Prioritising urban heat island mitigation interventions: Mapping a heat risk index

被引:2
|
作者
Elmarakby, Esraa [1 ]
Elkadi, Hisham [2 ]
机构
[1] Univ Salford, Sch Sci Engn & Environm, Salford, England
[2] Ain Shams Univ, Fac Engn, Cairo, Egypt
关键词
Climate change; Urban Heat Islands (UHI); Land surface temperature (LST) heat waves; Land cover; Heat risk index (HEI); Remote sensing; Green infrastructure; EXTREME-WEATHER-EVENTS; LAND-SURFACE TEMPERATURE; CLIMATE-CHANGE; TIME-SERIES; IMPACTS;
D O I
10.1016/j.scitotenv.2024.174927
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The global climate is under threat from increasing extreme heat, evidenced by rising temperatures and a surge in hot days. Heat waves are intensifying worldwide, impacting cities and residents, as demonstrated by the recordbreaking heat experienced in the UK in 2022, which resulted in over 4500 deaths. Urban heat islands (UHIs) exacerbate these heat waves, making city residents more vulnerable to heat-related deaths. UHIs occur when temperatures in urban areas exceed those in surrounding rural areas due to the heat-absorbing properties of urban structures. Implementing mitigation strategies, such as green infrastructure, is crucial for enhancing urban resilience and reducing vulnerability to UHIs. Effectively addressing UHIs requires a systematic approach, including developing risk maps to prioritise areas for UHI mitigation strategies. Using remote sensing, GIS, and SPSS correlational analysis, the research aims to develop and assess a Heat Risk Index (HRI). This index integrates UHI spatial intensity, current green cover, and population density at the district level to develop the risk index. This study stands out for its novel approach to developing the HRI, focusing on the localised impact of the UHI in Manchester City, identifying high-risk heatvulnerable districts, and prioritising implementing effective UHI mitigation strategies. The findings highlight the importance of this approach, revealing that approximately 30 % of Manchester City is affected by UHI effects, with areas near the city centre, characterised by higher population density and reduced green cover, being particularly vulnerable. Furthermore, the study suggests that applying HRIs at a more localised level, such as the neighbourhood level rather than the district level, would provide more relevant and
引用
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页数:13
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