Literature DB >> 33639470

Air quality modeling to inform pollution mitigation strategies in a Latin American megacity.

James East1, Juan Sebastian Montealegre2, Jorge E Pachon2, Fernando Garcia-Menendez3.   

Abstract

Poor air quality disproportionally impacts cities in low- and middle-income countries. In Bogotá, Colombia, a metropolitan area with over 10 million inhabitants, fine particulate matter (PM2.5) levels regularly exceed air quality guidelines, leading to detrimental effects on health. Although there is public interest to improve the city's air quality, the main sources of PM2.5 pollution have not been clearly identified and the use of modeling for policy development in Bogotá has been limited. Here, we apply a modeling framework based on the Community Multiscale Air Quality Modeling System (CMAQ) to conduct seasonal simulations of air pollution in Bogotá and reveal the emissions sectors with the largest contributions to PM2.5. Based on these results, we project and compare the air quality benefits of potential pollution mitigation strategies focused on these sources. The analysis finds that resuspended dust from unpaved roads is the largest local source of PM2.5 and can contribute over 30% of seasonally-averaged concentration across the city. Vehicles, industrial activity, and unpaved road dust combined are responsible for over 60% of PM2.5 pollution in Bogotá. A scenario analysis shows that paving roads can lead to PM2.5 decreases of nearly 10 μg/m3 by 2030 in some areas of the city, but air quality will deteriorate significantly over others in the absence of additional emissions control measures. Mitigation strategies designed to target the sectors with the largest contributions to PM2.5, including road cleaning systems, controls for industrial point sources, cleaner transportation fuels, and updated vehicle fleets, can largely avert projected increases in concentrations, although the impacts of different approaches vary throughout the city. This study is the first to use a comprehensive model to determine sector contributions to air pollution and inform potential emissions control policies in Bogotá, demonstrating an approach to guide pollution management in developing cities facing comparable challenges.
Copyright © 2021 Elsevier B.V. All rights reserved.

Keywords:  Air quality modeling; Scenario analysis; Source apportionment; Urban air pollution

Year:  2021        PMID: 33639470     DOI: 10.1016/j.scitotenv.2021.145894

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Study on Air Quality and Its Annual Fluctuation in China Based on Cluster Analysis.

Authors:  Shengyong Zhang; Yunhao Chen; Yudong Li; Xing Yi; Jiansheng Wu
Journal:  Int J Environ Res Public Health       Date:  2022-04-08       Impact factor: 4.614

  1 in total

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