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乌鲁木齐市固定燃烧点源大气污染物排放清单
引用本文:刘博薇,王宝庆,牛宏宏,胡新鑫.乌鲁木齐市固定燃烧点源大气污染物排放清单[J].环境污染与防治,2019,41(7):748-752,757.
作者姓名:刘博薇  王宝庆  牛宏宏  胡新鑫
作者单位:南开大学环境科学与工程学院,天津,300350;南开大学环境科学与工程学院,天津,300350;南开大学环境科学与工程学院,天津,300350;南开大学环境科学与工程学院,天津,300350
基金项目:国家自然科学基金资助项目;国家留学基金委访问学者基金资助项目
摘    要:通过现场调研结合物料衡算法、排放因子法,建立了2015年乌鲁木齐市固定燃烧点源大气污染物CO、NOx、SO2和PM2.5排放清单。结果表明,2015年乌鲁木齐市CO、NOx、SO2、PM2.5的排放量分别为4.41×10^4、6.20×10^4、4.61×10^4、1.57×10^4t;从排放污染物的行业来看,采矿与制造业对4种污染物排放的贡献最大,其对CO、NOx、SO2、PM2.5排放的贡献率分别为49.02%、42.17%、48.40%、78.55%。从地区分布来看,米东区污染物排放量最大,其对CO、NOx、SO2、PM2.5排放的贡献率分别为46.99%、45.90%、51.69%、29.68%。从排放时间来看,供暖季污染物的排放量明显高于非供暖季,白天的污染物排放量高于夜晚。采用蒙特卡罗统计法分析预测的污染物排放量与排放清单计算结果较为接近。

关 键 词:固定燃烧点源  排放清单  时空分布  不确定性分析

Atmospheric pollutant emission inventory from stationary combustion point source in Urumqi City
LIU Bowei,WANG Baoqing,NIU Honghong,HU Xinxin.Atmospheric pollutant emission inventory from stationary combustion point source in Urumqi City[J].Environmental Pollution & Control,2019,41(7):748-752,757.
Authors:LIU Bowei  WANG Baoqing  NIU Honghong  HU Xinxin
Institution:(College of Environmental Science and Engineering,Nankai University,Tianjin 300350)
Abstract:Based on field survey,material balance algorithm and emission factor method,the 2015 CO,NO x ,SO2 and PM2.5 emissions inventory of stationary combustion point sources in Urumqi City were established. Results showed that the emissions of CO,NO x ,SO2 and PM2.5 in Urumqi City were 4.41×10^4 ,6.20×10^4 ,4.61×10^4 , 1.57×10^4 t in2015. The mining and manufacturing industry contributed 49.02% to CO emission,42.17% to NO x emission,48.40% to SO2 emission,78.55% to PM2.5 emission. The largest contribution to CO,NOx ,SO2 and PM2.5 was from Midong district,which accounted for 46.99%,45.90%,51.69% and29.68%. The pollutant emissions were higher in heating season than in non-heating season, and higher in daytime than in nighttime. The result of uncertainty analysis showed that Monte Carlo simulation emissions were close to the calculation emissions.
Keywords:stationary combustion point source  emission inventory  temporal and spatial distribution  uncertainty analysis
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