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近周边电厂源对北京市采暖期间SO2的贡献分析
引用本文:黄 青,程水源,陈东升,郭秀锐,周 颖,李 悦. 近周边电厂源对北京市采暖期间SO2的贡献分析[J]. 环境科学研究, 2009, 22(5): 567-573
作者姓名:黄 青  程水源  陈东升  郭秀锐  周 颖  李 悦
作者单位:北京工业大学环境与能源工程学院,北京 100124
基金项目:国家重点基础研究发展规划(973计划),国家自然科学基金 
摘    要:应用中尺度气象模式(MM5)与区域多尺度空气质量模型(CAMx)的耦合模型系统,模拟研究了2005年采暖期间近北京地区电厂源排放对北京市空气质量的影响;采用SO2贡献来源识别技术筛选了对北京市空气质量影响大的区域电厂源. 结果表明:近北京地区电厂源对北京市ρ(SO2)的影响从南到北呈递减趋势,其对北京城区、北京全市ρ(SO2)月均贡献值分别为6.97和6.40 μg/m3;影响北京城区ρ(SO2)的电厂排放源主要来自张家口、唐山、天津、石家庄、廊坊和衡水等地区,占ρ(SO2) 总贡献值的83.2%;为缓解北京采暖期间SO2污染压力,应首先控制和削减张家口、天津、唐山、石家庄地区SO2排放量大的电厂源. 

关 键 词:电厂   大气污染   数值模拟   二氧化硫
收稿时间:2008-09-25
修稿时间:2008-11-13

Beijing SO2 Source Apportionment from Regional Power Plants During Heating Season
HUANG Qing,CHENG Shui-yuan,CHEN Dong-sheng,GUO Xiu-rui,ZHOU Ying and LI Yue. Beijing SO2 Source Apportionment from Regional Power Plants During Heating Season[J]. Research of Environmental Sciences, 2009, 22(5): 567-573
Authors:HUANG Qing  CHENG Shui-yuan  CHEN Dong-sheng  GUO Xiu-rui  ZHOU Ying  LI Yue
Affiliation:College of Environmental and Energy Engineering, Beijing University of Technology, Beijing 100124, China
Abstract:An integrated MM5-CAMx modeling system was applied to study the effects of regional power plant emissions on the SO2 air quality in Beijing during theheating season. The SO2 source apportionment technology was used to investigate the influence of these regions on air quality in Beijing. Results indicated that SO2 concentration in Beijing decreased from south to north,and the monthly concentrations were 6.97 and 6.40 μg/m3 for the urbanonly andentire area of Beijing, respectively. The SO2 source apportionment study showedthat regional power plant emissions from Zhangjiakou, Tangshan, Tianjin, Shijiazhuang, Langfang and Hengshui account for 83.2% of the SO2 contribution in urbanBeijing. Comprehensive analysis indicated that for the purpose of mitigating air pollution and improving air quality in Beijing, it is critical to control and reduce power plant emissions in Zhangjiakou, Tianjin, Tangshan and Shijiazhuang,which had greater emission amounts and higher contributions. 
Keywords:power plant  air pollution  numerical simulation  sulfur dioxide  
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