Flash Flood Risk Assessment and Driving Factors: A Case Study of the Yantanxi River Basin, Southeastern China

被引:11
|
作者
Chen, Liutong [1 ,2 ,3 ]
Yan, Zhengtao [1 ,2 ,3 ]
Li, Qian [1 ,2 ,3 ]
Xu, Yingjun [1 ,2 ,3 ,4 ]
机构
[1] Beijing Normal Univ, Fac Geog Sci, Key Lab Environm Change & Nat Disaster, Minist Educ, Beijing 100875, Peoples R China
[2] Beijing Normal Univ, Acad Disaster Reduct & Emergency Management, Minist Emergency Management, Beijing 100875, Peoples R China
[3] Beijing Normal Univ, Minist Educ, Beijing 100875, Peoples R China
[4] Beijing Normal Univ, Sch Natl Safety & Emergency Management, Beijing 100875, Peoples R China
关键词
Asset values; China; Climate change; Extreme precipitation; Flash flood risk; Geographical detector; Tropical cyclones; CYCLONE EXTREME PRECIPITATION; FUTURE CHANGES; ASSET VALUE; CLIMATE; MODEL; POPULATION; SCENARIOS; LANDSLIDE; RAINFALL; LIGHTS;
D O I
10.1007/s13753-022-00408-3
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
In the context of climate change, the impact of extreme precipitation and its chain effects has intensified in the southeastern coastal region of China, posing a serious threat to the socioeconomic development in the region. This study took tropical cyclones-extreme precipitation-flash floods as an example to carry out a risk assessment of flash floods under climate change in the Yantanxi River Basin, southeastern China. To obtain the flash flood inundation characteristics through hydrologic-hydrodynamic modeling, the study combined representative concentration pathway (RCP) and shared socioeconomic pathway (SSP) scenarios to examine the change of flash flood risk and used the geographical detector to explore the driving factors behind the change. The results show that flash flood risk in the Yantanxi River Basin will significantly increase, and that socioeconomic factors and precipitation are the main driving forces. Under the RCP4.5-SSP2 and RCP8.5-SSP5 scenarios, the risk of flash floods is expected to increase by 88.79% and 95.57%, respectively. The main drivers in the case study area are GDP density (q = 0.85), process rainfall (q = 0.74), asset density (q = 0.68), and population density (q = 0.67). The study highlights the influence of socioeconomic factors on the change of flash flood disaster risk in small river basins. Our findings also provide a reference for regional planning and construction of flood control facilities in flash flood-prone areas, which may help to reduce the risk of flash floods.
引用
收藏
页码:291 / 304
页数:14
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