The warming climate-induced intensification of hydrological cycle is amplifying extreme precipitation and increasing flood risk at regional and global scales. The evaluation of flood risk, which depends on assessment indicators, weights, as well as data quality, is the first step toward mitigation flood disasters. In this study, we accepted ten risk assessment indicators concerning hazard of disaster-causing factors, sensitivity of hazard-forming environments, and vulnerability of disaster-bearing bodies. We used a combined weighting method based on the analytic hierarchy process and entropy weight (AHP-EW) technique to evaluate rainstorm-induced flood risks across the Yellow River Basin (YRB) from 2000 to 2018. We observed flood hazards are intensifying across the YRB. Specifically, areas with medium flood hazards expanded from the lower to the middle and upper YRB. The sensitivity to floods exhibited a spatial pattern of increasing from southeast to northwest (lower to upper YRB). The increase in vegetation coverage in the middle and upper reaches of the YRB reduces the sensitivity to flood disasters. Flood vulnerability shows an increasing trend, with higher vulnerability mainly observed in the middle and lower YRB. The overall flood risk in the YRB shows an increasing trend, with a 9-fold increase in flood risk from 2000 to 2018. Medium to high flood risk and vulnerability can mainly be identified in the middle and lower YRB, where population and gross domestic product are concentrated. The intensifying rainstorm-induced flood risks over urban areas in these regions should arouse public concern.
Mayra Alejandra Estrella Núñez, Alkmini Firtinidou-Stergiou, Margherita Rago, Chenxin Jonathan Yee, Alberto Barontini, Tiago Miguel Ferreira, Daniel V. Oliveira
Tiago Miguel Ferreira, Haiyun Shi, Shirley Gato-Trinidad, Jamie M. Carroll, Ezreena Aladin, Tristan Gilbert, Mayra Alejandra, Estrella Núñez, Alkmini Firtinidou-Stergiou, Margherita Rago, Jonathan Chenxin, Alberto Yee, Tiago Barontini, Daniel Wanderson Ferreira, Trond Knapp, Johnny Douvinet, Alberto Barontini, Daniel V. Oliveira, Yao Wang, Suning Liu, Zhaoqiang Zhou, Yasumitsu Maejima
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