School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa 9086, Ethiopia.
Department of Biostatistics, Columbia University, New York, NY 10032, USA.
Int J Environ Res Public Health. 2020 Sep 24;17(19):6998. doi: 10.3390/ijerph17196998.
Ambient air pollution is a growing public health concern in major African cities, including Addis Ababa (Ethiopia), where little information is available on fine particulate matter (PM, with aerodynamic diameter <2.5 µm) pollution. This paper aims to characterize annual PM, including bulk composition and seasonal patterns, in Addis Ababa. We collected 24-h PM samples in the central city every 6 days from November 2015 to November 2016. The mean (±SD) daily PM concentration was 53.8 (±25.0) µg/m, with 90% of sampled days exceeding the World Health Organization's guidelines. Principal components were organic matter (OM, 44.5%), elemental carbon (EC, 25.4%), soil dust (13.5%), and SNA (sulfate, nitrate, and ammonium ions, 8.2%). Higher PM concentrations were observed during the heavy rain season, while crustal dust concentrations ranged from 2.9 to 37.6%, with higher levels during dry months. Meteorological variables, vehicle emissions, biomass fuels, unpaved roads, and construction activity contribute to poor air quality. Compared to the Air Quality Index (AQI), 31% and 36% of observed days were unhealthy for everyone and unhealthy for sensitive groups, respectively. We recommend adopting effective prevention strategies and pursuing research on vehicle emissions, biomass burning, and dust control to curb air pollution in the city.
大气污染是非洲主要城市日益严重的公共卫生问题,包括埃塞俄比亚的亚的斯亚贝巴,那里关于细颗粒物(PM,空气动力学直径<2.5 µm)污染的信息很少。本文旨在描述亚的斯亚贝巴的年度 PM 特征,包括其总体成分和季节性模式。我们于 2015 年 11 月至 2016 年 11 月期间,每 6 天在市中心采集 24 小时 PM 样本。每日 PM 浓度的平均值(±标准差)为 53.8(±25.0)µg/m,90%的采样日超过世界卫生组织的指导值。主成分分析表明,有机物质(OM,44.5%)、元素碳(EC,25.4%)、土壤尘(13.5%)和 SNA(硫酸盐、硝酸盐和铵离子)(8.2%)是 PM 的主要成分。在雨季,PM 浓度较高,而地壳尘浓度在 2.9 至 37.6%之间波动,在旱季浓度较高。气象变量、车辆排放、生物质燃料、未铺砌道路和建筑活动都导致了空气质量较差。与空气质量指数(AQI)相比,分别有 31%和 36%的观测日对所有人和敏感人群都是不健康的。我们建议采取有效的预防策略,并开展有关车辆排放、生物质燃烧和扬尘控制的研究,以遏制该市的空气污染。