Characterisation of semi-volatile hydrocarbon emissions from diesel engines

Mahlangu, Amanda S.; Schaberg, Paul; Wattrus, Mark; Forbes, Patricia B.C.

doi:10.17159/caj/2020/30/1.7672

Cited by 3 publications

(1 citation statement)

References 24 publications

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“…Most traffic emissions published studies investigate exhaust emissions (Kirago et al 2022;Ayetor et al 2021). This is also true for South Africa; there is a vast body of literature reporting on traffic exhaust emissions (Tongwane et al, 2015;Mahlangu et al, 2020). However, there is limited literature on non-exhaust traffic emissions.…”

Section: Introductionmentioning

confidence: 99%

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

Nkosi,

Burger,

Pauw

et al. 2023

Clean Air J.

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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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Section: Introductionmentioning

confidence: 99%

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

Nkosi,

Burger,

Pauw

et al. 2023

Clean Air J.

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Analysis of the local growth and density evolution of soot deposits generated under hydrocarbon condensation: 3D simulation and detailed experimental validation

Vence

Paz

Suárez

et al. 2023

Results in Engineering

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Sustainable Approaches to Monitoring Urban Particulate Matter Monitoring: Challenges and Innovations

R. Letsoalo,

Mogashane,

Mashale

et al. 2024

Urban Pollution - Environmental Challenges in Healthy Modern Cities [Working Title]

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The continual efforts of humanity for socio-economic improvements led to vast emission of airborne pollutants into the atmosphere. The air quality degradation can influenced by air pollutants such as particulate matter fractions, volatile organic compounds, ozone, toxic elements, microplastics, carbon monoxide as well as sulfurous and nitrous oxides. The evaluation of the impact of anthropogenic activities on air pollution levels as a national key research gap has prompted the need to assess the environmental and health implications and explore remedial actions to curb down air pollution. In urban airborne environments, the sustainability of pollution monitoring systems is a necessity for maintaining long-term air quality and safeguarding public health. Modern approaches, such as sophisticated spectroscopic technologies and real-time monitoring systems, have greatly improved the capacity to precisely identify and analyze air pollutants. However, the longevity of these techniques depends on the ongoing development and incorporation into more comprehensive environmental management plans. Innovative wireless sensor networks, low-cost portable sensors, hybrid systems, and other advanced modeling techniques were scrutinized in this study to provide affordable and scalable solutions to enhance air quality monitoring systems. These technologies offer vital data that support public health programs, urban planning, and regulatory laws.

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Characterisation of semi-volatile hydrocarbon emissions from diesel engines

Cited by 3 publications

References 24 publications

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

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

Analysis of the local growth and density evolution of soot deposits generated under hydrocarbon condensation: 3D simulation and detailed experimental validation

Sustainable Approaches to Monitoring Urban Particulate Matter Monitoring: Challenges and Innovations

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