globalchange  > 影响、适应和脆弱性
DOI: 10.1088/1748-9326/10/11/114015
论文题名:
Satellite measurements oversee China's sulfur dioxide emission reductions from coal-fired power plants
作者: Siwen Wang; Qiang Zhang; Randall V Martin; Sajeev Philip; Fei Liu; Meng Li; Xujia Jiang; Kebin He
刊名: Environmental Research Letters
ISSN: 1748-9326
出版年: 2015
发表日期: 2015-11-09
卷: 10, 期:11
语种: 英语
英文摘要:

To evaluate the real reductions in sulfur dioxide (SO2) emissions from coal-fired power plants in China, Ozone Monitoring Instrument (OMI) remote sensing SO2 columns were used to inversely model the SO2 emission burdens surrounding 26 isolated power plants before and after the effective operation of their flue gas desulfurization (FGD) facilities. An improved two-dimensional Gaussian fitting method was developed to estimate SO2 burdens under complex background conditions, by using the accurate local background columns and the customized fitting domains for each target source. The OMI-derived SO2 burdens before effective FGD operation were correlated well with the bottom-up emission estimates (R = 0.92), showing the reliability of the OMI-derived SO2 burdens as a linear indicator of the associated source strength. OMI observations indicated that the average lag time period between installation and effective operation of FGD facilities at these 26 power plants was around 2 years, and no FGD facilities have actually operated before the year 2008. The OMI estimated average SO2 removal equivalence (56.0%) was substantially lower than the official report (74.6%) for these 26 power plants. Therefore, it has been concluded that the real reductions of SO2 emissions in China associated with the FGD facilities at coal-fired power plants were considerably diminished in the context of the current weak supervision measures.

URL: http://iopscience.iop.org/article/10.1088/1748-9326/10/11/114015
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/14367
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

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作者单位: State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, People’s Republic of China;Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada;Max-Planck-Institute for Chemistry, Mainz, Germany;Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, People’s Republic of China;Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada;Harvard-Smithsonian Center for Astrophysics, Cambridge MA, USA;Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada;State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, People’s Republic of China;State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, People’s Republic of China;Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, People’s Republic of China;State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, People’s Republic of China;Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, People’s Republic of China;State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, People’s Republic of China

Recommended Citation:
Siwen Wang,Qiang Zhang,Randall V Martin,et al. Satellite measurements oversee China's sulfur dioxide emission reductions from coal-fired power plants[J]. Environmental Research Letters,2015-01-01,10(11)
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