Visualizing Spatio-temporal variation of ambient air pollution in four small towns in India

Agrawal, Girish, Rahman, Hifzur, Mondal, Anirban and Reddy, P. Krishna (2022) Visualizing Spatio-temporal variation of ambient air pollution in four small towns in India. In: International Workshops on BDMS, BDQM, GDMA, IWBT, MAQTDS, and PMBD 2022,, 11 April 2022 through 14 April 2022, Virtual, Online.

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Abstract

Air pollution is a major threat to human health in India. More than three-quarters of the people in India are exposed to pollution levels higher than the limits recommended by the National Ambient Air Quality Standards in India and significantly higher than those recommended by the World Health Organization. Despite the poor air quality, the monitoring of air pollution levels is limited even in large urban areas in India and virtually absent in small towns and rural areas. The lack of data results in a minimal understanding of spatial and temporal patterns of air pollutants at local and regional levels. This paper is the second in a planned series of papers presenting particulate air pollution trends monitored in small cities and towns in India. The findings presented here are important for framing state and regional level policies for addressing air pollution problems in urban areas, and achieve the sustainable development goals (SDGs) linked to public health, reduction in the adverse environmental impact of cities, and adaptation to climate change, as indicated by SDGs 3.9, 11.6 and 11.b.

Item Type: Conference or Workshop Item (Paper)
Keywords: Air pollution in small towns | Ambient air pollution | Diurnal and weekly cycle of PM pollution | PM isopleths | Spatio-temporal averaging of data from mobile sensors | Sustainable development goals
Subjects: Physical, Life and Health Sciences > Engineering and Technology
JGU School/Centre: Jindal School of Art & Architecture
Depositing User: Amees Mohammad
Date Deposited: 08 Aug 2022 04:03
Last Modified: 16 Aug 2022 05:47
Official URL: https://doi.org/10.1007/978-3-031-11217-1_30
Funders: Ashoka University, Mphasis laboratory for Machine Learning and Computational Thinking ML2CT, O.P.Jindal Global University, Indraprastha Institute of Information Technology, Delhi
URI: https://pure.jgu.edu.in/id/eprint/3975

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