气候变化领域集成服务门户(CCPortal): Impacts of climate change-related flood events in the Yangtze River Basin based on multi-source data

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DOI	10.1016/j.atmosres.2021.105819
	Impacts of climate change-related flood events in the Yangtze River Basin based on multi-source data
	Yang P.; Xia J.; Luo X.; Meng L.; Zhang S.; Cai W.; Wang W.
发表日期	2021
ISSN	0169-8095
卷号	263
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 (SOI), and Multivariate El Niño-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 (r2 = 0.48 and r2 = 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. © 2021
英文关键词	Climate change; Flood events; Remote sensing; Yangtze River Basin
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/236593
作者单位	School of Geography and Information Engineering, China University of Geosciences, Wuhan, 430074, China; Hubei Key Laboratory of Yangtze Catchment Environmental Aquatic Science, China University of Geosciences, Wuhan, China; State Key Laboratory of Water Resources and Hydropower Engineering Sciences, Wuhan University, Wuhan, 430000, China; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; Hubei Jinlang Survey and Design Co., Ltd., Wuhan, 430000, China
推荐引用方式 GB/T 7714	Yang P.,Xia J.,Luo X.,et al. Impacts of climate change-related flood events in the Yangtze River Basin based on multi-source data[J],2021,263.
APA	Yang P..,Xia J..,Luo X..,Meng L..,Zhang S..,...&Wang W..(2021).Impacts of climate change-related flood events in the Yangtze River Basin based on multi-source data.Atmospheric Research,263.
MLA	Yang P.,et al."Impacts of climate change-related flood events in the Yangtze River Basin based on multi-source data".Atmospheric Research 263(2021).