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A New Index Developed for Fast Diagnosis of Meteorological Roles in Ground-Level Ozone Variations
China experienced worsening ground-level ozone (O(3)) pollution from 2013 to 2019. In this study, meteorological parameters, including surface temperature (T(2)), solar radiation (SW), and wind speed (WS), were classified into two aspects, (1) Photochemical Reaction Condition (PRC = T(2) × SW) and (...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Science Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8773386/ https://www.ncbi.nlm.nih.gov/pubmed/35079193 http://dx.doi.org/10.1007/s00376-021-1257-x |
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author | Chen, Weihua Wang, Weiwen Jia, Shiguo Mao, Jingying Yan, Fenghua Zheng, Lianming Wu, Yongkang Zhang, Xingteng Dong, Yutong Kong, Lingbin Zhong, Buqing Chang, Ming Shao, Min Wang, Xuemei |
author_facet | Chen, Weihua Wang, Weiwen Jia, Shiguo Mao, Jingying Yan, Fenghua Zheng, Lianming Wu, Yongkang Zhang, Xingteng Dong, Yutong Kong, Lingbin Zhong, Buqing Chang, Ming Shao, Min Wang, Xuemei |
author_sort | Chen, Weihua |
collection | PubMed |
description | China experienced worsening ground-level ozone (O(3)) pollution from 2013 to 2019. In this study, meteorological parameters, including surface temperature (T(2)), solar radiation (SW), and wind speed (WS), were classified into two aspects, (1) Photochemical Reaction Condition (PRC = T(2) × SW) and (2) Physical Dispersion Capacity (PDC = WS). In this way, a Meteorology Synthetic Index (MSI = PRC/PDC) was developed for the quantification of meteorology-induced ground-level O(3) pollution. The positive linear relationship between the 90th percentile of MDA8 (maximum daily 8-h average) O(3) concentration and MSI determined that the contribution of meteorological changes to ground-level O(−3) varied on a latitudinal gradient, decreasing from ∼40% in southern China to 10%–20% in northern China. Favorable photochemical reaction conditions were more important for ground-level O(3) pollution. This study proposes a universally applicable index for fast diagnosis of meteorological roles in ground-level O(3) variability, which enables the assessment of the observed effects of precursor emissions reductions that can be used for designing future control policies. ELECTRONIC SUPPLEMENTARY MATERIAL: Supplementary material is available in the online version of this article at 10.1007/s00376-021-1257-x. |
format | Online Article Text |
id | pubmed-8773386 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Science Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-87733862022-01-21 A New Index Developed for Fast Diagnosis of Meteorological Roles in Ground-Level Ozone Variations Chen, Weihua Wang, Weiwen Jia, Shiguo Mao, Jingying Yan, Fenghua Zheng, Lianming Wu, Yongkang Zhang, Xingteng Dong, Yutong Kong, Lingbin Zhong, Buqing Chang, Ming Shao, Min Wang, Xuemei Adv Atmos Sci Original Paper China experienced worsening ground-level ozone (O(3)) pollution from 2013 to 2019. In this study, meteorological parameters, including surface temperature (T(2)), solar radiation (SW), and wind speed (WS), were classified into two aspects, (1) Photochemical Reaction Condition (PRC = T(2) × SW) and (2) Physical Dispersion Capacity (PDC = WS). In this way, a Meteorology Synthetic Index (MSI = PRC/PDC) was developed for the quantification of meteorology-induced ground-level O(3) pollution. The positive linear relationship between the 90th percentile of MDA8 (maximum daily 8-h average) O(3) concentration and MSI determined that the contribution of meteorological changes to ground-level O(−3) varied on a latitudinal gradient, decreasing from ∼40% in southern China to 10%–20% in northern China. Favorable photochemical reaction conditions were more important for ground-level O(3) pollution. This study proposes a universally applicable index for fast diagnosis of meteorological roles in ground-level O(3) variability, which enables the assessment of the observed effects of precursor emissions reductions that can be used for designing future control policies. ELECTRONIC SUPPLEMENTARY MATERIAL: Supplementary material is available in the online version of this article at 10.1007/s00376-021-1257-x. Science Press 2022-01-20 2022 /pmc/articles/PMC8773386/ /pubmed/35079193 http://dx.doi.org/10.1007/s00376-021-1257-x Text en © Institute of Atmospheric Physics/Chinese Academy of Sciences, and Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Chen, Weihua Wang, Weiwen Jia, Shiguo Mao, Jingying Yan, Fenghua Zheng, Lianming Wu, Yongkang Zhang, Xingteng Dong, Yutong Kong, Lingbin Zhong, Buqing Chang, Ming Shao, Min Wang, Xuemei A New Index Developed for Fast Diagnosis of Meteorological Roles in Ground-Level Ozone Variations |
title | A New Index Developed for Fast Diagnosis of Meteorological Roles in Ground-Level Ozone Variations |
title_full | A New Index Developed for Fast Diagnosis of Meteorological Roles in Ground-Level Ozone Variations |
title_fullStr | A New Index Developed for Fast Diagnosis of Meteorological Roles in Ground-Level Ozone Variations |
title_full_unstemmed | A New Index Developed for Fast Diagnosis of Meteorological Roles in Ground-Level Ozone Variations |
title_short | A New Index Developed for Fast Diagnosis of Meteorological Roles in Ground-Level Ozone Variations |
title_sort | new index developed for fast diagnosis of meteorological roles in ground-level ozone variations |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8773386/ https://www.ncbi.nlm.nih.gov/pubmed/35079193 http://dx.doi.org/10.1007/s00376-021-1257-x |
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