Fine-scale mapping of heat-hazard risk and vulnerability using geo-spatial techniques: Insights from a tropical Indian city
Unprecedented extreme heat events (EHEs) have amplified associated health risks, but they present great differences within the urban environment. This paper aims to assess heat-hazard risk (HHR) and associated vulnerability in Nagpur, a heat-prone Indian city using remotely sensed and on-site meteor...
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University of Novi Sad, Department of Geography, Tourism and Hotel Management
2025-01-01
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| Series: | Geographica Pannonica |
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| Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/0354-8724/2025/0354-87242502084K.pdf |
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| author | Kotharkar Rajashree Ghosh Aveek Keskar Ravindra |
| author_facet | Kotharkar Rajashree Ghosh Aveek Keskar Ravindra |
| author_sort | Kotharkar Rajashree |
| collection | DOAJ |
| description | Unprecedented extreme heat events (EHEs) have amplified associated health risks, but they present great differences within the urban environment. This paper aims to assess heat-hazard risk (HHR) and associated vulnerability in Nagpur, a heat-prone Indian city using remotely sensed and on-site meteorological data. HHR was generated through high resolution local climate zone (LCZ) maps via the product of hazard and vulnerability which featured census-tract socio-economic variables (sensitivity and adaptive capacity) and exposure. Principal component analysis (PCA) with equal weighting was applied to develop a composite fine-scale heat vulnerability index (HVI). Out of 136 wards, a total of 68 wards were identified to have 'high' or 'very high' HVI featuring about 49.06% of the population. LCZ-based spatial mapping showed a heterogeneous heat 'risk-scape' across the city. 'High' and 'very high' heat vulnerability/risk (HV/R) signature was observed in city core, its adjoining areas (LCZs 3 and 3F) and urban fringes (LCZs 9 and 93). Conversely, open areas with moderate vegetation cover and natural classes (LCZs 6, 6B, A and B) showed 'moderate' to 'low' HHR. The findings of this research will enable the urban practitioners and policymakers to deal with explicit determinants of heat vulnerability and risk especially in regions with low adaptive capacity. |
| format | Article |
| id | doaj-art-d3a27b1fdb424e5ead089ffafbd8737b |
| institution | Kabale University |
| issn | 0354-8724 1820-7138 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | University of Novi Sad, Department of Geography, Tourism and Hotel Management |
| record_format | Article |
| series | Geographica Pannonica |
| spelling | doaj-art-d3a27b1fdb424e5ead089ffafbd8737b2025-08-20T03:28:52ZengUniversity of Novi Sad, Department of Geography, Tourism and Hotel ManagementGeographica Pannonica0354-87241820-71382025-01-012928410710.5937/gp29-561640354-87242502084KFine-scale mapping of heat-hazard risk and vulnerability using geo-spatial techniques: Insights from a tropical Indian cityKotharkar Rajashree0https://orcid.org/0000-0002-5063-2757Ghosh Aveek1https://orcid.org/0000-0002-5025-395XKeskar Ravindra2https://orcid.org/0000-0002-3674-6539Visvesvaraya National Institute of Technology (VNIT), Nagpur, Maharashtra, IndiaVisvesvaraya National Institute of Technology (VNIT), Nagpur, Maharashtra, IndiaVisvesvaraya National Institute of Technology (VNIT), Nagpur, Maharashtra, IndiaUnprecedented extreme heat events (EHEs) have amplified associated health risks, but they present great differences within the urban environment. This paper aims to assess heat-hazard risk (HHR) and associated vulnerability in Nagpur, a heat-prone Indian city using remotely sensed and on-site meteorological data. HHR was generated through high resolution local climate zone (LCZ) maps via the product of hazard and vulnerability which featured census-tract socio-economic variables (sensitivity and adaptive capacity) and exposure. Principal component analysis (PCA) with equal weighting was applied to develop a composite fine-scale heat vulnerability index (HVI). Out of 136 wards, a total of 68 wards were identified to have 'high' or 'very high' HVI featuring about 49.06% of the population. LCZ-based spatial mapping showed a heterogeneous heat 'risk-scape' across the city. 'High' and 'very high' heat vulnerability/risk (HV/R) signature was observed in city core, its adjoining areas (LCZs 3 and 3F) and urban fringes (LCZs 9 and 93). Conversely, open areas with moderate vegetation cover and natural classes (LCZs 6, 6B, A and B) showed 'moderate' to 'low' HHR. The findings of this research will enable the urban practitioners and policymakers to deal with explicit determinants of heat vulnerability and risk especially in regions with low adaptive capacity.https://scindeks-clanci.ceon.rs/data/pdf/0354-8724/2025/0354-87242502084K.pdfextreme heatheat-hazard riskheat vulnerability indexsensitivityexposureadaptive capacitylocal climate zone |
| spellingShingle | Kotharkar Rajashree Ghosh Aveek Keskar Ravindra Fine-scale mapping of heat-hazard risk and vulnerability using geo-spatial techniques: Insights from a tropical Indian city Geographica Pannonica extreme heat heat-hazard risk heat vulnerability index sensitivity exposure adaptive capacity local climate zone |
| title | Fine-scale mapping of heat-hazard risk and vulnerability using geo-spatial techniques: Insights from a tropical Indian city |
| title_full | Fine-scale mapping of heat-hazard risk and vulnerability using geo-spatial techniques: Insights from a tropical Indian city |
| title_fullStr | Fine-scale mapping of heat-hazard risk and vulnerability using geo-spatial techniques: Insights from a tropical Indian city |
| title_full_unstemmed | Fine-scale mapping of heat-hazard risk and vulnerability using geo-spatial techniques: Insights from a tropical Indian city |
| title_short | Fine-scale mapping of heat-hazard risk and vulnerability using geo-spatial techniques: Insights from a tropical Indian city |
| title_sort | fine scale mapping of heat hazard risk and vulnerability using geo spatial techniques insights from a tropical indian city |
| topic | extreme heat heat-hazard risk heat vulnerability index sensitivity exposure adaptive capacity local climate zone |
| url | https://scindeks-clanci.ceon.rs/data/pdf/0354-8724/2025/0354-87242502084K.pdf |
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