Heat Vulnerability Index Mapping: A Case Study of a Medium-Sized City (Amiens)

Urbanization, anthropogenic activities, and social determinants such as poverty literacy rate greatly contribute to heat-related mortalities. The 2003 strong heat wave (Lucifer) in France resulted catastrophic health consequences the region that may be attributed urbanization other activities. Amiens is a medium-sized French city, where average temperature has increased since year 2000. In this study, we evaluated Heat Vulnerability Index (HVI) for extreme days recorded during three years (2018–2020). We used principal component analysis (PCA) technique fine-scale vulnerability mapping. main types of considered data included (a) socioeconomic demographic data, (b) air pollution, (c) land use cover, (d) elderly illness, (e) vulnerability, (f) remote sensing (land surface (LST), mean elevation, normalized difference vegetation index (NDVI), water (NDWI)). output maps identified hot zones through comprehensive GIS analysis. resultant showed high HVI exists typical areas: (1) areas with dense population low vegetation, (2) artificial surfaces (built-up areas), (3) industrial zones. Low-HVI are natural landscapes rivers grasslands. Our can implemented cities highlight at risk pollution.