Copula-based risk evaluation of hydrological droughts in the East River basin, China

Probabilistic characteristics of hydrological droughts in a basin are closely related to the variability and availability of water resources of the basin. The East River basin in China is the main source for water supply for mega cities in the Pearl River Delta and cities in the vicinity of the Delt...

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Published inStochastic environmental research and risk assessment Vol. 27; no. 6; pp. 1397 - 1406
Main Authors Zhang, Qiang, Xiao, Mingzhong, Singh, Vijay P, Chen, Xiaohong
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer-Verlag 01.08.2013
Springer Berlin Heidelberg
Springer Nature B.V
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Abstract Probabilistic characteristics of hydrological droughts in a basin are closely related to the variability and availability of water resources of the basin. The East River basin in China is the main source for water supply for mega cities in the Pearl River Delta and cities in the vicinity of the Delta, such as Hong Kong. The water supply is subject to the vagaries of weather and water resources in the basin exhibit probabilistic characteristics. Using daily streamflow data for a period of 1975–2009 from 4 hydrological stations in the East River basin, this study attempts to determine probabilistic characteristics of hydrological droughts using copula functions. The bivariate quantile curves of the secondary return periods for hydrological drought of all the hydrological stations have been built and the results a higher risk of hydrological droughts in the upper East River basin. Furthermore, water resources should be managed by considering the entire East River basin in order to sustain the regional socio-economic development, and the extreme value copula has been used to describe the extreme drought events in the East River basin.
AbstractList Probabilistic characteristics of hydrological droughts in a basin are closely related to the variability and availability of water resources of the basin. The East River basin in China is the main source for water supply for mega cities in the Pearl River Delta and cities in the vicinity of the Delta, such as Hong Kong. The water supply is subject to the vagaries of weather and water resources in the basin exhibit probabilistic characteristics. Using daily streamflow data for a period of 1975-2009 from 4 hydrological stations in the East River basin, this study attempts to determine probabilistic characteristics of hydrological droughts using copula functions. The bivariate quantile curves of the secondary return periods for hydrological drought of all the hydrological stations have been built and the results a higher risk of hydrological droughts in the upper East River basin. Furthermore, water resources should be managed by considering the entire East River basin in order to sustain the regional socio-economic development, and the extreme value copula has been used to describe the extreme drought events in the East River basin.[PUBLICATION ABSTRACT]
Probabilistic characteristics of hydrological droughts in a basin are closely related to the variability and availability of water resources of the basin. The East River basin in China is the main source for water supply for mega cities in the Pearl River Delta and cities in the vicinity of the Delta, such as Hong Kong. The water supply is subject to the vagaries of weather and water resources in the basin exhibit probabilistic characteristics. Using daily streamflow data for a period of 1975-2009 from 4 hydrological stations in the East River basin, this study attempts to determine probabilistic characteristics of hydrological droughts using copula functions. The bivariate quantile curves of the secondary return periods for hydrological drought of all the hydrological stations have been built and the results a higher risk of hydrological droughts in the upper East River basin. Furthermore, water resources should be managed by considering the entire East River basin in order to sustain the regional socio-economic development, and the extreme value copula has been used to describe the extreme drought events in the East River basin.
Author Xiao, Mingzhong
Singh, Vijay P
Chen, Xiaohong
Zhang, Qiang
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Cites_doi 10.1016/j.physa.2008.11.025
10.1002/hyp.8406
10.5194/hess-10-535-2006
10.1029/WR023i001p00156
10.1007/s00704-008-0095-4
10.1016/j.gloplacha.2004.06.009
10.1029/2004WR003133
10.1029/2011JD016088
10.1016/j.jhydrol.2006.06.033
10.1080/01621459.1965.10480807
10.1080/02626669709492003
10.1214/08-AOS672
10.1002/joc.2396
10.1007/s00477-009-0331-1
10.1016/j.earscirev.2006.12.002
10.1080/01621459.1993.10476372
10.5194/hess-15-141-2011
10.1016/j.advwatres.2010.12.010
10.1016/j.jhydrol.2009.10.029
10.1080/02508068508686328
10.1016/j.jmva.2003.10.006
10.1007/1-4020-4415-1
10.1007/s11269-005-9008-9
10.1016/j.quaint.2010.08.013
10.1016/j.pce.2008.09.004
10.1016/j.jhydrol.2010.07.008
10.1016/j.jhydrol.2010.07.012
10.3150/10-BEJ279
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Keywords Hydrological drought
Copula
Extreme value
The East River basin
Secondary return period
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References EdwardRCRichardSMarkACDavidWSNorth American drought: reconstructions, causes, and consequencesEarth Sci Rev2007819313410.1016/j.earscirev.2006.12.002
Sklar A (1959) Fonctions de répartition àn dimensions et leurs marges. Publ. Inst. Stat. Univ. Paris, Paris, France, pp 229–231
GenestCSegersJRank-based inference for bivariate extreme-value copulasAnn Stat20093752990302210.1214/08-AOS672
SalvadoriGDe MicheleCEstimating strategies for multiparameter multivariate extreme value copulasHydrol Earth Syst Sci201115114115010.5194/hess-15-141-2011
SerinaldiFBonaccorsoBCancelliereAGrimaldiSProbabilistic characterization of drought properties through copulasPhys Chem Earth20093459660510.1016/j.pce.2008.09.004
CancelliereASalasDJDrought probabilities and return period for annual streamflow seriesJ Hydrol2010391778910.1016/j.jhydrol.2010.07.008
ZhangQXuC-YYuZLiuC-LChenYQMultifractal analysis of streamflow records of the East River basin (Pearl River), ChinaPhys A200938892793410.1016/j.physa.2008.11.025
SalvadoriGDe MicheleCFrequency analysis via copulas: theoretical aspects and applications to hydrological eventsWater Resour Res20044012W1251110.1029/2004WR003133
MadsenHRosbjergDOn the modelling of extreme droughtsIAHS Publ Ser Proc Reports-Intern Assoc Hydrol Sci1995231377386
WilhiteDAGlantzMHUnderstanding the drought phenomenon: the role of definitionsWater Int19851011112010.1080/02508068508686328
Zhou Y, Zhang Q, Li K, Chen X (2012) Hydrological effects of water reservoirs on hydrological processes: complexity evaluations based on the multi-scale entropy analysis. Hydrol Process. doi:10.1002/hyp.8406
ZhangLSinghVPBivariate rainfall frequency distributions using Archimedean copulasJ Hydrol20073321–29310910.1016/j.jhydrol.2006.06.033
ShiauJFitting drought duration and severity with two-dimensional copulasWater Resour Manage200620579581510.1007/s11269-005-9008-9
FalkMReissRDOn pickands coordinates in arbitrary dimensionsJ Multivar Anal200592242645310.1016/j.jmva.2003.10.006
ZelenhasicESalvaiAA method of streamflow drought analysisWater Resour Res198723115616810.1029/WR023i001p00156
PickandsJMultivariate extreme value distributionsBull Int Stat Inst198149859878
Yevjevich V (1967) Objective approach to definitions and investigations of continental hydrologic droughts. Hydrology paper 23, Colorado State Uiversity, Fort Collins
PlackettRLA class of bivariate distributionsJ Am Stat Assoc19656031051652210.1080/01621459.1965.10480807
FleigAKTallaksenLMHisdalHDemuthSA global evaluation of streamflow drought characteristicsHydrol Earth Syst Sci200610453555210.5194/hess-10-535-2006
WilhiteDAWilhiteDADrought as a natural hazard: concepts and definitionsDrought: a global assessment2000LondonRoutledge318
ZolinaOKapalaASimmerCGulevSKAnalysis of extreme precipitation over Europe from different reanalysis: a comparative assessmentGlobal Planet Change20044412916110.1016/j.gloplacha.2004.06.009
ZhangQXuC-YZhangZObserved changes of drought/wetness episodes in the Pearl River basin, China, using the standardized precipitation index and aridity indexTheor Appl Climatol2009981899910.1007/s00704-008-0095-4
KaoS-CGovindarajuRTrivariate statistical analysis of extreme rainfall events via the Plackett family of copulasWater Resour Res200844W0241510.1029/2007WR006261
Zhang Q, Singh VP, Li JF, Chen XH (2011) Analysis of the periods of maximum consecutive wet days in China. J Geophys Res. doi:10.1029/2011JD016088
SongSSinghVPMeta-elliptical copulas for drought frequency analysis of periodic hydrologic dataStoch Environ Res Risk Assess201024342544410.1007/s00477-009-0331-1
MishraKASinghPVA review of drought conceptsJ Hydrol201039120221610.1016/j.jhydrol.2010.07.012
American Meteorological Society (AMS) (2004) AMS statement on meteorological drought. Bulletin of the American Meteorological Society, vol 85, pp 771–773
GenestCKojadinovicINešlehováJYanJA goodness-of-fit test for bivariate extreme-value copulasBernoulli201117125327510.3150/10-BEJ279
GenestCRivestLPStatistical inference procedures for bivariate Archimedean copulasJ Am Stat Assoc1993884231034104310.1080/01621459.1993.10476372
Zhang Q, Zhang W, Lu X, Chen YD (2012) Landfalling tropical cyclones activities in the south China: intensifying or weakening? Int J Climatol. doi:10.1002/joc.2396
KaoS-CGovindarajuSRA copula-based joint deficit index for droughtsJ Hydrol201038012113410.1016/j.jhydrol.2009.10.029
KimDHYooCKingTWApplication of spatial EOF and multivariate time series model for evaluating agricultural drought vulnerability in KoreaAdv Water Resour20113434035010.1016/j.advwatres.2010.12.010
NelsenRBAn introduction to copulas2006BerlinSpringer
ChenYDZhangQLuXXZhangSRZhangZXPrecipitation variability (1956–2002) in the Dongjiang River (Zhujiang River basin, China) and associated large-scale circulationQuat Int201124413013710.1016/j.quaint.2010.08.013
SalvadoreGDe MicheleCKottegodaNTRossoRExtremes in nature: an approach using copulas2007BerlinSpringer
TallaksenLMMadsenHClausenBOn the definition and modelling of streamflow drought duration and deficit volumeHydrol Sci J1997421153310.1080/02626669709492003
675_CR28
DH Kim (675_CR12) 2011; 34
KA Mishra (675_CR14) 2010; 391
E Zelenhasic (675_CR29) 1987; 23
AK Fleig (675_CR6) 2006; 10
YD Chen (675_CR3) 2011; 244
G Salvadori (675_CR19) 2004; 40
C Genest (675_CR7) 1993; 88
G Salvadore (675_CR18) 2007
L Zhang (675_CR30) 2007; 332
LM Tallaksen (675_CR25) 1997; 42
RL Plackett (675_CR17) 1965; 60
675_CR34
C Genest (675_CR9) 2011; 17
675_CR33
O Zolina (675_CR36) 2004; 44
Q Zhang (675_CR31) 2009; 98
A Cancelliere (675_CR2) 2010; 391
C Genest (675_CR8) 2009; 37
675_CR35
S Song (675_CR24) 2010; 24
RB Nelsen (675_CR15) 2006
DA Wilhite (675_CR26) 2000
J Pickands (675_CR16) 1981; 49
RC Edward (675_CR4) 2007; 81
S-C Kao (675_CR11) 2010; 380
DA Wilhite (675_CR27) 1985; 10
S-C Kao (675_CR10) 2008; 44
H Madsen (675_CR13) 1995; 231
F Serinaldi (675_CR21) 2009; 34
J Shiau (675_CR22) 2006; 20
M Falk (675_CR5) 2005; 92
675_CR1
Q Zhang (675_CR32) 2009; 388
675_CR23
G Salvadori (675_CR20) 2011; 15
References_xml – reference: PlackettRLA class of bivariate distributionsJ Am Stat Assoc19656031051652210.1080/01621459.1965.10480807
– reference: CancelliereASalasDJDrought probabilities and return period for annual streamflow seriesJ Hydrol2010391778910.1016/j.jhydrol.2010.07.008
– reference: KaoS-CGovindarajuSRA copula-based joint deficit index for droughtsJ Hydrol201038012113410.1016/j.jhydrol.2009.10.029
– reference: Sklar A (1959) Fonctions de répartition àn dimensions et leurs marges. Publ. Inst. Stat. Univ. Paris, Paris, France, pp 229–231
– reference: SalvadoriGDe MicheleCFrequency analysis via copulas: theoretical aspects and applications to hydrological eventsWater Resour Res20044012W1251110.1029/2004WR003133
– reference: GenestCSegersJRank-based inference for bivariate extreme-value copulasAnn Stat20093752990302210.1214/08-AOS672
– reference: ZhangQXuC-YZhangZObserved changes of drought/wetness episodes in the Pearl River basin, China, using the standardized precipitation index and aridity indexTheor Appl Climatol2009981899910.1007/s00704-008-0095-4
– reference: GenestCRivestLPStatistical inference procedures for bivariate Archimedean copulasJ Am Stat Assoc1993884231034104310.1080/01621459.1993.10476372
– reference: SerinaldiFBonaccorsoBCancelliereAGrimaldiSProbabilistic characterization of drought properties through copulasPhys Chem Earth20093459660510.1016/j.pce.2008.09.004
– reference: American Meteorological Society (AMS) (2004) AMS statement on meteorological drought. Bulletin of the American Meteorological Society, vol 85, pp 771–773
– reference: ZolinaOKapalaASimmerCGulevSKAnalysis of extreme precipitation over Europe from different reanalysis: a comparative assessmentGlobal Planet Change20044412916110.1016/j.gloplacha.2004.06.009
– reference: FleigAKTallaksenLMHisdalHDemuthSA global evaluation of streamflow drought characteristicsHydrol Earth Syst Sci200610453555210.5194/hess-10-535-2006
– reference: GenestCKojadinovicINešlehováJYanJA goodness-of-fit test for bivariate extreme-value copulasBernoulli201117125327510.3150/10-BEJ279
– reference: Zhou Y, Zhang Q, Li K, Chen X (2012) Hydrological effects of water reservoirs on hydrological processes: complexity evaluations based on the multi-scale entropy analysis. Hydrol Process. doi:10.1002/hyp.8406
– reference: MishraKASinghPVA review of drought conceptsJ Hydrol201039120221610.1016/j.jhydrol.2010.07.012
– reference: ZelenhasicESalvaiAA method of streamflow drought analysisWater Resour Res198723115616810.1029/WR023i001p00156
– reference: MadsenHRosbjergDOn the modelling of extreme droughtsIAHS Publ Ser Proc Reports-Intern Assoc Hydrol Sci1995231377386
– reference: TallaksenLMMadsenHClausenBOn the definition and modelling of streamflow drought duration and deficit volumeHydrol Sci J1997421153310.1080/02626669709492003
– reference: Zhang Q, Zhang W, Lu X, Chen YD (2012) Landfalling tropical cyclones activities in the south China: intensifying or weakening? Int J Climatol. doi:10.1002/joc.2396
– reference: Yevjevich V (1967) Objective approach to definitions and investigations of continental hydrologic droughts. Hydrology paper 23, Colorado State Uiversity, Fort Collins
– reference: WilhiteDAWilhiteDADrought as a natural hazard: concepts and definitionsDrought: a global assessment2000LondonRoutledge318
– reference: SongSSinghVPMeta-elliptical copulas for drought frequency analysis of periodic hydrologic dataStoch Environ Res Risk Assess201024342544410.1007/s00477-009-0331-1
– reference: EdwardRCRichardSMarkACDavidWSNorth American drought: reconstructions, causes, and consequencesEarth Sci Rev2007819313410.1016/j.earscirev.2006.12.002
– reference: SalvadoreGDe MicheleCKottegodaNTRossoRExtremes in nature: an approach using copulas2007BerlinSpringer
– reference: WilhiteDAGlantzMHUnderstanding the drought phenomenon: the role of definitionsWater Int19851011112010.1080/02508068508686328
– reference: ZhangQXuC-YYuZLiuC-LChenYQMultifractal analysis of streamflow records of the East River basin (Pearl River), ChinaPhys A200938892793410.1016/j.physa.2008.11.025
– reference: KimDHYooCKingTWApplication of spatial EOF and multivariate time series model for evaluating agricultural drought vulnerability in KoreaAdv Water Resour20113434035010.1016/j.advwatres.2010.12.010
– reference: KaoS-CGovindarajuRTrivariate statistical analysis of extreme rainfall events via the Plackett family of copulasWater Resour Res200844W0241510.1029/2007WR006261
– reference: PickandsJMultivariate extreme value distributionsBull Int Stat Inst198149859878
– reference: SalvadoriGDe MicheleCEstimating strategies for multiparameter multivariate extreme value copulasHydrol Earth Syst Sci201115114115010.5194/hess-15-141-2011
– reference: ShiauJFitting drought duration and severity with two-dimensional copulasWater Resour Manage200620579581510.1007/s11269-005-9008-9
– reference: FalkMReissRDOn pickands coordinates in arbitrary dimensionsJ Multivar Anal200592242645310.1016/j.jmva.2003.10.006
– reference: ChenYDZhangQLuXXZhangSRZhangZXPrecipitation variability (1956–2002) in the Dongjiang River (Zhujiang River basin, China) and associated large-scale circulationQuat Int201124413013710.1016/j.quaint.2010.08.013
– reference: NelsenRBAn introduction to copulas2006BerlinSpringer
– reference: Zhang Q, Singh VP, Li JF, Chen XH (2011) Analysis of the periods of maximum consecutive wet days in China. J Geophys Res. doi:10.1029/2011JD016088
– reference: ZhangLSinghVPBivariate rainfall frequency distributions using Archimedean copulasJ Hydrol20073321–29310910.1016/j.jhydrol.2006.06.033
– volume: 388
  start-page: 927
  year: 2009
  ident: 675_CR32
  publication-title: Phys A
  doi: 10.1016/j.physa.2008.11.025
– ident: 675_CR23
– ident: 675_CR35
  doi: 10.1002/hyp.8406
– volume: 10
  start-page: 535
  issue: 4
  year: 2006
  ident: 675_CR6
  publication-title: Hydrol Earth Syst Sci
  doi: 10.5194/hess-10-535-2006
– volume: 23
  start-page: 156
  issue: 1
  year: 1987
  ident: 675_CR29
  publication-title: Water Resour Res
  doi: 10.1029/WR023i001p00156
– ident: 675_CR1
– volume: 98
  start-page: 89
  issue: 1
  year: 2009
  ident: 675_CR31
  publication-title: Theor Appl Climatol
  doi: 10.1007/s00704-008-0095-4
– volume: 44
  start-page: 129
  year: 2004
  ident: 675_CR36
  publication-title: Global Planet Change
  doi: 10.1016/j.gloplacha.2004.06.009
– volume: 40
  start-page: W12511
  issue: 12
  year: 2004
  ident: 675_CR19
  publication-title: Water Resour Res
  doi: 10.1029/2004WR003133
– ident: 675_CR33
  doi: 10.1029/2011JD016088
– volume: 49
  start-page: 859
  year: 1981
  ident: 675_CR16
  publication-title: Bull Int Stat Inst
– volume: 332
  start-page: 93
  issue: 1–2
  year: 2007
  ident: 675_CR30
  publication-title: J Hydrol
  doi: 10.1016/j.jhydrol.2006.06.033
– volume: 60
  start-page: 516
  issue: 310
  year: 1965
  ident: 675_CR17
  publication-title: J Am Stat Assoc
  doi: 10.1080/01621459.1965.10480807
– start-page: 3
  volume-title: Drought: a global assessment
  year: 2000
  ident: 675_CR26
– volume: 42
  start-page: 15
  issue: 1
  year: 1997
  ident: 675_CR25
  publication-title: Hydrol Sci J
  doi: 10.1080/02626669709492003
– volume: 37
  start-page: 2990
  issue: 5
  year: 2009
  ident: 675_CR8
  publication-title: Ann Stat
  doi: 10.1214/08-AOS672
– ident: 675_CR34
  doi: 10.1002/joc.2396
– volume: 231
  start-page: 377
  year: 1995
  ident: 675_CR13
  publication-title: IAHS Publ Ser Proc Reports-Intern Assoc Hydrol Sci
– volume: 24
  start-page: 425
  issue: 3
  year: 2010
  ident: 675_CR24
  publication-title: Stoch Environ Res Risk Assess
  doi: 10.1007/s00477-009-0331-1
– volume: 81
  start-page: 93
  year: 2007
  ident: 675_CR4
  publication-title: Earth Sci Rev
  doi: 10.1016/j.earscirev.2006.12.002
– volume: 88
  start-page: 1034
  issue: 423
  year: 1993
  ident: 675_CR7
  publication-title: J Am Stat Assoc
  doi: 10.1080/01621459.1993.10476372
– volume-title: An introduction to copulas
  year: 2006
  ident: 675_CR15
– volume: 15
  start-page: 141
  issue: 1
  year: 2011
  ident: 675_CR20
  publication-title: Hydrol Earth Syst Sci
  doi: 10.5194/hess-15-141-2011
– volume: 34
  start-page: 340
  year: 2011
  ident: 675_CR12
  publication-title: Adv Water Resour
  doi: 10.1016/j.advwatres.2010.12.010
– volume: 380
  start-page: 121
  year: 2010
  ident: 675_CR11
  publication-title: J Hydrol
  doi: 10.1016/j.jhydrol.2009.10.029
– volume: 10
  start-page: 111
  year: 1985
  ident: 675_CR27
  publication-title: Water Int
  doi: 10.1080/02508068508686328
– volume: 92
  start-page: 426
  issue: 2
  year: 2005
  ident: 675_CR5
  publication-title: J Multivar Anal
  doi: 10.1016/j.jmva.2003.10.006
– volume-title: Extremes in nature: an approach using copulas
  year: 2007
  ident: 675_CR18
  doi: 10.1007/1-4020-4415-1
– volume: 20
  start-page: 795
  issue: 5
  year: 2006
  ident: 675_CR22
  publication-title: Water Resour Manage
  doi: 10.1007/s11269-005-9008-9
– volume: 244
  start-page: 130
  year: 2011
  ident: 675_CR3
  publication-title: Quat Int
  doi: 10.1016/j.quaint.2010.08.013
– volume: 34
  start-page: 596
  year: 2009
  ident: 675_CR21
  publication-title: Phys Chem Earth
  doi: 10.1016/j.pce.2008.09.004
– volume: 44
  start-page: W02415
  year: 2008
  ident: 675_CR10
  publication-title: Water Resour Res
– volume: 391
  start-page: 77
  year: 2010
  ident: 675_CR2
  publication-title: J Hydrol
  doi: 10.1016/j.jhydrol.2010.07.008
– volume: 391
  start-page: 202
  year: 2010
  ident: 675_CR14
  publication-title: J Hydrol
  doi: 10.1016/j.jhydrol.2010.07.012
– volume: 17
  start-page: 253
  issue: 1
  year: 2011
  ident: 675_CR9
  publication-title: Bernoulli
  doi: 10.3150/10-BEJ279
– ident: 675_CR28
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SubjectTerms Aquatic Pollution
Basins
Chemistry and Earth Sciences
cities
Computational Intelligence
Computer Science
Drought
Droughts
Earth and Environmental Science
Earth Sciences
Economic development
Environment
Extreme drought
Hydrologic data
Hydrologic modeling
Hydrology
Math. Appl. in Environmental Science
Original Paper
Physics
Probabilistic methods
Probability
Probability theory
Probability Theory and Stochastic Processes
risk
risk assessment
River basins
river deltas
Rivers
socioeconomic development
Statistics for Engineering
Stream discharge
Stream flow
Waste Water Technology
Water availability
Water Management
Water Pollution Control
Water resources
Water supplies
Water supply
watersheds
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Title Copula-based risk evaluation of hydrological droughts in the East River basin, China
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