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Impacts of climate change-related flood events in the Yangtze River Basin based on multi-source data

文献类型：期刊论文

作者Yang, Peng1,3,5; Xia, Jun2,3; Luo, Xiangang5; Meng, Lingsheng4; Zhang, Shengqing1,5; Cai, Wei1,5; Wang, Wenyu1,5
刊名ATMOSPHERIC RESEARCH
出版日期2021-12-01
卷号263页码:12
关键词Flood events Yangtze River Basin Remote sensing Climate change
ISSN号0169-8095
DOI10.1016/j.atmosres.2021.105819
通讯作者Xia, Jun(xiaj@igsnrr.ac.cn) ; Zhang, Shengqing(1712743275@qq.com)
英文摘要Global 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.
WOS关键词GROUNDWATER DEPLETION ; WATER SECURITY ; GRACE ; CHINA ; VARIABILITY ; DYNAMICS ; VULNERABILITY ; CHALLENGES ; DROUGHT ; RISK
资助项目Wuhan 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]
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000702823900003
出版者ELSEVIER SCIENCE INC
资助机构Wuhan 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
源URL[http://ir.igsnrr.ac.cn/handle/311030/166011]  
专题中国科学院地理科学与资源研究所
通讯作者Xia, Jun; Zhang, Shengqing
作者单位1.China Univ Geosci, Hubei Key Lab Yangtze Catchment Environm Aquat Sc, Wuhan, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
3.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430000, Peoples R China
4.Hubei Jinlang Survey & Design Co Ltd, Wuhan 430000, Peoples R China
5.China Univ Geosci, Sch Geog & Informat Engn, Wuhan 430074, Peoples R China
推荐引用方式
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.

入库方式： OAI收割

来源：地理科学与资源研究所

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