Estimation of PM10 in the traffic-related atmosphere for three road types in Beijing and Guangzhou, China.

Estimation of PM10 in the traffic-related atmosphere for three road types in Beijing and Guangzhou, China.
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DOI:
10.1016/s1001-0742(13)60398-8
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发表时间:
2014
影响因子:
6.9
通讯作者:
Yu Wang;Jiong Li;Xiang Cheng;Xiaoxiu Lun;Dezhi Sun;Xingzu Wang
Yu Wang;Jiong Li;Xiang Cheng;Xiaoxiu Lun;Dezhi Sun;Xingzu Wang
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Yu Wang;Jiong Li;Xiang Cheng;Xiaoxiu Lun;Dezhi Sun;Xingzu Wang

文献摘要

相似文献

2011年和2012年,对中国北京市路边PM10水平进行了季节性调查,以估计三种道路类型的人群颗粒物暴露量。PM10的测量也在中国南方大城市广州进行,以进行比较。结果表明,北京市路边PM10与城市大气PM10背景值有较强的相关性。街道峡谷的PM10水平明显高于那些沿着开放的道路和十字路口地区,因为有限的通风。PM10在4月份有所升高,这可能是由于春季经常发生的沙尘暴。根据这些观察,北京路边PM10可能有多个来源,并且在一定程度上受到分散控制。广州市路边PM10与背景值的相关性不明显。PM10污染受当地交通状况影响较大。采用MOBILE6. 2汽车排放因子模型(MOBILE6. 2)作为排放模型,CALINE4和OSPM作为扩散模型,对不同道路类型的PM10进行了模拟。结果表明,MOBILE6.2/CALINE4软件包能够满足北京和广州市道路和十字路口PM10的模拟要求,MOBILE6.2/OSPM软件包对街道峡谷路边PM10的模拟结果与实测结果吻合较好。
The levels of roadside PM10in 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 PM10in Beijing correlated strongly with the PM10background in the urban atmosphere. The levels of PM10in street canyons were markedly higher than those along the open roads and in crossroad areas because of limited ventilation. An elevation of PM10was observed in April, which was possibly due to the sand storms that frequently occur in the spring. Based on these observations, roadside PM10in Beijing could have multiple origins and was to some extent dispersion-governed. In Guangzhou, the roadside PM10did not closely relate to the background values. The PM10pollution was greatly affected by local traffic conditions. The simulation of PM10for 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 PM10in 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.