This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Impacts of particulate matter emissions from a highway on the neighboring population
Technical Paper
2020-36-0235
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
The road freight transport sector is one of the main responsible for the air pollution (as the case of particulate matter) and greenhouse gases emissions worldwide. Different types of fuel technologies have been developed in order to improve efficiency, reduce air pollution impacts, such as the case of liquefied natural gas (LNG) for heavy-duty vehicles. Many studies show the relationship between the effects of short and long-term exposure to particulate matter (PM) and, according to the World Health Organization (WHO), premature deaths worldwide as well as cardiorespiratory diseases in elderly population are related to this pollutant. In this context, this paper aims at evaluating the atmospheric dispersion of PM in a stretch of a highway (Anhanguera-Bandeirantes) in the São Paulo State in Brazil due to the road freight transport considering the use of diesel and LNG in heavy-duty vehicles and the impacts on human health. The software AERMOD designed by U.S. Environmental Protect Agency (EPA) was used for modeling the PM atmospheric dispersion. The methodology suggested by WHO was used to quantify the deaths attributable to air pollution and Monte Carlo simulation was applied to calculate a range of possible deaths. Results from concentrations are showed in terms of PM10 and PM2.5 and the deaths due to lung cancer, cardiovascular and respiratory diseases that can be attributed to these pollutants.
Recommended Content
Authors
Topic
Citation
Teixeira, A., Borges, R., Machado, P., Mouette, D. et al., "Impacts of particulate matter emissions from a highway on the neighboring population," SAE Technical Paper 2020-36-0235, 2021, https://doi.org/10.4271/2020-36-0235.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
Table 1: | ||
Table 2: | ||
Table 3: |
Also In
References
- Figliozzi M.A. Lifecycle modeling and assessment of unmanned aerial vehicles (Drones) CO2e emissions, Transp. Res. Part D Transp. Environ. 57 251 261 2017
- Lurie K. et al. PM 2.5 in a megacity of Asia (Karachi): Source apportionment and health effects, Atmos. Environ. 223 233 Apr 2019
- Zhao G. , Ravn E. , Troncoso E. , Hyde K. , and Diderich M. ScienceDirect Life cycle cost analysis?: A case study of hydrogen energy application on the Orkney Islands, 4 2018
- Bilenko N. et al. Associations between particulate matter composition and childhood blood pressure — The PIAMA study, Environ. Int. 84 2 1 6 2015
- Liu S. , Xing J. , Wang S. , Ding D. , Chen L. , and Hao J. Revealing the impacts of transboundary pollution on PM 2 . 5 -related deaths in China, Environ. Int. 134 October 2019 105 323 2020
- Wang C. , Tu Y. , Yu Z. , and Lu R. PM 2 . 5 and Cardiovascular Diseases in the Elderly?: An Overview, 8187 8197 2015
- Wen D. , Zhai W. , Xiang S. , Hu Z. , Wei T. , and Noll K.E. Near-roadway monitoring of vehicle emissions as a function of mode of operation for light-duty vehicles, J. Air Waste Manage. Assoc. 67 11 1229 1239 2017
- SÃO PAULO PLANO DE DESENVOLVIMENTO URBANO INTEGRADO. Online
- JUNDIAÍ Perfil 2020 Online https://jundiai.sp.gov.br/a-cidade/perfil/
- CETESB EMISSÕES VEICULARES 2017 NO ESTADO DE SÃO PAULO, São Paulo 2017
- DATASUS Informações de saúde, 2020 Online http://datasus.saude.gov.br/
- EPA AERMOD, Online https://www.epa.gov/scram/air-quality-dispersion-modeling-preferred-and-recommended-models
- Tchepel O. et al. Determination of background concentrations for air quality models using spectral analysis and filtering of monitoring data, Atmos. Environ. 44 1 106 114 2010
- CETESB Qualar, 2020 Online https://qualar.cetesb.sp.gov.br/qualar/home.do
- P M. . Sánchez A. P. , De Oliveira R.P. Varona , and Tito J.V. Rawinsonde - Based Analysis of the Urban Boundary Layer in the Metropolitan Region of São Paulo , Brazil, Earth Sp. Sci. 2020
- Mouette D. et al. Costs and emissions assessment of a Blue Corridor in a Brazilian reality: The use of liquefied natural gas in the transport sector, Sci. Total Environ. 668 1104 1116 2019
- Nogueira T. , Dominutti P.A. , Vieira-Filho M. Fornaro A. , and de Fatima M. Andrade Evaluating atmospheric pollutants from urban buses under real-world conditions: Implications of the main public transport mode in são paulo, Brazil, Atmosphere (Basel). 10 3 2019
- Ostro B. , Prüss-üstün A. , Campbell-lendrum D. Corvalán C. , and Woodward A. Outdoor air pollution Assessing the environmental burden of disease at national and local levels, 5 2004
- CETESB Relatório de Qualidade do Ar do Estado de São Paulo. CETESB São Paulo 2017