盐城市PM_(2.5)空气质量达标数值模拟研究
|
摘要
利用盐城市2016年空气质量数据,分析了盐城市6项常规污染物的达标差距。在此基础上设置减排情景,并运用WRF-CMAQ空气质量模型针对三个减排情景开展模拟评估。2016年盐城市PM_(2.5)年均浓度为43μg/m~3,超过国家《环境空气质量标准》(GB 3095-2012)二级标准22.8%。模拟结果显示常规减排情景下盐城市即可实现2020年39.0μg/m~3空气质量改善目标,但是常规减排情景和强化减排情景下,盐城市PM_(2.5)浓度均未能达到2030年的预期目标。在进一步实施产业结构升级和能源结构调整降低VOCs和NH_3排放后,可于2030年实现PM_(2.5)浓度低于35.0μg/m~3的预期目标。
Based on the air quality data in 2016, thegapwith the standard in Yancheng were analyzed. With WRF-CMAQ model, a series of numerical experiments were conducted to investigate the responses of PM_(2.5) concentration to three emission scenarios. The results showed that the annual average concentration of the PM_(2.5) in 2016 was 43 μg/m~3, which exceeded the national Ambient Air Quality Standard(AAQS)(BG 3095-2012) Grade II standards 22.8%. In order to achieve air quality improvement target in 2020, the conventional emission scenario with strengthen pollution controlling in industry should be implemented. Under the conventional emission scenario and the enhanced emission scenario, PM_(2.5) concentrations failed to meet the target of 35.0 μg/m~3 in 2030. After implementing industrial structure upgrading and energy structure adjustment, the emissions of VOCs and NH_3 are greatly reduced. Then PM_(2.5) concentration can be further reduced to meet the air quality attainment target in 2030.
Based on the air quality data in 2016, thegapwith the standard in Yancheng were analyzed. With WRF-CMAQ model, a series of numerical experiments were conducted to investigate the responses of PM_(2.5) concentration to three emission scenarios. The results showed that the annual average concentration of the PM_(2.5) in 2016 was 43 μg/m~3, which exceeded the national Ambient Air Quality Standard(AAQS)(BG 3095-2012) Grade II standards 22.8%. In order to achieve air quality improvement target in 2020, the conventional emission scenario with strengthen pollution controlling in industry should be implemented. Under the conventional emission scenario and the enhanced emission scenario, PM_(2.5) concentrations failed to meet the target of 35.0 μg/m~3 in 2030. After implementing industrial structure upgrading and energy structure adjustment, the emissions of VOCs and NH_3 are greatly reduced. Then PM_(2.5) concentration can be further reduced to meet the air quality attainment target in 2030.
引文
[1]Hua Y,Cheng Z,Wang S,et al.Characteristics and source apportionment of PM2.5,during a fall heavy haze episode in the Yangtze River Delta of China[J].Atmospheric Environment,2015,123:380-391.
[2]Fu X,Wang X,Hu Q,et al.Changes in visibility with PM2.5 composition and relative humidity at a background site in the Pearl River Delta region.[J].Journal of Environmental Sciences,2016,40(2):10-19.
[3]Tie X,Wu D,Brasseur G.Lung cancer mortality and exposure to atmospheric aerosol particles inGuangzhou,China[J].Atmospheric Environment,2009,43(14):2375-2377.
[4]何伟,宋国君.论空气质量达标规划制度[J].环境保护,2017(1):35-38.
[5]清洁空气联盟.城市空气质量达标规划编制手册[R],2017.
[6]颜敏,李焕承,徐光仪,等.深圳市环境空气质量达标研究[J].环境科学与管理,2016(1):25-28.
[7]Byun,D.,and K.L.Schere,Review of the governing equations,computational algorithms,and other components of the Models-3 Community Multiscale Air Quality(CMAQ) modeling system[J].Applied Mechanics Reviews,2006,59:51-77.
[2]Fu X,Wang X,Hu Q,et al.Changes in visibility with PM2.5 composition and relative humidity at a background site in the Pearl River Delta region.[J].Journal of Environmental Sciences,2016,40(2):10-19.
[3]Tie X,Wu D,Brasseur G.Lung cancer mortality and exposure to atmospheric aerosol particles inGuangzhou,China[J].Atmospheric Environment,2009,43(14):2375-2377.
[4]何伟,宋国君.论空气质量达标规划制度[J].环境保护,2017(1):35-38.
[5]清洁空气联盟.城市空气质量达标规划编制手册[R],2017.
[6]颜敏,李焕承,徐光仪,等.深圳市环境空气质量达标研究[J].环境科学与管理,2016(1):25-28.
[7]Byun,D.,and K.L.Schere,Review of the governing equations,computational algorithms,and other components of the Models-3 Community Multiscale Air Quality(CMAQ) modeling system[J].Applied Mechanics Reviews,2006,59:51-77.