Daily outdoor PM2.5 exposure characterization and road edge effect during a 2022 - 2023 monitoring campaign in Gambia, Kenya and Mozambique

IF 3.4 Q2 ENVIRONMENTAL SCIENCES
Atmospheric Environment: X Pub Date : 2026-04-01 Epub Date: 2026-05-19 DOI:10.1016/j.aeaoa.2026.100463
Terence Darlington Mushore , Handsome Bongani Nyoni , Laura Munthali , Sibusisiwe Audrey Makhanya , Laurine Chikoko , Anotida Marrian Chapunza , Stanley Luchters , Matthew Chersich , Fortunate Machingura , Liberty Makacha , Benjamin Barratt , Hiten D. Mistry , Marie Laure Volvert , Cherlynn Dumbura , Umberto D'Alessandro , Anna Roca , Esperana Sevene , Herminio Cossa , Marleen Temmerman , Angela Koech , Prestige Tatenda Makanga
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Abstract

Air pollution is a major contributor to mortality and adverse health outcomes, particularly in pregnant women and children, with vehicular emissions as a key source. This study aimed to characterize long-term exposure to fine particulate matter (PM2.5), evaluate potential health risks, and quantify the contribution of road transport and proximity to roads in The Gambia, Kenya, and Mozambique. Multi-temporal personal exposure data were interpolated into continuous spatial surfaces and aggregated into daily averages, which were then compared with World Health Organization (WHO) guidelines to assess potential health impacts. Multi-distance buffers at 10 m intervals up to 1000m from major roads were created to examine pollutant variation with road proximity. Overlay analyses and linear regression models were applied to quantify the road-edge effect on pollution exposure. The Inverse Distance Weighting interpolation technique produced accurate PM2.5 field in all sites (R2>0.55, MAE<4 μg/m3 and RMSE<10 μg/m3) based on leave-one-out cross-validation. PM2.5 concentrations were highest in The Gambia across all land use and land cover (LULC) types, reflecting localized industrial and vehicular emissions. Elevated pollutant levels were observed in herbaceous wetlands, bare land, and built-up areas. Most sites across all three countries exceeded WHO recommended thresholds, indicating significant health risks. PM2.5 decreased with distance from roads in Rabai (Kenya) and Mozambique, while in other sites it increased away from roads. These findings highlight the combined influence of multiple local sources, including traffic, fire smoke, wetlands, and industry, on pollutant exposure. The study demonstrates the utility of WHO thresholds for health risk assessment and shows how road proximity affects pollutant dispersal. The results provide critical insights for modeling air pollution exposure and informing mitigation strategies in sub-Saharan Africa.

Abstract Image

2022 - 2023年冈比亚、肯尼亚和莫桑比克监测运动期间的每日室外PM2.5暴露特征和道路边缘效应
空气污染是造成死亡和不良健康后果的一个主要因素,特别是对孕妇和儿童而言,而车辆排放是一个主要来源。本研究旨在描述冈比亚、肯尼亚和莫桑比克细颗粒物(PM2.5)长期暴露的特征,评估潜在的健康风险,并量化道路运输和靠近道路的贡献。将多时间个人暴露数据内插到连续的空间面中,并汇总成每日平均值,然后将其与世界卫生组织(世卫组织)评估潜在健康影响的指导方针进行比较。在距离主要道路1000米的10 m间隔处建立多距离缓冲区,以检查污染物随道路邻近程度的变化。采用叠加分析和线性回归模型量化道路边缘对污染暴露的影响。基于留一交叉验证,反演距离加权插值技术得到了各站点准确的PM2.5场(R2>0.55, MAE<4 μg/m3, RMSE<10 μg/m3)。冈比亚所有土地利用和土地覆盖(LULC)类型的PM2.5浓度最高,反映了当地的工业和车辆排放。草本湿地、裸地和建成区的污染物水平均有所上升。这三个国家的大多数场址都超过了世卫组织建议的阈值,表明存在重大健康风险。在拉拜(肯尼亚)和莫桑比克,PM2.5随着距离道路的远近而减少,而在远离道路的其他地点则增加。这些发现强调了多种当地来源(包括交通、火灾烟雾、湿地和工业)对污染物暴露的综合影响。该研究显示了世卫组织健康风险评估阈值的实用性,并显示了道路邻近如何影响污染物扩散。这些结果为撒哈拉以南非洲的空气污染暴露建模和缓解战略提供了重要见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Atmospheric Environment: X
Atmospheric Environment: X Environmental Science-Environmental Science (all)
CiteScore
8.00
自引率
0.00%
发文量
47
审稿时长
12 weeks
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