Predicting Future Flood Risks in the Face of Climate Change: A Frequency Analysis Perspective

The frequency analysis of maximum flows represents a direct method to predict future flood risks in the face of climate change. Thus, the correct use of the tools (probability distributions and methods of estimating their parameters) necessary to carry out such analyzes is required to avoid possible...

Full description

Saved in:
Bibliographic Details
Published inWater (Basel) Vol. 15; no. 22; p. 3883
Main Authors Anghel, Cristian Gabriel, Ilinca, Cornel
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.11.2023
Subjects
Case studies
Distribution (Probability theory)
flood
frequency analysis
Global temperature changes
linear moments
Maximum likelihood method
Parameter estimation
Precipitation
Probability
risks
Rivers
Skewness
statistical distributions
Romania
Online AccessGet full text

Cover

Abstract The frequency analysis of maximum flows represents a direct method to predict future flood risks in the face of climate change. Thus, the correct use of the tools (probability distributions and methods of estimating their parameters) necessary to carry out such analyzes is required to avoid possible negative consequences. This article presents four probability distributions from the generalized Beta families, using the L- and LH-moments method as parameter estimation. New elements are presented regarding the applicability of Dagum, Paralogistic, Inverse Paralogistic and the four-parameter Burr distributions in the flood frequency analysis. The article represents the continuation of the research carried out in the Faculty of Hydrotechnics, being part of larger and more complex research with the aim of developing a normative regarding flood frequency analysis using these methods. According to the results obtained, among the four analyzed distributions, the Burr distribution was found to be the best fit model because the theoretical values of the statistical indicators calibrated the corresponding values of the observed data. Considering the existence of more rigorous selection criteria, it is recommended to use these methods in the frequency analysis.
AbstractList The frequency analysis of maximum flows represents a direct method to predict future flood risks in the face of climate change. Thus, the correct use of the tools (probability distributions and methods of estimating their parameters) necessary to carry out such analyzes is required to avoid possible negative consequences. This article presents four probability distributions from the generalized Beta families, using the L- and LH-moments method as parameter estimation. New elements are presented regarding the applicability of Dagum, Paralogistic, Inverse Paralogistic and the four-parameter Burr distributions in the flood frequency analysis. The article represents the continuation of the research carried out in the Faculty of Hydrotechnics, being part of larger and more complex research with the aim of developing a normative regarding flood frequency analysis using these methods. According to the results obtained, among the four analyzed distributions, the Burr distribution was found to be the best fit model because the theoretical values of the statistical indicators calibrated the corresponding values of the observed data. Considering the existence of more rigorous selection criteria, it is recommended to use these methods in the frequency analysis.
Audience Academic
Author Anghel, Cristian Gabriel
Ilinca, Cornel
Author_xml – sequence: 1
  givenname: Cristian Gabriel
  orcidid: 0000-0002-5007-3211
  surname: Anghel
  fullname: Anghel, Cristian Gabriel
– sequence: 2
  givenname: Cornel
  orcidid: 0000-0002-1554-6642
  surname: Ilinca
  fullname: Ilinca, Cornel
BookMark eNpNkUFvEzEQhS1UJErpgX9giROHFNtj79rcoohApUpUCI7ImnjHqcN2HewNKP8e01RVx4exnmY-vdF7zc6mPBFjb6W4AnDiw19plAJr4QU7V6KHhdZanj37v2KXte5EK-2sNeKc_bwtNKQwp2nL14f5UIivx5wH_i3VX5Wnic93TcJAPEe-GtM9zsRXdzht6SNf8nWh3weawpEvJxyPNVV-S6XuqSH_0Bv2MuJY6fKxX7Af60_fV18WN18_X6-WN4sArp8XsBmkABfAouzV0HVBG7FppoXbRBMGq3WMFJQGBOOEdBFJKRKiF04ZZ-GCXZ-4Q8ad35fmshx9xuQfhFy2HsucwkgepVJdRBOsUdoQoDWxQ0StbGcMyMZ6d2LtS26n1dnv8qG046pX1gGAtqprU1enqS02aJpinguG9ga6T6HFElPTl32voe_dw8L700IoudZC8cmmFP5_ev4pPfgHLF2KaQ
CitedBy_id crossref_primary_10_3390_atmos15070739
Cites_doi 10.1029/WR015i005p01049
10.3390/app13074640
10.3390/sym11040484
10.1007/s00477-007-0202-6
10.1061/(ASCE)0733-9429(1988)114:1(112)
10.14419/ijet.v7i2.15.11363
10.1002/ird.91
10.31018/jans.v9i4.1539
10.1016/j.advwatres.2019.103498
10.1080/02664763.2021.1871592
10.3390/w15091732
10.3923/jas.2012.1501.1506
10.3390/stats5020019
10.3390/w15071316
10.3390/w13192688
10.3390/w13131832
10.1080/10286608.2012.749870
10.3390/w14030492
10.1007/978-94-017-1431-0
10.3390/app13053055
10.20944/preprints202303.0495.v1
10.1002/wat2.1290
10.3390/app122412588
10.1007/s00477-016-1226-6
10.3390/su15065573
10.3390/math7050406
10.1111/j.2517-6161.1990.tb01775.x
10.1029/WR014i006p01105
10.1007/s00477-007-0201-7
10.3390/e24070898
10.3390/w15112077
10.1017/CBO9780511529443
10.20944/preprints202303.0320.v1
10.1016/j.wace.2022.100533
10.1029/97WR02134
10.3390/w9090692
10.2166/wpt.2021.117
10.1029/2006WR004913
10.1007/s11269-009-9524-0
10.1080/02630259508970181
10.3390/w14182884
10.1029/98WR02364
10.3390/su11247037
10.1007/s00704-010-0330-7
ContentType Journal Article
Copyright COPYRIGHT 2023 MDPI AG
2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: COPYRIGHT 2023 MDPI AG
– notice: 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID AAYXX
CITATION
ABUWG
AFKRA
AZQEC
BENPR
CCPQU
DWQXO
PIMPY
PQEST
PQQKQ
PQUKI
PRINS
DOA
DOI 10.3390/w15223883
DatabaseName CrossRef
ProQuest Central (Alumni)
ProQuest Central
ProQuest Central Essentials
ProQuest Central
ProQuest One Community College
ProQuest Central
Publicly Available Content Database
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
Publicly Available Content Database
ProQuest Central
ProQuest One Academic UKI Edition
ProQuest Central Essentials
ProQuest Central Korea
ProQuest One Academic Eastern Edition
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest One Academic
ProQuest Central China
DatabaseTitleList CrossRef
Publicly Available Content Database
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 2073-4441
ExternalDocumentID oai_doaj_org_article_a1226fa5c85245e3a85f6aaa42865531
A774377926
10_3390_w15223883
GeographicLocations Romania
GeographicLocations_xml – name: Romania
GroupedDBID 2XV
5VS
7XC
8CJ
8FE
8FH
A8Z
AADQD
AAFWJ
AAHBH
AAYXX
ADBBV
AENEX
AFKRA
AFPKN
AFZYC
ALMA_UNASSIGNED_HOLDINGS
ATCPS
BCNDV
BENPR
BHPHI
BKSAR
CCPQU
CITATION
D1J
E3Z
ECGQY
EDH
ESTFP
GROUPED_DOAJ
GX1
HCIFZ
IAO
ITC
KQ8
MODMG
M~E
OK1
OZF
PATMY
PCBAR
PIMPY
PROAC
PYCSY
RIG
ABUWG
AZQEC
DWQXO
PQEST
PQQKQ
PQUKI
PRINS
ID FETCH-LOGICAL-c397t-3bd1039c38a172d66c450b07309bf5cd844ffec243a359019fae22e0070925983
IEDL.DBID DOA
ISSN 2073-4441
IngestDate Tue Oct 22 15:12:53 EDT 2024
Thu Oct 10 19:14:48 EDT 2024
Tue Nov 12 23:46:51 EST 2024
Wed Nov 06 13:24:32 EST 2024
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 22
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c397t-3bd1039c38a172d66c450b07309bf5cd844ffec243a359019fae22e0070925983
ORCID 0000-0002-5007-3211
0000-0002-1554-6642
OpenAccessLink https://doaj.org/article/a1226fa5c85245e3a85f6aaa42865531
PQID 2893334826
PQPubID 2032318
ParticipantIDs doaj_primary_oai_doaj_org_article_a1226fa5c85245e3a85f6aaa42865531
proquest_journals_2893334826
gale_infotracacademiconefile_A774377926
crossref_primary_10_3390_w15223883
PublicationCentury 2000
PublicationDate 2023-11-01
PublicationDateYYYYMMDD 2023-11-01
PublicationDate_xml – month: 11
  year: 2023
  text: 2023-11-01
  day: 01
PublicationDecade 2020
PublicationPlace Basel
PublicationPlace_xml – name: Basel
PublicationTitle Water (Basel)
PublicationYear 2023
Publisher MDPI AG
Publisher_xml – name: MDPI AG
References Shin (ref_17) 2023; 39
ref_13
ref_12
Murshed (ref_15) 2009; 16
ref_11
Greenwood (ref_14) 1979; 15
ref_10
ref_52
Wang (ref_24) 1998; 34
ref_51
Miniussi (ref_46) 2020; 136
Gaume (ref_2) 2018; 5
Zakaria (ref_29) 2018; 7
Domma (ref_33) 2017; 31
Lee (ref_26) 2003; 52
Wang (ref_18) 1997; 33
Singh (ref_47) 1995; 12
ref_25
Gheidari (ref_23) 2013; 30
Hosking (ref_7) 1990; 52
Houghton (ref_19) 1978; 14
Shaikh (ref_44) 2021; 17
Yah (ref_42) 2012; 12
Meshgi (ref_20) 2009; 23
ref_36
ref_35
ref_34
ref_32
ref_31
ref_39
ref_38
Bora (ref_30) 2017; 9
ref_37
Bhuyan (ref_22) 2010; 24
Hewa (ref_27) 2007; 43
Deka (ref_28) 2011; 104
Meshgi (ref_21) 2009; 23
Singh (ref_43) 1988; 114
ref_45
Beaumont (ref_50) 2022; 5
Drobot (ref_53) 2023; 68
ref_41
ref_40
ref_1
ref_3
Papukdee (ref_16) 2022; 49
ref_49
ref_48
ref_9
ref_8
ref_5
ref_4
ref_6
References_xml – volume: 15
  start-page: 1049
  year: 1979
  ident: ref_14
  article-title: Probability Weighted Moments: Definition and Relation to Parameters of Several Distributions Expressable in Inverse Form
  publication-title: Water Resour. Res.
  doi: 10.1029/WR015i005p01049
  contributor:
    fullname: Greenwood
– volume: 68
  start-page: 37
  year: 2023
  ident: ref_53
  article-title: Consideratii privind viiturile sintetice pe Dunare
  publication-title: Hidrotehnica
  contributor:
    fullname: Drobot
– ident: ref_32
– ident: ref_13
  doi: 10.3390/app13074640
– ident: ref_49
  doi: 10.3390/sym11040484
– volume: 23
  start-page: 137
  year: 2009
  ident: ref_20
  article-title: Comprehensive evaluation of regional flood frequency analysis by L- and LH-moments. II. Development of LH-moments parameters for the generalized Pareto and generalized logistic distributions
  publication-title: Stoch. Environ. Res. Risk Assess.
  doi: 10.1007/s00477-007-0202-6
  contributor:
    fullname: Meshgi
– volume: 114
  start-page: 112
  year: 1988
  ident: ref_43
  article-title: Parameter Estimation for Log-Pearson Type III Distribution by POME
  publication-title: J. Hydraul. Eng.
  doi: 10.1061/(ASCE)0733-9429(1988)114:1(112)
  contributor:
    fullname: Singh
– volume: 7
  start-page: 107
  year: 2018
  ident: ref_29
  article-title: Rainfall frequency analysis using LH-moments approach: A case of Kemaman Station, Malaysia
  publication-title: Int. J. Eng. Technol.
  doi: 10.14419/ijet.v7i2.15.11363
  contributor:
    fullname: Zakaria
– volume: 52
  start-page: 231
  year: 2003
  ident: ref_26
  article-title: Comparison and analysis of design floods by the change in the order of LH-moment methods
  publication-title: Irrig. Drain.
  doi: 10.1002/ird.91
  contributor:
    fullname: Lee
– volume: 9
  start-page: 2366
  year: 2017
  ident: ref_30
  article-title: Regional analysis of maximum rainfall using L-moment and LH-moment: A comparative case study for the northeast India
  publication-title: J. Appl. Nat. Sci.
  doi: 10.31018/jans.v9i4.1539
  contributor:
    fullname: Bora
– volume: 136
  start-page: 103498
  year: 2020
  ident: ref_46
  article-title: Metastatistical Extreme Value Distribution applied to floods across the continental United States
  publication-title: Adv. Water Resour.
  doi: 10.1016/j.advwatres.2019.103498
  contributor:
    fullname: Miniussi
– ident: ref_1
– volume: 49
  start-page: 1559
  year: 2022
  ident: ref_16
  article-title: Penalized likelihood approach for the four-parameter kappa distribution
  publication-title: J. Appl. Stat.
  doi: 10.1080/02664763.2021.1871592
  contributor:
    fullname: Papukdee
– ident: ref_41
  doi: 10.3390/w15091732
– ident: ref_4
– volume: 12
  start-page: 1501
  year: 2012
  ident: ref_42
  article-title: Determination of the Probability Plotting Position for Type I Extreme Value Distribution
  publication-title: J. Appl. Sci.
  doi: 10.3923/jas.2012.1501.1506
  contributor:
    fullname: Yah
– volume: 5
  start-page: 339
  year: 2022
  ident: ref_50
  article-title: A Bootstrap Variance Estimation Method for Multistage Sampling and Two-Phase Sampling When Poisson Sampling Is Used at the Second Phase
  publication-title: Stats
  doi: 10.3390/stats5020019
  contributor:
    fullname: Beaumont
– ident: ref_52
– ident: ref_35
  doi: 10.3390/w15071316
– ident: ref_39
  doi: 10.3390/w13192688
– ident: ref_40
  doi: 10.3390/w13131832
– ident: ref_48
– volume: 30
  start-page: 72
  year: 2013
  ident: ref_23
  article-title: Comparisons of the L- and LH-moments in the selection of the best distribution for regional flood frequency analysis in Lake Urmia Basin
  publication-title: Civ. Eng. Environ. Syst.
  doi: 10.1080/10286608.2012.749870
  contributor:
    fullname: Gheidari
– ident: ref_45
  doi: 10.3390/w14030492
– ident: ref_8
  doi: 10.1007/978-94-017-1431-0
– ident: ref_10
  doi: 10.3390/app13053055
– ident: ref_5
  doi: 10.20944/preprints202303.0495.v1
– volume: 5
  start-page: e1290
  year: 2018
  ident: ref_2
  article-title: Flood frequency analysis: The Bayesian choice
  publication-title: WIREs Water
  doi: 10.1002/wat2.1290
  contributor:
    fullname: Gaume
– ident: ref_3
– ident: ref_12
  doi: 10.3390/app122412588
– volume: 31
  start-page: 799
  year: 2017
  ident: ref_33
  article-title: Use of the Beta-Dagum and Beta-Singh-Maddala distributions for modeling hydrologic data
  publication-title: Stoch. Environ. Res. Risk Assess.
  doi: 10.1007/s00477-016-1226-6
  contributor:
    fullname: Domma
– ident: ref_34
– ident: ref_36
  doi: 10.3390/su15065573
– ident: ref_37
  doi: 10.3390/math7050406
– volume: 52
  start-page: 105
  year: 1990
  ident: ref_7
  article-title: L-moments: Analysis and Estimation of Distributions using Linear, Combinations of Order Statistics
  publication-title: J. R. Statist. Soc.
  doi: 10.1111/j.2517-6161.1990.tb01775.x
  contributor:
    fullname: Hosking
– volume: 14
  start-page: 1105
  year: 1978
  ident: ref_19
  article-title: Birth of a parent: The Wakeby distribution for modeling flood flows
  publication-title: Water Resour. Res.
  doi: 10.1029/WR014i006p01105
  contributor:
    fullname: Houghton
– volume: 23
  start-page: 119
  year: 2009
  ident: ref_21
  article-title: Comprehensive evaluation of regional flood frequency analysis by L- and LH-moments. I. A revisit to regional homogeneity
  publication-title: Stoch. Environ. Res. Risk Assess.
  doi: 10.1007/s00477-007-0201-7
  contributor:
    fullname: Meshgi
– ident: ref_25
  doi: 10.3390/e24070898
– ident: ref_31
  doi: 10.3390/w15112077
– ident: ref_6
  doi: 10.1017/CBO9780511529443
– ident: ref_11
  doi: 10.20944/preprints202303.0320.v1
– volume: 16
  start-page: 647
  year: 2009
  ident: ref_15
  article-title: LH-Moments of Some Distributions Useful in Hydrology
  publication-title: Commun. Stat. Appl. Methods
  contributor:
    fullname: Murshed
– volume: 39
  start-page: 100533
  year: 2023
  ident: ref_17
  article-title: Modeling climate extremes using the four-parameter kappa distribution for r-largest order statistics
  publication-title: Weather Clim. Extremes
  doi: 10.1016/j.wace.2022.100533
  contributor:
    fullname: Shin
– volume: 33
  start-page: 2841
  year: 1997
  ident: ref_18
  article-title: LH moments for statistical analysis of extreme events
  publication-title: Water Resour. Res.
  doi: 10.1029/97WR02134
  contributor:
    fullname: Wang
– ident: ref_38
  doi: 10.3390/w9090692
– volume: 17
  start-page: 139
  year: 2021
  ident: ref_44
  article-title: Assessment of the empirical methods for the development of the synthetic unit hydrograph: A case study of a semi-arid river basin
  publication-title: Water Pract. Technol.
  doi: 10.2166/wpt.2021.117
  contributor:
    fullname: Shaikh
– volume: 43
  start-page: W06301
  year: 2007
  ident: ref_27
  article-title: Generalized extreme value distribution fitted by LH moments for low-flow frequency analysis
  publication-title: Water Resour. Res.
  doi: 10.1029/2006WR004913
  contributor:
    fullname: Hewa
– volume: 24
  start-page: 1779
  year: 2010
  ident: ref_22
  article-title: Regional Flood Frequency Analysis of North-Bank of the River Brahmaputra by Using LH-Moments
  publication-title: Water Resour. Manag.
  doi: 10.1007/s11269-009-9524-0
  contributor:
    fullname: Bhuyan
– volume: 12
  start-page: 343
  year: 1995
  ident: ref_47
  article-title: Parameter estimation for 2-Parameter log-logistic distribution (LLD2) by maximum entropy
  publication-title: Civ. Eng. Syst.
  doi: 10.1080/02630259508970181
  contributor:
    fullname: Singh
– ident: ref_9
  doi: 10.3390/w14182884
– volume: 34
  start-page: 3497
  year: 1998
  ident: ref_24
  article-title: Approximate Goodness-of-Fit Tests of fitted generalized extreme value distributions using LH moments
  publication-title: Water Resour. Res.
  doi: 10.1029/98WR02364
  contributor:
    fullname: Wang
– ident: ref_51
  doi: 10.3390/su11247037
– volume: 104
  start-page: 111
  year: 2011
  ident: ref_28
  article-title: Statistical analysis of annual maximum rainfall in North-East India: An application of LH-moments
  publication-title: Theor. Appl. Climatol.
  doi: 10.1007/s00704-010-0330-7
  contributor:
    fullname: Deka
SSID ssj0000498850
Score 2.3403497
Snippet The frequency analysis of maximum flows represents a direct method to predict future flood risks in the face of climate change. Thus, the correct use of the...
SourceID doaj
proquest
gale
crossref
SourceType Open Website
Aggregation Database
StartPage 3883
SubjectTerms Case studies
Distribution (Probability theory)
flood
frequency analysis
Global temperature changes
linear moments
Maximum likelihood method
Parameter estimation
Precipitation
Probability
risks
Rivers
Skewness
statistical distributions
SummonAdditionalLinks – databaseName: ProQuest Central
  dbid: BENPR
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LS8NAEF60vehBfGJ9sYjgKdjsbuLGi7RiKB5KKQpeZNlXpCitphXx3zuTbFs96DXJYZnNzPfN7sw3hJwBBEDoFSyyQupIOGYi40QWtZnLAOArTMRqi37aexB3j8ljOHCbhrLKeUysArWbWDwjv2A4Fx6VWNLrt_cIp0bh7WoYobFKmgwyhXaDNLu3_cFwccoC_FfKpF1LCnHI7y8-AbAApiT_BUSVXv9fUbmCmnyTbASOSDv1pm6RFT_eJus_lAN3yNOgxBsWrFmmeSULQnMsQafD0fRlSkdjCsSO5tp6OinozesIiKmndSvBFe3QvKxLqL_oXJWEDpZtl7vkIb-9v-lFYVJCZIFPzCJuHF7pWi41EBKXplYkbYPem5kC2_-FwOoQJrjm2GyaFdoz5lHrJ4P8R_I90hhPxn6fUBObBJBNXDrphJNWFj5LTazTQsSG8bRFTudmU2-1IIaCRAJtqxa2bZEuGnTxAWpYVw8m5bMKLqF0DNSv0ImVCROJ51omRaq1FlWzLI9b5By3Q6GnzUptdWgYgHWiZpXqAHNFuUQGazqa75gKLjhVyx_m4P_Xh2QNZ8jXDYZHpDErP_wxMI2ZOQm_0zcSD9Em
  priority: 102
  providerName: ProQuest
Title Predicting Future Flood Risks in the Face of Climate Change: A Frequency Analysis Perspective
URI https://www.proquest.com/docview/2893334826
https://doaj.org/article/a1226fa5c85245e3a85f6aaa42865531
Volume 15
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3PS8MwFA4yL3oQf-J0jiCCp7I1SWvqbZPV4WGM4WAXCUmbwlQ66Srif-97TTfnQbx46aH08Hivyfc98r4vhFwBBMDWK5iXCKk9kTLjmVREXpelEQB8hYk4bTEKh1PxMAtmG1d94UyYswd2ietoHwhCpoNEBkwElmsZZKHWWlSSSu4an2600Uw9O94rZdB1VkIc-vrOBwAVwJPkPwCo8un_bTeuICbeJ3s1N6Q9F9MB2bL5IdndcAw8Ik_jAk9WcFaZxpUdCI1x9JxO5suXJZ3nFAgdjXVi6SKjd69zIKSWOgnBLe3RuHCj05905UZCx99yy2MyjQePd0OvviHBS4BHlB43KR7lJlxqICJpGCYi6BpctZHJUPYvBE6FMME1R5FplGnLmEWPnwj6HslPSCNf5PaUUOObABBN3KQyFalMZGaj0Pg6zIRvGA-b5HKVNvXmjDAUNBCYW7XObZP0MaHrD9C7unoBFVV1RdVfFW2SayyHwhVWFjrRtVAA4kSvKtUDxoo2iQxiaq0qpuqlt1TQQXKUF7Pw7D-iOSc7eMO8kx-2SKMs3u0F8JDStMl2fzAaT9rVrwfP-5n_BeVm2hU
link.rule.ids 315,783,787,867,2109,21400,27936,27937,33756,43817,74630
linkProvider Directory of Open Access Journals
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1NT-MwELXYcmA5INgPUSishVbaU0RjO8HhgtqKqLt0qwqBxAVZ_gqqQC2kRYh_z0zitsuBvSY5WOPMvDf2zBtCfgIEQOgVLLJC6kg4ZiLjRBa1mcsA4CtMxGqLYdq_Fn9ukptw4DYLZZWLmFgFaje1eEZ-zHAuPCqxpGePTxFOjcLb1TBC4xNZR6kqSL7Wu-fD0eXylAX4r5RJu5YU4pDfH78AYAFMSf4OiCq9_o-icgU1-TbZChyRdupN3SFrfvKFbP6jHPiV3I5KvGHBmmWaV7IgNMcSdHo5nt3P6HhCgdjRXFtPpwXtPYyBmHpatxKc0g7Ny7qE-pUuVEnoaNV2-Y1c5-dXvX4UJiVEFvjEPOLG4ZWu5VIDIXFpakXSNui9mSmw_V8IrA5hgmuOzaZZoT1jHrV-Msh_JP9OGpPpxO8SamKTALKJEyedcNLKwmepiXVaiNgwnjbJ0cJs6rEWxFCQSKBt1dK2TdJFgy4_QA3r6sG0vFPBJZSOgfoVOrEyYSLxXMukSLXWomqW5XGT_MLtUOhp81JbHRoGYJ2oWaU6wFxRLpHBmlqLHVPBBWdq9cPs_f_1D7LRv_o7UIPfw4t98hnnydfNhi3SmJfP_gBYx9wchl_rDSZW1CA
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1NbxMxEB2VVEL0UNECIlCohZA4rZK1va6XC0pLV22poqiiUi_I8teiqFXSboJQ_z0zu04KB3rd3YNle-Y9r9-8AfiIEICpV_LMS20zGbjLXJBlNuShRIBvMZHUFmN1cinProqrpH9aJFnlKie2iTrMPf0jH3DqC09OLGpQJ1nE5Gv15fYuow5SdNOa2mk8gc0DqcSwB5uHx-PJxfqPC3JhrYthZy8k8Kw_-I3ghZClxT-g1Hr3_y9Dt7BTPYftxBfZqFvgHdiIs13Y-stF8AX8mDR020L6ZVa1FiGsIjk6u5gurhdsOmNI8lhlfWTzmh3dTJGkRtaVFXxmI1Y1nZz6nq0cStjkoQTzJVxWx9-PTrLUNSHzyC2WmXCBrne90BbJSVDKy2LoKJJLV5MVgJSkFOFSWEGFp2VtI-eRfH9KPAtp8Qp6s_ksvgbmclcgysmDoIMM2us6lsrlVtUyd1yoPnxYTZu57cwxDB4qaG7Nem77cEgTuv6A_KzbB_Pmp0nhYWyONLC2hdcFl0UUVhe1stbKtnBW5H34RMthKOqWjfU2FQ_gOMm_yoyQxZJ1Iscx7a1WzKRwXJiHzfPm8df78BR3lTk_HX97C8-otXxXd7gHvWXzK75DArJ079PO-gP9_NhO
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Predicting+Future+Flood+Risks+in+the+Face+of+Climate+Change%3A+A+Frequency+Analysis+Perspective&rft.jtitle=Water+%28Basel%29&rft.au=Anghel%2C+Cristian+Gabriel&rft.au=Ilinca%2C+Cornel&rft.date=2023-11-01&rft.pub=MDPI+AG&rft.issn=2073-4441&rft.eissn=2073-4441&rft.volume=15&rft.issue=22&rft_id=info:doi/10.3390%2Fw15223883&rft.externalDocID=A774377926
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2073-4441&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2073-4441&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2073-4441&client=summon