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Mitigation of severe urban haze pollution by a precision air pollution control approach

Yu, Shaocai and Liu, Pengfei and Wang, Liqiang and Wu, Yujie and Wang, Si and Liu, Kai and Zhu, Tong and Zhang, Yuanhang and Hu, Min and Zeng, Liming and Zhang, Xiaoye and Cao, Junji and Alapaty, Kiran and Wong, David C. and Pleim, Jon and Mathur, Rohit and Rosenfeld, Daniel and Seinfeld, John H. (2018) Mitigation of severe urban haze pollution by a precision air pollution control approach. Scientific Reports, 8 . Art. No. 8151. ISSN 2045-2322. PMCID PMC5970218.

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Severe and persistent haze pollution involving fine particulate matter (PM_(2.5)) concentrations reaching unprecedentedly high levels across many cities in China poses a serious threat to human health. Although mandatory temporary cessation of most urban and surrounding emission sources is an effective, but costly, short-term measure to abate air pollution, development of long-term crisis response measures remains a challenge, especially for curbing severe urban haze events on a regular basis. Here we introduce and evaluate a novel precision air pollution control approach (PAPCA) to mitigate severe urban haze events. The approach involves combining predictions of high PM_(2.5) concentrations, with a hybrid trajectory-receptor model and a comprehensive 3-D atmospheric model, to pinpoint the origins of emissions leading to such events and to optimize emission controls. Results of the PAPCA application to five severe haze episodes in major urban areas in China suggest that this strategy has the potential to significantly mitigate severe urban haze by decreasing PM_(2.5) peak concentrations by more than 60% from above 300 μg m^(−3) to below 100 μg m^(−3), while requiring ~30% to 70% less emission controls as compared to complete emission reductions. The PAPCA strategy has the potential to tackle effectively severe urban haze pollution events with economic efficiency.

Item Type:Article
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URLURL TypeDescription CentralArticle
Yu, Shaocai0000-0001-9718-8246
Liu, Pengfei0000-0002-6714-7387
Liu, Kai0000-0002-2109-8196
Cao, Junji0000-0003-1000-7241
Rosenfeld, Daniel0000-0002-0784-7656
Seinfeld, John H.0000-0003-1344-4068
Additional Information:© The Author(s) 2018. 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 Received: 10 April 2018; Accepted: 08 May 2018; Published: 25 May 2018. Shaocai Yu, Pengfei Li and Liqiang Wang contributed equally to this work. This work was partially supported by the Department of Science and Technology of China (No. 2016YFC0202702; No. 2014BAC22B06; No. 2014BAC21B01) and National Natural Science Foundation of China (No. 21577126). This work was also 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. Part of this work was also supported by the “Zhejiang 1000 Talent Plan” and Research Center for Air Pollution and Health in Zhejiang University. The views expressed in this paper are those of the author(s) and do not necessarily represent those of the U.S. EPA. Author Contributions: S.Y., K.A. and J.H.S. initiated the project and designed the experiments; S.Y., P.L., L.W., Y.W. and J.H.S. wrote the main manuscript. S.Y., P.L., L.W., Y.W., S.W., K.L., T.Z., Y.Z., M.H., L.Z., X.Z., J.C., K.A., D.W., J.P., R.M., D.R. and J.H.S. contributed to the interpretation and to manuscript preparation. The authors declare no competing interests.
Funding AgencyGrant Number
Department of Science and Technology of China2016YFC0202702
Department of Science and Technology of China2014BAC22B06
Department of Science and Technology of China2014BAC21B01
National Natural Science Foundation of China21577126
National Natural Science Foundation of China41561144004
Israel Science FoundationUNSPECIFIED
Zhejiang UniversityUNSPECIFIED
PubMed Central ID:PMC5970218
Record Number:CaltechAUTHORS:20180525-101017448
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:86621
Deposited By: Tony Diaz
Deposited On:25 May 2018 18:00
Last Modified:11 Oct 2019 19:59

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