摘要
对于中国东部地区细粒子污染中存在的问题,用WRF-CMAQ空气质量模式,结合RSM模型,对颗粒物(PM),NOx,SO2,NH3,非甲烷挥发性有机物(NMVOC)5种污染物与PM2.5质量浓度之间的关联性及其影响进行分析.结果表明,排放条件和水平不同对PM排放的贡献不同,一次PM排放对3个地区PM2.5贡献最为明显,贡献最低的是NMVOC.随着控制水平的提高,NH3,NOx,SO2对PM2.5贡献会上升.对于北京地区,区域SO2排放对硫酸盐的贡献约80%,而本地SO2排放仅贡献了10%;在低控制率下,NOx排放对硫酸盐几乎没有贡献,随着控制率的提升,NOx排放的贡献逐渐增加.对于北京地区硝酸盐的贡献,区域NOx排放贡献近50%,本地NOx排放仅仅贡献5%;区域NH3排放的贡献约为30%,随着控制率的提高,本地NH3排放的贡献也有所提高.
For the problems of fine particle pollution in eastern China,effects of PM,NOx,SO2,NH3 and VOC emission sources on PM2.5 concentration were analyzed by using WRF-CMAQ model combined with RSM technology.Different emission conditions and different levels had different contributions to PM emission.Primary pollutant PM had the most significant contribution to PM2.5 in all three areas,and the lowest contribution was NMVOC.As the control level increased,the contribution of NH3,NOx and SO2 emissions to PM2.5 rose.In Beijing area,the contribution of SO2 emission to sulfates was about 80%,while the local SO2 emission contributed only 10%.Under the low control rate,NOx emission contributed little to the sulfate,and the contribution of NOx emission increased with the increase of the control rate.For the contribution of nitrates in Beijing,regional NOx emission contributed nearly 50%,and local NOx emission contributed only 5%.The contribution of regional NH3 emission was about 30%.With the improvement of control rate,the contribution of local NH3 emission had also been improved.
作者
马蕾
周晨虹
魏巍
Ma Lei;Zhou Chenhong;Wei Wei(Key Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions,Yinchuan 750002,China;Ningxia Key Lab of Meteorological Disaster Prevention and Reduction,Yinchuan 750002,China;Wuxi Municipal Environmental Monitoring Center Station,Wuxi 214121,China)
出处
《宁夏大学学报(自然科学版)》
CAS
2019年第4期398-403,共6页
Journal of Ningxia University(Natural Science Edition)
基金
中国气象局旱区特色农业气象灾害监测预警与风险管理重点实验室基金资助项目