1.华中科技大学建筑与城市规划学院,湖北 武汉,430074
2.湖北省城镇化工程技术研究中心,湖北 武汉,430074
3.浙江大学建筑设计研究院有限公司,浙江 杭州,310028
4.杭州境合规划设计研究院有限公司,浙江 杭州,311100
方云皓,博士,主要研究方向为城市风热环境。1198321182@qq.com
收稿:2024-01-01,
纸质出版:2025-04-05
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方云皓,张为,袁娜娜,等.武汉都市发展区城乡高温脆弱性评估对比研究[J].武汉大学学报(信息科学版),2025,50(4):802-813.
FANG Yunhao,ZHANG Wei,YUAN Nana,et al.Comparative of Urban and Rural High Temperature Vulnerability Assessment in Wuhan Metropolis Based on Multi-source Data[J].Geomatics and Information Science of Wuhan University,2025,50(4):802-813.
方云皓,张为,袁娜娜,等.武汉都市发展区城乡高温脆弱性评估对比研究[J].武汉大学学报(信息科学版),2025,50(4):802-813. DOI:10.13203/j.whugis20230450
FANG Yunhao,ZHANG Wei,YUAN Nana,et al.Comparative of Urban and Rural High Temperature Vulnerability Assessment in Wuhan Metropolis Based on Multi-source Data[J].Geomatics and Information Science of Wuhan University,2025,50(4):802-813. DOI:10.13203/j.whugis20230450
在全球变暖及城乡融合发展的双重背景下,高温对城镇与乡村居民健康及社会经济的消极影响愈演愈烈。科学评估城乡高温脆弱性并对比其差异,有利于为城乡地区的气候适应性策略提供差异性指引。在城乡差异视角下,以中国武汉都市发展区为例,整合多源数据测度城乡社区高温暴露度、敏感性、适应性因子,评估城乡社区高温脆弱性空间分布与集聚特征差异,识别并比较不同高温致脆因子类型,以此提出针对城乡社区的差异性防范策略。结果表明:(1)城镇与乡村社区的高温脆弱性在空间上呈现差异性分布格局,城镇社区表征为由内向外逐渐减弱的“核心外围”结构,乡村社区表征为整体低值、局部高值的“多极”结构。相对乡村而言,城镇较高、高等级高温脆弱性社区数量更多、分布更广、覆盖范围更大,面临的高温脆弱性问题也更严峻。(2)城镇与乡村社区的莫兰指数分别为0.693、0.471,表明城镇与乡村社区的高温脆弱性均具有显著的空间集聚性,且城镇高温脆弱性的空间集聚效应较乡村社区更强,但乡村社区面临的高温脆弱性挑战不可忽视。(3)引发城镇与乡村社区高温脆弱性的主导因子存在差异。城镇社区的高温脆弱性主要由高温暴露导致,乡村社区的高温脆弱性主要归结于其适应能力不足。在应对高温脆弱性时,城镇与乡村社区应当采取差异性的防范策略。
Objectives
2
Within the context of global warming and urban-rural integration
the adverse effects of elevated temperatures on the health and socio-economic well-being of urban and rural populations are progressively escalating. A scientific assessment of high temperature vulnerability in both urban and rural areas
along with a comparison of their distinctions
can facilitate the development of tailored guidance for climate adaptation strategies.
Methods
2
First
using Wuhan metropolis as a case study
we integrated multi-source data to gauge the exposure
sensitivity
and adaptation factors related to high temperatures in urban and rural communities. Second
we assessed the differences in the spatial patterns and clustering characteristics of high temperature vulnerability between urban and rural communities. Finally
various types of heat-induced vulnerability factors were identified
and heat prevention strategies were proposed for urban and rural communities
respectively.
Results
2
(1) The high temperature vulnerability of urban‑rural communities exhibits a differentiated spatial distribution pattern. Urban areas display a "core-periphery" structure characterized by a gradual decrease in vulnerability from the center outward. In contrast
rural areas exhibit a "multi-pole" structure with generally low vulnerability values and localized high values. In urban areas
communities with higher and sub-higher levels of high temperature vulnerability are more numerous
widely distributed
and have greater coverage compared to their rural counterparts. Consequently
urban areas face more severe challenges related to high-temperature vulnerability than rural areas. (2) The Moran's I indices for urban and rural communities are 0.693 and 0.471
respectively
signifying a noteworthy spatial clustering of high-temperature vulnerability in both urban and rural contexts. Moreover
the spatial clustering effect of high-temperature vulnerability in urban communities surpasses that observed in rural areas. Additionally
the challenge of high temperature vulnerability faced by rural communities cannot be disregarded. (3)There exists heterogeneity in the primary factors contributing to high temperature vulnerability between urban‑rural communities. In urban settings
this vulnerability predominantly stems from heightened temperature exposure
while in rural areas
it is chiefly attributed to a lack of adaptive capacity.
Conclusions
2
These findings imply that distinct preventive strategies should be employed by urban‑rural communities to address high temperature vulnerability effectively.
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