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Spatial, seasonal and diurnal patterns in physicochemical characteristics and sources of PM2.5 in both inland and coastal regions within a megacity in China

机译:中国特大城市内陆和沿海地区物理化学特征和PM2.5来源的空间,季节性和昼夜模式

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摘要

Day and night PM2.5 samples were collected at coastal and inland stations in a megacity in China. Temporal, spatial, and directional characteristics of PM2.5 concentrations and compositions were investigated. Average PM2.5 concentration was higher at inland (153.28 mu g/m(3)) than at coastal (114.46 mu g/m(3)). PM2.5 were significantly influenced by season and site but insignificantly by diurnal pattern. Sources were quantified by a two-way and a newly developed three-way receptor models conducted using ME2. Secondary sulfate and SOC (SS&SOC, 25% and 23%), coal and biomass burning (CC&BB, 20% and 21%), crustal and cement dust (CRD&CED, 19% and 21%), secondary nitrate (SN, 13% and 18%), vehicular exhaust (VE, 14% and 17%), and sea salt (SEA, 6% and 2%) were major sources for coastal and inland. Different mechanisms of heavy pollution were observed: heavy PM2.5 caused by primary sources and secondary sources showed similar frequency at coast, while most of heavy pollutions at inland site might be associated with the elevation of secondary particles. For spatial characteristics, SS&SOC, CRD&CED contributions were higher at coastal; SN and VE presented higher fractions at inland. Higher SS&SOC, SN and CC&BB in winter might be attributed to intensive coal combustion for residential warming and to stable meteorological conditions. (C) 2017 Elsevier B.V. All rights reserved.
机译:白天和晚上,PM2.5样品是在中国特大城市的沿海和内陆站收集的。研究了PM2.5浓度和成分的时间,空间和方向特征。内陆地区的平均PM2.5浓度(153.28μg/ m(3))高于沿海地区(114.46μg/ m(3))。 PM2.5受季节和地点的影响很大,但受昼夜模式的影响很小。通过使用ME2进行的双向和新开发的三向受体模型对来源进行定量。次生硫酸盐和SOC(SS&SOC分别为25%和23%),燃煤和生物质燃烧(CC&BB分别为20%和21%),地壳和水泥粉尘(CRD&CED分别为19%和21%),次生硝酸盐(SN分别为13%和21%) 18%),汽车尾气(VE,14%和17%)和海盐(SEA,6%和2%)是沿海和内陆的主要来源。观察到了不同的重污染机理:主要污染源和次要污染源造成的PM2.5污染在沿海地区的发生频率相似,而内陆站点的大部分重污染可能与次级颗粒物的升高有关。就空间特征而言,沿海地区的SS&SOC,CRD&CED贡献较高; SN和VE在内陆的比例更高。冬季较高的SS&SOC,SN和CC&BB可能归因于为住宅变暖而进行的大量煤炭燃烧以及稳定的气象条件。 (C)2017 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Journal of Hazardous Materials》 |2018年第15期|139-149|共11页
  • 作者单位

    Nankai Univ, Coll Environm Sci & Engn, State Environm Protect Key Lab Urban Ambient Air, Tianjin 300071, Peoples R China;

    Nankai Univ, Coll Environm Sci & Engn, State Environm Protect Key Lab Urban Ambient Air, Tianjin 300071, Peoples R China;

    Res Inst Meteorol Sci, Tianjin 300074, Peoples R China;

    Nankai Univ, Coll Environm Sci & Engn, State Environm Protect Key Lab Urban Ambient Air, Tianjin 300071, Peoples R China;

    Nankai Univ, Coll Environm Sci & Engn, State Environm Protect Key Lab Urban Ambient Air, Tianjin 300071, Peoples R China;

    Nankai Univ, Coll Environm Sci & Engn, State Environm Protect Key Lab Urban Ambient Air, Tianjin 300071, Peoples R China;

    Univ Cent Florida, Dept Civil Environm & Construct Engn, Orlando, FL 32816 USA;

    Nankai Univ, Coll Environm Sci & Engn, State Environm Protect Key Lab Urban Ambient Air, Tianjin 300071, Peoples R China;

    Nankai Univ, Coll Environm Sci & Engn, State Environm Protect Key Lab Urban Ambient Air, Tianjin 300071, Peoples R China;

    Georgia Inst Technol, Atlanta, GA 30332 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    PM2.5; Chemical composition; Source; ME2; Three-way factor analysis model;

    机译:PM2.5;化学成分;来源;ME2;三向因子分析模型;
  • 入库时间 2022-08-17 13:21:50

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