摘要
为了持续改善环境空气质量,判断PM_(2.5)的来源是控制和治理的关键。该文应用WRF-CAMx模式,对福州地区2013年1、4、7、10月污染物的传输过程进行模拟。结果显示,工业源对PM_(2.5)浓度的贡献率最大,为45.9%~62.3%,其次交通源为17.2%~26.7%,民用源为13.6%~17.7%;本地源排放是福州地区污染物主要来源,本地源对PM_(2.5)的贡献率为83.8%~89.1%,外界传输贡献率为10.9%~16.2%;福州地区一次PM对PM_(2.5)的贡献最大,贡献率为64.6%~82.9%,SO2的贡献率为9.1%~12.1%,NOx贡献率为0.5%-12.5%。
The Fuzhou municipal government has set a target of Fuzhou air quality ranking in the top eight and striving to enter the top four for continuously improve the air quality. The key to control air pollution is to analysis source apportionment of PM2.5. The transmission process of Fuzhou air during January, April, July and October in 2013 is simulated using WRFCAMx model. The results showed that the contribution rate of industrial source to PM2.5 was the largest with the contribution rate of 45.9%~62.3%. And the contribution rates of mobile source and residential source were 17.2%~26.7% and 13.6%~17.7%,respectively. The local emission was the main source of air pollutants in Fuzhou with the contribution rate to PM2.5 of 83.8%~89.1%, and the contribution rate of regional transportation was 10.9% ~16.2%. The primary PM contribution to PM2.5 was the largest with the contribution rate of 64.6%~82.9%, the contribution rate of SO2 was 9.1%~12.1%, and the contribution rate of NOxwas 0.5%~12.5%.
出处
《环境科学与技术》
CAS
CSCD
北大核心
2018年第S1期251-256,共6页
Environmental Science & Technology
基金
2015年度国家环境保护公益性行业科研专项(201509076)