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

香港中文大學研究人員
替代計量分析
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其它資訊
摘要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.
出版社接受日期28.06.2020
著者Yuan Shi, Muhammad Bilal, Hung Chak Ho, Abid Omar
期刊名稱Environmental Pollution
出版年份2020
月份11
卷號266, Part 2
出版社Elsevier B.V.
文章號碼115145
國際標準期刊號0269-7491
電子國際標準期刊號1873-6424
語言美式英語
關鍵詞PM2.5, Land use regression, Exposure, Urbanization, Pakistan

上次更新時間 2021-13-10 於 23:57