Research on the ozone formation sensitivity indicator of four urban agglomerations of China using Ozone Monitoring Instrument (OMI) satellite data and ground-based measurements
Near surface ozone is a typical secondary pollutant, and is mostly generated by a series of complex photochemical reactions of volatile organic compounds (VOCs) and nitrogen oxides (NOx) in the air under sunlight. At present, a large number of studies have applied FNR (a ratio of formaldehyde (HCHO)...
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Published in | The Science of the total environment Vol. 869; p. 161679 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
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Netherlands
Elsevier B.V
15.04.2023
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ISSN | 0048-9697 1879-1026 1879-1026 |
DOI | 10.1016/j.scitotenv.2023.161679 |
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Abstract | Near surface ozone is a typical secondary pollutant, and is mostly generated by a series of complex photochemical reactions of volatile organic compounds (VOCs) and nitrogen oxides (NOx) in the air under sunlight. At present, a large number of studies have applied FNR (a ratio of formaldehyde (HCHO) to nitrogen dioxide (NO2) retrieved by satellite) indicator to study the ozone formation sensitivity (OFS). OFS analysis is critical for taking targeted ozone pollution prevention and control measures. Regional OFS can be more accurately diagnosed by utilizing localized FNR threshold. In this study, localized FNR thresholds were established for four severe ozone polluted urban agglomerations in China (Beijing-Tianjin-Hebei (BTH) region, Yangtze River Delta (YRD) region, Pearl River Delta (PRD) region, and Chengdu-Chongqing (CY) region), based on the statistical analysis between FNR (obtained from OMI observation, with daily transit time of approximately 13:45 local standard time) and ΔO3/ΔNO2 (the ratio of ozone change to nitrogen dioxide change between two consecutive months, obtained from ground measurements) from 2014 to 2016. And these thresholds were verified by the statistical analysis between FNR and ΔO3/O3 (ozone change rate between two consecutive months), and between FNR and O3 concentration during the OFS significant shift months. Furthermore, the results were also compared and verified with the method proposed by previous studies. The results indicate that there are significant regional dependences in the FNR threshold, and the lower–upper limits for the four urban agglomerations are as follows: 0.65–1.21 for BTH, 0.64–1.48 for the YRD, 1.25–2.39 for the PRD, and 1.44–3.69 for CY (FNR < lower limit indicates VOCs-limited regime; lower limit < FNR < upper limit indicates transitional regime; FNR > upper limit indicates NOx-limited regime). This method eliminates the problems associated with the undifferentiated use of FNR thresholds in different regions and significantly reduces the deviations for OFS.
[Display omitted]
•Monthly variation differences of OFS were found in four urban agglomerations.•FNR threshold was determined by its statistical relationship with ΔO3/ΔNO2.•Localized FNR thresholds of four urban agglomerations were established.•Localized FNR thresholds significantly reduced the deviations with other studies. |
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AbstractList | Near surface ozone is a typical secondary pollutant, and is mostly generated by a series of complex photochemical reactions of volatile organic compounds (VOCs) and nitrogen oxides (NOx) in the air under sunlight. At present, a large number of studies have applied FNR (a ratio of formaldehyde (HCHO) to nitrogen dioxide (NO2) retrieved by satellite) indicator to study the ozone formation sensitivity (OFS). OFS analysis is critical for taking targeted ozone pollution prevention and control measures. Regional OFS can be more accurately diagnosed by utilizing localized FNR threshold. In this study, localized FNR thresholds were established for four severe ozone polluted urban agglomerations in China (Beijing-Tianjin-Hebei (BTH) region, Yangtze River Delta (YRD) region, Pearl River Delta (PRD) region, and Chengdu-Chongqing (CY) region), based on the statistical analysis between FNR (obtained from OMI observation, with daily transit time of approximately 13:45 local standard time) and ΔO3/ΔNO2 (the ratio of ozone change to nitrogen dioxide change between two consecutive months, obtained from ground measurements) from 2014 to 2016. And these thresholds were verified by the statistical analysis between FNR and ΔO3/O3 (ozone change rate between two consecutive months), and between FNR and O3 concentration during the OFS significant shift months. Furthermore, the results were also compared and verified with the method proposed by previous studies. The results indicate that there are significant regional dependences in the FNR threshold, and the lower-upper limits for the four urban agglomerations are as follows: 0.65-1.21 for BTH, 0.64-1.48 for the YRD, 1.25-2.39 for the PRD, and 1.44-3.69 for CY (FNR < lower limit indicates VOCs-limited regime; lower limit < FNR < upper limit indicates transitional regime; FNR > upper limit indicates NOx-limited regime). This method eliminates the problems associated with the undifferentiated use of FNR thresholds in different regions and significantly reduces the deviations for OFS.Near surface ozone is a typical secondary pollutant, and is mostly generated by a series of complex photochemical reactions of volatile organic compounds (VOCs) and nitrogen oxides (NOx) in the air under sunlight. At present, a large number of studies have applied FNR (a ratio of formaldehyde (HCHO) to nitrogen dioxide (NO2) retrieved by satellite) indicator to study the ozone formation sensitivity (OFS). OFS analysis is critical for taking targeted ozone pollution prevention and control measures. Regional OFS can be more accurately diagnosed by utilizing localized FNR threshold. In this study, localized FNR thresholds were established for four severe ozone polluted urban agglomerations in China (Beijing-Tianjin-Hebei (BTH) region, Yangtze River Delta (YRD) region, Pearl River Delta (PRD) region, and Chengdu-Chongqing (CY) region), based on the statistical analysis between FNR (obtained from OMI observation, with daily transit time of approximately 13:45 local standard time) and ΔO3/ΔNO2 (the ratio of ozone change to nitrogen dioxide change between two consecutive months, obtained from ground measurements) from 2014 to 2016. And these thresholds were verified by the statistical analysis between FNR and ΔO3/O3 (ozone change rate between two consecutive months), and between FNR and O3 concentration during the OFS significant shift months. Furthermore, the results were also compared and verified with the method proposed by previous studies. The results indicate that there are significant regional dependences in the FNR threshold, and the lower-upper limits for the four urban agglomerations are as follows: 0.65-1.21 for BTH, 0.64-1.48 for the YRD, 1.25-2.39 for the PRD, and 1.44-3.69 for CY (FNR < lower limit indicates VOCs-limited regime; lower limit < FNR < upper limit indicates transitional regime; FNR > upper limit indicates NOx-limited regime). This method eliminates the problems associated with the undifferentiated use of FNR thresholds in different regions and significantly reduces the deviations for OFS. Near surface ozone is a typical secondary pollutant, and is mostly generated by a series of complex photochemical reactions of volatile organic compounds (VOCs) and nitrogen oxides (NOx) in the air under sunlight. At present, a large number of studies have applied FNR (a ratio of formaldehyde (HCHO) to nitrogen dioxide (NO2) retrieved by satellite) indicator to study the ozone formation sensitivity (OFS). OFS analysis is critical for taking targeted ozone pollution prevention and control measures. Regional OFS can be more accurately diagnosed by utilizing localized FNR threshold. In this study, localized FNR thresholds were established for four severe ozone polluted urban agglomerations in China (Beijing-Tianjin-Hebei (BTH) region, Yangtze River Delta (YRD) region, Pearl River Delta (PRD) region, and Chengdu-Chongqing (CY) region), based on the statistical analysis between FNR (obtained from OMI observation, with daily transit time of approximately 13:45 local standard time) and ΔO3/ΔNO2 (the ratio of ozone change to nitrogen dioxide change between two consecutive months, obtained from ground measurements) from 2014 to 2016. And these thresholds were verified by the statistical analysis between FNR and ΔO3/O3 (ozone change rate between two consecutive months), and between FNR and O3 concentration during the OFS significant shift months. Furthermore, the results were also compared and verified with the method proposed by previous studies. The results indicate that there are significant regional dependences in the FNR threshold, and the lower–upper limits for the four urban agglomerations are as follows: 0.65–1.21 for BTH, 0.64–1.48 for the YRD, 1.25–2.39 for the PRD, and 1.44–3.69 for CY (FNR < lower limit indicates VOCs-limited regime; lower limit < FNR < upper limit indicates transitional regime; FNR > upper limit indicates NOx-limited regime). This method eliminates the problems associated with the undifferentiated use of FNR thresholds in different regions and significantly reduces the deviations for OFS. [Display omitted] •Monthly variation differences of OFS were found in four urban agglomerations.•FNR threshold was determined by its statistical relationship with ΔO3/ΔNO2.•Localized FNR thresholds of four urban agglomerations were established.•Localized FNR thresholds significantly reduced the deviations with other studies. Near surface ozone is a typical secondary pollutant, and is mostly generated by a series of complex photochemical reactions of volatile organic compounds (VOCs) and nitrogen oxides (NOₓ) in the air under sunlight. At present, a large number of studies have applied FNR (a ratio of formaldehyde (HCHO) to nitrogen dioxide (NO₂) retrieved by satellite) indicator to study the ozone formation sensitivity (OFS). OFS analysis is critical for taking targeted ozone pollution prevention and control measures. Regional OFS can be more accurately diagnosed by utilizing localized FNR threshold. In this study, localized FNR thresholds were established for four severe ozone polluted urban agglomerations in China (Beijing-Tianjin-Hebei (BTH) region, Yangtze River Delta (YRD) region, Pearl River Delta (PRD) region, and Chengdu-Chongqing (CY) region), based on the statistical analysis between FNR (obtained from OMI observation, with daily transit time of approximately 13:45 local standard time) and ΔO₃/ΔNO₂ (the ratio of ozone change to nitrogen dioxide change between two consecutive months, obtained from ground measurements) from 2014 to 2016. And these thresholds were verified by the statistical analysis between FNR and ΔO₃/O₃ (ozone change rate between two consecutive months), and between FNR and O₃ concentration during the OFS significant shift months. Furthermore, the results were also compared and verified with the method proposed by previous studies. The results indicate that there are significant regional dependences in the FNR threshold, and the lower–upper limits for the four urban agglomerations are as follows: 0.65–1.21 for BTH, 0.64–1.48 for the YRD, 1.25–2.39 for the PRD, and 1.44–3.69 for CY (FNR < lower limit indicates VOCs-limited regime; lower limit < FNR < upper limit indicates transitional regime; FNR > upper limit indicates NOₓ-limited regime). This method eliminates the problems associated with the undifferentiated use of FNR thresholds in different regions and significantly reduces the deviations for OFS. Near surface ozone is a typical secondary pollutant, and is mostly generated by a series of complex photochemical reactions of volatile organic compounds (VOCs) and nitrogen oxides (NO ) in the air under sunlight. At present, a large number of studies have applied FNR (a ratio of formaldehyde (HCHO) to nitrogen dioxide (NO ) retrieved by satellite) indicator to study the ozone formation sensitivity (OFS). OFS analysis is critical for taking targeted ozone pollution prevention and control measures. Regional OFS can be more accurately diagnosed by utilizing localized FNR threshold. In this study, localized FNR thresholds were established for four severe ozone polluted urban agglomerations in China (Beijing-Tianjin-Hebei (BTH) region, Yangtze River Delta (YRD) region, Pearl River Delta (PRD) region, and Chengdu-Chongqing (CY) region), based on the statistical analysis between FNR (obtained from OMI observation, with daily transit time of approximately 13:45 local standard time) and ΔO /ΔNO (the ratio of ozone change to nitrogen dioxide change between two consecutive months, obtained from ground measurements) from 2014 to 2016. And these thresholds were verified by the statistical analysis between FNR and ΔO /O (ozone change rate between two consecutive months), and between FNR and O concentration during the OFS significant shift months. Furthermore, the results were also compared and verified with the method proposed by previous studies. The results indicate that there are significant regional dependences in the FNR threshold, and the lower-upper limits for the four urban agglomerations are as follows: 0.65-1.21 for BTH, 0.64-1.48 for the YRD, 1.25-2.39 for the PRD, and 1.44-3.69 for CY (FNR < lower limit indicates VOCs-limited regime; lower limit < FNR < upper limit indicates transitional regime; FNR > upper limit indicates NO -limited regime). This method eliminates the problems associated with the undifferentiated use of FNR thresholds in different regions and significantly reduces the deviations for OFS. |
ArticleNumber | 161679 |
Author | Zeng, Chunling Yao, Yijuan Gao, Ping Zhang, Wei Chen, Yuping Yan, Hui Wang, Meiyuan Fan, Liya Ye, Daiqi |
Author_xml | – sequence: 1 givenname: Yuping surname: Chen fullname: Chen, Yuping organization: School of Environment and Energy, South China University of Technology, Guangzhou 510006, China – sequence: 2 givenname: Meiyuan surname: Wang fullname: Wang, Meiyuan organization: School of Environment and Energy, South China University of Technology, Guangzhou 510006, China – sequence: 3 givenname: Yijuan surname: Yao fullname: Yao, Yijuan organization: School of Environment and Energy, South China University of Technology, Guangzhou 510006, China – sequence: 4 givenname: Chunling surname: Zeng fullname: Zeng, Chunling organization: School of Environment and Energy, South China University of Technology, Guangzhou 510006, China – sequence: 5 givenname: Wei surname: Zhang fullname: Zhang, Wei organization: School of Environment and Energy, South China University of Technology, Guangzhou 510006, China – sequence: 6 givenname: Hui surname: Yan fullname: Yan, Hui organization: School of Environment and Energy, South China University of Technology, Guangzhou 510006, China – sequence: 7 givenname: Ping surname: Gao fullname: Gao, Ping organization: School of Environment and Energy, South China University of Technology, Guangzhou 510006, China – sequence: 8 givenname: Liya surname: Fan fullname: Fan, Liya email: fanly@scut.edu.cn organization: School of Environment and Energy, South China University of Technology, Guangzhou 510006, China – sequence: 9 givenname: Daiqi surname: Ye fullname: Ye, Daiqi organization: School of Environment and Energy, South China University of Technology, Guangzhou 510006, China |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/36682570$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1016/j.atmosenv.2017.08.035 10.1016/j.scitotenv.2016.09.013 10.1016/j.atmosenv.2011.03.015 10.1038/s41377-022-00722-x 10.1126/science.230.4725.566 10.1029/2000JD900572 10.1016/j.jes.2020.04.005 10.5194/acp-12-2757-2012 10.1016/j.scitotenv.2018.04.286 10.1029/2009JD013351 10.1029/2006GL027689 10.1016/j.apr.2019.05.003 10.1164/ajrccm.150.2.8049826 10.1006/enrs.1994.1021 10.5194/acp-18-14569-2018 10.1002/2015JD023250 10.1021/es8027764 10.1016/j.scitotenv.2014.04.108 10.1016/j.jenvman.2007.12.008 10.1016/j.atmosenv.2010.03.010 10.1029/92JD00503 10.1016/j.scitotenv.2022.154045 10.1007/s11356-015-5177-0 10.1016/j.atmosres.2017.06.003 10.1007/s11430-017-9104-9 10.5194/acp-15-6625-2015 10.1021/acs.est.9b07785 10.5194/acp-21-7253-2021 10.5194/acp-14-11587-2014 10.1016/j.atmosres.2018.06.012 10.1021/ie50510a045 10.1029/94JD02953 10.1029/97JD03128 10.1016/j.atmosenv.2008.03.025 |
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References | Shao, Zhang, Zeng, Tang, Zhang, Zhong, Wang (bb0130) 2009; 90 Chen, Yan, Yao, Zeng, Gao, Zhuang, Fan, Ye (bb0020) 2020; 94 An, Zou, Wang, Lin, Zhu (bb0005) 2015; 22 Liu, Hu, Zhang, Xia, Yin, Su, Wang, Xu, Zhang (bb0105) 2022; 11 Reich, Amundson (bb0120) 1985; 230 White, Etzel, Wilcox, Lloyd (bb0190) 1994; 65 Baek, Kim, Park, Kelly, Kurosu (bb0015) 2014; 490 Jiang, Guo, Wang, Cheng, Wang, Simpson, Ding, Saunders, Lam, Blake (bb0060) 2010; 115 Guo, Chen, Wang, Hu, Ying, Gao, Zhang (bb0040) 2019; 10 Shan, Li, Liu, Chen, Shi, Liu, Qiao (bb0125) 2016; 29 Dodge (bb0030) 1987 Martin, Fiore, Van Donkelaar (bb0115) 2004; 31 Su, Lu, Yu, Tan, Jiang, Li, Xie, Wu, Zeng, Zhai, Zhang (bb0140) 2018; 61 Weisel, Cody, Lioy (bb0185) 1995; 103 Zhuang, Chen, Fan, Ye (bb0225) 2019; 39 Duncan, Yoshida, Olson, Sillman, Martin, Lamsal, Hu, Pickering, Retscher, Allen, Crawford (bb0035) 2010; 44 Li, Chen, Ying, White, Jang, Wu, Gao, Hong, Shen, Azzi, Cen (bb0090) 2017; 196 Wu, Xue, Lei, Wang (bb0200) 2018; 38 Jin, Fiore, Folkert, Smedt, Valin (bb0070) 2020; 54 Wang, Ding, Gao, Wu (bb0165) 2006; 33 Wang, Zhang, Chen, Li, Dong, Sun, Pan (bb0180) 2015; 35 Yan, Li, An, Lu, Huang, Wang, Zhu, Jang, Fu (bb0210) 2016; 36 Aneja, Li (bb0010) 1992; 97 Tang, Wang, Li, Ji, Hsu, Gao (bb0155) 2012; 12 Li, Zhao, Wang, Liu, Tong, Song, Li, Wang (bb0095) 2017; 38 Sun, Liu, Palm, Vigouroux, Notholt, Hu, Jones, Wang, Su, Zhang, Shan, Tian, Xu, Mazière, Zhou, Liu (bb0145) 2018; 18 Haagen-Smit (bb0045) 1952; 44 Jin, Holloway (bb0065) 2015; 120 Chi, Liu, Xie, Fan, Wang, He, Fan, Hong, Wang, Yu, Yue, Duan, Zhang, Liu (bb0025) 2018; 213 Zhao, Wang, Zeng (bb0220) 2009; 43 Tan, Lu, Jiang, Su, Dong, Zeng, Xie, Tan, Zhang (bb0150) 2018; 636 Sillman (bb0135) 1995; 100 Linn, Shamoo, Anderson, Peng, Avol, Hackney (bb0100) 1994; 150 Xu, Huang, Nie, Chi, Xu, Zheng, Sun, Ding (bb0205) 2017; 168 Hao, Wang, Zhang, Wang, He (bb0050) 2018; 38 Leue, Wenig, Wagner, Klimm, Platt, Jähne (bb0085) 2001; 106 Wang, Huang, Pei, Zhang, Zhang, Huang, Wang (bb0175) 2016; 23 Zhang, Hu, Zhong, Wiedensohler, Liu, Andreae, Wang, Fan (bb0215) 2008; 42 Wang, van der, Ding, van Weele, Cheng (bb0170) 2021; 21 Wang, Lyu, Deng, Guo, Deng, Li, Yin, Li, Wang (bb0160) 2016; 573 Hong, Zhu, Xing, Hu, Lin, Zhang, Zhao, Liu, Su, Liu (bb0055) 2022; 827 Witte, Duncan, Douglass, Kurosu, Chance, Retscher (bb0195) 2011; 45 Lamsal, Krotkov, Celarier, Swartz, Pickering, Bucsela, Gleason, Martin, Philip, Irie, Cede, Herman, Weinheimer, Szykman, Knepp (bb0075) 2014; 14 Lamsal, Martin, van Donkelaar, Celarier, Bucsela, Boersma, Dirksen, Luo, Wang (bb0080) 2010; 115 Zou, Deng, Zhu, Gong, Wang, Li, Tan, Deng, Mai, Liu, Wang (bb0230) 2015; 15 Lu, Chang (bb0110) 1998; 103 Shao (10.1016/j.scitotenv.2023.161679_bb0130) 2009; 90 Wang (10.1016/j.scitotenv.2023.161679_bb0175) 2016; 23 Witte (10.1016/j.scitotenv.2023.161679_bb0195) 2011; 45 Su (10.1016/j.scitotenv.2023.161679_bb0140) 2018; 61 Weisel (10.1016/j.scitotenv.2023.161679_bb0185) 1995; 103 White (10.1016/j.scitotenv.2023.161679_bb0190) 1994; 65 Lu (10.1016/j.scitotenv.2023.161679_bb0110) 1998; 103 Baek (10.1016/j.scitotenv.2023.161679_bb0015) 2014; 490 Lamsal (10.1016/j.scitotenv.2023.161679_bb0075) 2014; 14 Zou (10.1016/j.scitotenv.2023.161679_bb0230) 2015; 15 Chen (10.1016/j.scitotenv.2023.161679_bb0020) 2020; 94 Tang (10.1016/j.scitotenv.2023.161679_bb0155) 2012; 12 Wang (10.1016/j.scitotenv.2023.161679_bb0160) 2016; 573 Chi (10.1016/j.scitotenv.2023.161679_bb0025) 2018; 213 Li (10.1016/j.scitotenv.2023.161679_bb0095) 2017; 38 Guo (10.1016/j.scitotenv.2023.161679_bb0040) 2019; 10 Haagen-Smit (10.1016/j.scitotenv.2023.161679_bb0045) 1952; 44 Hong (10.1016/j.scitotenv.2023.161679_bb0055) 2022; 827 Hao (10.1016/j.scitotenv.2023.161679_bb0050) 2018; 38 Wang (10.1016/j.scitotenv.2023.161679_bb0165) 2006; 33 Zhang (10.1016/j.scitotenv.2023.161679_bb0215) 2008; 42 Wu (10.1016/j.scitotenv.2023.161679_bb0200) 2018; 38 Yan (10.1016/j.scitotenv.2023.161679_bb0210) 2016; 36 Zhuang (10.1016/j.scitotenv.2023.161679_bb0225) 2019; 39 An (10.1016/j.scitotenv.2023.161679_bb0005) 2015; 22 Sillman (10.1016/j.scitotenv.2023.161679_bb0135) 1995; 100 Duncan (10.1016/j.scitotenv.2023.161679_bb0035) 2010; 44 Aneja (10.1016/j.scitotenv.2023.161679_bb0010) 1992; 97 Sun (10.1016/j.scitotenv.2023.161679_bb0145) 2018; 18 Liu (10.1016/j.scitotenv.2023.161679_bb0105) 2022; 11 Jin (10.1016/j.scitotenv.2023.161679_bb0070) 2020; 54 Jin (10.1016/j.scitotenv.2023.161679_bb0065) 2015; 120 Wang (10.1016/j.scitotenv.2023.161679_bb0170) 2021; 21 Dodge (10.1016/j.scitotenv.2023.161679_bb0030) 1987 Shan (10.1016/j.scitotenv.2023.161679_bb0125) 2016; 29 Reich (10.1016/j.scitotenv.2023.161679_bb0120) 1985; 230 Linn (10.1016/j.scitotenv.2023.161679_bb0100) 1994; 150 Wang (10.1016/j.scitotenv.2023.161679_bb0180) 2015; 35 Jiang (10.1016/j.scitotenv.2023.161679_bb0060) 2010; 115 Li (10.1016/j.scitotenv.2023.161679_bb0090) 2017; 196 Zhao (10.1016/j.scitotenv.2023.161679_bb0220) 2009; 43 Lamsal (10.1016/j.scitotenv.2023.161679_bb0080) 2010; 115 Xu (10.1016/j.scitotenv.2023.161679_bb0205) 2017; 168 Leue (10.1016/j.scitotenv.2023.161679_bb0085) 2001; 106 Martin (10.1016/j.scitotenv.2023.161679_bb0115) 2004; 31 Tan (10.1016/j.scitotenv.2023.161679_bb0150) 2018; 636 |
References_xml | – volume: 230 start-page: 566 year: 1985 end-page: 570 ident: bb0120 article-title: Ambient levels of ozone reduce net photosynthesis in tree and crop species publication-title: Science – volume: 44 start-page: 1342 year: 1952 end-page: 1346 ident: bb0045 article-title: Chemistry and physiology of Los Angeles smog publication-title: Ind. Eng. Chem. – year: 1987 ident: bb0030 article-title: Chemistry of Oxidant Formation: Implications for Designing Effective Control Strategies – volume: 36 start-page: 1383 year: 2016 end-page: 1392 ident: bb0210 article-title: Establishment and application of nonlinear response surface model of ozone in the Yangtze River Delta region during summertime publication-title: Acta Sci. Circumst. – volume: 54 start-page: 6518 year: 2020 end-page: 6529 ident: bb0070 article-title: Inferring changes in summertime surface ozone-NOx-VOC chemistry over U.S. Urban areas from two decades of satellite and ground-based observations publication-title: Environ. Sci. Technol. – volume: 827 year: 2022 ident: bb0055 article-title: Inferring vertical variability and diurnal evolution of O3 formation sensitivity based on the vertical distribution of summertime HCHO and NO2 in Guangzhou, China publication-title: Sci. Total Environ. – volume: 61 start-page: 23 year: 2018 end-page: 32 ident: bb0140 article-title: Exploration of the formation mechanism and source attribution of ambient ozone in Chongqing with an observation-based model publication-title: Sci. China Earth Sci. – volume: 120 start-page: 7229 year: 2015 end-page: 7246 ident: bb0065 article-title: Spatial and temporal variability of ozone sensitivity over China observed from the ozone monitoring instrument publication-title: J. Geophys. Res. Atmos. – volume: 29 start-page: 1128 year: 2016 end-page: 1136 ident: bb0125 article-title: Spatio-temporal distribution of ozone and its precursors over central and eastern China based on OMI data publication-title: Res. Environ. Sci. – volume: 10 start-page: 1543 year: 2019 end-page: 1552 ident: bb0040 article-title: Simulation of summer ozone and its sensitivity to emission changes in China publication-title: Atmos. Pollut. Res. – volume: 22 start-page: 19607 year: 2015 end-page: 19617 ident: bb0005 article-title: Differences in ozone photochemical characteristics between the megacity Nanjing and its suburban surroundings, Yangtze River Delta, China publication-title: Environ. Sci. Pollut. Res. – volume: 12 start-page: 2757 year: 2012 end-page: 2776 ident: bb0155 article-title: Spatial-temporal variations in surface ozone in northern China as observed during 2009–2010 and possible implications for future air quality control strategies publication-title: Atmos. Chem. Phys. – volume: 90 start-page: 512 year: 2009 end-page: 518 ident: bb0130 article-title: Ground-level ozone in the Pearl River Delta and the roles of VOC and NOx in its production publication-title: J. Environ. Manag. – volume: 636 start-page: 775 year: 2018 end-page: 786 ident: bb0150 article-title: Exploring ozone pollution in Chengdu, southwestern China: a case study from radical chemistry to O3-VOC-NOx sensitivity publication-title: Sci. Total Environ. – volume: 65 start-page: 56 year: 1994 end-page: 68 ident: bb0190 article-title: Exacerbations of childhood asthma and ozone pollution in Atlanta publication-title: Environ. Res. – volume: 196 start-page: 40 year: 2017 end-page: 52 ident: bb0090 article-title: Meteorological and chemical impacts on ozone formation: a case study in Hangzhou, China publication-title: Atmos. Res. – volume: 43 start-page: 1911 year: 2009 end-page: 1915 ident: bb0220 article-title: East China plains: a “Basin” of ozone pollution publication-title: Environ. Sci. Technol. – volume: 490 start-page: 93 year: 2014 end-page: 105 ident: bb0015 article-title: Validation of OMI HCHO data and its analysis over Asia publication-title: Sci. Total Environ. – volume: 23 start-page: 83 year: 2016 end-page: 88 ident: bb0175 article-title: Spatial-temporal variations of ground-level ozone and preliminary analysis on the sensitivity of ozone formation to precursors in Guangzhou city publication-title: Saf. Environ. Eng. – volume: 38 start-page: 3894 year: 2018 end-page: 3899 ident: bb0050 article-title: Analysis of ozone generation sensitivity in Chengdu and establishment of control strategy publication-title: Acta Sci. Circumst. – volume: 38 start-page: 4100 year: 2017 end-page: 4107 ident: bb0095 article-title: Influence factors and sensitivity of ozone formation in Langfang in the summer publication-title: Environ. Sci. – volume: 15 start-page: 6625 year: 2015 end-page: 6636 ident: bb0230 article-title: Characteristics of 1 year of observational data of VOCs, NOx and O3 at a suburban site in Guangzhou, China publication-title: Atmos. Chem. Phys. – volume: 106 start-page: 5493 year: 2001 end-page: 5505 ident: bb0085 article-title: Quantitative analysis of NOx emissions from global ozone monitoring experiment satellite image sequences publication-title: J. Geophys. Res. Atmos. – volume: 573 start-page: 1554 year: 2016 end-page: 1565 ident: bb0160 article-title: Assessment of regional air quality resulting from emission control in the Pearl River Delta region, southern China publication-title: Sci. Total Environ. – volume: 45 start-page: 3103 year: 2011 end-page: 3111 ident: bb0195 article-title: The unique OMI HCHO/NO2 feature during the 2008 Beijing olympics: implications for ozone production sensitivity publication-title: Atmos. Environ. – volume: 44 start-page: 2213 year: 2010 end-page: 2223 ident: bb0035 article-title: Application of OMI observations to a space-based indicator of NOx and VOC controls on surface ozone formation publication-title: Atmos. Environ. – volume: 35 start-page: 1529 year: 2015 end-page: 1536 ident: bb0180 article-title: Spatiotemporal characteristics of NO2 in Beijing in 2013 publication-title: Acta Sci. Circumst. – volume: 97 start-page: 9873 year: 1992 end-page: 9888 ident: bb0010 article-title: Characterization of ozone at high elevation in the eastern United States: trends, seasonal variations, and exposure publication-title: J. Geophys. Res. Atmos. – volume: 115 year: 2010 ident: bb0060 article-title: An ozone episode in the Pearl River Delta: field observation and model simulation publication-title: J. Geophys. Res. – volume: 33 year: 2006 ident: bb0165 article-title: Strong ozone production in urban plumes from Beijing, China publication-title: Geophys. Res. Lett. – volume: 42 start-page: 6157 year: 2008 end-page: 6173 ident: bb0215 article-title: Regional integrated experiments on air quality over Pearl River Delta 2004 (PRIDE-PRD2004): overview publication-title: Atmos. Environ. – volume: 213 start-page: 224 year: 2018 end-page: 235 ident: bb0025 article-title: Observations of ozone vertical profiles and corresponding precursors in the low troposphere in Beijing, China publication-title: Atmos. Res. – volume: 38 start-page: 1201 year: 2018 end-page: 1208 ident: bb0200 article-title: Sensitivity analysis of ozone in Beijing-Tianjin-Hebei (BTH) and its surrounding area using OMI satellite remote sensing data publication-title: China Environ. Sci. – volume: 103 start-page: 3453 year: 1998 end-page: 3462 ident: bb0110 article-title: On the indicator-based approach to assess ozone sensitivities and emissions features publication-title: J. Geophys. Res. Atmos. – volume: 18 start-page: 14569 year: 2018 end-page: 14583 ident: bb0145 article-title: Ozone seasonal evolution and photochemical production regime in the polluted troposphere in eastern China derived from high-resolution fourier transform spectrometry (FTS) observations publication-title: Atmos. Chem. Phys. – volume: 168 start-page: 112 year: 2017 end-page: 124 ident: bb0205 article-title: Influence of synoptic condition and holiday effects on VOCs and ozone production in the Yangtze River Delta region, China publication-title: Atmos. Environ. – volume: 150 start-page: 431 year: 1994 end-page: 440 ident: bb0100 article-title: Effects of prolonged, repeated exposure to ozone, sulfuric acid, and their combination in healthy and asthmatic volunteers publication-title: Am. J. Respir. Crit. Care Med. – volume: 31 year: 2004 ident: bb0115 article-title: Space-based diagnosis of surface ozone sensitivity to anthropogenic emissions publication-title: Geophys. Res. Lett. – volume: 100 start-page: 14175 year: 1995 end-page: 14188 ident: bb0135 article-title: The use of NOy, H2O2, and HNO3 as indicators for ozone-NOx-hydrocarbon sensitivity in urban locations publication-title: J. Geophys. Res. – volume: 21 start-page: 7253 year: 2021 end-page: 7269 ident: bb0170 article-title: Spatial and temporal changes of the ozone sensitivity in China based on satellite and ground-based observations publication-title: Atmos. Chem. Phys. – volume: 94 start-page: 1 year: 2020 end-page: 13 ident: bb0020 article-title: Relationships of ozone formation sensitivity with precursors emissions, meteorology and land use types, in Guangdong-Hong Kong-Macao Greater Bay Area, China publication-title: J. Environ. Sci. – volume: 115 year: 2010 ident: bb0080 article-title: Indirect validation of tropospheric nitrogen dioxide retrieved from the OMI satellite instrument: insight into the seasonal variation of nitrogen oxides at northern midlatitudes publication-title: J. Geophys. Res. – volume: 14 start-page: 11587 year: 2014 end-page: 11609 ident: bb0075 article-title: Evaluation of OMI operational standard NO2 column retrievals using in situ and surface-based NO2 observations publication-title: Atmos. Chem. Phys. – volume: 39 start-page: 3581 year: 2019 end-page: 3592 ident: bb0225 article-title: Study on the ozone formation sensitivity in the Pearl River Delta based on OMI satellite data and MODIS land cover type products publication-title: Acta Sci. Circumst. – volume: 11 year: 2022 ident: bb0105 article-title: First chinese ultraviolet-visible hyperspectral satellite instrument implicating global air quality during the COVID-19 pandemic in early 2020 publication-title: Light-Sci. Appl. – volume: 103 start-page: 97 year: 1995 end-page: 102 ident: bb0185 article-title: Relationship between summertime ambient ozone levels and emergency department visits for asthma in Central New Jersey publication-title: Environ. Health Perspect. – volume: 168 start-page: 112 year: 2017 ident: 10.1016/j.scitotenv.2023.161679_bb0205 article-title: Influence of synoptic condition and holiday effects on VOCs and ozone production in the Yangtze River Delta region, China publication-title: Atmos. Environ. doi: 10.1016/j.atmosenv.2017.08.035 – volume: 573 start-page: 1554 issue: 2016 year: 2016 ident: 10.1016/j.scitotenv.2023.161679_bb0160 article-title: Assessment of regional air quality resulting from emission control in the Pearl River Delta region, southern China publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2016.09.013 – volume: 29 start-page: 1128 issue: 08 year: 2016 ident: 10.1016/j.scitotenv.2023.161679_bb0125 article-title: Spatio-temporal distribution of ozone and its precursors over central and eastern China based on OMI data publication-title: Res. Environ. Sci. – volume: 36 start-page: 1383 issue: 04 year: 2016 ident: 10.1016/j.scitotenv.2023.161679_bb0210 article-title: Establishment and application of nonlinear response surface model of ozone in the Yangtze River Delta region during summertime publication-title: Acta Sci. Circumst. – volume: 45 start-page: 3103 issue: 18 year: 2011 ident: 10.1016/j.scitotenv.2023.161679_bb0195 article-title: The unique OMI HCHO/NO2 feature during the 2008 Beijing olympics: implications for ozone production sensitivity publication-title: Atmos. Environ. doi: 10.1016/j.atmosenv.2011.03.015 – volume: 11 issue: 1 year: 2022 ident: 10.1016/j.scitotenv.2023.161679_bb0105 article-title: First chinese ultraviolet-visible hyperspectral satellite instrument implicating global air quality during the COVID-19 pandemic in early 2020 publication-title: Light-Sci. Appl. doi: 10.1038/s41377-022-00722-x – volume: 230 start-page: 566 issue: 4725 year: 1985 ident: 10.1016/j.scitotenv.2023.161679_bb0120 article-title: Ambient levels of ozone reduce net photosynthesis in tree and crop species publication-title: Science doi: 10.1126/science.230.4725.566 – volume: 106 start-page: 5493 issue: D6 year: 2001 ident: 10.1016/j.scitotenv.2023.161679_bb0085 article-title: Quantitative analysis of NOx emissions from global ozone monitoring experiment satellite image sequences publication-title: J. Geophys. Res. Atmos. doi: 10.1029/2000JD900572 – volume: 94 start-page: 1 year: 2020 ident: 10.1016/j.scitotenv.2023.161679_bb0020 article-title: Relationships of ozone formation sensitivity with precursors emissions, meteorology and land use types, in Guangdong-Hong Kong-Macao Greater Bay Area, China publication-title: J. Environ. Sci. doi: 10.1016/j.jes.2020.04.005 – volume: 31 issue: L06120 year: 2004 ident: 10.1016/j.scitotenv.2023.161679_bb0115 article-title: Space-based diagnosis of surface ozone sensitivity to anthropogenic emissions publication-title: Geophys. Res. Lett. – volume: 12 start-page: 2757 issue: 5 year: 2012 ident: 10.1016/j.scitotenv.2023.161679_bb0155 article-title: Spatial-temporal variations in surface ozone in northern China as observed during 2009–2010 and possible implications for future air quality control strategies publication-title: Atmos. Chem. Phys. doi: 10.5194/acp-12-2757-2012 – volume: 38 start-page: 4100 issue: 10 year: 2017 ident: 10.1016/j.scitotenv.2023.161679_bb0095 article-title: Influence factors and sensitivity of ozone formation in Langfang in the summer publication-title: Environ. Sci. – volume: 636 start-page: 775 year: 2018 ident: 10.1016/j.scitotenv.2023.161679_bb0150 article-title: Exploring ozone pollution in Chengdu, southwestern China: a case study from radical chemistry to O3-VOC-NOx sensitivity publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2018.04.286 – volume: 115 year: 2010 ident: 10.1016/j.scitotenv.2023.161679_bb0080 article-title: Indirect validation of tropospheric nitrogen dioxide retrieved from the OMI satellite instrument: insight into the seasonal variation of nitrogen oxides at northern midlatitudes publication-title: J. Geophys. Res. doi: 10.1029/2009JD013351 – volume: 33 issue: 21 year: 2006 ident: 10.1016/j.scitotenv.2023.161679_bb0165 article-title: Strong ozone production in urban plumes from Beijing, China publication-title: Geophys. Res. Lett. doi: 10.1029/2006GL027689 – volume: 10 start-page: 1543 issue: 5 year: 2019 ident: 10.1016/j.scitotenv.2023.161679_bb0040 article-title: Simulation of summer ozone and its sensitivity to emission changes in China publication-title: Atmos. Pollut. Res. doi: 10.1016/j.apr.2019.05.003 – volume: 115 issue: D22305 year: 2010 ident: 10.1016/j.scitotenv.2023.161679_bb0060 article-title: An ozone episode in the Pearl River Delta: field observation and model simulation publication-title: J. Geophys. Res. – volume: 150 start-page: 431 issue: 2 year: 1994 ident: 10.1016/j.scitotenv.2023.161679_bb0100 article-title: Effects of prolonged, repeated exposure to ozone, sulfuric acid, and their combination in healthy and asthmatic volunteers publication-title: Am. J. Respir. Crit. Care Med. doi: 10.1164/ajrccm.150.2.8049826 – volume: 65 start-page: 56 issue: 1 year: 1994 ident: 10.1016/j.scitotenv.2023.161679_bb0190 article-title: Exacerbations of childhood asthma and ozone pollution in Atlanta publication-title: Environ. Res. doi: 10.1006/enrs.1994.1021 – volume: 18 start-page: 14569 issue: 19 year: 2018 ident: 10.1016/j.scitotenv.2023.161679_bb0145 article-title: Ozone seasonal evolution and photochemical production regime in the polluted troposphere in eastern China derived from high-resolution fourier transform spectrometry (FTS) observations publication-title: Atmos. Chem. Phys. doi: 10.5194/acp-18-14569-2018 – volume: 120 start-page: 7229 issue: 14 year: 2015 ident: 10.1016/j.scitotenv.2023.161679_bb0065 article-title: Spatial and temporal variability of ozone sensitivity over China observed from the ozone monitoring instrument publication-title: J. Geophys. Res. Atmos. doi: 10.1002/2015JD023250 – volume: 43 start-page: 1911 issue: 6 year: 2009 ident: 10.1016/j.scitotenv.2023.161679_bb0220 article-title: East China plains: a “Basin” of ozone pollution publication-title: Environ. Sci. Technol. doi: 10.1021/es8027764 – volume: 490 start-page: 93 year: 2014 ident: 10.1016/j.scitotenv.2023.161679_bb0015 article-title: Validation of OMI HCHO data and its analysis over Asia publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2014.04.108 – volume: 90 start-page: 512 issue: 1 year: 2009 ident: 10.1016/j.scitotenv.2023.161679_bb0130 article-title: Ground-level ozone in the Pearl River Delta and the roles of VOC and NOx in its production publication-title: J. Environ. Manag. doi: 10.1016/j.jenvman.2007.12.008 – volume: 44 start-page: 2213 issue: 18 year: 2010 ident: 10.1016/j.scitotenv.2023.161679_bb0035 article-title: Application of OMI observations to a space-based indicator of NOx and VOC controls on surface ozone formation publication-title: Atmos. Environ. doi: 10.1016/j.atmosenv.2010.03.010 – volume: 38 start-page: 1201 issue: 04 year: 2018 ident: 10.1016/j.scitotenv.2023.161679_bb0200 article-title: Sensitivity analysis of ozone in Beijing-Tianjin-Hebei (BTH) and its surrounding area using OMI satellite remote sensing data publication-title: China Environ. Sci. – volume: 97 start-page: 9873 issue: D9 year: 1992 ident: 10.1016/j.scitotenv.2023.161679_bb0010 article-title: Characterization of ozone at high elevation in the eastern United States: trends, seasonal variations, and exposure publication-title: J. Geophys. Res. Atmos. doi: 10.1029/92JD00503 – volume: 35 start-page: 1529 issue: 5 year: 2015 ident: 10.1016/j.scitotenv.2023.161679_bb0180 article-title: Spatiotemporal characteristics of NO2 in Beijing in 2013 publication-title: Acta Sci. Circumst. – year: 1987 ident: 10.1016/j.scitotenv.2023.161679_bb0030 – volume: 827 year: 2022 ident: 10.1016/j.scitotenv.2023.161679_bb0055 article-title: Inferring vertical variability and diurnal evolution of O3 formation sensitivity based on the vertical distribution of summertime HCHO and NO2 in Guangzhou, China publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2022.154045 – volume: 22 start-page: 19607 issue: 24 year: 2015 ident: 10.1016/j.scitotenv.2023.161679_bb0005 article-title: Differences in ozone photochemical characteristics between the megacity Nanjing and its suburban surroundings, Yangtze River Delta, China publication-title: Environ. Sci. Pollut. Res. doi: 10.1007/s11356-015-5177-0 – volume: 23 start-page: 83 issue: 03 year: 2016 ident: 10.1016/j.scitotenv.2023.161679_bb0175 article-title: Spatial-temporal variations of ground-level ozone and preliminary analysis on the sensitivity of ozone formation to precursors in Guangzhou city publication-title: Saf. Environ. Eng. – volume: 38 start-page: 3894 issue: 10 year: 2018 ident: 10.1016/j.scitotenv.2023.161679_bb0050 article-title: Analysis of ozone generation sensitivity in Chengdu and establishment of control strategy publication-title: Acta Sci. Circumst. – volume: 103 start-page: 97 issue: Suppl. 2 year: 1995 ident: 10.1016/j.scitotenv.2023.161679_bb0185 article-title: Relationship between summertime ambient ozone levels and emergency department visits for asthma in Central New Jersey publication-title: Environ. Health Perspect. – volume: 196 start-page: 40 year: 2017 ident: 10.1016/j.scitotenv.2023.161679_bb0090 article-title: Meteorological and chemical impacts on ozone formation: a case study in Hangzhou, China publication-title: Atmos. Res. doi: 10.1016/j.atmosres.2017.06.003 – volume: 61 start-page: 23 year: 2018 ident: 10.1016/j.scitotenv.2023.161679_bb0140 article-title: Exploration of the formation mechanism and source attribution of ambient ozone in Chongqing with an observation-based model publication-title: Sci. China Earth Sci. doi: 10.1007/s11430-017-9104-9 – volume: 15 start-page: 6625 year: 2015 ident: 10.1016/j.scitotenv.2023.161679_bb0230 article-title: Characteristics of 1 year of observational data of VOCs, NOx and O3 at a suburban site in Guangzhou, China publication-title: Atmos. Chem. Phys. doi: 10.5194/acp-15-6625-2015 – volume: 54 start-page: 6518 issue: 11 year: 2020 ident: 10.1016/j.scitotenv.2023.161679_bb0070 article-title: Inferring changes in summertime surface ozone-NOx-VOC chemistry over U.S. Urban areas from two decades of satellite and ground-based observations publication-title: Environ. Sci. Technol. doi: 10.1021/acs.est.9b07785 – volume: 21 start-page: 7253 year: 2021 ident: 10.1016/j.scitotenv.2023.161679_bb0170 article-title: Spatial and temporal changes of the ozone sensitivity in China based on satellite and ground-based observations publication-title: Atmos. Chem. Phys. doi: 10.5194/acp-21-7253-2021 – volume: 14 start-page: 11587 issue: 21 year: 2014 ident: 10.1016/j.scitotenv.2023.161679_bb0075 article-title: Evaluation of OMI operational standard NO2 column retrievals using in situ and surface-based NO2 observations publication-title: Atmos. Chem. Phys. doi: 10.5194/acp-14-11587-2014 – volume: 213 start-page: 224 year: 2018 ident: 10.1016/j.scitotenv.2023.161679_bb0025 article-title: Observations of ozone vertical profiles and corresponding precursors in the low troposphere in Beijing, China publication-title: Atmos. Res. doi: 10.1016/j.atmosres.2018.06.012 – volume: 44 start-page: 1342 year: 1952 ident: 10.1016/j.scitotenv.2023.161679_bb0045 article-title: Chemistry and physiology of Los Angeles smog publication-title: Ind. Eng. Chem. doi: 10.1021/ie50510a045 – volume: 100 start-page: 14175 issue: D7 year: 1995 ident: 10.1016/j.scitotenv.2023.161679_bb0135 article-title: The use of NOy, H2O2, and HNO3 as indicators for ozone-NOx-hydrocarbon sensitivity in urban locations publication-title: J. Geophys. Res. doi: 10.1029/94JD02953 – volume: 39 start-page: 3581 issue: 11 year: 2019 ident: 10.1016/j.scitotenv.2023.161679_bb0225 article-title: Study on the ozone formation sensitivity in the Pearl River Delta based on OMI satellite data and MODIS land cover type products publication-title: Acta Sci. Circumst. – volume: 103 start-page: 3453 year: 1998 ident: 10.1016/j.scitotenv.2023.161679_bb0110 article-title: On the indicator-based approach to assess ozone sensitivities and emissions features publication-title: J. Geophys. Res. Atmos. doi: 10.1029/97JD03128 – volume: 42 start-page: 6157 issue: 25 year: 2008 ident: 10.1016/j.scitotenv.2023.161679_bb0215 article-title: Regional integrated experiments on air quality over Pearl River Delta 2004 (PRIDE-PRD2004): overview publication-title: Atmos. Environ. doi: 10.1016/j.atmosenv.2008.03.025 |
SSID | ssj0000781 |
Score | 2.5053961 |
Snippet | Near surface ozone is a typical secondary pollutant, and is mostly generated by a series of complex photochemical reactions of volatile organic compounds... |
SourceID | proquest pubmed crossref elsevier |
SourceType | Aggregation Database Index Database Enrichment Source Publisher |
StartPage | 161679 |
SubjectTerms | air China environment FNR threshold formaldehyde nitrogen nitrogen dioxide OMI ozone Ozone formation sensitivity photochemistry pollution control remote sensing river deltas rivers satellites secondary pollutants solar radiation statistical analysis Urban agglomerations volatile organic compounds Yangtze River |
Title | Research on the ozone formation sensitivity indicator of four urban agglomerations of China using Ozone Monitoring Instrument (OMI) satellite data and ground-based measurements |
URI | https://dx.doi.org/10.1016/j.scitotenv.2023.161679 https://www.ncbi.nlm.nih.gov/pubmed/36682570 https://www.proquest.com/docview/2768817632 https://www.proquest.com/docview/2834220084 |
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