Climate change increases the intensity,frequency,and duration of heatwave events that present a threat to human health.Fine-scale heat vulnerability assessment of megacities through a geographical perspective has important guiding significance for high-temperature disaster risk prevention and mitigation.This study aimed to explore the spatial differentiation pattern and influencing factors of heat vulnerability in the central urban area of Guangzhou City.First,we established a model of heat vulnerability based on four components including exposure,social sensitivity,physical sensitivity,and adaptive capacity,and adopted 14 indicators to assess population heat vulnerability at the community level.Second,we used equal weight approach(EWA),entropy weight method(EWM),and principal component analysis(PCA)to calculate heat vulnerability respectively,and validated three assessment results using heat-related mortality.Then based on the specific assessment of heat vulnerability that has the strongest correlation with heat-related mortality,we explored the spatial differentiation pattern of heat vulnerability in Guangzhou City.An obstacle degree model was furthered employed to explore the driving factors of heat vulnerability.Our findings indicate that heat vulnerability shows significant spatial agglomeration.The areas with high heat vulnerability are mainly distributed along the expansion direction of the urban built-up area.Communities within the inner ring road have extremely high heat vulnerability,characterized by high exposure,high social sensitivity,high physical sensitivity,and high adaptive capacity.Communities with high heat vulnerability should pay particular attention to the elderly population,especially the elderly with poor health and living alone.Meanwhile,decades-old residential communities and communities at risk of high heat exposure should also make multi-pronged heat action plans to reduce heat-related mortality and morbidity.This study enriches the assessment framework of heat vulnerability for risk identification,driving factor exploration,and developing strategies for the prevention and mitigation of heatwave disasters for urban communities.
heatpopulation vulnerabilityobstacle degree modelinfluencing factorsGuangzhou City
维普
万方数据
