Urbanization and regional air pollution across South Asian developing countries - A nationwide land use regression for ambient PM2.5 assessment in Pakistan

Shi, Yuan ORCID: 0000-0003-4011-8735, Bilal, Muhammad, Ho, Hung Chak and Omar, Abid (2020) Urbanization and regional air pollution across South Asian developing countries - A nationwide land use regression for ambient PM2.5 assessment in Pakistan. ENVIRONMENTAL POLLUTION, 266 (Pt 2). 115145-.

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Official URL: http://dx.doi.org/10.1016/j.envpol.2020.115145

Abstract

Rapid economic growth, urban sprawl, and unplanned industrialization has increased socioeconomic statuses but also decreased air quality in South Asian developing countries. Therefore, severe increase in air pollution has been a threat of local population, regarding health statuses, livability and quality of life. It is necessary to estimate fine-scale spatiotemporal distribution of ambient PM2.5 in a national context so that the environmental planners and government officials can use it for environmental protocol development and policy-making. In this study, a spatiotemporal land use regression (LUR) model is developed to refine global air quality data to the national-scale ambient PM2.5 exposure in a high-density country in South Asia - Pakistan. Combining with transport network, patterns of land use, local meteorological conditions, geographic characteristics, landscape characteristics, and satellite-derived data, our resultant model explains 54.5% of the variation in ambient PM2.5 concentration level. Furthermore, tree coverage and road transport are identified to be two influential factors of the national-scale spatial variation of PM2.5 in Pakistan, which implied that urbanization might be the major cause of air pollution across the country. In conclusion, our resultant LUR model as well as the spatial map of ambient PM2.5 concentration level can be used as a supporting tool for national health risk management and environmental planning, and could also contribute to the air quality management and pollution reduction actions of Pakistan.

Item Type:	Article
Uncontrolled Keywords:	PM2.5, Land use regression, Exposure, Urbanization, Pakistan
Divisions:	Faculty of Science and Engineering > School of Environmental Sciences
Depositing User:	Symplectic Admin
Date Deposited:	25 Jul 2022 14:43
Last Modified:	15 Oct 2023 15:40
DOI:	10.1016/j.envpol.2020.115145
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3159340