Characteristics and Source Analysis of Ozone Pollution in Tianjin from 2013 to 2022
This study has analyzed ozone pollution in Tianjin from 2013 to 2022, focusing on the relationships between ozone distribution, meteorological conditions, and precursor substances. A method for identifying high-value areas of ozone precursors using the Ozone Sensitivity Factor (FNR) has been introdu...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/21/3970 |
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| author | Shuo Dong Pengfei Ma Xingchuan Yang Nana Luo Linhan Chen Lili Wang Hanyang Song Shaohua Zhao Wenji Zhao |
| author_facet | Shuo Dong Pengfei Ma Xingchuan Yang Nana Luo Linhan Chen Lili Wang Hanyang Song Shaohua Zhao Wenji Zhao |
| author_sort | Shuo Dong |
| collection | DOAJ |
| description | This study has analyzed ozone pollution in Tianjin from 2013 to 2022, focusing on the relationships between ozone distribution, meteorological conditions, and precursor substances. A method for identifying high-value areas of ozone precursors using the Ozone Sensitivity Factor (FNR) has been introduced. Results show that the average ozone concentration in Tianjin has been 100.608 µg/m<sup>3</sup>, with an annual growth rate of 2.84 µg·m⁻<sup>3</sup>·yr⁻¹. Tianjin has ranked among the top provinces and urban agglomerations in China for both ozone concentration and growth rate. Ozone levels have peaked in summer, followed by spring, autumn, and winter, while the growth rate has been highest in spring. This indicates that ozone pollution extends from summer into spring and autumn. An analysis of six ozone pollution events reveals significant regional transmission impacts from northern Hebei and Inner Mongolia, contributing over 30%, with additional significant contributions from southern and southwestern Hebei and western Shandong. In terms of controlling ozone precursors, high-HCHO-value areas have been identified. The correlation between areas of high HCHO values and ground-level ozone concentrations was 0.56339 during the ozone season and 0.2214 during the non-ozone season, both of which improved identification accuracy to varying degrees, suggesting that targeting precursor emissions in these areas could enhance pollution mitigation efforts. |
| format | Article |
| id | doaj-art-f56c04e0471d445393c4c2f0b76c6a14 |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-f56c04e0471d445393c4c2f0b76c6a142024-11-08T14:40:21ZengMDPI AGRemote Sensing2072-42922024-10-011621397010.3390/rs16213970Characteristics and Source Analysis of Ozone Pollution in Tianjin from 2013 to 2022Shuo Dong0Pengfei Ma1Xingchuan Yang2Nana Luo3Linhan Chen4Lili Wang5Hanyang Song6Shaohua Zhao7Wenji Zhao8College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, ChinaMinistry of Ecology and Environment Center for Satellite Application on Ecology and Environment State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing 100094, ChinaCollege of Resource Environment and Tourism, Capital Normal University, Beijing 100048, ChinaSchool of Geomatics and Urban Information, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaMinistry of Ecology and Environment Center for Satellite Application on Ecology and Environment State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing 100094, ChinaCollege of Resource Environment and Tourism, Capital Normal University, Beijing 100048, ChinaCollege of Resource Environment and Tourism, Capital Normal University, Beijing 100048, ChinaMinistry of Ecology and Environment Center for Satellite Application on Ecology and Environment State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing 100094, ChinaCollege of Resource Environment and Tourism, Capital Normal University, Beijing 100048, ChinaThis study has analyzed ozone pollution in Tianjin from 2013 to 2022, focusing on the relationships between ozone distribution, meteorological conditions, and precursor substances. A method for identifying high-value areas of ozone precursors using the Ozone Sensitivity Factor (FNR) has been introduced. Results show that the average ozone concentration in Tianjin has been 100.608 µg/m<sup>3</sup>, with an annual growth rate of 2.84 µg·m⁻<sup>3</sup>·yr⁻¹. Tianjin has ranked among the top provinces and urban agglomerations in China for both ozone concentration and growth rate. Ozone levels have peaked in summer, followed by spring, autumn, and winter, while the growth rate has been highest in spring. This indicates that ozone pollution extends from summer into spring and autumn. An analysis of six ozone pollution events reveals significant regional transmission impacts from northern Hebei and Inner Mongolia, contributing over 30%, with additional significant contributions from southern and southwestern Hebei and western Shandong. In terms of controlling ozone precursors, high-HCHO-value areas have been identified. The correlation between areas of high HCHO values and ground-level ozone concentrations was 0.56339 during the ozone season and 0.2214 during the non-ozone season, both of which improved identification accuracy to varying degrees, suggesting that targeting precursor emissions in these areas could enhance pollution mitigation efforts.https://www.mdpi.com/2072-4292/16/21/3970ozone pollutionozone sourceTianjinhigh-value area identification |
| spellingShingle | Shuo Dong Pengfei Ma Xingchuan Yang Nana Luo Linhan Chen Lili Wang Hanyang Song Shaohua Zhao Wenji Zhao Characteristics and Source Analysis of Ozone Pollution in Tianjin from 2013 to 2022 Remote Sensing ozone pollution ozone source Tianjin high-value area identification |
| title | Characteristics and Source Analysis of Ozone Pollution in Tianjin from 2013 to 2022 |
| title_full | Characteristics and Source Analysis of Ozone Pollution in Tianjin from 2013 to 2022 |
| title_fullStr | Characteristics and Source Analysis of Ozone Pollution in Tianjin from 2013 to 2022 |
| title_full_unstemmed | Characteristics and Source Analysis of Ozone Pollution in Tianjin from 2013 to 2022 |
| title_short | Characteristics and Source Analysis of Ozone Pollution in Tianjin from 2013 to 2022 |
| title_sort | characteristics and source analysis of ozone pollution in tianjin from 2013 to 2022 |
| topic | ozone pollution ozone source Tianjin high-value area identification |
| url | https://www.mdpi.com/2072-4292/16/21/3970 |
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