摘要
利用第三代空气质量模型CMAQ对广东省佛山市2014年11月大气PM_(2.5)浓度进行模拟,结合观测数据比对分析,显示模型对PM_(2.5)具有良好的模拟性能.通过敏感性分析,研究了佛山本地各污染源对PM_(2.5)浓度的相对贡献以及周边地区外来源对佛山PM_(2.5)的影响.结果发现,整个研究时段佛山本地源对PM_(2.5)贡献占主导,平均贡献为64.9%;而污染时段外来源影响增强,如广州对湖涌和惠景城站点平均相对贡献为36.8%,清远对云东海站点相对贡献为18.5%.佛山本地各类源对PM_(2.5)浓度的影响差别明显,污染时段,工业源对湖涌站点相对贡献为54.6%,对其他站点的相对贡献为28.2%~30.2%;流动源对惠景城站点相对贡献为28.9%.通过情景分析,在改善大气环境过程中提出对佛山各类型源的有效削减策略,同时注意城市间协作、区域间联防联控的控制措施.
The Model-3/CMAQ chemical transport model was employed to simulate PM2.5concentration in Foshan during November2014.The comparison between the modelled and observed concentrations suggested a good performance for PM2.5.Sensitivity analysis was used to investigate the relative importance of local emission sources on ambient PM2.5in Foshan and the influence of air pollution originated from surrounding areas.The results indicated that local sources dominated the ambient concentration of PM2.5in Foshan with an average contribution of64.9%during the whole campaign.For the pollution episodes,the impact of regional sources enhanced significantly,e.g.emissions from Guangzhou accounted for up to36.8%of PM2.5at Huchong and Huijingcheng,and sources from Qingyuan contributed18.5%of PM2.5at Yundonghai.The influences of various local sources on PM2.5in Foshan showed distinctive differences.In the pollution episodes,local industrial emissions were estimated to contribute54.6%of PM2.5at Huchong while only28.2%~30.2%for other sites.28.9%of PM2.5concentration at Huijingcheng was attributed to vehicle exhaust emissions.In order to improve the air quality in Foshan,effective reduction measures on local sources should be fully implemented,together with inter-cities collaboration and inter-regional prevention and control.
作者
赵文龙
李云鹏
余永昌
邓思欣
龚道程
古颖纲
王伯光
ZHAO Wen-long;LI Yun-peng;YU Yong-chang;DENG Si-xin;GONG Dao-cheng;GU Ying-gang;WANG Bo-guang(Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China;Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China;Foshan Environmental Monitoring Center, Foshan 528000,China)
出处
《中国环境科学》
EI
CAS
CSSCI
CSCD
北大核心
2017年第5期1716-1723,共8页
China Environmental Science
基金
国家自然科学基金青年基金资助项目(41505104)
国家自然科学基金重大计划重点项目(91544215)
国家自然科学基金面上项目(41373116)
中央高校基本科研业务费专项资金资助项目(21615319)
