwa e quali y. Sci. To al En i on. 2020,761, 144121. [C ossRe ] [PubMed]
32.
Jones, D.; Jones, N.; G ee , J.; Nelson, J. A cloud-based MODFLOW se ice o aqui e managemen decision suppo . Compu .
Geosci. 2015,78, 81–87. [C ossRe ]
33.
Glass, J.; Junghanns, R.; Schlick, R.; S e an, C. The INOWAS pla o m: A web-based nume ical g oundwa e modelling app oach
o g oundwa e managemen applica ions. En i on. Model. So w. 2022,155, 105452. [C ossRe ]
34.
Collins, S.L.; Ch is elis, V.; Jackson, C.R.; Mansou , M.M.; Macdonald, D.M.J.; Ba kwi h, A.K.A.P. Towa ds in eg a ed lood
inunda ion modelling in g oundwa e -domina ed ca chmen s. J. Hyd ol. 2020,591, 125755. [C ossRe ]
35.
Me chán-Ri e a, P.; Geis , A.; Disse, M.; Huang, J.; Chiogna, G. A Bayesian amewo k o assess and c ea e isk maps o
g oundwa e looding. J. Hyd ol. 2022,610, 127797. [C ossRe ]
36.
Julínek, T.; Duchan, D.; ˇ
Ríha, J. Mapping o upli haza d due o ising g oundwa e le el du ing loods. J. Flood Risk Manag.
2020
,
13, e12601. [C ossRe ]
37.
Kuma , R.; Yazdan, M.S. E alua ing P e en i e Measu es o Flooding om G oundwa e : A Case S udy. J. Mul idiscip. Sci. J.
2023,6, 1–16. [C ossRe ]
38.
Yu, X.; Mo ae is, D.; Nikolaidisc, N.P.; Lid, B.; Du ye, C.; Liu, B. A coupled su ace-subsu ace hyd ologic model o assess
g oundwa e lood isk spa ially and empo ally. En i on. Model. So w. 2019,114, 129–139. [C ossRe ]
39.
Joo, J.; Tian, Y. Impac o S eam-G oundwa e In e ac ions on Peak S eam low in he Floods. Hyd ology
2021
,8, 141. [C ossRe ]
40.
Peña, F.; Na di, F.; Melesse, A.; Obeyseke a, J.; Cas elli, F.; P ice, R.M.; C owl, T.; Gonzalez-Rami ez, N. Compound lood
modeling amewo k o su ace–subsu ace wa e in e ac ions. J. Na . Haza ds Ea h Sys . Sci. 2022,22, 775–793. [C ossRe ]
41.
Fe az, G.; K áme , T. Su ace Wa e –G oundwa e In e ac ions and Bank S o age du ing Flooding: A Re iew. Pe iod. Poly ech.
Ci . Eng. 2022,66, 149–163. [C ossRe ]
42.
Wei, S.; Zheng, Y.; Liang, X.; Xu, P.; Tian, Y.; F ame, J.M.; Zhang, Y. A dis ibu ed domain model coupling open channel low and
g oundwa e low o quan i y he impac o la e al hyd ologic exchange on hyd og aph. J. Hyd ol.
2022
,611, 128010. [C ossRe ]
43.
Naugh on, O.; McCo mack, T.; Gill, L.; Johns on, P. G oundwa e lood haza ds and mechanisms in lowland ka s e ains. In
Ad ances in Ka s Resea ch: Theo y, Fieldwo k and Applica ions; Pa ise, M., Gab o sek, F., Kau mann, G., Ra ba , N., Eds.; Geological
Socie y, London, Special Publica ions: London, UK, 2018; Volume 466, pp. 397–410.
44.
Fell, R.; F y, J.J. The s a e o he a o assessing he likelihood o in e nal e osion o embankmen dams, wa e e aining s uc u es
and hei ounda ions. In In e nal E osion o Dams and hei Founda ions; Taylo and F ancis: London, UK, 2007; pp. 1–23.
45.
IPCC. Managing he Risks o Ex eme E en s and Disas e s o Ad ance Clima e Change Adap a ion: Special Repo o he
In e go e nmen al Panel on Clima e Change. 2012. A ailable online: h ps://www.ipcc.ch/pd /special- epo s/s ex/SREX_
Full_Repo .pd (accessed on 20 Janua y 2023).
46.
Pinde , G.F.; G ay, W.G. Fini e Elemen Simula ion in Su ace and Subsu ace Hyd ology; Academic P ess: New Yo k, NY, USA; San
F ancisco, CA, USA; London, UK, 1977; 295p.
47.
Gala i, V. G oundwa e Flow, Fully Coupled Flow De o ma ion and Und ained Analyses in PLAXIS 2D and 3D; PLAXIS BV. Resea ch
Depa men : Del , NL, USA, 2010; 285p.
48.
GMS. G oundwa e Modeling Sys em GMS 10.7. Aqua eo, P o o, USA. 2021. A ailable online: h ps://www.aqua eo.com/
so wa e/gms-g oundwa e -modeling-sys em-in oduc ion (accessed on 2 Feb ua y 2023).
49. ANSYS. Enginee ing Simula ion So wa e. 2023. A ailable online: h ps://www.ansys.com/ (accessed on 2 Feb ua y 2023).
50. Hálek, V.; Š ec, J. G oundwa e Hyd aulics; Academia: P ague, Czech Republic, 1979; 620p.
51.
Moghadam, Z.; Jahanshahi, R.; Asadi, N.; Behzadi a , V. Fac o s a ec ing on he g oundwa e upli in he Mashhad ci y, I an.
I an. Wa e Res. J. 2019,14, 13.
52. EN1997-1:2004; Eu ocode 7: Geo echnical Design. Eu opean Commi ee o S anda disa ion: B ussels, Belgium, 2004; 105p.
53.
De Ca o, M.; C os a, G.B.; P e ia i, A. Modelling he in e e ence o unde g ound s uc u es wi h g oundwa e low and emedial
solu ions in Milan. J. Eng. Geol. 2020,272, 105652. [C ossRe ]
54.
F ick, M.; Scheck-Wende o h, M.; Schneide , M.; Cacace, M. Su ace o G oundwa e In e ac ions benea h he Ci y o Be lin:
Resul s om 3D Models. J. Geo luids 2019,Volume 2019, 4129016. [C ossRe ]
55.
Jando a, J.; ˇ
Ríha, J. G oundwa e low modelling o he lood p o ec ion measu es in P ague-T oja. Wa e Manag.
2008
,58, 68–73.
Wa e 2023,15, 1145 23 o 23
56.
Dagan, G. An o e iew o s ochas ic modeling o g oundwa e low and anspo : F om heo y o applica ions. Eos T ans. Am.
Geophys. Union 2002,83, 621–625. [C ossRe ]
57. Rwanga, S.; Ndambuki, J. Sol ing g oundwa e p oblems augh wi h unce ain echa ge: An applica ion o Cen al Limpopo,
Sou h A ica. G oundw. Sus ain. De . 2020,10, 100305. [C ossRe ]
Disclaime /Publishe ’s No e:
The s a emen s, opinions and da a con ained in all publica ions a e solely hose o he indi idual
au ho (s) and con ibu o (s) and no o MDPI and/o he edi o (s). MDPI and/o he edi o (s) disclaim esponsibili y o any inju y o
people o p ope y esul ing om any ideas, me hods, ins uc ions o p oduc s e e ed o in he con en .