Estimation of PM_(10) in the trafc-related atmosphere for three road types in Beijing and Guangzhou, China

作     者：Yu Wang Jiong Li Xiang Cheng Xiaoxiu Lun Dezhi Sun Xingzu Wang 

作者机构：College of Environmental Science and Engineering Beijing Forestry University Beijing Northland Construction Engineering Co. Ltd 

出 版 物：《Journal of Environmental Sciences》 (环境科学学报（英文版）)

年 卷 期：2014年第26卷第1期

页      面：197-204页

核心收录：

学科分类：07[理学] 082304[工学-载运工具运用工程] 08[工学] 070602[理学-大气物理学与大气环境] 080204[工学-车辆工程] 0706[理学-大气科学] 0802[工学-机械工程] 0823[工学-交通运输工程] 

基　　金：supported by the Forestry Public Welfare Project of China(No.20130430104) the National Natural Science Foundation of China(No.51008025) the Fundamental Research Funds for the Central Universities(No.TD2011-22) the National Undergraduate Training Programs for Innovation and Entrepreneurship(No.201210022078) 

主　　题：roadside PM10 traffic volume open road crossroad street canyon 

摘      要：The levels of roadside PM10 in Beijing, China, were investigated in 2011 and 2012 on a seasonal basis to estimate the population exposure to particulates for three road types. The measurements of PM10 were also conducted in the southern Chinese megacity of Guangzhou for comparison purposes. The results showed that roadside PMlo in Beijing correlated strongly with the PM10 background in the urban atmosphere. The levels of PM10 in street canyons were markedly higher than those along the open roads and in crossroad areas because of limited ventilation. An elevation of PM10 was observed in April, which was possibly due to the sand storms that frequently occur in the spring. Based on these observations, roadside PM10 in Beijing could have multiple origins and was to some extent dispersion- governed. In Guangzhou, the roadside PM10 did not closely relate to the background values. The PM10 pollution was greatly affected by local traffic conditions. The simulation of PM10 for different road types was completed during the study period using the Motor Vehicle Emissions Factor Model （MOBILE6.2） as an emission model and the California Line Source Dispersion Model （CALINE4） and Operational Street Pollution Model （OSPM） as dispersion models. The MOBILE6.2/CALINE4 software package was demonstrated to be sufficient for the simulation of PM10 in the open roads and crossroad areas in both Beijing and Guangzhou, and the simulation results of roadside PM10 in the street canyons by the MOBILE6.2/OSPM package were in close agreement with those of the measurements.