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摘要
The frequent occurrence of extreme heat wave events caused by global warming and rapid urbanization has affected human production and life. This paper using multi-source satellite remote sensing data and social economic statistical data, based on "high temperature risk, socio-economic vulnerability and risk adaptability" heat wave risk assessment system, to obtain the risk assessment results of typical heat wave events in the middle-lower Yangtze River in 2017. The results showed that the high-risk areas of heat wave grade were mainly distributed in the central cities of urban agglomerations and other urban central areas, mainly due to the joint effect of high urban heat temperature and social economic vulnerability. Around the central urban area, the risk level gradually decreases. Although the big cities had better adaptability to high temperature, they were far from coping with the high-temperature risk and vulnerability caused by urbanization. From the perspective of high-risk area, the heat wave risk of the Yangtze River Delta urban agglomeration was higher than the middle reaches of the Yangtze River, which was mainly related to the level of urbanization and the degree of population aggregation. Through Multi-source satellite remote sensing information data to obtain high-resolution spatial distribution information characteristics of heat wave risk in urban agglomerations, which can provide scientific reference for cities to effectively cope with high-temperature risk and strengthen regional disaster prevention and mitigation in the process of urbanization.
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