AssessmentoftheregionalsourcecontributionstoPM2.5massconcentrationinBeijing

被引：0

作者：

HAN Xiao ^{[1
,2
]}

ZHANG MeiGen ^{[1
,2
]}

机构：

[1] State Key Laboratory of Atmospheric Boundary Layer physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences

[2] College of Earth Science, University of Chinese Academy of Sciences

来源：

AtmosphericandOceanicScienceLetters | 2018年 / 11卷 / 02期

关键词：

排放源调控; PM2.5; 源追踪模块; CMAQ;

D O I：

暂无

中图分类号：

X513 [粒状污染物]; X823 [大气评价];

学科分类号：

0706 ; 070602 ;

摘要：

将先进的在线源追踪模拟模块ISAM与空气质量模式系统RAMS-CMAQ耦合,对2015年7月华北地区主要气溶胶物种（硫酸盐、硝酸盐、铵盐、黑碳、有机碳、沙尘和海盐）进行模拟,并且深入探讨了不同地区排放源对PM2.5质量浓度的贡献特征。模拟结果显示PM。2.5质量浓度高值主要出现在河北省南部和山东省西部北京和天津市的排放源对PM2.5质量浓度的贡献主要集中在本地,而河北和山东省则为华北地区PM2.5质量浓度的主要贡献者。就北京市而言,由于近年执行了多项减排措施,目前该地区的本地贡献占20%-30%。而河北和山东省是北京市PM2.5的主要区域传输贡献者,分别可超过25%和10%。此外,在污染背景下周边地区传输贡献的比重更大。当空气质量恶化时,河北和山东省的传输贡献比例均有所提升。因此,建议在污染期间,应重点基于对区域尺度的排放源开展协同控制,制定综合的减排措施方可进一步降低北京市的PM2.5质量浓度。

引用

页码：143 / 149

页数：7

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