Copula-Based Joint Probability Analysis of Compound Floods from Rainstorm and Typhoon Surge: A Case Study of Jiangsu Coastal Areas, China

Coastal areas are vulnerable to floods caused by rainstorms and typhoons. It is necessary to ascertain the risk of floods caused by both of these extreme weather events. A conceptual risk model is proposed to evaluate the rainstorm risk, typhoon surge risk, and the compound risk in the coastal areas...

Full description

Saved in:
Bibliographic Details
Published inSustainability Vol. 10; no. 7; p. 2232
Main Authors Ai, Ping, Yuan, Dingbo, Xiong, Chuansheng
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 28.06.2018
Subjects
Case studies
China
Coasts
Floods
Hydrology
Precipitation
probability distribution
Rain
Random variables
risk
Rivers
stormwater
typhoons
Jiangsu China
United States > US
China
Huaihe River
Online AccessGet full text

Cover

Abstract Coastal areas are vulnerable to floods caused by rainstorms and typhoons. It is necessary to ascertain the risk of floods caused by both of these extreme weather events. A conceptual risk model is proposed to evaluate the rainstorm risk, typhoon surge risk, and the compound risk in the coastal areas of Jiangsu Province during the period of 1960–2012. The results of the model show that the typhoon surge risk in the study region is greater than the rainstorm risk. Three Archimedean copulas were used to fit the joint probability distributions of the compound events. The Frank copula and the Gumbel copula proved to be the best-fitting joint distribution function for the Huaibei plain district and the Lixiahe district, respectively. The probability of the extreme compound events not happening is less than 90% in the study region. This means that the flood risk is mainly subject to the encounter of a low-level rainstorm and a low-level typhoon surge. The study shows that the northern region of Jiangsu Province is more vulnerable to the compound risk, and that we should pay more attention to the floods caused by the compound events of rainstorm and typhoon surge.
AbstractList Coastal areas are vulnerable to floods caused by rainstorms and typhoons. It is necessary to ascertain the risk of floods caused by both of these extreme weather events. A conceptual risk model is proposed to evaluate the rainstorm risk, typhoon surge risk, and the compound risk in the coastal areas of Jiangsu Province during the period of 1960–2012. The results of the model show that the typhoon surge risk in the study region is greater than the rainstorm risk. Three Archimedean copulas were used to fit the joint probability distributions of the compound events. The Frank copula and the Gumbel copula proved to be the best-fitting joint distribution function for the Huaibei plain district and the Lixiahe district, respectively. The probability of the extreme compound events not happening is less than 90% in the study region. This means that the flood risk is mainly subject to the encounter of a low-level rainstorm and a low-level typhoon surge. The study shows that the northern region of Jiangsu Province is more vulnerable to the compound risk, and that we should pay more attention to the floods caused by the compound events of rainstorm and typhoon surge.
Author Ai, Ping
Xiong, Chuansheng
Yuan, Dingbo
Author_xml – sequence: 1
  givenname: Ping
  surname: Ai
  fullname: Ai, Ping
– sequence: 2
  givenname: Dingbo
  surname: Yuan
  fullname: Yuan, Dingbo
– sequence: 3
  givenname: Chuansheng
  orcidid: 0000-0002-9558-1965
  surname: Xiong
  fullname: Xiong, Chuansheng
BookMark eNptkctqFkEQRhtJwJhk4xM0uBFxtC9_z8Xdn8GoIZBg4nqomelOOvR0jX1ZzCP41naIoARrUwV1vrOoekUOPHpNyGvOPkjZsY8xc8YaIaR4QY4Ea3jFmWIH_8wvyWmMD6yUlLzj9RH51eOaHVRnEPVML9D6RK8DjjBaZ9NG9x7cFm2kaGiPy4rZz_TcIc6RmoAL_Q7Wx4RhoVA2t9t6j-jpTQ53-hPd07546U3K8_ZouLDg72IuJogJHN0HDfE97e-thxNyaMBFffqnH5Mf559v-6_V5dWXb_3-spqkaFMFsxwFG_UkJ6mkMd1ONbVmrRobUEYrwea6NaZtGjVqDjs5TobNjdS1nlnNR3lM3j5514A_s45pWGyctHPgNeY4CNnseFvvlCjom2foA-ZQLlIo1YpOCNGpQrEnagoYY9BmmGyCZNGnANYNnA2P7xn-vqdE3j2LrMEuELb_wb8B3sKR_g
CitedBy_id crossref_primary_10_18307_2020_0121
crossref_primary_10_1016_j_oceaneng_2022_112560
crossref_primary_10_1111_ejss_13261
crossref_primary_10_1016_j_ehb_2022_101148
crossref_primary_10_1016_j_jhydrol_2023_129166
crossref_primary_10_1016_j_scs_2022_104184
crossref_primary_10_4018_IJIIT_2020070104
crossref_primary_10_3390_rs16020350
crossref_primary_10_3390_w11081534
crossref_primary_10_1007_s00477_022_02374_0
crossref_primary_10_5194_nhess_23_3379_2023
crossref_primary_10_1007_s00704_024_05228_7
crossref_primary_10_5194_nhess_25_747_2025
crossref_primary_10_3390_su15129203
Cites_doi 10.1007/s11069-015-1737-3
10.1002/hyp.10360
10.1038/nature12855
10.1088/1748-9326/aa6cb3
10.1016/j.oceaneng.2006.09.005
10.3390/w9050334
10.1126/science.1112122
10.1016/j.coastaleng.2014.09.007
10.1002/env.1027
10.1007/s11069-013-0654-6
10.1002/2016WR020242
10.1038/nclimate1979
10.1175/JTECH-D-12-00119.1
10.2166/nh.2010.048
10.1214/08-AOS666
10.1214/009053606000000984
10.1016/0022-1694(81)90102-5
10.1016/j.jmva.2004.07.004
10.1175/2008BAMS2631.1
10.1002/jae.1197
10.1111/jfr3.12180
10.1093/mnras/225.1.155
10.1007/s10584-012-0468-7
10.1080/01621459.1993.10476372
10.1007/s11431-010-4158-2
10.1007/978-94-017-1431-0
10.1007/s11069-016-2736-8
10.5194/nhess-11-2925-2011
10.1007/s00477-016-1262-2
10.1016/j.apor.2016.01.005
10.2307/2284828
ContentType Journal Article
Copyright 2018 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 (http://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: 2018 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 (http://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
4U-
ABUWG
AFKRA
AZQEC
BENPR
CCPQU
DWQXO
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQQKQ
PQUKI
7S9
L.6
DOI 10.3390/su10072232
DatabaseName CrossRef
University Readers
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Central Essentials
ProQuest Central
ProQuest One Community College
ProQuest Central
ProQuest Central Premium
ProQuest One Academic
Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
AGRICOLA
AGRICOLA - Academic
DatabaseTitle CrossRef
Publicly Available Content Database
University Readers
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest One Academic Eastern Edition
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest Central
ProQuest One Academic UKI Edition
ProQuest Central Korea
ProQuest Central (New)
ProQuest One Academic
ProQuest One Academic (New)
AGRICOLA
AGRICOLA - Academic
DatabaseTitleList Publicly Available Content Database
CrossRef
AGRICOLA
Database_xml – sequence: 1
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Economics
Environmental Sciences
EISSN 2071-1050
ExternalDocumentID 10_3390_su10072232
GeographicLocations Jiangsu China
United States--US
China
Huaihe River
GeographicLocations_xml – name: China
– name: Huaihe River
– name: Jiangsu China
– name: United States--US
GroupedDBID 29Q
2WC
4P2
5VS
7XC
8FE
8FH
A8Z
AAHBH
AAYXX
ACHQT
ADBBV
ADMLS
AENEX
AFKRA
AFMMW
ALMA_UNASSIGNED_HOLDINGS
BCNDV
BENPR
CCPQU
CITATION
E3Z
ECGQY
FRS
GX1
KQ8
ML.
MODMG
M~E
OK1
P2P
PHGZM
PHGZT
PIMPY
PROAC
TR2
4U-
ABUWG
AZQEC
DWQXO
PKEHL
PQEST
PQQKQ
PQUKI
7S9
L.6
PUEGO
ID FETCH-LOGICAL-c328t-ad3b20bec3c353ff94576e085b7a5fe520d68ff8775be1a43bcf0d73e6ed061b3
IEDL.DBID BENPR
ISSN 2071-1050
IngestDate Sun Aug 24 04:07:20 EDT 2025
Mon Jun 30 11:13:21 EDT 2025
Tue Jul 01 02:47:23 EDT 2025
Thu Apr 24 22:52:30 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 7
Language English
License https://creativecommons.org/licenses/by/4.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c328t-ad3b20bec3c353ff94576e085b7a5fe520d68ff8775be1a43bcf0d73e6ed061b3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ORCID 0000-0002-9558-1965
OpenAccessLink https://www.proquest.com/docview/2582922295?pq-origsite=%requestingapplication%
PQID 2582922295
PQPubID 2032327
ParticipantIDs proquest_miscellaneous_2374186452
proquest_journals_2582922295
crossref_citationtrail_10_3390_su10072232
crossref_primary_10_3390_su10072232
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2018-06-28
PublicationDateYYYYMMDD 2018-06-28
PublicationDate_xml – month: 06
  year: 2018
  text: 2018-06-28
  day: 28
PublicationDecade 2010
PublicationPlace Basel
PublicationPlace_xml – name: Basel
PublicationTitle Sustainability
PublicationYear 2018
Publisher MDPI AG
Publisher_xml – name: MDPI AG
References Wang (ref_6) 2012; 115
Buchanan (ref_23) 2017; 12
Wahl (ref_5) 2011; 11
Srikanthan (ref_27) 1981; 52
ref_14
ref_12
ref_33
ref_31
Zheng (ref_39) 2017; 10
Ying (ref_25) 2014; 31
Genest (ref_35) 2007; 35
ref_19
Liu (ref_29) 2015; 29
Wu (ref_24) 2017; 31
ref_38
ref_15
Adger (ref_3) 2005; 309
Chebana (ref_10) 2011; 22
Wu (ref_4) 2015; 78
Hu (ref_16) 2010; 53
Tao (ref_18) 2013; 68
Li (ref_30) 2016; 56
Jenqtzong (ref_17) 2010; 41
Hallegatte (ref_2) 2013; 3
Salvadori (ref_11) 2015; 95
Hafner (ref_34) 2012; 27
ref_20
Genest (ref_37) 1993; 88
Sklar (ref_13) 1996; 28
Fasano (ref_32) 1987; 225
ref_28
Woodruff (ref_22) 2013; 504
Denny (ref_8) 1972; 68
ref_26
ref_9
Omelka (ref_36) 2009; 37
Dong (ref_21) 2017; 86
Tseng (ref_1) 2007; 34
Qiang (ref_7) 2009; 90
References_xml – ident: ref_9
– volume: 78
  start-page: 635
  year: 2015
  ident: ref_4
  article-title: Integrated flood risk assessment and zonation method: A case study in Huaihe River basin, China
  publication-title: Nat. Hazards
  doi: 10.1007/s11069-015-1737-3
– volume: 29
  start-page: 2112
  year: 2015
  ident: ref_29
  article-title: Climate-informed low-flow frequency analysis using nonstationary modelling
  publication-title: Hydrol. Process.
  doi: 10.1002/hyp.10360
– volume: 504
  start-page: 44
  year: 2013
  ident: ref_22
  article-title: Coastal flooding by tropical cyclones and sea-level rise
  publication-title: Nature
  doi: 10.1038/nature12855
– volume: 12
  start-page: 64009
  year: 2017
  ident: ref_23
  article-title: Amplification of flood frequencies with local sea level rise and emerging flood regimes
  publication-title: Environ. Res. Lett.
  doi: 10.1088/1748-9326/aa6cb3
– ident: ref_26
– volume: 34
  start-page: 1757
  year: 2007
  ident: ref_1
  article-title: Application of artificial neural networks in typhoon surge forecasting
  publication-title: Ocean Eng.
  doi: 10.1016/j.oceaneng.2006.09.005
– ident: ref_15
  doi: 10.3390/w9050334
– volume: 309
  start-page: 1036
  year: 2005
  ident: ref_3
  article-title: Social-Ecological Resilience to Coastal Disasters
  publication-title: Science
  doi: 10.1126/science.1112122
– volume: 95
  start-page: 77
  year: 2015
  ident: ref_11
  article-title: Practical guidelines for the multivariate assessment of the structural risk in coastal and off-shore engineering
  publication-title: Coast. Eng.
  doi: 10.1016/j.coastaleng.2014.09.007
– volume: 22
  start-page: 63
  year: 2011
  ident: ref_10
  article-title: Multivariate quantiles in hydrological frequency analysis
  publication-title: Environmetrics
  doi: 10.1002/env.1027
– volume: 68
  start-page: 791
  year: 2013
  ident: ref_18
  article-title: Estimating storm surge intensity with Poisson bivariate maximum entropy distributions based on copulas
  publication-title: Nat. Hazards
  doi: 10.1007/s11069-013-0654-6
– ident: ref_14
– ident: ref_31
  doi: 10.1002/2016WR020242
– volume: 3
  start-page: 802
  year: 2013
  ident: ref_2
  article-title: Future flood losses in major coastal cities
  publication-title: Nat. Clim. Chang.
  doi: 10.1038/nclimate1979
– volume: 31
  start-page: 287
  year: 2014
  ident: ref_25
  article-title: An Overview of the China Meteorological Administration Tropical Cyclone Database
  publication-title: J. Atmos. Ocean. Technol.
  doi: 10.1175/JTECH-D-12-00119.1
– volume: 41
  start-page: 414
  year: 2010
  ident: ref_17
  article-title: Copula-based depth-duration-frequency analysis of typhoons in Taiwan
  publication-title: Hydrol. Res.
  doi: 10.2166/nh.2010.048
– volume: 37
  start-page: 3023
  year: 2009
  ident: ref_36
  article-title: Improved Kernel Estimation of Copulas: Weak Convergence and Goodness-of-Fit Testing
  publication-title: Ann. Stat.
  doi: 10.1214/08-AOS666
– volume: 35
  start-page: 166
  year: 2007
  ident: ref_35
  article-title: Asymptotic Local Efficiency of Cramér-Von Mises Tests for Multivariate Independence
  publication-title: Ann. Stat.
  doi: 10.1214/009053606000000984
– volume: 52
  start-page: 161
  year: 1981
  ident: ref_27
  article-title: Log Pearson III distribution—An empirically-derived plotting position
  publication-title: J. Hydrol.
  doi: 10.1016/0022-1694(81)90102-5
– ident: ref_33
– ident: ref_38
  doi: 10.1016/j.jmva.2004.07.004
– ident: ref_12
– volume: 90
  start-page: 489
  year: 2009
  ident: ref_7
  article-title: Tropical cyclone damages in China 1983–2006
  publication-title: Am. Meteorol. Soc.
  doi: 10.1175/2008BAMS2631.1
– volume: 27
  start-page: 269
  year: 2012
  ident: ref_34
  article-title: Dynamic stochastic copula models: Estimation, inference and applications
  publication-title: J. Appl. Econom.
  doi: 10.1002/jae.1197
– volume: 10
  start-page: 522
  year: 2017
  ident: ref_39
  article-title: Application of the design variable method to estimate coastal flood risk
  publication-title: J. Flood Risk Manag.
  doi: 10.1111/jfr3.12180
– volume: 28
  start-page: 1
  year: 1996
  ident: ref_13
  article-title: Random Variables, Distribution Functions, and Copulas: A Personal Look Backward and Forward
  publication-title: Lect. Notes Monogr. Ser.
– volume: 225
  start-page: 9
  year: 1987
  ident: ref_32
  article-title: A multidimensional version of the Kolmogorov–Smirnov test
  publication-title: Mon. Not. R. Astron. Soc.
  doi: 10.1093/mnras/225.1.155
– volume: 115
  start-page: 537
  year: 2012
  ident: ref_6
  article-title: Evaluation of the combined risk of sea level rise, land subsidence, and storm surges on the coastal areas of Shanghai, China
  publication-title: Clim. Chang.
  doi: 10.1007/s10584-012-0468-7
– volume: 88
  start-page: 1034
  year: 1993
  ident: ref_37
  article-title: Statistical Inference Procedures for Bivariate Archimedean Copulas
  publication-title: Publ. Am. Stat. Assoc.
  doi: 10.1080/01621459.1993.10476372
– volume: 53
  start-page: 3331
  year: 2010
  ident: ref_16
  article-title: Encounter probability analysis of typhoon and plum rain in the Taihu Lake Basin
  publication-title: Sci. China Technol. Sci.
  doi: 10.1007/s11431-010-4158-2
– ident: ref_28
  doi: 10.1007/978-94-017-1431-0
– ident: ref_19
– volume: 86
  start-page: 1193
  year: 2017
  ident: ref_21
  article-title: Joint return probability analysis of wind speed and rainfall intensity in typhoon-affected sea area
  publication-title: Nat. Hazards
  doi: 10.1007/s11069-016-2736-8
– volume: 11
  start-page: 2925
  year: 2011
  ident: ref_5
  article-title: Assessing the hydrodynamic boundary conditions for risk analyses in coastal areas: A stochastic storm surge model
  publication-title: Nat. Hazards Earth Syst. Sci.
  doi: 10.5194/nhess-11-2925-2011
– volume: 31
  start-page: 935
  year: 2017
  ident: ref_24
  article-title: Changing of flood risk due to climate and development in Huaihe River basin, China
  publication-title: Stoch. Environ. Res. Risk Assess.
  doi: 10.1007/s00477-016-1262-2
– ident: ref_20
– volume: 56
  start-page: 35
  year: 2016
  ident: ref_30
  article-title: Estimation of mean and extreme waves in the East China Seas
  publication-title: Appl. Ocean Res.
  doi: 10.1016/j.apor.2016.01.005
– volume: 68
  start-page: 755
  year: 1972
  ident: ref_8
  article-title: Probability and Statistics in Hydrology
  publication-title: J. Am. Stat. Assoc.
  doi: 10.2307/2284828
SSID ssj0000331916
Score 2.223129
Snippet Coastal areas are vulnerable to floods caused by rainstorms and typhoons. It is necessary to ascertain the risk of floods caused by both of these extreme...
SourceID proquest
crossref
SourceType Aggregation Database
Enrichment Source
Index Database
StartPage 2232
SubjectTerms Case studies
China
Coasts
Floods
Hydrology
Precipitation
probability distribution
Rain
Random variables
risk
Rivers
stormwater
typhoons
Title Copula-Based Joint Probability Analysis of Compound Floods from Rainstorm and Typhoon Surge: A Case Study of Jiangsu Coastal Areas, China
URI https://www.proquest.com/docview/2582922295
https://www.proquest.com/docview/2374186452
Volume 10
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1JS8NAFH64HPQirlg3RvQiGEwzyST1IlpapaCIC_QWMpsKmqhJD_4E_7XvpZMWQTzn8Ujy1m_mLQCHERcyjtraU0IHCFB86UmMq57gKu7IOqWm3uHrG3H1GA6G0dAduJWurLLxibWj1oWiM_KTIEqCTr18-uz9w6OtUXS76lZozMI8uuAEwdf8Re_m9m5yyuJzVLG2GM8l5YjvUb5UF4BBMfgdiX474jq69JdhyaWF7HwsxxWYMfkqLDRdw-UqbPSmHWlI6EyyXIPvbr2Cy7vAcKTZoHjJK3b7iVZaV71-sWbqCCssI-OnNUqsT-XqJaPeEkY3PFQi-cYyfIK49LkocnZP7dKn7Jx1kS-jasMv4jBAbXoqR8gpK6v6hU1WHrN6C_c6PPZ7D90rz-1X8BQPksrLNJeBj0Lkikfc2k6I4MNgDibjLLImCnwtEmuTOI6kaWchl8r6OuZGGI1pgOQbMJcXudkEhqBIYuiPfStMaAR-o-WhiRXiFZVo7rfgqPnXqXLDx2kHxmuKIITkkk7l0oKDCe37eOTGn1Q7jchSZ3ZlOlWSFuxPHqPB0C1IlptihDScBvbQfe7W_yy2YRGzo4TqwoJkB-aqz5HZxQykkntOzfZg9nLY_gFByd5K
linkProvider ProQuest
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3NTttAEB7RcKAX1NKiBtKyVdtDJaw6u_baQaoqCIlCgAgVkLgZ719bqdgUO6ryCLxMn7Ezjp0IqeqN845G653Z-fHOzAfwPhRSRWHXeFoajgmKrzyFftWTQkc9VYXU1Dt8OpGjy2B8FV6twJ-mF4bKKhubWBlqk2v6R_6JhzHvVeDTX25_eYQaRa-rDYTGXC2O7ew3pmzF56NDlO8HzoeDi_7Iq1EFPC14XHqpEYr7uHWhRSic6wUYcluMPFSUhs6G3Dcydi6OolDZbhoIpZ1vImGlNej8lEC-T2A1EJjKtGD1YDA5-7r4q-MLVOmunM9BFaLnoz5RHQI6Yf7Q8z00_JU3Gz6D9ToMZftzvXkOKzbbgLWmS7nYgM3BsgMOCWsTULyA-34F-eUdoPszbJz_yEp2dodWoaqynbFmygnLHSNjQ7BNbEjl8QWjXhZGL0pUknnDUlzBPPh7nmfsnNqz99g-6yNfRtWNM-IwRu39VkyRU1qU1YZtWuyyCvX7JVw-yslvQivLM_sKGCZhCkONyHfSBlbiNzoR2EhjfqRjI_w2fGzOOtH1sHPC3PiZYNJDckmWcmnDuwXt7XzExz-pOo3IkvqaF8lSKdvwdrGMF5ReXdLM5lOkETQgiN6Pt_7PYgfWRhenJ8nJ0eR4G55iZBZTTRqPO9Aq76b2NUY_pXpTqxyD68fW8r_G7xuL
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1fb9MwED-NTgJeJhhMFAYYAQ9IRHPtxE6RJrR1rbYOqgqYtLcQxzabBMm2pEL9CHwlPt3u0qTVJMTbnn06xb6f7098fwDeRFIZHfVskCkrMEDhJjBoVwMlM903tUtNtcOfJ-rwJByfRqdr8LethaG0ylYn1oraFhn9I98RUSz69fDpHd-kRUwPRh8vLgOaIEUvre04jQVEjt38N4Zv5e7RAcr6rRCj4bfBYdBMGAgyKeIqSK00guM2ZCYj6X0_RPfboRdidBp5FwluVex9rHVkXC8Npck8t1o65SwaQiOR7x1Y1xgV8Q6s7w8n0y_LPzxcIrx7atETVco-R2xRTgIaZHHTCt40ArVlGz2AjcYlZXsLDD2ENZdvwr22YrnchK3hqhoOCRt1UD6CP4N6_Fewj6bQsnFxnldseoUaos64nbO24wkrPCPFQyOc2IhS5UtGdS2MXpcoPfMXS3EFY-KzosjZVyrV_sD22AD5Msp0nBOHMSL5RzlDTmlZ1R_s0vI9qyeAP4aTWzn5LejkRe6eAMOAzKDboblXLnQK9-hl6HSGsVIWW8m78K496yRrGp_T_I2fCQZAJJdkJZcuvF7SXizaffyTarsVWdJc-TJZAbQLr5bLeFnpBSbNXTFDGknNgugt-en_WbyEu4ju5NPR5PgZ3EcnLab0NBFvQ6e6mrnn6AhV5kWDOAbfbxvk15BBH8A
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=Copula-Based+Joint+Probability+Analysis+of+Compound+Floods+from+Rainstorm+and+Typhoon+Surge%3A+A+Case+Study+of+Jiangsu+Coastal+Areas%2C+China&rft.jtitle=Sustainability&rft.au=Ai%2C+Ping&rft.au=Yuan%2C+Dingbo&rft.au=Xiong%2C+Chuansheng&rft.date=2018-06-28&rft.issn=2071-1050&rft.eissn=2071-1050&rft.volume=10&rft.issue=7&rft.spage=2232&rft_id=info:doi/10.3390%2Fsu10072232&rft.externalDBID=n%2Fa&rft.externalDocID=10_3390_su10072232
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2071-1050&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2071-1050&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2071-1050&client=summon