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四川省基于第二次污染源普查数据的人为源大气污染源排放清单及特征
摘要点击 1968  全文点击 810  投稿时间:2020-02-23  修订日期:2020-04-20
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中文关键词  四川省  第二次污染源普查  人为源  排放清单  排放贡献  空间分布
英文关键词  Sichuan Province  second survey of pollution sources  anthropogenic source  emission inventory  emission contribution  pollution spatial allocation
作者单位E-mail
徐晨曦 四川省生态环境科学研究院, 成都 610000 172626527@qq.com 
陈军辉 四川省生态环境科学研究院, 成都 610000 9503062@qq.com 
李媛 四川省生态环境科学研究院, 成都 610000  
何敏 四川省生态环境科学研究院, 成都 610000  
冯小琼 四川省生态环境科学研究院, 成都 610000  
韩丽 四川省生态环境科学研究院, 成都 610000  
刘政 四川省生态环境科学研究院, 成都 610000  
钱骏 四川省生态环境科学研究院, 成都 610000  
中文摘要
      本研究根据自下而上和自上而下相结合的方法收集四川省人为源活动水平数据,其中工业源活动水平来自四川省第二次污染源普查数据,涵盖11020台锅炉信息、60078家工业企业信息,成都市收集了19152家工业企业数据,占四川省企业总数的32%.各污染源选取合理的排放因子并结合GIS技术,构建了该地区2017年9 km×9 km人为源大气污染物排放清单.结果表明,2017年四川省SO2、NOx、CO、PM10、PM2.5、BC、OC、VOCs和NH3排放总量分别为308.6×103、725.7×103、3131.2×103、927.6×103、422.4×103、30.2×103、72.0×103、600.9×103和887.1×103t.固定燃烧源和工艺过程源是SO2主要贡献源,CO的主要贡献源为工艺过程源和移动源,扬尘源和工艺过程源为PM10和PM2.5的主要贡献源,扬尘源是BC和OC最大贡献源,VOCs排放源主要来自工艺过程源、移动源和溶剂使用源,NH3排放主要来源于畜禽养殖和氮肥施用.污染空间分布结果显示,各项污染物主要集中分布于人口密集,工业和农业较为发达的四川盆地和攀枝花部分区域,高值点位集中在成都平原地区的德阳—成都—眉山—乐山沿线.本研究建立的排放清单仍具有一定不确定性,后续研究工作中应进一步加强活动水平数据获取的准确性,针对典型污染源开展污染物排放因子测试工作,完善网格化排放清单,为四川省大气污染防治提供科学支撑.
英文摘要
      In this research, the activity data of Sichuan Province were collected using bottom-up and top-down methods. According to the second survey of pollution sources, the activity data of industrial source includes information of 11020 boilers and 60078 industrial enterprises. Data of 19152 industrial enterprises were collected in Chengdu, accounting for 32% of the total number of enterprises in Sichuan Province. The anthropogenic air pollutant emission inventory of 9 km×9 km was developed for Sichuan Province in 2017 with the use of appropriate emission estimation methods. The results showed that the total emission of SO2,NOx,CO,PM10,PM2.5,BC,OC,VOCs, and NH3 in Sichuan were 308.6×103, 725.7×103, 3131.2×103, 927.6×103, 422.4×103, 30.2×103, 72.0×103, 600.9×103, and 887.1×103 t. The fixed combustion source and process source mainly contributed as sources of SO2. The main source of CO was the process source and mobile source. Further, the dust source and process source were the main sources of PM10 and PM2.5, and the dust source was the largest source of BC and OC contributions. The emission sources of the VOCs were primarily the process sources, mobile sources and solvent use sources. The NH3 emissions were mainly from livestock and poultry breeding and nitrogen fertilizer applications. The spatial distribution results showed that the pollutants were mainly concentrated in the densely populated Sichuan basin and Panzhihua region, where industry and agriculture were relatively developed. The high value points are concentrated along the Deyang-Chengdu-Meishan-Leshan line in Chengdu Plain. The emission inventory established in this study still has certain uncertainties, and the accuracy of activity level data acquisition should be further enhanced. Moreover, pollutant emission factor testing should be carried out for typical pollution sources, and grid emission inventory should be improved to provide scientific support for the prevention and control of air pollution in Sichuan Province in the future.

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