A Monitoring and Modeling Study to Investigate Regional Transport and Characteristics of PM2.5 Pollution
A Monitoring and Modeling Study to Investigate Regional Transport and Characteristics of PM2.5 Pollution
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PM2.5污染区域输送及特征监测与建模研究
DOI：
10.4209/aaqr.2012.09.0242
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发表时间：
2013-06
影响因子：
4
通讯作者：
Haiyan Wang
中科院分区：
文献类型：
--
作者：
Jianlei Lang;Shuiyuan Cheng;Jianbing Li;Dongsheng Chen;Ying Zhou;Xiao Wei;Lihui Han;Haiyan Wang
本研究以北京市为例，研究了PM2.5污染的区域运输和特征。强化监测结果表明，无机颗粒（硫酸盐、硝酸盐和铵）、有机碳和元素分别占PM2.5总量的年均35.5%、24.2和15.3%。这些PM2.5成分的比例也呈现出明显的季节变化。在此基础上，建立了MM5-CMAQ综合模拟系统，分析了2010年4个典型月份北京地区PM2.5及其组分的区域输送情况。结果表明：PM2.5、硫酸盐、硝态氮和铵态氮的年均总跨界贡献率（TBCR）分别为42.2、46.3、77.4和61.6%；北京市不同季节总TBCR与PM2.5浓度呈对数关系。进一步调查发现，在北京高污染时期，跨境运输对PM2.5浓度起了主要作用，年均TBCR为54.6%。因此，北京PM2.5污染的控制需要北京与周边地区的有效合作，特别是在重污染时期。
In this study, the regional transport and characteristics of PM2.5 pollution were examined through a case study in Beijing, China. The results from an intensive monitoring program indicate that the inorganic particles (sulfate, nitrate, and ammonium), organic carbons, and the elements accounted for 35.5, 24.2, and 15.3% of the total PM2.5 on an annual average basis, respectively. The proportions of such PM2.5 components also showed clear seasonal variations. An integrated MM5-CMAQ modeling system was then developed to examine the regional transport of PM2.5 and its components in Beijing within four typical months of 2010. The results indicate that the annual average total trans-boundary contribution ratio (TBCR) is 42.2, 46.3, 77.4, and 61.6% for the concentrations of PM2.5, sulfate, nitrate, and ammonium, respectively. A logarithmic relationship was found between the total TBCR and the PM2.5 concentrations in Beijing for different seasons. Further investigations showed that trans-boundary transport played a major role in Beijing’s PM2.5 concentrations during the period of high pollution levels, with an annual average TBCR of 54.6%. As a result, the control of PM2.5 pollution in Beijing needs effective cooperation between Beijing and its surrounding regions, especially during periods of heavy pollution.
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