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Numerical study of atmospheric particulate matters: source apportionment to characterize 3D transport and transformation of precursors and secondary pollutants.

机译：大气颗粒物的数值研究：源分配，以表征前驱物和次级污染物的3D传输和转化。

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摘要

In recent years, Mainland China, and in particular the industrial hotbed of the Pearl River Delta (PRD) has experienced an increasingly serious problem of high concentrations of airborne particulate matter. Following the tightening-up of China's air quality policies in recent years, and with especially fine particles now added to a new air quality objective, the identification of major source regions and major types of pollutants has become critically important. In this study, a source-oriented method (Particulate Source Apportionment Technology: PSAT) implemented in 3-D Comprehensive Air Quality Model (CAMx), has been applied to analyze how different emission activities impact fine particle concentration in the PRD region. By using this method, a detailed source region and emission category contribution matrix is derived for all regions within the Hong Kong/PRD region. Source appointment results shows that, in summer and spring time, emissions inside PRD region are the major fine particle sources, contribution 70.7% (11.2 mug/m3) and 52.5% (13.1 mug/m3) to the total figure. Super-regional transports are found to be significant in autumn and winter, contribution 58.5% (20.2 mug/m3) and 64.6% (27.8 mug/m3) of the total fine particles in PRD and Hong Kong region. Another important cause of high PM levels has been the transport of fine particles between cities within the PRD region, with three different regions selected for detailed analysis. Results show that mobile vehicle and industry emission are the two major sources for fine particles. Meanwhile, over the same period in Hong Kong, marine proved to be another very significant source of particle pollutant in addition to the significant impact from motor vehicle. Results show that for the Hong Kong/PRD region local reduction of mobile sources and collaboration between different areas could have succeeded in alleviating the air pollution problem.
机译：近年来，中国大陆，尤其是珠江三角洲（PRD）的工业温床，已经经历了一个日益严重的问题，即高浓度的空气传播颗粒物。近年来，随着中国空气质量政策的收紧，特别是在新的空气质量目标中加入了细颗粒物，主要来源地区和主要污染物的识别变得至关重要。在这项研究中，已采用在3-D综合空气质量模型（CAMx）中实施的面向源的方法（微粒源分配技术：PSAT）来分析不同的排放活动如何影响珠三角地区的细颗粒浓度。通过使用此方法，可以得出香港/珠三角区域内所有区域的详细源区域和排放类别贡献矩阵。污染源指定结果显示，在夏季和春季，珠三角地区的排放是主要的细颗粒物源，占总量的70.7％（11.2杯/立方米）和52.5％（13.1杯/立方米）。发现在秋季和冬季，超区域运输非常重要，分别占珠三角和香港地区细颗粒总数的58.5％（20.2杯/立方米）和64.6％（27.8杯/立方米）。高PM水平的另一个重要原因是珠三角区域内城市之间的细小颗粒运输，选择了三个不同区域进行详细分析。结果表明，移动车辆和工业排放是微粒的两个主要来源。同时，在香港同期，除了机动车带来的巨大影响之外，海洋被证明是另一种非常重要的颗粒污染物来源。结果表明，在香港/珠三角地区，减少移动源和不同地区之间的合作可以成功缓解空气污染问题。

著录项

  • 作者

    Wu, Dongwei.;

  • 作者单位

    Hong Kong University of Science and Technology (Hong Kong).;

  • 授予单位 Hong Kong University of Science and Technology (Hong Kong).;
  • 学科 Environmental engineering.;Atmospheric sciences.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 194 p.
  • 总页数 194
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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