Characteristics of Spatial and Temporal Distribution and Disaster-Causing Rainfall of Flood Disasters in Qinghai Province
Based on the disaster records during 2008-2020 in Qinghai province,the disaster index is used to study the spatial and temporal distribution characteristics of flood disasters,and high-risk areas are identified.Additionally,a flood disaster prediction model is constructed by machine learning algorithms utilizing the multi-source fusion CLDAS precipitation data from 2017 to 2020,and the disaster-causing rainfall threshold of high-risk area is calculated.The findings indicate that:(1)The highest number of flood disasters,sum to 98,occurred in 2018,while the lowest number,sum to 16,occurred in 2014.The most devastating floods occur in July and August.Based on the annual mean number of disasters in Qinghai,Hainan-eastern Haixi prefecture is the high-risk area of flood disasters,and based on the annual average disaster index,Haidong-Xining is another high-risk area.(2)The 1,2,and 24 h rain intensity of CLDAS data are significant parameters for disasters prediction using a variety of machine learning techniques.The precipitation threshold of Hainan and the eastern part of Haixi prefecture is that the maximum rain intensity of 1 h or 2 h reaches 6.8 mm,or that of 24 h reaches 11.1 mm,while the threshold of Haidong-Xining and nearby areas is that the maximum rain intensity of 1 h or 2 h reaches 13 mm,or that of 24 h reaches 18.2 mm.
国家科技期刊平台
NSTL
万方数据
维普
