摘要
利用第3代空气质量模式CMAQ对成渝经济区(四川)2012年1、4、7、10四个月的PM2.5浓度进行了数值模拟,并利用现状监测数据及遥感反演的AOD分布对模拟结果进行了对比分析,表明该模式对PM2.5模拟性能良好。根据CMAQ模拟结果,模拟的4个月中10月份PM2.5浓度最高,其次为4月份,1月最低;PM2.5浓度在空间分布上形成2个高值区,分别是成都、德阳和眉山区域,另一个是川南城市群的宜宾、自贡、内江等地市。利用CMAQ模式对成都及其周边地市之间PM2.5的相互影响分析表明,成都、绵阳、德阳3个地市城区PM2.5浓度受本地源影响较大,周边城市中德阳对成都影响最大,成都则对眉山影响最大。
In this paper,concentrations of PM 2. 5 in the January,April,July,October of 2012 were simulated by Models- 3 / CMAQin Chengdu- Chongqing Economic Zone( Sichuan). The comparison of the simulated results,which made by the AOD distribution of monitoring data and remote sensing inversion,indicated that this system had a good simulation performance on PM 2. 5. According to the simulation results of CMAQ in these four months,the highest concentration of PM 2. 5 is in October, followed by April,while the lowest is January; the spatial distribution of PM 2. 5 concentrations has two high- value areas,one is Chengdu,Deyang and Meishan area,the other is southern urban agglomerations,which include Yibin,Zigong,Neijiang City and other places. The analysis of the interaction effect on PM 2. 5 between Chengdu and its surrounding cities showed that the PM 2. 5 concentration in Chengdu,Mianyang and Deyang were greatly influenced bylocal sources,while Chengdu was mostly influenced by the pollution sources from Deyang,and Chengdu also was the greatest influenceon Meishan.
出处
《四川环境》
2013年第S1期109-113,共5页
Sichuan Environment
关键词
CMAQ
PM
2.5
数值模拟
成渝经济区
CMAQ
PM 2.5
numerical simulation
Chengdu-Chongqing economic zone