全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Pedestrian Exposure to Air Pollution in Cities: Modeling the Effect of Roadside Trees

DOI: 10.1155/2013/964904

Full-Text   Cite this paper   Add to My Lib

Abstract:

The exposure of students to traffic-emitted carbon monoxide (CO) in their daily walk to school is evaluated, with a particular emphasis on the effect of trees and route choice. The study is focused on the city centre of Aveiro, in central Portugal. Time evolution of the georeferenced location of an individual is tracked with a GPS for different alternative walking routes to a school. Spatial distribution of CO concentration is simulated with a computational fluid dynamics (CFD) model. An exposure model is developed that associates the georeferenced location of the student with the computed air quality levels (at an average breathing height) for that specific grid cell. For each individual, the model calculates the instantaneous exposure at each time frame and the mean value for a given period. Results show a general benefit induced by the trees over the mean exposure of the student in each route. However, in the case of instantaneous exposure values, this is not consistent along the entire period. Also, the variability of the estimated exposure values indicates the potential error that can be committed when using a single value of air quality as a surrogate of air pollution exposure. 1. Introduction According to the United Nations Environment Programme (UNEP) information in 2009 [1], at least 1 billion people are exposed to outdoor air pollution that exceeds the air quality standards of the World Health Organization (WHO). Poor air quality in urban areas, mainly associated with the transportation sector, has been directly linked to almost 0.8 million premature deaths annually, especially in sensitive groups as children [1]. In urban areas, motor vehicles are a significant source of air pollution, and, despite the achieved technological progress in reducing motor emissions, there is a continuous growth in the world’s motor-vehicle fleet and consequently an increase in the total traffic-related emissions. Motor vehicles emit large quantities of air pollutants (such as carbon monoxide (CO), hydrocarbons (HC), nitrogen oxides (NOx), particulate matter (PM), benzene, formaldehyde, and acetaldehyde) that have a negative impact on human health and contribute to the formation of by-products such as ozone (O3) and secondary aerosols. Noncombustion emissions from these vehicles should also be taken into account since road dust, tire, and break wear contain chemical compounds that may pose risk to human health. Due to the high amount of air pollutants released by traffic and the difficulty in quantifying them, taking all into account, it is common to use

References

[1]  UNEP, Concept Paper for Workshop on Partnership for Clean Fuels and Vehicles for East Asia, United Nations Environment Programme, and Regional Resource Center for Asia and Pacific, 2009.
[2]  HEI Panel on the Health Effects of Traffic-Related Air Pollution, “Traffic-related air pollution: a critical review of the literature on emissions, exposure, and health effects,” HEI Special Report 17, Health Effects Institute, Boston, Mass, USA, 2010.
[3]  A. Seaton, W. MacNee, K. Donaldson, and D. Godden, “Particulate air pollution and acute health effects,” The Lancet, vol. 345, no. 8943, pp. 176–178, 1995.
[4]  J. M. Samet, F. Dominici, F. C. Curriero, I. Coursac, and S. L. Zeger, “Fine particulate air pollution and mortality in 20 U.S. cities, 1987–1994,” The New England Journal of Medicine, vol. 343, no. 24, pp. 1742–1749, 2000.
[5]  WHO, Development of WHO Guidelines for Indoor Air Quality, Report on a Working Group Meeting, World Health Organization Regional Office for Europe, 2007.
[6]  C. A. Pope III and D. W. Dockery, “Health effects of fine particulate air pollution: lines that connect,” Journal of the Air and Waste Management Association, vol. 56, no. 6, pp. 709–742, 2006.
[7]  M. M. Finkelstein, M. Jerrett, and M. R. Sears, “Traffic air pollution and mortality rate advancement periods,” The American Journal of Epidemiology, vol. 160, no. 2, pp. 173–177, 2004.
[8]  G. Hoek, B. Brunekreef, S. Goldbohm, P. Fischer, and P. A. van den Brandt, “Association between mortality and indicators of traffic-related air pollution in the Netherlands: a cohort study,” The Lancet, vol. 360, no. 9341, pp. 1203–1209, 2002.
[9]  B. Hoffmann, S. Moebus, S. M?hlenkamp et al., “Residential exposure to traffic is associated with coronary atherosclerosis,” Circulation, vol. 116, no. 5, pp. 489–496, 2007.
[10]  C. Tonne, S. Melly, M. Mittleman, B. Coull, R. Goldberg, and J. Schwartz, “A case-control analysis of exposure to traffic and acute myocardial infarction,” Environmental Health Perspectives, vol. 115, no. 1, pp. 53–57, 2007.
[11]  C. Borrego, O. Tchepel, A. M. Costa, H. Martins, J. Ferreira, and A. I. Miranda, “Traffic-related particulate air pollution exposure in urban areas,” Atmospheric Environment, vol. 40, no. 37, pp. 7205–7214, 2006.
[12]  O. Hertel, F. A. A. M. de Leeuw, O. Raaschou-Nielsen et al., “Human exposure to outdoor air pollution (IUPAC technical report),” Pure and Applied Chemistry, vol. 73, no. 6, pp. 933–958, 2001.
[13]  A. Kikuchi, N. Hataya, A. Mochida et al., “Field study of the influences of roadside trees and moving automobiles on turbulent diffusion of air pollutants and thermal environment in urban street canyons,” in Proceedings of the 6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings (IAQVEC '07), pp. 137–144, Sendai, Japan, October 2007.
[14]  C. Gromke and B. Ruck, “On the impact of trees on dispersion processes of traffic emissions in street canyons,” Boundary-Layer Meteorology, vol. 131, no. 1, pp. 19–34, 2009.
[15]  A. Mochida, Y. Tabata, T. Iwata, and H. Yoshino, “Examining tree canopy models for CFD prediction of wind environment at pedestrian level,” Journal of Wind Engineering and Industrial Aerodynamics, vol. 96, no. 10-11, pp. 1667–1677, 2008.
[16]  R. Buccolieri, C. Gromke, S. Di Sabatino, and B. Ruck, “Aerodynamic effects of trees on pollutant concentration in street canyons,” Science of the Total Environment, vol. 407, no. 19, pp. 5247–5256, 2009.
[17]  C. Borrego, O. Tchepel, A. M. Costa, J. H. Amorim, and A. I. Miranda, “Emission and dispersion modelling of Lisbon air quality at local scale,” Atmospheric Environment, vol. 37, no. 37, pp. 5197–5205, 2003.
[18]  J. H. Amorim, V. Rodrigues, R. Tavares, J. Valente, and C. Borrego, “CFD modelling of the aerodynamic effect of trees on urban air pollution dispersion,” Science of the Total Environment, vol. 461-462, pp. 541–551, 2013.
[19]  D. J. Nowak, D. E. Crane, and J. C. Stevens, “Air pollution removal by urban trees and shrubs in the United States,” Urban Forestry and Urban Greening, vol. 4, no. 3-4, pp. 115–123, 2006.
[20]  W. R. Ott, “Concepts of human exposure to air pollution,” Environment International, vol. 7, no. 3, pp. 179–196, 1982.
[21]  A. I. Miranda, J. H. Amorim, V. Martins et al., “Modelling the exposure of firefighters to smoke based on measured data,” in Proceedings of the 3rd International Conference on Modelling, Monitoring and Management of Forest Fires, 2011.
[22]  J. Franke, A. Hellsten, H. Schlünzen, and B. Carissimo, Best Practice Guideline for the CFD Simulation of Flows in the Urban Environment, COST Action 732, Quality Assurance and Improvement of Microscale Meteorological Models, COST Office, 2007.
[23]  B. Lalic and D. T. Mihailovic, “An empirical relation describing leaf-area density inside the forest for environmental modelling,” Journal of Applied Meteorology, vol. 43, no. 4, pp. 641–645, 2004.
[24]  APA, Air Quality Data for Portuguese Monitoring Stations, APA, Lisbon, Portugal, 2011, http://www.qualar.org/.
[25]  J. C. Chang and S. R. Hanna, Technical Descriptions and User' s Guide for the BOOT Statistical Model Evaluation Software Package, version 2.0, 2005.

Full-Text

comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133

WeChat 1538708413