首页> 外文期刊>Journal of the air & waste management association >Apportionment of Ambient Primary and Secondary Fine Particulate Matter at the Pittsburgh National Energy Laboratory Particulate Matter Characterization Site Using Positive Matrix Factorization and a Potential Source Contributions Function Analysis
【24h】

Apportionment of Ambient Primary and Secondary Fine Particulate Matter at the Pittsburgh National Energy Laboratory Particulate Matter Characterization Site Using Positive Matrix Factorization and a Potential Source Contributions Function Analysis

机译:使用正矩阵因子分解和潜在源贡献函数分析,在匹兹堡国家能源实验室颗粒物表征点对环境主要和次要细颗粒物的分配

获取原文
           

摘要

Fine particulate matter (PM_(2.5)) concentrations associated with 202 24-hr samples collected at the National Energy Technology Laboratory (NETL) particulate matter (PM) characterization site in south Pittsburgh from October 1999 through September 2001 were used to apportion PM_(2.5) into primary and secondary contributions using Positive Matrix Factorization (PMF2). Input included the concentrations of PM_(2.5) mass determined with a FederalrnReference Method (FRM) sampler, semi-volatile PM_(2.5) organic material, elemental carbon (EC), and trace element components of PM_(2.5). A total of 11 factors were identified. The results of potential source contributions function (PSCF) analysis using PMF2 factors and HYSPLIT-calculated back-trajectories were used to identify those factors associated with specific meteorological transport conditions. The 11 factors were identified as being associated with emissions from various specific regions and facilities including crustal material, gasoline combustion, diesel combustion, and three nearby sources high in trace metals. Three sources associated with transport from coal-fired power plants to the southeast, a combination of point sources to the northwest, and a steel mill and associated sources to the west were identified. In addition, two secondary-material-dominated sources were identified, one was associated with secondary products of local emissions and one was dominated by secondary ammonium sulfate transported to the NETL site from the west and southwest. Of these 11 factors, the four largest contributors to PM_(2.5) were the secondary transported material (dominated by ammonium sulfate) (47%), local secondary material (19%), diesel combustion emissions (10%), and gasoline combustion emissions (8%). The other seven factors accounted for the remaining 16% of the PM_(2.5) mass. The findings are consistent with the major source of PM_(2.5) in the Pittsburgh area being dominated by ammonium sulfate from distant transport and so decoupled from local activity emitting organic pollutants in the metropolitan area. In contrast, the major local secondary sources are dominated by organic material.
机译:从1999年10月至2001年9月在美国匹兹堡南部的国家能源技术实验室(NETL)颗粒物(PM)表征点收集的202个24小时样品中收集的细颗粒物(PM_(2.5))浓度用于分摊PM_(2.5 )转化为使用正矩阵分解(PMF2)的主要和次要贡献。输入内容包括使用联邦参考方法(FRM)采样器确定的PM_(2.5)质量浓度,半挥发性PM_(2.5)有机材料,元素碳(EC)和PM_(2.5)的痕量元素组分。总共确定了11个因素。使用PMF2因子和HYSPLIT计算的反向轨迹对潜在源贡献函数(PSCF)进行分析的结果用于识别与特定气象运输条件相关的那些因子。确定这11个因素与来自各个特定区域和设施的排放有关,包括地壳材料,汽油燃烧,柴油燃烧以及附近三个含微量金属的排放源。确定了与从燃煤电厂向东南部运输相关的三个来源,向西北方向的点源的组合以及向西部运送的钢厂和相关源的组合。此外,还确定了两种以次要材料为主的来源,一种与当地排放的副产品有关,另一种则是由从西部和西南向NETL站点运输的二次硫酸铵所主导。在这11个因素中,造成PM_(2.5)的四个最大因素是二次运输的材料(以硫酸铵为主)(47%),当地的二次材料(19%),柴油燃烧的排放量(10%)和汽油燃烧的排放量。 (8%)。其他七个因素占PM_(2.5)质量的其余16%。该发现与匹兹堡地区PM_(2.5)的主要来源一致,该来源主要是来自远距离运输的硫酸铵,因此与大都市地区排放有机污染物的本地活动脱钩。相反,主要的局部次要来源主要是有机物质。

著录项

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号