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Emission characteristics of fine particulate matter from ultra-low emission power plants

机译:来自超低排放发电厂的细颗粒物质的排放特性

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摘要

As one of the highest energy consuming and polluting industries, the power generation industry is an important source of particulate matter emissions. Recently, implementation of ultra-low emission technology has changed the emission characteristic of fine particulate matter (PM2.5). In this study, PM2.5 emitted from four typical power plants in China was sampled using a dilution channel sampling system, and analyzed for elements, water-soluble ions and carbonaceous fractions. The results showed that PM2.5 concentrations emitted from the four power plants were 0.78 +/- 0.16, 0.63 +/- 0.09, 0.29 +/- 0.07 and 0.28 +/- 0.01 mg m(-3), respectively. Emission factors were 0.004-0.005 g/kg coal, nearly 1-2 orders of magnitude lower than those reported in previous studies. The highest proportions of PM2.5 consisted of organic carbon (OC), SO42-, elemental carbon (EC), NH4+, Al and Cl-. Coefficients of divergence (CDs) were in the ranges 0.22-0.41 (for an individual plant), 0.43-0.69 (among different plants), and 0.60-0.99 (in previous studies). The results indicated that the source profiles of each tested power plant were relatively similar, but differed from those in previous studies. Enrichment factors showed elevated Se and Hg, in accordance with the source markers Se and As. Comparing source profiles with previous studies, the proportion of OC, EC and NH4+ were higher, while the proportion of Al in PM2.5 were relatively lower. The OC/EC ratio became concentrated at similar to 5. Results from this study can be used for source apportionment and emission inventory calculations after implementation of ultra-low emission technologies. (C) 2019 Elsevier Ltd. All rights reserved.
机译:作为最高能耗和污染行业之一,发电业是颗粒物质排放的重要来源。最近,超低排放技术的实施改变了细颗粒物质(PM2.5)的发射特性。在本研究中,使用稀释通道采样系统对来自中国的四种典型发电厂发出的PM2.5,并分析为元素,水溶性离子和碳质馏分。结果表明,从四个发电厂发射的PM2.5浓度分别为0.78 +/- 0.16,0.63 +/- 0.09,0.29 +/- 0.07和0.28 +/- 0.01mg m(-3)。排放因子为0.004-0.005克/千克煤,比以往研究中报告的额为近1-2的数量级。 PM2.5的最高比例由有机碳(OC),SO42,元素碳(EC),NH4 +,Al和Cl-组成。分歧系数(CDS)在0.22-0.41(用于个体植物)的范围内,0.43-0.69(不同植物中)和0.60-0.99(在以前的研究中)。结果表明,每个测试的发电厂的源轮廓相对相似,但与先前研究中的那些不同。富集因子显示升高的SE和HG,根据源标志物SE和作为。将源分布与先前的研究相比,OC,EC和NH4 +的比例较高,而PM2.5中Al的比例相对较低。 OC / EC比率集中于类似于5.本研究的结果可用于实施超低发射技术后的源分摊和排放库存计算。 (c)2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Environmental Pollution》 |2019年第1期|113157.1-113157.8|共8页
  • 作者单位

    Shanghai Jiao Tong Univ Sch Environm Sci & Engn Shanghai 200240 Peoples R China;

    Shanghai Environm Monitor Ctr Shanghai 200235 Peoples R China;

    Shanghai Baosteel Ind Technol Serv Co LTD Shanghai 201900 Peoples R China;

    Shanghai Environm Monitor Ctr Shanghai 200235 Peoples R China;

    Shanghai Jiao Tong Univ Sch Environm Sci & Engn Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ Sch Environm Sci & Engn Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ Sch Environm Sci & Engn Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ Sch Environm Sci & Engn Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ Sch Environm Sci & Engn Shanghai 200240 Peoples R China;

    Shanghai Baosteel Ind Technol Serv Co LTD Shanghai 201900 Peoples R China;

    Shanghai Baosteel Ind Technol Serv Co LTD Shanghai 201900 Peoples R China;

    Shanghai Environm Monitor Ctr Shanghai 200235 Peoples R China;

    Shanghai Jiao Tong Univ Sch Environm Sci & Engn Shanghai 200240 Peoples R China;

  • 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

    Power plant; PM2.5; Dilution stack sampling; Emission factors; Source profile; Source markers;

    机译:发电厂;PM2.5;稀释堆采样;排放因子;源简介;源标记;

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