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首页> 外文期刊>The Science of the Total Environment >Decline of net SO_2 emission intensity in China's thermal power generation: Decomposition and attribution analysis
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Decline of net SO_2 emission intensity in China's thermal power generation: Decomposition and attribution analysis

机译:中国火力发电净SO_2排放强度下降:分解与归因分析

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摘要

Thermal power generation is the main electricity source of China, but also contributes the largest share of air pollutants in the country. Because of China's considerable efforts in pollution control, one measure of the most important source of air pollution net SO_2 emission intensity (NSE1) of thermal power generation has dropped significantly since 2006. Understanding the reasons behind the decline could help further explore the solution-space for deeper mitigation targets. This study combines multiplicative LMDI with attribution analysis to decompose the decline in national NSE! into four factors (i.e. SO_2 treatment or end-of-pipe approaches; SO_2 emission factor of coal and coal intensity, which both account for cleaner production measures; and geographical structure effects) for 30 regions. Our results show that end-of-pipe technologies remained the primary way to control air pollution in China. In addition, cleaner production efforts contributed to SO_2 mitigation. Attribution results at the province level show that northern provinces increased their efforts in SO_2 treatment and reducing coal intensity, while southern provinces have done more on reducing the SO_2 intensity of coal. Provinces were classified into four categories (i.e. leading regions, end-of-pipe dependent regions, process-dependent regions and lagging regions) according to their performance in terms of end-of-pipe treatment and cleaner production, to help them choose targeted policy methods.
机译:火力发电是中国的主要电力来源,但在中国的空气污染物中贡献最大。由于中国在污染控制方面做出了巨大努力,自2006年以来,一种最重要的空气污染最主要来源-火力发电的净SO_2排放强度(NSE1)的测量方法已显着下降。了解下降趋势的原因可能有助于进一步探索解决方案空间为更深层次的缓解目标。这项研究将乘数LMDI与归因分析相结合,以分解全国NSE的下降!分为30个区域的四个因素(即SO_2处理或管道末端方法; SO_2的煤排放因子和煤强度,这两个因素均反映了清洁生产措施;以及地理结构效应)。我们的结果表明,管道末端技术仍然是控制中国空气污染的主要方法。此外,清洁生产的努力有助于减少SO_2。省级归因结果显示,北部省份加大了对SO_2处理和降低煤炭强度的努力,而南部省份在降低煤炭中SO_2强度方面做得更多。根据省在管端处理和清洁生产方面的表现,将省分为四类(即领先地区,管端依赖区,过程依赖区和滞后区),以帮助他们选择目标政策方法。

著录项

  • 来源
    《The Science of the Total Environment 》 |2020年第1期| 137367.1-137367.9| 共9页
  • 作者单位

    School of Business Hohai University West Focheng Road 8 Nanjing 211100 China Department of Geographical Sciences University of Maryland College Park MD 20742 USA;

    School of Business Hohai University West Focheng Road 8 Nanjing 211100 China;

    Department of Geographical Sciences University of Maryland College Park MD 20742 USA;

    Center for Energy and Environmental Sciences (IVEM) Energy and Sustainability Research Institute Groningen (ESRIG) University of Groningen Groningen 9747 AG the Netherlands International Institute for Applied Systems Analysis Schlossplatz 1 A-2361 Laxenburg Austria;

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

    Thermal power generation; SO_2 emission intensity; LMDI; Regional attribution analysis;

    机译:火力发电;SO_2排放强度;LMDI;区域归因分析;

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