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Modelling the Impact of Urban Heat Island Mitigation Strategies on Urban Air Quality

Neha M. Dave1 * , Rupesh P. Vasani2 and Parmit Chhasiya3

1 Environment Engineering, Gujarat Technological University, Ahmedabad, Gujarat India

2 SAL Institute of Technology, Engineering Research, Ahmedabad, Gujarat India

3 Center for Applied Geomatics, CEPT Research and Development Foundation, CEPT University, Ahmedabad, Gujarat India

Corresponding author Email: nmd_env@yahoo.com

DOI: http://dx.doi.org/10.12944/CWE.17.2.11

Increasing urban sprawl has caused many severe problems like surge in pollution, rapid climatical variations, and the intensification of temperature in the urban areas, termed Urban Heat Islands (UHI). Population density has caused theconversion of most land areas into cities, and cities have expanded vastly. UHI phenomenon has caused temperature rise in the cities. Most of the metropolitan regions of India are experiencing consequences of UHI and the severity of pollution formation, which is a crucial research area. Since the rising temperature has a direct linkage with urban air pollution; the mitigation measures for UHI are also linked with urban air pollution mitigation; efficacy of mitigation measures of UHI phenomenon in correlation with urban air quality is being studied extensively, which emphasizesthescientific approach and planning concerns of implementation agency to consider the same into urban design and planning aspects. Ahmedabad is one of the growing metropolitan regions of India. The city has grown economically and physically by expanding its boundaries in a radial pattern. This study has attempted temporal assessment of remote sensing data to derive the UHI and the city's growth, and its changing land uses. Assessment has been performed from2008 to 2018 from Landsat data for temperature profile at surface level and type of usage of land of the study area. The spatial profile of Particulate Matter (PM2.5 and PM10) has been generated based on data from the state pollution control board. Four variables, LST, PM2.5, PM10, and LULC, are taken to establish the relationship between all variables present in different layers withthehelp of regression statistical analysis. A strong positive correlation between PM2.5, PM10, and LST has been discovered, which was eventually used to assess the impact of mitigation strategies of UHI, specifically urban greening and a white roof to particulate matter concentrations.

Ahmedabad city; Air quality; Regression Analysis; Urbanization; Urban Heat Island

Copy the following to cite this article:

Dave N. M, Vasani R. P, Chhasiya P. Modelling the Impact of Urban Heat Island Mitigation Strategies on Urban Air Quality. Curr World Environ 2022;17(2). DOI:http://dx.doi.org/10.12944/CWE.17.2.11

Copy the following to cite this URL:

Dave N. M, Vasani R. P, Chhasiya P. Modelling the Impact of Urban Heat Island Mitigation Strategies on Urban Air Quality. Curr World Environ 2022;17(2).

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