Traffic emission pollution sampling and analysis on urban streets with high-rising building

摘要

Air pollution at many types of intersections and other roadside "hot sports" is not accurately charac- terized 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 ex- Plained primarily by queuing activities of motor vehicles;(2)air quality concentrations are difficult to Predict because of complex dispersion processes near high-rise buildings;(3)screening models such as CAL3QHC are prone to large errors in dense cities with mixed traffic and high-rising buildings.