Severe air pollution events not avoided by reduced anthropogenic activities during COVID-19 outbreak
Due to the pandemic of coronavirus disease 2019 in China, almost all avoidable activities in China are prohibited since Wuhan announced lockdown on January 23, 2020. With reduced activities, severe air pollution events still occurred in the North China Plain, causing discussions regarding why severe...
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| Vydáno v: | Resources, conservation and recycling Ročník 158; s. 104814 |
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| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Netherlands
Elsevier B.V
01.07.2020
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| Témata: | |
| ISSN: | 0921-3449, 1879-0658 |
| On-line přístup: | Získat plný text |
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| Abstract | Due to the pandemic of coronavirus disease 2019 in China, almost all avoidable activities in China are prohibited since Wuhan announced lockdown on January 23, 2020. With reduced activities, severe air pollution events still occurred in the North China Plain, causing discussions regarding why severe air pollution was not avoided. The Community Multi-scale Air Quality model was applied during January 01 to February 12, 2020 to study PM2.5 changes under emission reduction scenarios. The estimated emission reduction case (Case 3) better reproduced PM2.5. Compared with the case without emission change (Case 1), Case 3 predicted that PM2.5 concentrations decreased by up to 20% with absolute decreases of 5.35, 6.37, 9.23, 10.25, 10.30, 12.14, 12.75, 14.41, 18.00 and 30.79 μg/m3 in Guangzhou, Shanghai, Beijing, Shijiazhuang, Tianjin, Jinan, Taiyuan, Xi'an, Zhengzhou, Wuhan, respectively. In high-pollution days with PM2.5 greater than 75 μg/m3, the reductions of PM2.5 in Case 3 were 7.78, 9.51, 11.38, 13.42, 13.64, 14.15, 14.42, 16.95 and 22.08 μg/m3 in Shanghai, Jinan, Shijiazhuang, Beijing, Taiyuan, Xi'an, Tianjin, Zhengzhou and Wuhan, respectively. The reductions in emissions of PM2.5 precursors were ~2 times of that in concentrations, indicating that meteorology was unfavorable during simulation episode. A further analysis shows that benefits of emission reductions were overwhelmed by adverse meteorology and severe air pollution events were not avoided. This study highlights that large emissions reduction in transportation and slight reduction in industrial would not help avoid severe air pollution in China, especially when meteorology is unfavorable. More efforts should be made to completely avoid severe air pollution.
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| AbstractList | Due to the pandemic of coronavirus disease 2019 in China, almost all avoidable activities in China are prohibited since Wuhan announced lockdown on January 23, 2020. With reduced activities, severe air pollution events still occurred in the North China Plain, causing discussions regarding why severe air pollution was not avoided. The Community Multi-scale Air Quality model was applied during January 01 to February 12, 2020 to study PM
changes under emission reduction scenarios. The estimated emission reduction case (Case 3) better reproduced PM
. Compared with the case without emission change (Case 1), Case 3 predicted that PM
concentrations decreased by up to 20% with absolute decreases of 5.35, 6.37, 9.23, 10.25, 10.30, 12.14, 12.75, 14.41, 18.00 and 30.79 μg/m
in Guangzhou, Shanghai, Beijing, Shijiazhuang, Tianjin, Jinan, Taiyuan, Xi'an, Zhengzhou, Wuhan, respectively. In high-pollution days with PM
greater than 75 μg/m
, the reductions of PM
in Case 3 were 7.78, 9.51, 11.38, 13.42, 13.64, 14.15, 14.42, 16.95 and 22.08 μg/m
in Shanghai, Jinan, Shijiazhuang, Beijing, Taiyuan, Xi'an, Tianjin, Zhengzhou and Wuhan, respectively. The reductions in emissions of PM
precursors were ~2 times of that in concentrations, indicating that meteorology was unfavorable during simulation episode. A further analysis shows that benefits of emission reductions were overwhelmed by adverse meteorology and severe air pollution events were not avoided. This study highlights that large emissions reduction in transportation and slight reduction in industrial would not help avoid severe air pollution in China, especially when meteorology is unfavorable. More efforts should be made to completely avoid severe air pollution. Due to the pandemic of coronavirus disease 2019 in China, almost all avoidable activities in China are prohibited since Wuhan announced lockdown on January 23, 2020. With reduced activities, severe air pollution events still occurred in the North China Plain, causing discussions regarding why severe air pollution was not avoided. The Community Multi-scale Air Quality model was applied during January 01 to February 12, 2020 to study PM₂.₅ changes under emission reduction scenarios. The estimated emission reduction case (Case 3) better reproduced PM₂.₅. Compared with the case without emission change (Case 1), Case 3 predicted that PM₂.₅ concentrations decreased by up to 20% with absolute decreases of 5.35, 6.37, 9.23, 10.25, 10.30, 12.14, 12.75, 14.41, 18.00 and 30.79 μg/m³ in Guangzhou, Shanghai, Beijing, Shijiazhuang, Tianjin, Jinan, Taiyuan, Xi'an, Zhengzhou, Wuhan, respectively. In high-pollution days with PM₂.₅ greater than 75 μg/m³, the reductions of PM₂.₅ in Case 3 were 7.78, 9.51, 11.38, 13.42, 13.64, 14.15, 14.42, 16.95 and 22.08 μg/m³ in Shanghai, Jinan, Shijiazhuang, Beijing, Taiyuan, Xi'an, Tianjin, Zhengzhou and Wuhan, respectively. The reductions in emissions of PM₂.₅ precursors were ~2 times of that in concentrations, indicating that meteorology was unfavorable during simulation episode. A further analysis shows that benefits of emission reductions were overwhelmed by adverse meteorology and severe air pollution events were not avoided. This study highlights that large emissions reduction in transportation and slight reduction in industrial would not help avoid severe air pollution in China, especially when meteorology is unfavorable. More efforts should be made to completely avoid severe air pollution. Due to the pandemic of coronavirus disease 2019 in China, almost all avoidable activities in China are prohibited since Wuhan announced lockdown on January 23, 2020. With reduced activities, severe air pollution events still occurred in the North China Plain, causing discussions regarding why severe air pollution was not avoided. The Community Multi-scale Air Quality model was applied during January 01 to February 12, 2020 to study PM2.5 changes under emission reduction scenarios. The estimated emission reduction case (Case 3) better reproduced PM2.5. Compared with the case without emission change (Case 1), Case 3 predicted that PM2.5 concentrations decreased by up to 20% with absolute decreases of 5.35, 6.37, 9.23, 10.25, 10.30, 12.14, 12.75, 14.41, 18.00 and 30.79 μg/m3 in Guangzhou, Shanghai, Beijing, Shijiazhuang, Tianjin, Jinan, Taiyuan, Xi'an, Zhengzhou, Wuhan, respectively. In high-pollution days with PM2.5 greater than 75 μg/m3, the reductions of PM2.5 in Case 3 were 7.78, 9.51, 11.38, 13.42, 13.64, 14.15, 14.42, 16.95 and 22.08 μg/m3 in Shanghai, Jinan, Shijiazhuang, Beijing, Taiyuan, Xi'an, Tianjin, Zhengzhou and Wuhan, respectively. The reductions in emissions of PM2.5 precursors were ~2 times of that in concentrations, indicating that meteorology was unfavorable during simulation episode. A further analysis shows that benefits of emission reductions were overwhelmed by adverse meteorology and severe air pollution events were not avoided. This study highlights that large emissions reduction in transportation and slight reduction in industrial would not help avoid severe air pollution in China, especially when meteorology is unfavorable. More efforts should be made to completely avoid severe air pollution. Image, graphical abstract Due to the pandemic of coronavirus disease 2019 in China, almost all avoidable activities in China are prohibited since Wuhan announced lockdown on January 23, 2020. With reduced activities, severe air pollution events still occurred in the North China Plain, causing discussions regarding why severe air pollution was not avoided. The Community Multi-scale Air Quality model was applied during January 01 to February 12, 2020 to study PM2.5 changes under emission reduction scenarios. The estimated emission reduction case (Case 3) better reproduced PM2.5. Compared with the case without emission change (Case 1), Case 3 predicted that PM2.5 concentrations decreased by up to 20% with absolute decreases of 5.35, 6.37, 9.23, 10.25, 10.30, 12.14, 12.75, 14.41, 18.00 and 30.79 μg/m3 in Guangzhou, Shanghai, Beijing, Shijiazhuang, Tianjin, Jinan, Taiyuan, Xi'an, Zhengzhou, Wuhan, respectively. In high-pollution days with PM2.5 greater than 75 μg/m3, the reductions of PM2.5 in Case 3 were 7.78, 9.51, 11.38, 13.42, 13.64, 14.15, 14.42, 16.95 and 22.08 μg/m3 in Shanghai, Jinan, Shijiazhuang, Beijing, Taiyuan, Xi'an, Tianjin, Zhengzhou and Wuhan, respectively. The reductions in emissions of PM2.5 precursors were ~2 times of that in concentrations, indicating that meteorology was unfavorable during simulation episode. A further analysis shows that benefits of emission reductions were overwhelmed by adverse meteorology and severe air pollution events were not avoided. This study highlights that large emissions reduction in transportation and slight reduction in industrial would not help avoid severe air pollution in China, especially when meteorology is unfavorable. More efforts should be made to completely avoid severe air pollution.Due to the pandemic of coronavirus disease 2019 in China, almost all avoidable activities in China are prohibited since Wuhan announced lockdown on January 23, 2020. With reduced activities, severe air pollution events still occurred in the North China Plain, causing discussions regarding why severe air pollution was not avoided. The Community Multi-scale Air Quality model was applied during January 01 to February 12, 2020 to study PM2.5 changes under emission reduction scenarios. The estimated emission reduction case (Case 3) better reproduced PM2.5. Compared with the case without emission change (Case 1), Case 3 predicted that PM2.5 concentrations decreased by up to 20% with absolute decreases of 5.35, 6.37, 9.23, 10.25, 10.30, 12.14, 12.75, 14.41, 18.00 and 30.79 μg/m3 in Guangzhou, Shanghai, Beijing, Shijiazhuang, Tianjin, Jinan, Taiyuan, Xi'an, Zhengzhou, Wuhan, respectively. In high-pollution days with PM2.5 greater than 75 μg/m3, the reductions of PM2.5 in Case 3 were 7.78, 9.51, 11.38, 13.42, 13.64, 14.15, 14.42, 16.95 and 22.08 μg/m3 in Shanghai, Jinan, Shijiazhuang, Beijing, Taiyuan, Xi'an, Tianjin, Zhengzhou and Wuhan, respectively. The reductions in emissions of PM2.5 precursors were ~2 times of that in concentrations, indicating that meteorology was unfavorable during simulation episode. A further analysis shows that benefits of emission reductions were overwhelmed by adverse meteorology and severe air pollution events were not avoided. This study highlights that large emissions reduction in transportation and slight reduction in industrial would not help avoid severe air pollution in China, especially when meteorology is unfavorable. More efforts should be made to completely avoid severe air pollution. Due to the pandemic of coronavirus disease 2019 in China, almost all avoidable activities in China are prohibited since Wuhan announced lockdown on January 23, 2020. With reduced activities, severe air pollution events still occurred in the North China Plain, causing discussions regarding why severe air pollution was not avoided. The Community Multi-scale Air Quality model was applied during January 01 to February 12, 2020 to study PM2.5 changes under emission reduction scenarios. The estimated emission reduction case (Case 3) better reproduced PM2.5. Compared with the case without emission change (Case 1), Case 3 predicted that PM2.5 concentrations decreased by up to 20% with absolute decreases of 5.35, 6.37, 9.23, 10.25, 10.30, 12.14, 12.75, 14.41, 18.00 and 30.79 μg/m3 in Guangzhou, Shanghai, Beijing, Shijiazhuang, Tianjin, Jinan, Taiyuan, Xi'an, Zhengzhou, Wuhan, respectively. In high-pollution days with PM2.5 greater than 75 μg/m3, the reductions of PM2.5 in Case 3 were 7.78, 9.51, 11.38, 13.42, 13.64, 14.15, 14.42, 16.95 and 22.08 μg/m3 in Shanghai, Jinan, Shijiazhuang, Beijing, Taiyuan, Xi'an, Tianjin, Zhengzhou and Wuhan, respectively. The reductions in emissions of PM2.5 precursors were ~2 times of that in concentrations, indicating that meteorology was unfavorable during simulation episode. A further analysis shows that benefits of emission reductions were overwhelmed by adverse meteorology and severe air pollution events were not avoided. This study highlights that large emissions reduction in transportation and slight reduction in industrial would not help avoid severe air pollution in China, especially when meteorology is unfavorable. More efforts should be made to completely avoid severe air pollution. [Display omitted] |
| ArticleNumber | 104814 |
| Author | Chen, Kaiyu Zhang, Hongliang Wang, Peng Wang, Pengfei Zhu, Shengqiang |
| Author_xml | – sequence: 1 givenname: Pengfei surname: Wang fullname: Wang, Pengfei organization: Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China – sequence: 2 givenname: Kaiyu surname: Chen fullname: Chen, Kaiyu organization: Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA 70803, USA – sequence: 3 givenname: Shengqiang surname: Zhu fullname: Zhu, Shengqiang organization: Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China – sequence: 4 givenname: Peng surname: Wang fullname: Wang, Peng organization: Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong 99907, China – sequence: 5 givenname: Hongliang orcidid: 0000-0002-1797-2311 surname: Zhang fullname: Zhang, Hongliang email: zhanghl@fudan.edu.cn organization: Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32300261$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1016/j.envpol.2016.09.041 10.1016/j.scitotenv.2016.08.024 10.1016/j.envint.2014.08.016 10.1016/j.atmosenv.2009.04.060 10.1016/j.atmosres.2015.04.018 10.5194/acpd-11-21713-2011 10.1016/j.scitotenv.2018.06.137 10.1016/j.envint.2015.06.014 10.1016/j.atmosenv.2015.10.048 10.1016/j.jes.2017.03.018 10.1016/j.scitotenv.2016.11.188 10.1016/j.apr.2015.09.009 10.1080/16000889.2019.1620079 10.5194/acp-2017-428 10.1016/j.jes.2017.03.035 10.1016/j.jhazmat.2010.12.036 10.1038/484161a 10.1016/j.atmosres.2017.08.023 10.4209/aaqr.2019.08.0392 10.5194/acp-16-10333-2016 10.1016/j.scitotenv.2019.01.227 10.1016/j.scitotenv.2016.02.122 10.1016/j.jes.2015.12.033 10.1016/j.jclepro.2017.08.164 10.1016/j.atmosenv.2012.08.014 10.1016/j.atmosenv.2014.11.038 10.1016/j.envpol.2019.01.124 10.1016/j.atmosenv.2014.10.023 10.4209/aaqr.2017.04.0140 10.1016/j.jes.2019.02.031 10.1016/j.atmosenv.2018.10.001 10.1016/j.envpol.2017.07.029 10.1016/j.atmosenv.2012.12.034 10.5194/acp-15-13681-2015 10.1038/nature04092 10.5194/acp-17-31-2017 10.5194/gmd-5-1471-2012 10.1073/pnas.1907956116 10.1080/16742834.2017.1315631 10.1016/j.envpol.2019.01.056 10.5194/acp-19-5791-2019 10.5194/acp-11-2295-2011 10.1038/srep20668 10.1016/j.atmosenv.2019.05.049 10.5194/gmd-4-625-2011 10.1016/j.envpol.2013.06.043 10.1016/j.scitotenv.2017.03.231 10.1021/es2022347 10.1016/j.scitotenv.2016.07.064 10.1016/S1001-0742(13)60383-6 10.5194/acp-17-2971-2017 10.1039/C6FD00004E |
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| References | Zhang, Li, Ying, Yu, Wu, Cheng, He, Jiang (bib0064) 2012; 62 Shi, Yuan, Wu, Meng, Zhang, Zhang, Gong (bib0046) 2018; 642 Zhang, He, Huo (bib0065) 2012; 484 Xu, Sun, Chen, Du, Han, Wang, Fu, Wang, Zhao, Zhou (bib0061) 2015; 15 Richter, Burrows, Nüß, Granier, Niemeier (bib0045) 2005; 437 Zhang, Zheng, Tong, Shao, Wang, Zhang, Xu, Wang, He, Liu, Ding, Lei, Li, Wang, Zhang, Wang, Cheng, Liu, Shi, Yan, Geng, Hong, Li, Liu, Zheng, Cao, Ding, Gao, Fu, Huo, Liu, Liu, Yang, He, Hao (bib0066) 2019; 116 Yang, Ji, Kang, Zhang, Chen, Lee (bib0063) 2019; 254 (bib0013) 2007 Hubei, P. s. G. o.2020d. Notices of Wuhan coronavirus prevention and control headquarters (NO. 6). Lin, Liu, Fang, Xiao, Zeng, Li, Guo, Tian, Schootman, Stamatakis, Qian, Ma (bib0038) 2017; 220 Li, Qiao, Zhu, Shi, Wang (bib0036) 2017; 168 Chai, Gao, Chen, Wang, Zhang, Zhang, Zhang, Yun, Ren (bib0005) 2014; 26 Wei, Li, Wang, Chen, Wu, Li, Wang, Wang (bib0055) 2017; 10 Hubei, P. s. G. o.2020g. Notices of Wuhan Traffic Emergency Control. Huang, Zhang, Lin (bib0021) 2015; 164-165 Wang, Guo, Hu, Kota, Ying, Zhang (bib0052) 2019; 662 Wu, Sun, Zhang, Zhang, Wang, Zhong, Yang (bib0058) 2019; 71 CRAES2020. [Expert's Interpretation] This is a tough battle and a protracted battle—Understanding the causes of pollution during the Spring Festival. Li, Liu, Zhang, Sun, Wu, Xue, Zeng, Qu, An (bib0034) 2018; 63 Li, Liao, Hu, Li (bib0031) 2019; 248 Chen, Sun, Wu, Zhang, Zheng, Gao, Cen (bib0006) 2014; 99 Wang, Li, Peng, Zhang, Che, Zhang (bib0049) 2019; 197 Li, Zhang, Duan, Zheng, He (bib0030) 2016; 189 Li, Ma, Wang, Liu, Hong (bib0035) 2017; 198 . Zheng, Zhang, Che, Zheng, Yin (bib0070) 2009; 43 Hu, Ying, Wang, Zhang (bib0020) 2015; 84 Li, Zhang, Kurokawa, Woo, He, Lu, Ohara, Song, Streets, Carmichael (bib0033) 2017; 17 Wiedinmyer, Akagi, Yokelson, Emmons, Al-Saadi, Orlando, Soja (bib0057) 2011; 4 Hubei, P. s. G. o.2020c. Notices of Wuhan coronavirus prevention and control headquarters (NO. 5). Cai, Jiang, Chen, Jiang, Wang (bib0002) 2018; 18 Liu, Gong, He, Yu, Wang, Li, Liu, Zhang, Li, Wang (bib0039) 2017; 17 Cao, Yang, Li, Chen, Chen, Gu, Kan (bib0003) 2011; 186 Hubei, P. s. G. o.2020b. Notices of Wuhan coronavirus prevention and control headquarters (NO. 1). Chen, Zhang, Huang, Song, Zhang, Qian, Trevathan, Mao, Han, Vaughn (bib0007) 2016; 571 Sun, Wang, Wild, Xu, Chen, Fu, Du, Zhou, Zhang, Han, Wang, Pan, Zheng, Li, Guo, Liu, Worsnop (bib0047) 2016; 6 Zhao, B., W. Wu, S. Wang, J. Xing, X. Chang, K.-N. Liou, J. H. Jiang, Y. Gu, C. Jang, and J. Fu. 2017. A modeling study of the nonlinear response of fine particles to air pollutant emissions in the Beijing-Tianjin-Hebei region. Ma, Xiao, Zhang, Wang, Shao (bib0040) 2020; 20 Wang, Zhao, Xie, Hu (bib0050) 2016; 553 CCTV. 2020. [News 30 minutes] Experts interpretation: the recent heavy pollution in Beijing-Tianjin-Hebei and surrounding areas are due to emissions and low environmental capacity. Hubei, P. s. G. o.2020e. Notices of Wuhan coronavirus prevention and control headquarters (NO. 8). Han, Zhang, Zhu, Skorokhod (bib0018) 2016; 7 Zhao, Zhao, Xu, Meng, Pu, Dong, He, Shi (bib0068) 2013; 13 Guenther, Jiang, Heald, Sakulyanontvittaya, Duhl, Emmons, Wang (bib0015) 2012; 5 Li, Zhang, Zhang, Zheng, Wang, Chen, Wallington, Han, Shen, Zhang (bib0037) 2015; 123 Zhao, Nielsen, Lei, McElroy, Hao (bib0069) 2011 Xu, Chang, Qu, Yan, Wang, Fu (bib0059) 2016; 572 Hubei, P. s. G. o.2020f. Notices of Wuhan coronavirus prevention and control headquarters (NO. 9). Cheng, Wang, Jiang, Fu, Chen, Xu, Yu, Fu, Hao (bib0008) 2013; 182 Hu, Chen, Ying, Zhang (bib0019) 2016; 16 Qiao, Guo, Tang, Wang, Deng, Zhao, Hu, Ying, Zhang (bib0043) 2019; 19 Wang, Xing, Jang, Zhu, Fu, Hao (bib0053) 2011; 45 Xu, Song, Zhang, Liu, Zhang, Zhao, Liu, Tang, Yang, Wang, Wen, Pan, Fowler, Collett Jr, Erisman, Goulding, Li, Zhang (bib0060) 2017; 17 Wang, Ying, Hu, Zhang (bib0054) 2014; 73 Daily, E.2020. Spring farming is busy at villages without epidemic. Fu, Wang, Zhao, Xing, Cheng, Liu, Hao (bib0014) 2013; 70 Rahman, Luo, Khan, Ke, Thilakanayaka, Kumar (bib0044) 2019; 212 WHO. 2020. Coronavirus disease 2019 (COVID-19): situation report, 36. China, S. C. o. t. P. s. R. o.2019b. Notice of the general office of the state council on issuing the air pollution prevention and control action plan. NCEP, F.2000. National Centers for Environmental Prediction/National Weather Service/NOAA/US Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. Han, Wang, Shen, Wang, Wu, Ren, Feng (bib0017) 2016; 46 China, M. o. E. a. E. o. t. P. s. R. o.2019a. 2017 Report on the state of the ecology and environment in China. Gui, Che, Wang, Wang, Zhang, Zhao, Zheng, Sun, Zhang (bib0016) 2019; 247 Huang, K., G. Zhuang, J. S. Fu, Q. Wang, T. Liu, R. Zhang, Y. Jiang, C. Deng, Q. Fu, and N. Hsu. 2012. Typical types and formation mechanisms of haze in an Eastern Asia megacity, Shanghai. Cai, Wang, Zhao, Wang, Chang, Hao (bib0001) 2017; 580 Hubei, P. s. G. o.2020a. Notices of Wuhan coronavirus prevention and control headquarters. Wang, Cao, Li, Singh (bib0051) 2015; 102 Li, Tan, Zhang, Feng, Qu, An, Liu (bib0032) 2017; 230 Xue, Wang, Li, Tian, Nie, Wu, Zhou, Zhou (bib0062) 2018; 65 Ma, Duan, He, Qin, Tong, Geng, Liu, Li, Yang, Ye, Xu, Zhang, Ma (bib0041) 2019; 83 Wang, Cheng, Wei, Yang, Wang, Jia, Lang, Lv (bib0048) 2017; 595 Li (10.1016/j.resconrec.2020.104814_bib0035) 2017; 198 Zhang (10.1016/j.resconrec.2020.104814_bib0064) 2012; 62 Li (10.1016/j.resconrec.2020.104814_bib0032) 2017; 230 Han (10.1016/j.resconrec.2020.104814_bib0018) 2016; 7 Ma (10.1016/j.resconrec.2020.104814_bib0041) 2019; 83 Qiao (10.1016/j.resconrec.2020.104814_bib0043) 2019; 19 Huang (10.1016/j.resconrec.2020.104814_bib0021) 2015; 164-165 Lin (10.1016/j.resconrec.2020.104814_bib0038) 2017; 220 Yang (10.1016/j.resconrec.2020.104814_bib0063) 2019; 254 10.1016/j.resconrec.2020.104814_bib0012 10.1016/j.resconrec.2020.104814_bib0056 10.1016/j.resconrec.2020.104814_bib0011 10.1016/j.resconrec.2020.104814_bib0010 Wang (10.1016/j.resconrec.2020.104814_bib0048) 2017; 595 Han (10.1016/j.resconrec.2020.104814_bib0017) 2016; 46 Cai (10.1016/j.resconrec.2020.104814_bib0002) 2018; 18 Wang (10.1016/j.resconrec.2020.104814_bib0054) 2014; 73 Hu (10.1016/j.resconrec.2020.104814_bib0020) 2015; 84 Wiedinmyer (10.1016/j.resconrec.2020.104814_bib0057) 2011; 4 Li (10.1016/j.resconrec.2020.104814_bib0036) 2017; 168 Zhang (10.1016/j.resconrec.2020.104814_bib0066) 2019; 116 Chai (10.1016/j.resconrec.2020.104814_bib0005) 2014; 26 10.1016/j.resconrec.2020.104814_bib0042 Li (10.1016/j.resconrec.2020.104814_bib0030) 2016; 189 10.1016/j.resconrec.2020.104814_bib0009 Li (10.1016/j.resconrec.2020.104814_bib0034) 2018; 63 10.1016/j.resconrec.2020.104814_bib0004 Xu (10.1016/j.resconrec.2020.104814_bib0059) 2016; 572 Guenther (10.1016/j.resconrec.2020.104814_bib0015) 2012; 5 Wang (10.1016/j.resconrec.2020.104814_bib0051) 2015; 102 Chen (10.1016/j.resconrec.2020.104814_bib0006) 2014; 99 Ma (10.1016/j.resconrec.2020.104814_bib0040) 2020; 20 Xu (10.1016/j.resconrec.2020.104814_bib0060) 2017; 17 Li (10.1016/j.resconrec.2020.104814_bib0031) 2019; 248 Li (10.1016/j.resconrec.2020.104814_bib0033) 2017; 17 Wu (10.1016/j.resconrec.2020.104814_bib0058) 2019; 71 Hu (10.1016/j.resconrec.2020.104814_bib0019) 2016; 16 Liu (10.1016/j.resconrec.2020.104814_bib0039) 2017; 17 Sun (10.1016/j.resconrec.2020.104814_bib0047) 2016; 6 Zhao (10.1016/j.resconrec.2020.104814_bib0068) 2013; 13 Chen (10.1016/j.resconrec.2020.104814_bib0007) 2016; 571 Fu (10.1016/j.resconrec.2020.104814_bib0014) 2013; 70 Shi (10.1016/j.resconrec.2020.104814_bib0046) 2018; 642 Xu (10.1016/j.resconrec.2020.104814_bib0061) 2015; 15 Li (10.1016/j.resconrec.2020.104814_bib0037) 2015; 123 Zheng (10.1016/j.resconrec.2020.104814_bib0070) 2009; 43 Zhao (10.1016/j.resconrec.2020.104814_bib0069) 2011 Gui (10.1016/j.resconrec.2020.104814_bib0016) 2019; 247 Richter (10.1016/j.resconrec.2020.104814_bib0045) 2005; 437 Wang (10.1016/j.resconrec.2020.104814_bib0050) 2016; 553 Rahman (10.1016/j.resconrec.2020.104814_bib0044) 2019; 212 Cai (10.1016/j.resconrec.2020.104814_bib0001) 2017; 580 Cheng (10.1016/j.resconrec.2020.104814_bib0008) 2013; 182 Wei (10.1016/j.resconrec.2020.104814_bib0055) 2017; 10 (10.1016/j.resconrec.2020.104814_bib0013) 2007 10.1016/j.resconrec.2020.104814_bib0025 10.1016/j.resconrec.2020.104814_bib0024 Wang (10.1016/j.resconrec.2020.104814_bib0049) 2019; 197 10.1016/j.resconrec.2020.104814_bib0023 10.1016/j.resconrec.2020.104814_bib0067 10.1016/j.resconrec.2020.104814_bib0022 Xue (10.1016/j.resconrec.2020.104814_bib0062) 2018; 65 Zhang (10.1016/j.resconrec.2020.104814_bib0065) 2012; 484 Wang (10.1016/j.resconrec.2020.104814_bib0053) 2011; 45 10.1016/j.resconrec.2020.104814_bib0029 10.1016/j.resconrec.2020.104814_bib0028 Cao (10.1016/j.resconrec.2020.104814_bib0003) 2011; 186 10.1016/j.resconrec.2020.104814_bib0027 10.1016/j.resconrec.2020.104814_bib0026 Wang (10.1016/j.resconrec.2020.104814_bib0052) 2019; 662 |
| References_xml | – volume: 247 start-page: 1125 year: 2019 end-page: 1133 ident: bib0016 article-title: Satellite-derived PM2.5 concentration trends over Eastern China from 1998 to 2016: Relationships to emissions and meteorological parameters publication-title: Environ. Pollut. – reference: Hubei, P. s. G. o.2020f. Notices of Wuhan coronavirus prevention and control headquarters (NO. 9). – volume: 17 start-page: 2971 year: 2017 end-page: 2980 ident: bib0039 article-title: Attributions of meteorological and emission factors to the 2015 winter severe haze pollution episodes in China's Jing-Jin-Ji area publication-title: Atmos. Chem. Phys. – volume: 212 start-page: 290 year: 2019 end-page: 304 ident: bib0044 article-title: Influence of atmospheric PM2.5, PM10, O3, CO, NO2, SO2, and meteorological factors on the concentration of airborne pollen in Guangzhou, China publication-title: Atmos. Environ. – volume: 17 year: 2017 ident: bib0033 article-title: MIX: a mosaic Asian anthropogenic emission inventory under the international collaboration framework of the MICS-Asia and HTAP publication-title: Atmosp. Chem. Phys. (Online) – volume: 18 start-page: 969 year: 2018 end-page: 980 ident: bib0002 article-title: Weather condition dominates regional PM2.5 Pollutions in the Eastern Coastal Provinces of China during Winter publication-title: Aerosol Air Qual. Res. – volume: 116 start-page: 24463 year: 2019 end-page: 24469 ident: bib0066 article-title: Drivers of improved PM2.5 air quality in China from 2013 to 2017 publication-title: Proc Natl Acad Sci U S A – year: 2007 ident: bib0013 article-title: Guidance on the use of models and other analyses for demonstrating attainment of air quality goals for ozone, PM2. 5, and regional haze. US Environmental Protection Agency publication-title: Office Air Qual. Plan. Stand. – volume: 83 start-page: 8 year: 2019 end-page: 20 ident: bib0041 article-title: Air pollution characteristics and their relationship with emissions and meteorology in the Yangtze River Delta region during 2014-2016 publication-title: J. Environ. Sci. (China) – reference: Hubei, P. s. G. o.2020b. Notices of Wuhan coronavirus prevention and control headquarters (NO. 1). – volume: 168 start-page: 1381 year: 2017 end-page: 1388 ident: bib0036 article-title: The “APEC blue” endeavor: causal effects of air pollution regulation on air quality in China publication-title: J. Cleaner Prod. – volume: 553 start-page: 429 year: 2016 end-page: 438 ident: bib0050 article-title: "APEC blue"–The effects and implications of joint pollution prevention and control program publication-title: Sci. Total Environ. – volume: 20 start-page: 26 year: 2020 end-page: 42 ident: bib0040 article-title: Assessment of Meteorological Impact and Emergency Plan for a Heavy Haze Pollution Episode in a Core City of the North China Plain publication-title: Aerosol Air Qual. Res. – volume: 4 start-page: 625 year: 2011 ident: bib0057 article-title: The Fire INventory from NCAR (FINN): A high resolution global model to estimate the emissions from open burning publication-title: Geoscientific Model Devel. – volume: 84 start-page: 17 year: 2015 end-page: 25 ident: bib0020 article-title: Characterizing multi-pollutant air pollution in China: Comparison of three air quality indices publication-title: Environ. Int. – volume: 189 start-page: 317 year: 2016 end-page: 335 ident: bib0030 article-title: The "Parade Blue": effects of short-term emission control on aerosol chemistry publication-title: Faraday Discuss – reference: China, S. C. o. t. P. s. R. o.2019b. Notice of the general office of the state council on issuing the air pollution prevention and control action plan. – volume: 6 start-page: 20668 year: 2016 ident: bib0047 article-title: "APEC Blue": secondary aerosol reductions from emission controls in Beijing publication-title: Sci. Rep. – reference: Hubei, P. s. G. o.2020e. Notices of Wuhan coronavirus prevention and control headquarters (NO. 8). – volume: 198 start-page: 185 year: 2017 end-page: 193 ident: bib0035 article-title: Temporal and spatial analyses of particulate matter (PM 10 and PM 2.5) and its relationship with meteorological parameters over an urban city in northeast China publication-title: Atmos. Res. – volume: 62 start-page: 228 year: 2012 end-page: 242 ident: bib0064 article-title: Source apportionment of PM2.5 nitrate and sulfate in China using a source-oriented chemical transport model publication-title: Atmos. Environ. – year: 2011 ident: bib0069 article-title: Quantifying the uncertainties of a bottom-up emission inventory of anthropogenic atmospheric pollutants in China publication-title: Atmos. Chem. Phys. – volume: 484 start-page: 161 year: 2012 end-page: 162 ident: bib0065 article-title: Cleaning China's air publication-title: Nature – volume: 15 start-page: 13681 year: 2015 end-page: 13698 ident: bib0061 article-title: Aerosol composition, oxidation properties, and sources in Beijing: results from the 2014 Asia-Pacific Economic Cooperation summit study publication-title: Atmos. Chem. Phys – volume: 254 year: 2019 ident: bib0063 article-title: Spatiotemporal variations of air pollutants in western China and their relationship to meteorological factors and emission sources publication-title: Environ. Pollut. – volume: 19 start-page: 5791 year: 2019 end-page: 5803 ident: bib0043 article-title: Local and regional contributions to fine particulate matter in the 18 cities of Sichuan Basin, southwestern China publication-title: Atmos. Chem. Phys. – volume: 437 start-page: 129 year: 2005 end-page: 132 ident: bib0045 article-title: Increase in tropospheric nitrogen dioxide over China observed from space publication-title: Nature – volume: 5 start-page: 1471 year: 2012 end-page: 1492 ident: bib0015 article-title: The model of emissions of gases and aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions publication-title: Geosci. Model Develop. – volume: 230 start-page: 718 year: 2017 end-page: 729 ident: bib0032 article-title: Characteristics and source apportionment of PM2. 5 during persistent extreme haze events in Chengdu, southwest China publication-title: Environ. Pollut. – reference: China, M. o. E. a. E. o. t. P. s. R. o.2019a. 2017 Report on the state of the ecology and environment in China. – volume: 63 start-page: 236 year: 2018 end-page: 249 ident: bib0034 article-title: Characteristics and formation mechanism of regional haze episodes in the Pearl River Delta of China publication-title: J Environ Sci – volume: 186 start-page: 1594 year: 2011 end-page: 1600 ident: bib0003 article-title: Association between long-term exposure to outdoor air pollution and mortality in China: a cohort study publication-title: J. Hazard. Mater. – volume: 182 start-page: 101 year: 2013 end-page: 110 ident: bib0008 article-title: Long-term trend of haze pollution and impact of particulate matter in the Yangtze River Delta, China publication-title: Environ. Pollut. – volume: 220 start-page: 222 year: 2017 end-page: 227 ident: bib0038 article-title: Mortality benefits of vigorous air quality improvement interventions during the periods of APEC Blue and Parade Blue in Beijing, China publication-title: Environ. Pollut. – reference: NCEP, F.2000. National Centers for Environmental Prediction/National Weather Service/NOAA/US Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. – volume: 662 start-page: 297 year: 2019 end-page: 306 ident: bib0052 article-title: Responses of PM2.5 and O3 concentrations to changes of meteorology and emissions in China publication-title: Sci. Total Environ. – reference: Hubei, P. s. G. o.2020a. Notices of Wuhan coronavirus prevention and control headquarters. – reference: Hubei, P. s. G. o.2020c. Notices of Wuhan coronavirus prevention and control headquarters (NO. 5). – reference: Huang, K., G. Zhuang, J. S. Fu, Q. Wang, T. Liu, R. Zhang, Y. Jiang, C. Deng, Q. Fu, and N. Hsu. 2012. Typical types and formation mechanisms of haze in an Eastern Asia megacity, Shanghai. – reference: WHO. 2020. Coronavirus disease 2019 (COVID-19): situation report, 36. – reference: Daily, E.2020. Spring farming is busy at villages without epidemic. – reference: CRAES2020. [Expert's Interpretation] This is a tough battle and a protracted battle—Understanding the causes of pollution during the Spring Festival. – volume: 71 year: 2019 ident: bib0058 article-title: Aqueous-phase reactions occurred in the PM2.5 cumulative explosive growth during the heavy pollution episode (HPE) in 2016 Beijing wintertime publication-title: Tellus B – volume: 571 start-page: 855 year: 2016 end-page: 861 ident: bib0007 article-title: Long-term exposure to urban air pollution and lung cancer mortality: A 12-year cohort study in Northern China publication-title: Sci. Total Environ. – volume: 595 start-page: 81 year: 2017 end-page: 92 ident: bib0048 article-title: Characteristics and emission-reduction measures evaluation of PM2.5 during the two major events: APEC and Parade publication-title: Sci. Total Environ. – volume: 13 year: 2013 ident: bib0068 article-title: Analysis of a winter regional haze event and its formation mechanism in the North China Plain publication-title: Atmosph. Chem. Phys. Discuss. – reference: Hubei, P. s. G. o.2020d. Notices of Wuhan coronavirus prevention and control headquarters (NO. 6). – volume: 10 start-page: 276 year: 2017 end-page: 283 ident: bib0055 article-title: Trends of surface PM2. 5 over Beijing–Tianjin–Hebei in 2013–2015 and their causes: emission controls vs. meteorological conditions publication-title: Atmosph. Ocean. Sci. Lett. – volume: 73 start-page: 413 year: 2014 end-page: 422 ident: bib0054 article-title: Spatial and temporal variations of six criteria air pollutants in 31 provincial capital cities in China during 2013-2014 publication-title: Environ. Int. – volume: 248 start-page: 74 year: 2019 end-page: 81 ident: bib0031 article-title: Severe particulate pollution days in China during 2013-2018 and the associated typical weather patterns in Beijing-Tianjin-Hebei and the Yangtze River Delta regions publication-title: Environ. Pollut. – reference: CCTV. 2020. [News 30 minutes] Experts interpretation: the recent heavy pollution in Beijing-Tianjin-Hebei and surrounding areas are due to emissions and low environmental capacity. – volume: 197 start-page: 177 year: 2019 end-page: 189 ident: bib0049 article-title: The impacts of the meteorology features on PM2.5 levels during a severe haze episode in central-east China publication-title: Atmos. Environ. – volume: 17 start-page: 31 year: 2017 end-page: 46 ident: bib0060 article-title: Air quality improvement in a megacity: implications from 2015 Beijing Parade Blue pollution control actions publication-title: Atmos. Chem. Phys. – volume: 43 start-page: 5112 year: 2009 end-page: 5122 ident: bib0070 article-title: A highly resolved temporal and spatial air pollutant emission inventory for the Pearl River Delta region, China and its uncertainty assessment publication-title: Atmos. Environ. – volume: 70 start-page: 39 year: 2013 end-page: 50 ident: bib0014 article-title: Emission inventory of primary pollutants and chemical speciation in 2010 for the Yangtze River Delta region, China publication-title: Atmos. Environ. – volume: 102 start-page: 112 year: 2015 end-page: 121 ident: bib0051 article-title: Analysis of a severe prolonged regional haze episode in the Yangtze River Delta, China publication-title: Atmos. Environ. – reference: . – volume: 26 start-page: 75 year: 2014 end-page: 82 ident: bib0005 article-title: Spatial and temporal variation of particulate matter and gaseous pollutants in 26 cities in China publication-title: J. Environ. Sci. – volume: 99 start-page: 527 year: 2014 end-page: 535 ident: bib0006 article-title: Unit-based emission inventory and uncertainty assessment of coal-fired power plants publication-title: Atmos. Environ. – volume: 46 start-page: 134 year: 2016 end-page: 146 ident: bib0017 article-title: Spatial and temporal variation of haze in China from 1961 to 2012 publication-title: J. Environ. Sci. – volume: 572 start-page: 1138 year: 2016 end-page: 1149 ident: bib0059 article-title: The meteorological modulation on PM2.5 interannual oscillation during 2013 to 2015 in Shanghai, China publication-title: Sci. Total Environ. – volume: 16 start-page: 10333 year: 2016 end-page: 10350 ident: bib0019 article-title: One-year simulation of ozone and particulate matter in China using WRF/CMAQ modeling system publication-title: Atmos. Chem. Phys. – volume: 45 start-page: 9293 year: 2011 end-page: 9300 ident: bib0053 article-title: Impact assessment of ammonia emissions on inorganic aerosols in East China using response surface modeling technique publication-title: Environ. Sci. Technol. – volume: 164-165 start-page: 65 year: 2015 end-page: 75 ident: bib0021 article-title: The “APEC Blue” phenomenon: Regional emission control effects observed from space publication-title: Atmos. Res. – volume: 642 start-page: 1221 year: 2018 end-page: 1232 ident: bib0046 article-title: Meteorological conditions conducive to PM2.5 pollution in winter 2016/2017 in the Western Yangtze River Delta, China publication-title: Sci. Total Environ. – volume: 123 start-page: 229 year: 2015 end-page: 239 ident: bib0037 article-title: Source contributions of urban PM2. 5 in the Beijing–Tianjin–Hebei region: Changes between 2006 and 2013 and relative impacts of emissions and meteorology publication-title: Atmos. Environ. – volume: 65 start-page: 29 year: 2018 end-page: 42 ident: bib0062 article-title: Multi-dimension apportionment of clean air "parade blue" phenomenon in Beijing publication-title: J Environ Sci (China) – volume: 580 start-page: 197 year: 2017 end-page: 209 ident: bib0001 article-title: The impact of the “air pollution prevention and control action plan” on PM2. 5 concentrations in Jing-Jin-Ji region during 2012–2020 publication-title: Sci. Total Environ. – reference: Hubei, P. s. G. o.2020g. Notices of Wuhan Traffic Emergency Control. – volume: 7 start-page: 249 year: 2016 end-page: 259 ident: bib0018 article-title: Assessment of the impact of emissions reductions on air quality over North China Plain publication-title: Atmosp. Pollut. Res. – reference: Zhao, B., W. Wu, S. Wang, J. Xing, X. Chang, K.-N. Liou, J. H. Jiang, Y. Gu, C. Jang, and J. Fu. 2017. A modeling study of the nonlinear response of fine particles to air pollutant emissions in the Beijing-Tianjin-Hebei region. – volume: 220 start-page: 222 issue: Pt A year: 2017 ident: 10.1016/j.resconrec.2020.104814_bib0038 article-title: Mortality benefits of vigorous air quality improvement interventions during the periods of APEC Blue and Parade Blue in Beijing, China publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2016.09.041 – volume: 572 start-page: 1138 year: 2016 ident: 10.1016/j.resconrec.2020.104814_bib0059 article-title: The meteorological modulation on PM2.5 interannual oscillation during 2013 to 2015 in Shanghai, China publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2016.08.024 – volume: 73 start-page: 413 year: 2014 ident: 10.1016/j.resconrec.2020.104814_bib0054 article-title: Spatial and temporal variations of six criteria air pollutants in 31 provincial capital cities in China during 2013-2014 publication-title: Environ. Int. doi: 10.1016/j.envint.2014.08.016 – volume: 43 start-page: 5112 issue: 32 year: 2009 ident: 10.1016/j.resconrec.2020.104814_bib0070 article-title: A highly resolved temporal and spatial air pollutant emission inventory for the Pearl River Delta region, China and its uncertainty assessment publication-title: Atmos. Environ. doi: 10.1016/j.atmosenv.2009.04.060 – volume: 164-165 start-page: 65 year: 2015 ident: 10.1016/j.resconrec.2020.104814_bib0021 article-title: The “APEC Blue” phenomenon: Regional emission control effects observed from space publication-title: Atmos. Res. doi: 10.1016/j.atmosres.2015.04.018 – ident: 10.1016/j.resconrec.2020.104814_bib0022 doi: 10.5194/acpd-11-21713-2011 – volume: 642 start-page: 1221 year: 2018 ident: 10.1016/j.resconrec.2020.104814_bib0046 article-title: Meteorological conditions conducive to PM2.5 pollution in winter 2016/2017 in the Western Yangtze River Delta, China publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2018.06.137 – volume: 84 start-page: 17 year: 2015 ident: 10.1016/j.resconrec.2020.104814_bib0020 article-title: Characterizing multi-pollutant air pollution in China: Comparison of three air quality indices publication-title: Environ. Int. doi: 10.1016/j.envint.2015.06.014 – ident: 10.1016/j.resconrec.2020.104814_bib0011 – volume: 17 issue: 2 year: 2017 ident: 10.1016/j.resconrec.2020.104814_bib0033 article-title: MIX: a mosaic Asian anthropogenic emission inventory under the international collaboration framework of the MICS-Asia and HTAP publication-title: Atmosp. Chem. Phys. (Online) – volume: 123 start-page: 229 year: 2015 ident: 10.1016/j.resconrec.2020.104814_bib0037 article-title: Source contributions of urban PM2. 5 in the Beijing–Tianjin–Hebei region: Changes between 2006 and 2013 and relative impacts of emissions and meteorology publication-title: Atmos. Environ. doi: 10.1016/j.atmosenv.2015.10.048 – volume: 63 start-page: 236 year: 2018 ident: 10.1016/j.resconrec.2020.104814_bib0034 article-title: Characteristics and formation mechanism of regional haze episodes in the Pearl River Delta of China publication-title: J Environ Sci doi: 10.1016/j.jes.2017.03.018 – volume: 580 start-page: 197 year: 2017 ident: 10.1016/j.resconrec.2020.104814_bib0001 article-title: The impact of the “air pollution prevention and control action plan” on PM2. 5 concentrations in Jing-Jin-Ji region during 2012–2020 publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2016.11.188 – volume: 7 start-page: 249 issue: 2 year: 2016 ident: 10.1016/j.resconrec.2020.104814_bib0018 article-title: Assessment of the impact of emissions reductions on air quality over North China Plain publication-title: Atmosp. Pollut. Res. doi: 10.1016/j.apr.2015.09.009 – ident: 10.1016/j.resconrec.2020.104814_bib0027 – volume: 71 issue: 1 year: 2019 ident: 10.1016/j.resconrec.2020.104814_bib0058 article-title: Aqueous-phase reactions occurred in the PM2.5 cumulative explosive growth during the heavy pollution episode (HPE) in 2016 Beijing wintertime publication-title: Tellus B doi: 10.1080/16000889.2019.1620079 – ident: 10.1016/j.resconrec.2020.104814_bib0067 doi: 10.5194/acp-2017-428 – ident: 10.1016/j.resconrec.2020.104814_bib0004 – volume: 65 start-page: 29 year: 2018 ident: 10.1016/j.resconrec.2020.104814_bib0062 article-title: Multi-dimension apportionment of clean air "parade blue" phenomenon in Beijing publication-title: J Environ Sci (China) doi: 10.1016/j.jes.2017.03.035 – volume: 186 start-page: 1594 issue: 2-3 year: 2011 ident: 10.1016/j.resconrec.2020.104814_bib0003 article-title: Association between long-term exposure to outdoor air pollution and mortality in China: a cohort study publication-title: J. Hazard. Mater. doi: 10.1016/j.jhazmat.2010.12.036 – volume: 484 start-page: 161 issue: 7393 year: 2012 ident: 10.1016/j.resconrec.2020.104814_bib0065 article-title: Cleaning China's air publication-title: Nature doi: 10.1038/484161a – volume: 13 issue: 1 year: 2013 ident: 10.1016/j.resconrec.2020.104814_bib0068 article-title: Analysis of a winter regional haze event and its formation mechanism in the North China Plain publication-title: Atmosph. Chem. Phys. Discuss. – volume: 198 start-page: 185 year: 2017 ident: 10.1016/j.resconrec.2020.104814_bib0035 article-title: Temporal and spatial analyses of particulate matter (PM 10 and PM 2.5) and its relationship with meteorological parameters over an urban city in northeast China publication-title: Atmos. Res. doi: 10.1016/j.atmosres.2017.08.023 – year: 2007 ident: 10.1016/j.resconrec.2020.104814_bib0013 article-title: Guidance on the use of models and other analyses for demonstrating attainment of air quality goals for ozone, PM2. 5, and regional haze. US Environmental Protection Agency publication-title: Office Air Qual. Plan. Stand. – volume: 20 start-page: 26 issue: 1 year: 2020 ident: 10.1016/j.resconrec.2020.104814_bib0040 article-title: Assessment of Meteorological Impact and Emergency Plan for a Heavy Haze Pollution Episode in a Core City of the North China Plain publication-title: Aerosol Air Qual. Res. doi: 10.4209/aaqr.2019.08.0392 – ident: 10.1016/j.resconrec.2020.104814_bib0056 – volume: 16 start-page: 10333 issue: 16 year: 2016 ident: 10.1016/j.resconrec.2020.104814_bib0019 article-title: One-year simulation of ozone and particulate matter in China using WRF/CMAQ modeling system publication-title: Atmos. Chem. Phys. doi: 10.5194/acp-16-10333-2016 – ident: 10.1016/j.resconrec.2020.104814_bib0010 – volume: 662 start-page: 297 year: 2019 ident: 10.1016/j.resconrec.2020.104814_bib0052 article-title: Responses of PM2.5 and O3 concentrations to changes of meteorology and emissions in China publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2019.01.227 – volume: 553 start-page: 429 year: 2016 ident: 10.1016/j.resconrec.2020.104814_bib0050 article-title: "APEC blue"–The effects and implications of joint pollution prevention and control program publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2016.02.122 – volume: 46 start-page: 134 year: 2016 ident: 10.1016/j.resconrec.2020.104814_bib0017 article-title: Spatial and temporal variation of haze in China from 1961 to 2012 publication-title: J. Environ. Sci. doi: 10.1016/j.jes.2015.12.033 – volume: 168 start-page: 1381 year: 2017 ident: 10.1016/j.resconrec.2020.104814_bib0036 article-title: The “APEC blue” endeavor: causal effects of air pollution regulation on air quality in China publication-title: J. Cleaner Prod. doi: 10.1016/j.jclepro.2017.08.164 – volume: 254 issue: Pt A year: 2019 ident: 10.1016/j.resconrec.2020.104814_bib0063 article-title: Spatiotemporal variations of air pollutants in western China and their relationship to meteorological factors and emission sources publication-title: Environ. Pollut. – ident: 10.1016/j.resconrec.2020.104814_bib0024 – ident: 10.1016/j.resconrec.2020.104814_bib0028 – volume: 62 start-page: 228 year: 2012 ident: 10.1016/j.resconrec.2020.104814_bib0064 article-title: Source apportionment of PM2.5 nitrate and sulfate in China using a source-oriented chemical transport model publication-title: Atmos. Environ. doi: 10.1016/j.atmosenv.2012.08.014 – volume: 102 start-page: 112 year: 2015 ident: 10.1016/j.resconrec.2020.104814_bib0051 article-title: Analysis of a severe prolonged regional haze episode in the Yangtze River Delta, China publication-title: Atmos. Environ. doi: 10.1016/j.atmosenv.2014.11.038 – volume: 248 start-page: 74 year: 2019 ident: 10.1016/j.resconrec.2020.104814_bib0031 article-title: Severe particulate pollution days in China during 2013-2018 and the associated typical weather patterns in Beijing-Tianjin-Hebei and the Yangtze River Delta regions publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2019.01.124 – volume: 99 start-page: 527 year: 2014 ident: 10.1016/j.resconrec.2020.104814_bib0006 article-title: Unit-based emission inventory and uncertainty assessment of coal-fired power plants publication-title: Atmos. Environ. doi: 10.1016/j.atmosenv.2014.10.023 – volume: 18 start-page: 969 issue: 4 year: 2018 ident: 10.1016/j.resconrec.2020.104814_bib0002 article-title: Weather condition dominates regional PM2.5 Pollutions in the Eastern Coastal Provinces of China during Winter publication-title: Aerosol Air Qual. Res. doi: 10.4209/aaqr.2017.04.0140 – volume: 83 start-page: 8 year: 2019 ident: 10.1016/j.resconrec.2020.104814_bib0041 article-title: Air pollution characteristics and their relationship with emissions and meteorology in the Yangtze River Delta region during 2014-2016 publication-title: J. Environ. Sci. (China) doi: 10.1016/j.jes.2019.02.031 – volume: 197 start-page: 177 year: 2019 ident: 10.1016/j.resconrec.2020.104814_bib0049 article-title: The impacts of the meteorology features on PM2.5 levels during a severe haze episode in central-east China publication-title: Atmos. Environ. doi: 10.1016/j.atmosenv.2018.10.001 – volume: 230 start-page: 718 year: 2017 ident: 10.1016/j.resconrec.2020.104814_bib0032 article-title: Characteristics and source apportionment of PM2. 5 during persistent extreme haze events in Chengdu, southwest China publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2017.07.029 – volume: 70 start-page: 39 year: 2013 ident: 10.1016/j.resconrec.2020.104814_bib0014 article-title: Emission inventory of primary pollutants and chemical speciation in 2010 for the Yangtze River Delta region, China publication-title: Atmos. Environ. doi: 10.1016/j.atmosenv.2012.12.034 – volume: 15 start-page: 13681 issue: 23 year: 2015 ident: 10.1016/j.resconrec.2020.104814_bib0061 article-title: Aerosol composition, oxidation properties, and sources in Beijing: results from the 2014 Asia-Pacific Economic Cooperation summit study publication-title: Atmos. Chem. Phys doi: 10.5194/acp-15-13681-2015 – volume: 437 start-page: 129 issue: 7055 year: 2005 ident: 10.1016/j.resconrec.2020.104814_bib0045 article-title: Increase in tropospheric nitrogen dioxide over China observed from space publication-title: Nature doi: 10.1038/nature04092 – volume: 17 start-page: 31 issue: 1 year: 2017 ident: 10.1016/j.resconrec.2020.104814_bib0060 article-title: Air quality improvement in a megacity: implications from 2015 Beijing Parade Blue pollution control actions publication-title: Atmos. Chem. Phys. doi: 10.5194/acp-17-31-2017 – volume: 5 start-page: 1471 issue: 6 year: 2012 ident: 10.1016/j.resconrec.2020.104814_bib0015 article-title: The model of emissions of gases and aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions publication-title: Geosci. Model Develop. doi: 10.5194/gmd-5-1471-2012 – ident: 10.1016/j.resconrec.2020.104814_bib0025 – ident: 10.1016/j.resconrec.2020.104814_bib0042 – ident: 10.1016/j.resconrec.2020.104814_bib0029 – ident: 10.1016/j.resconrec.2020.104814_bib0023 – volume: 116 start-page: 24463 issue: 49 year: 2019 ident: 10.1016/j.resconrec.2020.104814_bib0066 article-title: Drivers of improved PM2.5 air quality in China from 2013 to 2017 publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.1907956116 – volume: 10 start-page: 276 issue: 4 year: 2017 ident: 10.1016/j.resconrec.2020.104814_bib0055 article-title: Trends of surface PM2. 5 over Beijing–Tianjin–Hebei in 2013–2015 and their causes: emission controls vs. meteorological conditions publication-title: Atmosph. Ocean. Sci. Lett. doi: 10.1080/16742834.2017.1315631 – volume: 247 start-page: 1125 year: 2019 ident: 10.1016/j.resconrec.2020.104814_bib0016 article-title: Satellite-derived PM2.5 concentration trends over Eastern China from 1998 to 2016: Relationships to emissions and meteorological parameters publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2019.01.056 – volume: 19 start-page: 5791 issue: 9 year: 2019 ident: 10.1016/j.resconrec.2020.104814_bib0043 article-title: Local and regional contributions to fine particulate matter in the 18 cities of Sichuan Basin, southwestern China publication-title: Atmos. Chem. Phys. doi: 10.5194/acp-19-5791-2019 – year: 2011 ident: 10.1016/j.resconrec.2020.104814_bib0069 article-title: Quantifying the uncertainties of a bottom-up emission inventory of anthropogenic atmospheric pollutants in China publication-title: Atmos. Chem. Phys. doi: 10.5194/acp-11-2295-2011 – volume: 6 start-page: 20668 year: 2016 ident: 10.1016/j.resconrec.2020.104814_bib0047 article-title: "APEC Blue": secondary aerosol reductions from emission controls in Beijing publication-title: Sci. Rep. doi: 10.1038/srep20668 – ident: 10.1016/j.resconrec.2020.104814_bib0009 – volume: 212 start-page: 290 year: 2019 ident: 10.1016/j.resconrec.2020.104814_bib0044 article-title: Influence of atmospheric PM2.5, PM10, O3, CO, NO2, SO2, and meteorological factors on the concentration of airborne pollen in Guangzhou, China publication-title: Atmos. Environ. doi: 10.1016/j.atmosenv.2019.05.049 – volume: 4 start-page: 625 issue: 3 year: 2011 ident: 10.1016/j.resconrec.2020.104814_bib0057 article-title: The Fire INventory from NCAR (FINN): A high resolution global model to estimate the emissions from open burning publication-title: Geoscientific Model Devel. doi: 10.5194/gmd-4-625-2011 – volume: 182 start-page: 101 year: 2013 ident: 10.1016/j.resconrec.2020.104814_bib0008 article-title: Long-term trend of haze pollution and impact of particulate matter in the Yangtze River Delta, China publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2013.06.043 – ident: 10.1016/j.resconrec.2020.104814_bib0012 – volume: 595 start-page: 81 year: 2017 ident: 10.1016/j.resconrec.2020.104814_bib0048 article-title: Characteristics and emission-reduction measures evaluation of PM2.5 during the two major events: APEC and Parade publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2017.03.231 – volume: 45 start-page: 9293 issue: 21 year: 2011 ident: 10.1016/j.resconrec.2020.104814_bib0053 article-title: Impact assessment of ammonia emissions on inorganic aerosols in East China using response surface modeling technique publication-title: Environ. Sci. Technol. doi: 10.1021/es2022347 – volume: 571 start-page: 855 year: 2016 ident: 10.1016/j.resconrec.2020.104814_bib0007 article-title: Long-term exposure to urban air pollution and lung cancer mortality: A 12-year cohort study in Northern China publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2016.07.064 – volume: 26 start-page: 75 issue: 1 year: 2014 ident: 10.1016/j.resconrec.2020.104814_bib0005 article-title: Spatial and temporal variation of particulate matter and gaseous pollutants in 26 cities in China publication-title: J. Environ. Sci. doi: 10.1016/S1001-0742(13)60383-6 – volume: 17 start-page: 2971 issue: 4 year: 2017 ident: 10.1016/j.resconrec.2020.104814_bib0039 article-title: Attributions of meteorological and emission factors to the 2015 winter severe haze pollution episodes in China's Jing-Jin-Ji area publication-title: Atmos. Chem. Phys. doi: 10.5194/acp-17-2971-2017 – volume: 189 start-page: 317 year: 2016 ident: 10.1016/j.resconrec.2020.104814_bib0030 article-title: The "Parade Blue": effects of short-term emission control on aerosol chemistry publication-title: Faraday Discuss doi: 10.1039/C6FD00004E – ident: 10.1016/j.resconrec.2020.104814_bib0026 |
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