The impact of vehicle parameters on road PM10 vehicle resuspended emissions: A case in South African low-income settlement

Q3 Environmental Science Clean Air Journal Pub Date : 2023-12-21 DOI:10.17159/caj/2023/33/2.15497
N. Nkosi, R. Burger, C. Pauw, Nisa Ayob, S. Piketh
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Abstract

About 70% of the roads in low-income settlements are unpaved and close (≤15m) to residents, thus a major source of ambientand indoor PM10 concentrations. International studies have suggested that decreasing vehicle speed and managing vehicle type onpaved or unpaved roads can reduce vehicle dust emissions. These mitigation strategies should be examined before being adoptedand gazetted into South African air quality management plans. This study aimed to characterise roads and traffic, emphasisingdetermining the impact of vehicle type on PM10 emissions. GIS was used to determine the proportion of paved and unpaved roads. Atraffic counter was used to monitor vehicles and to determine traffic composition, diurnal cycles, and average speed per road type.Field campaigns (summer; 6 days; 15 hrs per day) were carried out in Bokamoso to monitor PM10 concentration usinga TSI DustTrak DRX® real-time optical aerosol counter. The Box Model method quantifies vehicle PM10 emission factors for heavy-duty, medium-duty, and motor vehicles. About 0.88 km of road within Bokamoso is paved with a daily traffic volume of >2000, and 3.6 km is unpaved with >250 daily traffic volume. Paved road heavy-duty vehicle non-exhaust PM10 emissions reported a positive medium to strong coefficient of determination to vehicle speed increase with a coefficient of determination of 0.59. Even though there is a positive coefficient of determination between heavy-duty vehicle non-exhaust PM10 emission factors and speed on unpaved roads, it is weak (0.2) due to low and less variable vehicle speed. Motor vehicle paved and unpaved road non-exhaust emission factors showed no significant coefficient of determination with increased vehicle speed. Paved road non-exhaust emission factors were not significantly variable with vehicle type. They ranged between an average of 0.15-0.18 g/km/h, with motor vehicles reporting an average of 0.18 g/km/h while heavy-duty vehicles reported an average of 0.15 g/km/h. On the contrary, unpaved road non-exhaust traffic PM10 emissions ranged between 0.16-0.3 g/km/h. The emission factors presented may be used to model vehicle traffic emissions, improve on-road vehicle dust emissions impact assessment and as a guide when deciding on local applicable road dust mitigation strategies
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车辆参数对道路 PM10 汽车再悬浮排放的影响:南非低收入住区案例
低收入居住区约 70% 的道路未铺设路面,距离居民很近(≤15 米),因此是环境和室内 PM10 浓度的主要来源。国际研究表明,在已铺设路面或未铺设路面的道路上降低车速和管理车辆类型可以减少车辆扬尘排放。在将这些缓解策略纳入南非空气质量管理计划之前,应对其进行研究。本研究旨在描述道路和交通的特征,重点是确定车辆类型对 PM10 排放的影响。利用地理信息系统确定了铺设路面和未铺设路面的道路比例。在 Bokamoso 进行了实地考察(夏季;6 天;每天 15 小时),使用 TSI DustTrak DRX® 实时光学气溶胶计数器监测 PM10 浓度。箱式模型法量化了重型、中型和机动车的车辆 PM10 排放系数。Bokamoso 境内约 0.88 公里的道路为铺面公路,日交通流量大于 2000,3.6 公里为非铺面公路,日交通流量大于 250。铺设路面的重型车辆的非废气 PM10 排放与车速的增加呈中强正相关,决定系数为 0.59。尽管未铺设路面的重型车辆非废气 PM10 排放系数与车速之间存在正的决定系数,但由于车速较低且变化较少,因此决定系数较弱(0.2)。机动车铺装路面和未铺装路面的非废气排放因子与车速的增加没有显著的决定系数。铺装路面的非废气排放系数随车辆类型变化不大。它们平均介于 0.15-0.18 克/公里/小时之间,机动车平均为 0.18 克/公里/小时,而重型车辆平均为 0.15 克/公里/小时。相反,未铺设路面的非排气交通 PM10 排放介于 0.16-0.3 克/公里/小时之间。提出的排放因子可用于模拟车辆交通排放,改进道路车辆扬尘排放影响评估,并在决定当地适用的道路扬尘缓解策略时作为指导。
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来源期刊
Clean Air Journal
Clean Air Journal Environmental Science-Management, Monitoring, Policy and Law
CiteScore
1.80
自引率
0.00%
发文量
16
审稿时长
8 weeks
期刊介绍: Clean Air Journal is the official publication of the National Association for Clean Air, a not-for-profit organisation. Clean Air Journal is a peer-reviewed journal for those interested in air quality, air quality management, and the impacts of air pollution relevant to Africa. The focus of the journal includes, but is not limited to: Impacts of human activities and natural processes on ambient air quality Air quality and climate change linkages Air pollution mitigation technologies and applications Matters of public policy regarding air quality management Measurement and analysis of ambient and indoor air pollution Atmospheric modelling application and development Atmospheric emissions Other topics on atmospheric physics or chemistry with particular relevance to Africa The scope of the journal is broad, but the core theme of the journal is air quality in Africa.
期刊最新文献
Let’s write in our African languages: Clean Air Journal’s inclusive language policy The impact of vehicle parameters on road PM10 vehicle resuspended emissions: A case in South African low-income settlement Decreasing trend in SO2 concentrations over Durban: 2004 - 2014 Assessment of carbon dioxide emission factors from power generation in Burkina Faso Introduction to special issue ICAQ'AFRICA2022 Conference: Trends and perspectives in air quality research in Africa
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