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Published January 17, 2018 | Published + Supplemental Material
Journal Article Open

Predicted impact of thermal power generation emission control measures in the Beijing-Tianjin-Hebei region on air pollution over Beijing, China

Abstract

Widespread economic growth in China has led to increasing episodes of severe air pollution, especially in major urban areas. Thermal power plants represent a particularly important class of emissions. Here we present an evaluation of the predicted effectiveness of a series of recently proposed thermal power plant emission controls in the Beijing-Tianjin-Hebei (BTH) region on air quality over Beijing using the Community Multiscale Air Quality(CMAQ) atmospheric chemical transport model to predict CO, SO_2, NO_2, PM_(2.5), and PM_(10) levels. A baseline simulation of the hypothetical removal of all thermal power plants in the BTH region is predicted to lead to 38%, 23%, 23%, 24%, and 24% reductions in current annual mean levels of CO, SO_2, NO_2, PM_(2.5), and PM_(10) in Beijing, respectively. Similar percentage reductions are predicted in the major cities in the BTH region. Simulations of the air quality impact of six proposed thermal power plant emission reduction strategies over the BTH region provide an estimate of the potential improvement in air quality in the Beijing metropolitan area, as a function of the time of year.

Additional Information

© 2018 The Author(s). Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. Received: 04 October 2017. Accepted: 02 January 2018. Published online: 17 January 2018. This work was supported in part by the Department of Science and Technology of China (Nos 2016YFC0202702; 2014BAC22B06) and the National Natural Science Foundation of China (No. 221577126). This work was supported by the Joint NSFC-ISF Research Program (No. 41561144004), jointly funded by the National Natural Science Foundation of China and the Israel Science Foundation. The work was also supported in part by the "Zhejiang 1000 Talent Plan" and Research Center for Air Pollution and Health in Zhejiang University. We also thank Dr. Hua Mo from Appraisal Center for Environment & Engineering in Ministry of Environmental Protection of China for providing the power plant emissions in the BTH region. Author Contributions: S.Y. and J.H.S. initiated the project and designed the experiments; S.Y., P.L., L.W., and J.H.S. wrote the main manuscript. S.Y., L.W., P.L., S.C., K.M., Z.L., W.L., D.R., R.C.F., and J.H.S. contributed to the interpretation and to manuscript preparation. The authors declare that they have no competing interests.

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