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Source profiles and emission factors of organic and inorganic species in fine particles emitted from the ultra-low emission power plant and typical industries

机译:超低排放发电厂和典型工业发出的细颗粒中有机和无机物种的源曲线和排放因子

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摘要

Accurate source markers, source profiles and species-based emission factors (EFs) are currently the key limitations for source apportionment and emission inventory researches. Fine particles (PM_(2.5)) were collected from stack gases of eight types of stationary sources with a dilution sampling system. The mass percentages and Efs of 89 kinds of chemical species in PM_(2.5) including water-soluble ions, elements, carbonaceous species and molecular organic species were obtained. Results showed that water-soluble ions (8%-54%) and elements (5%-45%) were the dominant chemical species. Palmitic acid (0.19%-0.62%) and stearic acid (0.21%-0.59%) were the most abundant organic species. PM_(2.5) source profiles of the eight sources were different from each other with the coefficient of divergence values all higher than 0.4. The addition of organic species could help to further distinguish them. The indicatory chemical components and specific species ratios were obtained by both a statistical equation and randomForest. These indicatory chemical components (e.g. F~- for glass factory) and species ratios (e.g. K~+/Mg~(2+) & OC/Mg for pharmaceutical factory) improved the current knowledges of their indicatory performance in source identification of ambient PM_(2.5). The Efs of PM_(2.5) from the eight stationary sources ranged from 0.019 to 51.6 kg t~(-1) of fuel used. The Efs of PM_(2.5) from the pharmaceutical factory were about 70-2600 times higher than other seven types of sources due to the lack of dust-removing devices. Certain Efs measured in this study were about 10-36,000 times lower than corresponding Efs estimated in previous studies which didn't perform field measurements, indicating the necessity for improving emission inventories continuously. This study contributes to identifying emission sources of PM_(2.5) especially for subtypes of stationary sources and to establishing species-based emission inventories.
机译:准确的源标记,源简介和基于物种的排放因子(EFS)是目前源分摊和排放库存研究的关键限制。通过稀释采样系统从八种静止源的堆气中收集细颗粒(PM_(2.5))。在PM_(2.5)中,包括水溶性离子,元素,碳质物种和分子有机物质的89种化学物质的质量百分比和EF。结果表明,水溶性离子(8%-54%)和元素(5%-45%)是显性化学物质。棕榈酸(0.19%-0.62%)和硬脂酸(0.21%-0.59%)是最丰富的有机物物种。 PM_(2.5)八个源的源配置文件彼此不同,其分歧值均高于0.4。添加有机物种可以有助于进一步区分它们。通过统计方程和随机速度获得陈述化学成分和特异性物质比率。这些展示化学成分(例如F〜 - 用于玻璃厂)和物种比率(例如,制药厂的K〜+ / mg〜(2+)&oc / mg)改善了它们在环境PM的源识别中的展示性能的当前知识(2.5)。来自八个固定源的PM_(2.5)的EFS从所使用的燃料的0.019至51.6千克T〜(-1)。由于缺少除尘设备,PM_(2.5)的EFS来自制药厂的PM_(2.5)的EF比其他七种来源高出70-2600倍。在本研究中测量的某些EF比以往的研究中估计的相应EFS低约10-36,000倍,这没有执行现场测量,表明连续改善排放清单的必要性。本研究有助于识别PM_(2.5)的排放来源,特别是对于固定来源的亚型以及建立基于物种的排放库存。

著录项

  • 来源
    《Science of the total environment》 |2021年第1期|147966.1-147966.13|共13页
  • 作者单位

    Department of Atmospheric Sciences School of Environmental Sciences China University ofGeosciences Wuhan 430074 China Department of Environmental Science and Technology School of Environmental Sciences China University of Geosciences Wuhan 430074 China;

    Department of Atmospheric Sciences School of Environmental Sciences China University ofGeosciences Wuhan 430074 China Department of Environmental Science and Technology School of Environmental Sciences China University of Geosciences Wuhan 430074 China;

    Institute of Surface-Earth System Science School of Earth System Science Tianjin University Tianjin 300072 China;

    Institute of Surface-Earth System Science School of Earth System Science Tianjin University Tianjin 300072 China;

    Department of Atmospheric Sciences School of Environmental Sciences China University ofGeosciences Wuhan 430074 China Department of Environmental Science and Technology School of Environmental Sciences China University of Geosciences Wuhan 430074 China;

    Department of Atmospheric Sciences School of Environmental Sciences China University ofGeosciences Wuhan 430074 China Department of Environmental Science and Technology School of Environmental Sciences China University of Geosciences Wuhan 430074 China;

    Department of Atmospheric Sciences School of Environmental Sciences China University ofGeosciences Wuhan 430074 China Department of Environmental Science and Technology School of Environmental Sciences China University of Geosciences Wuhan 430074 China;

    Department of Environmental Science and Technology School of Environmental Sciences China University of Geosciences Wuhan 430074 China;

    Department of Atmospheric Sciences School of Environmental Sciences China University ofGeosciences Wuhan 430074 China Department of Environmental Science and Technology School of Environmental Sciences China University of Geosciences Wuhan 430074 China;

    Department of Atmospheric Sciences School of Environmental Sciences China University ofGeosciences Wuhan 430074 China Department of Environmental Science and Technology School of Environmental Sciences China University of Geosciences Wuhan 430074 China;

    Department of Atmospheric Sciences School of Environmental Sciences China University ofGeosciences Wuhan 430074 China;

    Department of Atmospheric Sciences School of Environmental Sciences China University ofGeosciences Wuhan 430074 China;

    Department of Environmental Science and Technology School of Environmental Sciences China University of Geosciences Wuhan 430074 China;

    Department of Atmospheric Sciences School of Environmental Sciences China University ofGeosciences Wuhan 430074 China;

    Hubei Academy of Environmental Sciences Wuhan 430074 China;

    Hubei Academy of Environmental Sciences Wuhan 430074 China;

    Hubei Academy of Environmental Sciences Wuhan 430074 China;

    Department of Atmospheric Sciences School of Earth Sciences Zhejiang University Hangzhou 310058 China;

    Department of Environmental Science and Technology School of Environmental Sciences China University of Geosciences Wuhan 430074 China;

    Institute of Surface-Earth System Science School of Earth System Science Tianjin University Tianjin 300072 China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Stationary sources; PM2.5; Organic species; Inorganic species; Emission factors; Source profiles;

    机译:静止的来源;PM2.5;有机物种;无机物种;排放因子;源配置文件;

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