Literature DB >> 28160173

Effectiveness of SO2 emission control policy on power plants in the Yangtze River Delta, China-post-assessment of the 11th Five-Year Plan.

Jiani Tan1, Joshua S Fu2, Kan Huang1,3, Cheng-En Yang1, Guoshun Zhuang3, Jian Sun1.   

Abstract

Facing the air pollution problems in China, emission control strategies have been implemented within the framework of national Five-Year Plan (FYP). According to the lack of post-assessment studies in the literature, this study assessed the effectiveness of the SO2 emission control policies on power plants after the 11th FYP (2006-2010) by modeling emission control scenarios. The idealized emission control policy (the PS90 scenario with assumption of 90% SO2 emission reduction from power plants) could reduce the SO2 and SO42- concentrations by about 51 and 14%, respectively, over the Yangtze River Delta region. While the actual emission control condition (the P2010 scenario based on the actual emissions from power plants in 2010) demonstrated that the actual reduction benefits were 30% of SO2 and 9% of SO42-. On the city scale, the P2010 scenario imposed positive benefits on Shanghai, Nanjing, Nantong, and Hangzhou with SO2 reductions of about 55, 12, 30, and 21%, respectively, while an 11% increase of SO2 concentration was found in Ningbo. The number of days exceeding China's National Ambient Air Quality Standard of Class I daily SO2 concentration was estimated to be 75, 52, 7, 77, and 40 days for Shanghai, Nanjing, Nantong, Ningbo, and Hangzhou under the real SO2 control condition (P2010). The numbers could be decreased by 16, 11, 2, 21, and 11% if the control effect reaches the level of the PS90 scenario. This study serves as a scientific basis to design capable enforcement of emission control strategies in China in the future national plans.

Entities:  

Keywords:  11th Five-Year Plan; Air quality modeling; Post-assessment; SO2 emission control; WRF/CMAQ; Yangtze River Delta

Mesh:

Substances:

Year:  2017        PMID: 28160173     DOI: 10.1007/s11356-017-8412-z

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  9 in total

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2.  Air quality management in China: issues, challenges, and options.

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Journal:  J Environ Sci (China)       Date:  2012       Impact factor: 5.565

3.  Improvements in the operation of SO2 scrubbers in China's coal power plants.

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Journal:  Environ Sci Technol       Date:  2010-12-02       Impact factor: 9.028

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Authors:  R K Srivastava; W Jozewicz
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5.  Role of sectoral and multi-pollutant emission control strategies in improving atmospheric visibility in the Yangtze River Delta, China.

Authors:  Kan Huang; Joshua S Fu; Yang Gao; Xinyi Dong; Guoshun Zhuang; Yanfen Lin
Journal:  Environ Pollut       Date:  2013-10-10       Impact factor: 8.071

6.  Quantifying the air pollutants emission reduction during the 2008 Olympic games in Beijing.

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Journal:  Environ Sci Technol       Date:  2010-04-01       Impact factor: 9.028

7.  Inorganic aerosols responses to emission changes in Yangtze River Delta, China.

Authors:  Xinyi Dong; Juan Li; Joshua S Fu; Yang Gao; Kan Huang; Guoshun Zhuang
Journal:  Sci Total Environ       Date:  2014-03-12       Impact factor: 7.963

8.  Assessment of urban air quality in China using air pollution indices (APIs).

Authors:  Litao Wang; Pu Zhang; Shaobo Tan; Xiujuan Zhao; Dandan Cheng; Wei Wei; Jie Su; Xuemei Pan
Journal:  J Air Waste Manag Assoc       Date:  2013-02       Impact factor: 2.235

9.  Effectiveness of national air pollution control policies on the air quality in metropolitan areas of China.

Authors:  Shuxiao Wang; Jia Xing; Bin Zhao; Carey Jang; Jiming Hao
Journal:  J Environ Sci (China)       Date:  2014-01-01       Impact factor: 5.565

  9 in total
  1 in total

1.  Effects of air pollution control measures on air quality improvement in Guangzhou, China.

Authors:  Meifang Yu; Yun Zhu; Che-Jen Lin; Shuxiao Wang; Jia Xing; Carey Jang; Jizhang Huang; Jinying Huang; Jiangbo Jin; Lian Yu
Journal:  J Environ Manage       Date:  2019-05-20       Impact factor: 6.789

  1 in total

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