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VOCs emission rate estimate for complicated industrial area source using an inverse-dispersion calculation method: A case study on a petroleum refinery in Northern China

机译:用逆扩散计算方法估算复杂工业区源的VOCs排放量:以中国北方某炼油厂为例

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摘要

This study aimed to apply an inverse-dispersion calculation method (IDM) to estimate the emission rate of volatile organic compounds (VOCs) for the complicated industrial area sources, through a case study on a petroleum refinery in Northern China. The IDM was composed of on-site monitoring of ambient VOCs concentrations and meteorological parameters around the source, calculation of the relationship coefficient gamma between the source's emission rate and the ambient VOCs concentration by the ISC3 model, and estimation of the actual VOCs emission rate from the source. Targeting the studied refinery, 10 tests and 8 tests were respectively conducted in March and in June of 2014. The monitoring showed large differences in VOCs concentrations between background and downwind receptors, reaching 59.7 ppbv in March and 248.6 ppbv in June, on average. The VOCs increases at receptors mainly consisted of ethane (3.1%-22.6%), propane (3.8%-11.3%), isobutane (8.5%-10.2%), n-butane (9.9%-13.2%), isopentane (6.1% 12.9%), n-pentane (5.1%-9.7%), propylene (6.1-11.1%) and 1-butylene (1.6%-5.4%). The chemical composition of the VOCs increases in this field monitoring was similar to that of VOCs emissions from China's refineries reported, which revealed that the ambient VOCs increases were predominantly contributed by this refinery. So, we used the ISC3 model to create the relationship coefficient gamma for each receptor of each test. In result, the monthly VOCs emissions from this refinery were calculated to be 183.5 +/- 89.0 ton in March and 538.3 +/- 281.0 ton in June. The estimate in June was greatly higher than in March, chiefly because the higher environmental temperature in summer produced more VOCs emissions from evaporation and fugitive process of the refinery. Finally, the VOCs emission factors (g VOCs/kg crude oil refined) of 0.73 +/- 0.34 (in March) and 2.15 +/- 1.12 (in June) were deduced for this refinery, being in the same order with previous direct-measurement results (1.08-2.65 g VOCs/kg crude oil refined).
机译:这项研究的目的是通过对中国北方某炼油厂的案例研究,应用逆扩散计算方法(IDM)估算复杂工业区域源中挥发性有机化合物(VOC)的排放速率。 IDM包括现场监测源周围的VOC浓度和气象参数,通过ISC3模型计算源的排放速率与环境VOC浓度之间的关系系数gamma以及从中估算实际VOC排放率来源。针对所研究的炼油厂,2014年3月和6月分别进行了10项测试和8项测试。监测显示,本底和顺风受体之间的VOC浓度差异很大,3月达到59.7 ppbv,6月达到248.6 ppbv。受体处的挥发性有机化合物增加主要包括乙烷(3.1%-22.6%),丙烷(3.8%-11.3%),异丁烷(8.5%-10.2%),正丁烷(9.9%-13.2%),异戊烷(6.1%) 12.9%),正戊烷(5.1%-9.7%),丙烯(6.1-11.1%)和1-丁烯(1.6%-5.4%)。在该现场监测中,挥发性有机化合物的化学成分增加与中国炼油厂报告的挥发性有机化合物的排放相似,这表明环境中挥发性有机化合物的增加主要是由该炼油厂造成的。因此,我们使用ISC3模型为每个测试的每个受体创建关系系数gamma。结果,该炼油厂的月度VOCs排放经计算为3月为183.5 +/- 89.0吨,6月为538.3 +/- 281.0吨。 6月份的估算大大高于3月份,主要是因为夏季较高的环境温度导致炼厂的蒸发和短程过程产生了更多的VOC排放。最后,推算出该炼油厂的VOC排放因子(g VOCs / kg精炼原油)为0.73 +/- 0.34(3月)和2.15 +/- 1.12(6月),与之前的直接排放法相同。测量结果(1.08-2.65 g VOCs / kg精制原油)。

著录项

  • 来源
    《Environmental Pollution》 |2016年第11期|681-688|共8页
  • 作者单位

    Beijing Univ Technol, Dept Environm Sci & Engn, Beijing 100124, Peoples R China|Key Lab Beijing Reg Air Pollut Control, Beijing 100124, Peoples R China;

    Beijing Univ Technol, Dept Environm Sci & Engn, Beijing 100124, Peoples R China;

    Beijing Univ Technol, Dept Environm Sci & Engn, Beijing 100124, Peoples R China;

    Beijing Univ Technol, Dept Environm Sci & Engn, Beijing 100124, Peoples R China|Key Lab Beijing Reg Air Pollut Control, Beijing 100124, Peoples R China;

    Beijing Univ Technol, Dept Environm Sci & Engn, Beijing 100124, Peoples R China;

    Hebei Univ Engn, Sch City Construct, Dept Environm Engn, Handan 056038, Hebei, 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

    VOCs; Emission rate; Inverse-dispersion calculation method; Industrial area source; Petroleum refinery;

    机译:挥发性有机化合物(VOCs);排放率;反离散计算方法;工业面积源;石油精炼厂;

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