Traffic emission pollution sampling and analysis on urban streets with high-rising buildings |
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| Institution: | 1. Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, ON, Canada;2. Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada;3. Oswaldo Cruz Foundation (DCS-ENSP/FIOCRUZ), Rio de Janeiro, Brazil;4. Department of Social and Preventive Dentistry, Dental School, Federal University of Minas Gerais, Belo Horizonte, Brazil;5. Department of Epidemiology and Quantitative Methods in Health, National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil;6. Department of Human Rights, Health and Social Diversity, National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil;7. Department of Medicine, University of California San Diego School of Medicine, La Jolla, CA, United States |
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| Abstract: | Air pollution at many types of intersections and other roadside “hot spots” is not accurately characterized by state-of-the-practice models. In this study, data were collected on traffic flows, second-by-second CO and NO2 ambient concentrations in Shanghai, China. The sampled data were compared with CAL3QHC modeling results. We found that: (1) intersection hot spot emission concentrations were explained primarily by queuing activities of motor vehicles; (2) air quality concentrations are difficult to predict because of complex dispersion processes near high-rise buildings; and (3) screening models such as CAL3QHC are prone to large errors in dense cities with mixed traffic and high-rising buildings. Suggestions are made for improved models relevant to dense developing cities. |
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