Use of spatiotemporal characteristics of ambient PM2.5 in rural South India to infer local versus regional contributions

Environmental Pollution
M Kishore KumarJulian D Marshall

Abstract

This study uses spatiotemporal patterns in ambient concentrations to infer the contribution of regional versus local sources. We collected 12 months of monitoring data for outdoor fine particulate matter (PM2.5) in rural southern India. Rural India includes more than one-tenth of the global population and annually accounts for around half a million air pollution deaths, yet little is known about the relative contribution of local sources to outdoor air pollution. We measured 1-min averaged outdoor PM2.5 concentrations during June 2015-May 2016 in three villages, which varied in population size, socioeconomic status, and type and usage of domestic fuel. The daily geometric-mean PM2.5 concentration was ∼30 μg m-3 (geometric standard deviation: ∼1.5). Concentrations exceeded the Indian National Ambient Air Quality standards (60 μg m-3) during 2-5% of observation days. Average concentrations were ∼25 μg m-3 higher during winter than during monsoon and ∼8 μg m-3 higher during morning hours than the diurnal average. A moving average subtraction method based on 1-min average PM2.5 concentrations indicated that local contributions (e.g., nearby biomass combustion, brick kilns) were greater in the most populated village, and that overal...Continue Reading

Citations

Jul 3, 2019·Journal of Exposure Science & Environmental Epidemiology·Margaux SanchezCathryn Tonne
May 16, 2019·Environmental Science and Pollution Research International·Dinesh SahAnita Lakhani
Mar 18, 2020·Environmental Pollution·Licheng ZhangYanxia Luo
Feb 6, 2021·International Journal of Environmental Research and Public Health·Karl Kilbo EdlundJanine Wichmann
Mar 17, 2021·Advances in Space Research : the Official Journal of the Committee on Space Research (COSPAR)·V SreekanthVignesh Prabhu
Apr 8, 2021·Journal of Environmental Management·Dharmendra SinghChintan Nanda

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