摘要
以东莞市PM_(2.5)重污染月份为例,使用强力法(Brute Force)和RSM/CMAQ曲面响应模型法分别解析了珠三角地区人为源排放对东莞PM_(2.5)的贡献,以及区域传输的可控人为源SO_2、NO_x和一次颗粒物(PM)在不同控制比例下(25%、50%、75%和100%)对东莞PM_(2.5)的累积浓度贡献.强力法研究结果表明,2014年1月珠三角地区人为源二次转化对东莞市PM_(2.5)的贡献(约58.10%)大于一次PM排放贡献(约41.90%),其中,人为源NH_3排放贡献最大,约占总量的21.66%.RSM/CMAQ动态源贡献结果显示,东莞市PM_(2.5)的人为可控源排放贡献(SO_2、NO_x和一次PM)占比为82.17%,受本地排放影响较大,且叠加区域排放的影响;一次PM减排对PM_(2.5)环境浓度的贡献高于仅减排SO_2和NO_x.在减排比例较低时,一次PM减排可有效削减东莞市PM_(2.5)浓度;随控制比例加大,二次前体物(SO_2和NO_x)减排对东莞市PM_(2.5)浓度削减率的影响加大.进一步使用HYSPLIT模式和轨迹聚类分析方法研究了2014年1月东莞市PM_(2.5)污染传输过程.结果显示,该时段共有6条长、短距离污染传输路径,污染物主要来自东莞市东、东北及东南方向,途经其上风向区域(惠州、深圳和广州等)传输至东莞;惠州是各主导上风向出现频率最高的城市,因而其区域传输对东莞PM_(2.5)的贡献也较大,深圳次之.
Taking the typical PM2.5-polluted month in Dongguan as an example,Brute Force and RSM/CMAQ（ Response surface model/communitymulti-scale air quality） were respectively used to analyze the contribution of anthropogenic emissions of the Pearl River Delta region to ambient PM2.5 in Dongguan,and the cumulative contribution of regional anthropogenic controllable emissions（ SO2,NOx and primary particulates（ PM）） for ambient PM2.5 in Dongguan at different control ratios（ 25%,50%,75% and 100%）. The results of Brute Force indicated that the contribution of secondary transformation of anthropogenic emissions（ about 58.10%） in the PRD Region for PM2.5 in Dongguan was greater than that of primary particulates（ PM）（about 41.90%） in January 2014,and the anthropogenic NH3 emissions contributed the most,accounting for 21.66% of the total. The results of RSM/CMAQ showed that the contribution of total anthropogenic controllable emissions（ SO2,NOxand PM） to PM2.5 concentration in Dongguan was 82.17%,which was greatly affected by the local emissions and superimposed by regional emissions,and the contribution of primary particulates（ PM） emission reduction was higher than that of only reducing emission of SO2 and NOx to the ambient concentration of PM2.5. Moreover,when the control ratios of emission sources were low,primary particulates（ PM） emission reduction can effectively reduce PM2.5 concentration in Dongguan,with the increase of control ratios,the influence of secondary precursors（ SO2 and NOx） emission reduction on the reduction rate of PM2.5 concentration in Dongguan will increase. This paper further used the HYSPLIT model and trajectory clustering method to study the transmission process of PM2.5 pollution in Dongguan in January 2014. The results showed that during this period,there were 6 long and short-distance routes of pollution transmission,the pollutants were mainly from the east,northeast,and southeast,passing through the upstream wind direction of Dongguan（ Huizhou,Shenzhe
作者
杨再东
朱云
陶谨
陈享华
刘可旋
Carey Jang
王书肖
邢佳
游志强
余美芳
YANG Zaidong;ZHU Yun;TAO Jin;CHEN Xianghua;LIU Kexuan;Carey Jang;WANG Shuxiao;XING Jia;YOU Zhiqiang;YU Meifang(Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control,College of Environment and Energy,South China University of Technology,Guangzhou 510006;State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex,School of Environment,Tsinghua University,Beijing 100084;Environmental Protection Bureau of Dongguan,Dongguan 523009;USEPA/Office of Air Quality Planning ＆ Standards,RTP,NC27711,USA;Guangzhou Urban Environmental Cloud Information Technology R＆D Company Limited,Guangzhou 510006)
出处
《环境科学学报》
CAS
CSCD
北大核心
2018年第10期3877-3887,共11页
Acta Scientiae Circumstantiae
基金
国家重点研发计划(No.2016YFC0207606)
国家自然科学基金杰出青年基金(No.21625701)
大气重污染成因与治理攻关项目(No.DQGG0301).
关键词
PM2.5
曲面响应模型
源贡献分析
人为排放
区域传输
PM2.5
response surface model
source contribution analysis
anthropogenic emissions
regional transmission
