Evaluation and Prediction of PM 10 and PM 2.5 from Road Source Emissions in Kuala Lumpur City Centre

Azliyana Azhari, Nor Diana Abdul Halim, Anis Asma Ahmad Mohtar, Kadaruddin Aiyub, Mohd Talib Latif and Matthias Ketzel
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Azliyana Azhari: Center for Research in Development, Social and Environment, Faculty of Social Science and Humanities, Universiti Kebangsaan Malaysia, UKM Bangi 43600, Selangor, Malaysia
Nor Diana Abdul Halim: Institute for Environment and Development (LESTARI), Universiti Kebangsaan Malaysia, UKM Bangi 43600, Selangor, Malaysia
Anis Asma Ahmad Mohtar: Department of Earth Sciences and Environment, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, UKM Bangi 43600, Selangor, Malaysia
Kadaruddin Aiyub: Center for Research in Development, Social and Environment, Faculty of Social Science and Humanities, Universiti Kebangsaan Malaysia, UKM Bangi 43600, Selangor, Malaysia
Mohd Talib Latif: Department of Earth Sciences and Environment, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, UKM Bangi 43600, Selangor, Malaysia
Matthias Ketzel: Department of Environmental Science, Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark

Sustainability, 2021, vol. 13, issue 10, 1-16

Abstract: Particulate matter (PM) is one of the major pollutants emitted by vehicles that adversely affect human health and the environment. This study evaluates and predicts concentrations and dispersion patterns of PM 10 and PM 2.5 in Kuala Lumpur city centre. The OML-Highway model calculates hourly time series of PM 10 and PM 2.5 concentrations and distribution caused by traffic emissions under different scenarios; business as usual (BAU) and 30% traffic reduction to see the impact of traffic reduction for sustainable traffic management. Continuous PM 10 and PM 2.5 data from a nearby monitoring station were analysed for the year 2019 and compared with modelled concentrations. Annual average concentration at various locations of interest for PM 10 and PM 2.5 during BAU runs were in the ranges 41.4–65.9 µg/m 3 and 30.4–43.7 µg/m 3 respectively, compared to during the 30% traffic reduction run ranging at 40.5–59.5 µg/m 3 and 29.9–40.3 µg/m 3 respectively. The average concentration of PM 10 and PM 2.5 at the Continuous Air Quality Monitoring Station (CAQMS) was 36.4 µg/m 3 and 28.2 µg/m 3 respectively. Strong correlations were observed between the predicted and observed data for PM 10 and PM 2.5 in both scenarios ( p < 0.05). This research demonstrated that the reduction of traffic volume in the city contributes to reducing the concentration of particulate matter pollution.

Keywords: particulate matter; vehicular emission management; air pollution dispersion model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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