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作 者:黄青[1] 程水源[1] 陈东升[1] 李悦[1] 周颖[1]
机构地区:[1]北京工业大学环境与能源工程学院,北京100124
出 处:《环境科学与技术》2010年第1期89-93,共5页Environmental Science & Technology
基 金:国家"973"计划项目(2005CB724201);国家自然科学基金项目资助(50878006)
摘 要:应用MM5/CMAx耦合模型对北京市一次SO2污染过程进行了模拟,采用SO2贡献来源识别技术对北京市SO2来源进行了识别分析。对北京及周边地区贡献识别分析表明,北京市影响本地SO2空气质量的主要地区为东城、西城、崇文、宣武、朝阳、丰台、石景山和海淀,贡献率合计为72.96%,影响北京市SO2空气质量的主要周边地区为河北、天津、山西和内蒙,贡献率合计为19.09%;对北京市行业贡献识别分析表明,影响北京市SO2空气质量的主要行业为采暖锅炉源和一般工业锅炉源,贡献率合计为60.09%。SO2贡献来源识别技术是全面、科学、高效的SO2来源贡献分析方法,该方法的应用将为筛选SO2贡献重点地区和重点行业、制定城市和区域大气污染控制方案提供科学依据。An integrated MM5/CAMx modeling system was applied to simulate a SO2 pollution process in Beijing, and a technique called SO2 source apportionment technology was used for investigating SO2 contributions from different sources and regions in this pollution process. Result indicated that Dongcheng, Xicheng, Chongwen, Xuanwu, Chaoyang, Fengtai, Shijingshan and Haidian were the main SO2 contribution regions in Beijing which accounted for 72.96% of SO2 contribution ratio, while Hebei, Tianjin, Shanxi and Inner Mongolia were the main SO2 contribution regions outside of Beijing which accounted for 19.09% of SO2 contribution ratio, and heating boiler and industry boiler were the main SO2 contribution sources in Beijing which accounted for 60.09% of SO2 contribution ratio. SO2 source apportionment technology is a comprehensive, scientific and efficient tool to analysis of SO2 source contribution. This technology provides an easy way to identify sensitive region and industry, and provides scientific proof to establish city and regional emission control and reduce plan.
分 类 号:X823[环境科学与工程—环境工程]
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