Probabilistic Transport-Induced Emissions and Health Risks for Adelaide, South Australia
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Published:2024-03-22
Issue:5
Volume:29
Page:933-951
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ISSN:1420-2026
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Container-title:Environmental Modeling & Assessment
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language:en
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Short-container-title:Environ Model Assess
Author:
Iqbal Asif,Rahman Md. Mizanur
Abstract
AbstractThe research aims to assess the risks associated with the transport-induced emissions (major criteria pollutants) in Adelaide, South Australia. A stochastic emission modelling strategy was implemented for a probabilistic risk assessment of the transport system for current and future scenarios, by analysing the road specific transport system data. The simulated result suggests that NOx and PM2.5 risks are significant at about 35% of city areas, especially along the roads with heavy vehicle concentration and higher traffic. The risk will significantly increase in 10 years if the current practice persists, demonstrating a high probability (more than 60%) of emissions above 150% of the air quality standard. The research suggests that appropriate planning is necessary to cope with the development needs for the system’s future sustainability.
Funder
University of South Australia
Publisher
Springer Science and Business Media LLC
Reference66 articles.
1. EEA. (2019). EMEP/EEA air pollutant emission inventory guidebook 2019. https://www.eea.europa.eu/publications/emep-eea-guidebook-2019/part-b-sectoral-guidance-chapters/1-energy/1-a-combustion/1-a-3-b-i/view 2. Huy, L. N., Kim Oanh, N. T., Htut, T. T., & Hlaing, O. M. T. (2020). Emission inventory for on-road traffic fleets in Greater Yangon. Myanmar. Atmospheric Pollution Research, 11(4), 702–713. https://doi.org/10.1016/j.apr.2019.12.021 3. Ibarra-Espinosa, S., Zhang, X., Xiu, A., Gao, C., Wang, S., Ba, Q., Gao, C., & Chen, W. (2021). A comprehensive spatial and temporal vehicular emissions for northeast China. Atmospheric Environment, 244, 117952. https://doi.org/10.1016/j.atmosenv.2020.117952 4. Song, H., Deng, S.-X., Lu, Z.-Z., Li, J.-H., Ba, L.-M., Wang, J.-F., Sun, Z.-G., Li, G.-H., Jiang, C., & Hao, Y.-Z. (2021). Scenario analysis of vehicular emission abatement procedures in Xi’an, China. Environmental Pollution, 269, 116187. https://doi.org/10.1016/j.envpol.2020.116187 5. Wang, J., Li, X., Ding, S., Xu, X., Liu, L., Dong, L., & Feng, Y. (2021). Uncovering temporal-spatial drivers of vehicular NOx emissions in China. Journal of Cleaner Production, 288, 125635. https://doi.org/10.1016/j.jclepro.2020.125635
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