Research on the Statistical Assessment and Influencing Factors of Heat Wave Risk in Fuxia City Based on Multi-source Data
Utilizing data from Fuzhou and Xiamen in Fujian Province from 2013 to 2022,extreme heat waves were employed as the focal point to conduct a comprehensive statistical assessment of vulnerability across three dimensions such as risk exposure,sensitivity and adaptability.Furthermore,the influencing factors of extreme heat waves were examined using geographically weighted regression and geographic detector models.The findings reveal that disparities in geographical environmental conditions and socio-economic development levels between Fuzhou and Xiamen have resulted in varying degrees of extreme heat waves in both cities,with Xiamen demonstrating heightened vulnerability across multiple indicators.The resident population size,level of economic development and green space coverage within urban areas exert significant influence on extreme heat waves.Specifically,GDP and green space coverage yield negative impacts while the resident population yields positive effects.Additionally,financial resources and technological infrastructure also moderately impact the occurrence of extreme heat waves in both cities.Therefore,amidst global climate change and frequent meteorological disasters,optimizing population distribution alongside waterways is imperative along with augmenting urban greening initiatives to enhance vegetation coverage rates while concurrently improving infrastructure construction to ensure economic development aligns harmoniously with ecological benefits.
万方数据
维普
