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贵州省生物质燃烧源大气污染物排放清单
摘要点击 1402  全文点击 386  投稿时间:2022-07-04  修订日期:2022-08-19
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中文关键词  生物质燃烧源  大气污染物  排放清单  贵州省  不确定性分析
英文关键词  biomass combustion  air pollutants  emission inventory  Guizhou Province  uncertainly analysis
作者单位E-mail
王艳妮 西安交通大学人居环境与建筑工程学院, 西安 710054
贵州省环境科学研究设计院, 贵阳 550081 
215521519@qq.com 
杨敬婷 贵州省环境科学研究设计院, 贵阳 550081  
黄贤峰 贵州省环境科学研究设计院, 贵阳 550081  
程燕 西安交通大学人居环境与建筑工程学院, 西安 710054  
陆标 贵州大学资源与环境工程学院, 贵阳 550025  
顾兆林 西安交通大学人居环境与建筑工程学院, 西安 710054 guzhaoln@mail.xjtu.edu.cn 
中文摘要
      为准确掌握贵州省生物质燃烧源大气污染物的排放状况,基于收集资料和实地调查结合的方式获取活动水平,引用文献和本地实测数据结合的方式选取排放系数,采用排放系数法结合GIS技术,建立了贵州省2019年3 km×3 km生物质燃烧源9种大气污染物排放清单.结果表明:①全省生物质燃烧源CO、NOx、SO2、NH3、VOCs、PM2.5、PM10、BC和OC的排放量分别为:293505.53、14781.19、4146.11、8501.07、45025.70、39463.58、41879.31、6832.33和15134.74 t.户用生物质炉具CO、SO2、NH3和BC的排放量贡献率最大,秸秆露天焚烧NOx、VOCs、PM2.5、PM10和OC的排放量贡献率最大.②各市(州)生物质燃烧源排放的大气污染物分布不均衡,主要集中于黔东南苗族侗族自治州.各二级源污染物排放量变化特征不同,月排放集中在2、3、4和12月,小时排放在每日14:00~15:00最大.③排放清单仍具有一定不确定性,后续研究中应进一步提升活动水平数据获取的准确性,继续开展更细分的排放系数本地化实测,完善贵州省生物质燃烧源排放清单,为大气污染协同治理提供科学依据.
英文摘要
      With the objective to ascertain the emissions of biomass combustion in Guizhou, the activity levels were measured through data collection and field surveys, and the emission factors were acquired using actual monitoring data and data cited from previous literature. A 3 km×3 km-gridded emission inventory of nine air pollutants from biomass combustion sources in Guizhou Province in 2019 was developed in combination with GIS technology. The results showed that the total emissions of CO, NOx, SO2, NH3, VOCs, PM2.5, PM10, BC, and OC in Guizhou were estimated to be 293505.53, 14781.19, 4146.11, 8501.07, 45025.70, 39463.58, 41879.31, 6832.33, and 15134.74 t, respectively. The distribution of atmospheric pollutants emitted by biomass combustion sources in different cities was noticeably uneven, being mainly concentrated in Qiandongnan Miao and Dong Autonomous Prefecture. The analysis of variation characteristics of emissions indicated that the monthly emissions were concentrated in February, March, April, and December, and the hourly emissions peaked daily from 14:00 to 15:00. Some uncertainty remained in the emission inventory. It is necessary to perform in-depth analyses of the accuracy of obtaining activity-level data, localize the emission factors through more combustion experiments in subsequent research for improving the emission inventory of air pollutants from biomass combustion in Guizhou Province, and provide a basis for the cooperative governance of the atmospheric environment.

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