Traffic Emission Pollution Sampling and Analysis on Urban Streets with High-Rising Buildings

Hongchang Zhou and Daniel Sperling

Institute of Transportation Studies, Working Paper Series from Institute of Transportation Studies, UC Davis

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.

Keywords: traffic; emission; pollution; high-rise; buildings (search for similar items in EconPapers)
Date: 2001-07-01
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.escholarship.org/uc/item/2hv8078v.pdf;origin=repeccitec (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cdl:itsdav:qt2hv8078v

Access Statistics for this paper

More papers in Institute of Transportation Studies, Working Paper Series from Institute of Transportation Studies, UC Davis Contact information at EDIRC.
Bibliographic data for series maintained by Lisa Schiff ().