IGSNRR OpenIR
Impacts of climate change-related flood events in the Yangtze River Basin based on multi-source data
Yang, Peng1,2,3; Xia, Jun3,4; Luo, Xiangang1; Meng, Lingsheng5; Zhang, Shengqing1,2; Cai, Wei1,2; Wang, Wenyu1,2
2021-12-01
Source PublicationATMOSPHERIC RESEARCH
ISSN0169-8095
Volume263Pages:12
Corresponding AuthorXia, Jun(xiaj@igsnrr.ac.cn) ; Zhang, Shengqing(1712743275@qq.com)
AbstractGlobal losses caused by floods are gradually increasing under the influence of climate change and human activities. The Yangtze River (YR) economic belt has continued to experience frequent flood disasters over the years; therefore, clarifying the significant flood risk factors is highly relevant for the development of the region. In this study, we investigated the flood risk factors in the Yangtze River Basin (YRB) during 2002-2018 based on meteorological data, reconstructed terrestrial water storage (TWS) data from Gravity Recovery Climate Experiment (GRACE) (GRACE-TWS), and Landsat data. The major conclusions were as follows: (1) the principal components (i.e., the first, third, and fourth principal components (PC1, PC3, and PC4)) of Standardized Precipitation Evapotranspiration Index (SPEI) at a 12-month scale (SPEI12) were more significantly (P < 0.05) correlated with teleconnection indices (i.e., Atlantic Multi-decadal Oscillation (AMO), Pacific Decadal Oscillation (PDO), Southern Oscillation Indices (SOO, and Multivariate El Nino-Southern Oscillation (ENSO) Index (MEI)), than the SPEI at 6-month scale (SPEI6) in the YRB during 2002-2018; (2) the changes in water bodies reflected by Landsat data (i.e., Landsat 5, Landsat 7, and Landsat 8 OLI) for the YRB confirmed the wet periods (i.e., 2002-2005, 2010, 2012-2013, and 2015-2018) monitored by SPEI (i.e., SPEI6 and SPEI12); and (3) while the Pearson correlation coefficients indicated a significant linear relationship between the major hydrological factors (e.g., precipitation, runoff, GRACE-TWS, flood potential index (FPI), and soil moisture (SM)) in the YRB, the precipitation detected by the GRACE-TWS and SM with one-month lag phase, had the maximum correlation coefficients of 0.83 and 0.85, respectively. Significant relationships (r(2) = 0.48 and r(2) = 0.92, P < 0.05) were found between variable infiltration capacity (VIC)-runoff and predicted runoffs based on these factors (i.e., precipitation, GRACE-TWS, flood potential index (FPI), and SM) and the random forest regression. This study provides significant hydrological information and contributes to approaches aimed at supporting climate resilience and investments in the YRB.
KeywordFlood events Yangtze River Basin Remote sensing Climate change
DOI10.1016/j.atmosres.2021.105819
WOS KeywordGROUNDWATER DEPLETION ; WATER SECURITY ; GRACE ; CHINA ; VARIABILITY ; DYNAMICS ; VULNERABILITY ; CHALLENGES ; DROUGHT ; RISK
Indexed BySCI
Language英语
Funding ProjectWuhan University, Visiting Researcher Fund Program of State Key Laboratory of Water Resources and Hydropower Engineering Science[2020SWG01] ; National Nature Science Foundation of China[41890823] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23040304] ; Youth Fund for Humanities and Social Science Research of the Ministry of Education[20YJCZH207]
Funding OrganizationWuhan University, Visiting Researcher Fund Program of State Key Laboratory of Water Resources and Hydropower Engineering Science ; National Nature Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Youth Fund for Humanities and Social Science Research of the Ministry of Education
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000702823900003
PublisherELSEVIER SCIENCE INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/166012
Collection中国科学院地理科学与资源研究所
Corresponding AuthorXia, Jun; Zhang, Shengqing
Affiliation1.China Univ Geosci, Sch Geog & Informat Engn, Wuhan 430074, Peoples R China
2.China Univ Geosci, Hubei Key Lab Yangtze Catchment Environm Aquat Sc, Wuhan, Peoples R China
3.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430000, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
5.Hubei Jinlang Survey & Design Co Ltd, Wuhan 430000, Peoples R China
Recommended Citation
GB/T 7714
Yang, Peng,Xia, Jun,Luo, Xiangang,et al. Impacts of climate change-related flood events in the Yangtze River Basin based on multi-source data[J]. ATMOSPHERIC RESEARCH,2021,263:12.
APA Yang, Peng.,Xia, Jun.,Luo, Xiangang.,Meng, Lingsheng.,Zhang, Shengqing.,...&Wang, Wenyu.(2021).Impacts of climate change-related flood events in the Yangtze River Basin based on multi-source data.ATMOSPHERIC RESEARCH,263,12.
MLA Yang, Peng,et al."Impacts of climate change-related flood events in the Yangtze River Basin based on multi-source data".ATMOSPHERIC RESEARCH 263(2021):12.
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