Large-Scale Urban Heating and Pollution Domes over the Indian Subcontinent

The unique geographical diversity and rapid urbanization across the Indian subcontinent give rise to large-scale spatiotemporal variations in urban heating and air emissions. The complex relationship between geophysical parameters and anthropogenic activity is vital in understanding the urban enviro...

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Main Authors: Trisha Chakraborty, Debashish Das, Rafiq Hamdi, Ansar Khan, Dev Niyogi
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/15/10/2681
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author Trisha Chakraborty
Debashish Das
Rafiq Hamdi
Ansar Khan
Dev Niyogi
author_facet Trisha Chakraborty
Debashish Das
Rafiq Hamdi
Ansar Khan
Dev Niyogi
author_sort Trisha Chakraborty
collection DOAJ
description The unique geographical diversity and rapid urbanization across the Indian subcontinent give rise to large-scale spatiotemporal variations in urban heating and air emissions. The complex relationship between geophysical parameters and anthropogenic activity is vital in understanding the urban environment. This study analyses the characteristics of heating events using aerosol optical depth (AOD) level variability, across 43 urban agglomerations (UAs) with populations of a million or more, along with 13 industrial districts (IDs), and 14 biosphere reserves (BRs) in the Indian sub-continent. Pre-monsoon average surface heating was highest in the urban areas of the western (42 °C), central (41.9 °C), and southern parts (40 °C) of the Indian subcontinent. High concentration of AOD in the eastern part of the Indo-Gangetic Plain including the megacity: Kolkata (decadal average 0.708) was noted relative to other UAs over time. The statistically significant negative correlation (−0.51) between land surface temperature (LST) and AOD in urban areas during pre-monsoon time illustrates how aerosol loading impacts the surface radiation and has a net effect of reducing surface temperatures. Notable interannual variability was noted with, the pre-monsoon LST dropping in 2020 across most of the selected urban regions (approx. 89% urban clusters) while it was high in 2019 (for approx. 92% urban clusters) in the pre-monsoon season. The results indicate complex variability and correlations between LST and urban aerosol at large scales across the Indian subcontinent. These large-scale observations suggest a need for more in-depth analysis at city scales to understand the interplay and combined variability between physical and anthropogenic atmospheric parameters in mesoscale and microscale climates.
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spelling doaj.art-540cb891510a44e09cb7df40be2766892023-11-18T03:08:40ZengMDPI AGRemote Sensing2072-42922023-05-011510268110.3390/rs15102681Large-Scale Urban Heating and Pollution Domes over the Indian SubcontinentTrisha Chakraborty0Debashish Das1Rafiq Hamdi2Ansar Khan3Dev Niyogi4School of Environmental Studies, Jadavpur University, Kolkata 700032, IndiaDepartment of Architecture, Jadavpur University, Kolkata 700032, IndiaRoyal Meteorological Institute of Belgium, 1180 Bruxelles, BelgiumDepartment of Geography, Lalbaba College, University of Calcutta, Howrah 711201, IndiaDepartment of Geological (Earth and Planetary) Sciences, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX 78759, USAThe unique geographical diversity and rapid urbanization across the Indian subcontinent give rise to large-scale spatiotemporal variations in urban heating and air emissions. The complex relationship between geophysical parameters and anthropogenic activity is vital in understanding the urban environment. This study analyses the characteristics of heating events using aerosol optical depth (AOD) level variability, across 43 urban agglomerations (UAs) with populations of a million or more, along with 13 industrial districts (IDs), and 14 biosphere reserves (BRs) in the Indian sub-continent. Pre-monsoon average surface heating was highest in the urban areas of the western (42 °C), central (41.9 °C), and southern parts (40 °C) of the Indian subcontinent. High concentration of AOD in the eastern part of the Indo-Gangetic Plain including the megacity: Kolkata (decadal average 0.708) was noted relative to other UAs over time. The statistically significant negative correlation (−0.51) between land surface temperature (LST) and AOD in urban areas during pre-monsoon time illustrates how aerosol loading impacts the surface radiation and has a net effect of reducing surface temperatures. Notable interannual variability was noted with, the pre-monsoon LST dropping in 2020 across most of the selected urban regions (approx. 89% urban clusters) while it was high in 2019 (for approx. 92% urban clusters) in the pre-monsoon season. The results indicate complex variability and correlations between LST and urban aerosol at large scales across the Indian subcontinent. These large-scale observations suggest a need for more in-depth analysis at city scales to understand the interplay and combined variability between physical and anthropogenic atmospheric parameters in mesoscale and microscale climates.https://www.mdpi.com/2072-4292/15/10/2681land surface temperatureaerosol optical depthurban agglomerationindustrial districtsbiosphere reserve
spellingShingle Trisha Chakraborty
Debashish Das
Rafiq Hamdi
Ansar Khan
Dev Niyogi
Large-Scale Urban Heating and Pollution Domes over the Indian Subcontinent
Remote Sensing
land surface temperature
aerosol optical depth
urban agglomeration
industrial districts
biosphere reserve
title Large-Scale Urban Heating and Pollution Domes over the Indian Subcontinent
title_full Large-Scale Urban Heating and Pollution Domes over the Indian Subcontinent
title_fullStr Large-Scale Urban Heating and Pollution Domes over the Indian Subcontinent
title_full_unstemmed Large-Scale Urban Heating and Pollution Domes over the Indian Subcontinent
title_short Large-Scale Urban Heating and Pollution Domes over the Indian Subcontinent
title_sort large scale urban heating and pollution domes over the indian subcontinent
topic land surface temperature
aerosol optical depth
urban agglomeration
industrial districts
biosphere reserve
url https://www.mdpi.com/2072-4292/15/10/2681
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AT debashishdas largescaleurbanheatingandpollutiondomesovertheindiansubcontinent
AT rafiqhamdi largescaleurbanheatingandpollutiondomesovertheindiansubcontinent
AT ansarkhan largescaleurbanheatingandpollutiondomesovertheindiansubcontinent
AT devniyogi largescaleurbanheatingandpollutiondomesovertheindiansubcontinent