Impact of FY-4A Satellite-Based Surface Solar Irradiance on the Classification of Meteorology for Ozone Pollution
Abstract Meteorological conditions are important for ozone formation, among which solar radiation is a key factor affecting ozone concentrations through its direct influence on photochemical reactions and indirect influence on precursor emissions. Due to the limited number of ground observation stat...
Saved in:
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2023-12-01
|
Series: | Aerosol and Air Quality Research |
Subjects: | |
Online Access: | https://doi.org/10.4209/aaqr.230231 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1823862854799851520 |
---|---|
author | Yang Cao Xiaoli Zhao Debin Su Hong Ren Xiang Cheng Yuchun Li Chenxi Wang |
author_facet | Yang Cao Xiaoli Zhao Debin Su Hong Ren Xiang Cheng Yuchun Li Chenxi Wang |
author_sort | Yang Cao |
collection | DOAJ |
description | Abstract Meteorological conditions are important for ozone formation, among which solar radiation is a key factor affecting ozone concentrations through its direct influence on photochemical reactions and indirect influence on precursor emissions. Due to the limited number of ground observation stations, a meteorological classification method for ozone pollution levels, including solar radiation, has not been proposed. In this study, the surface solar irradiance (SSI) obtained from the Fengyun-4A (FY-4A) satellite with high temporal and spatial resolutions was used as one of the input physical parameters to train a classifier for meteorology of ozone pollution and compared with that classifier without SSI to analyze the impact of solar radiation on the classification performance of trained classifiers. By comparing the SSI of the FY-4A satellite with ground-based observations, it was verified that there was a significant difference in values between the two data sources, but their distribution trends were consistent. By analyzing the relationship between hourly ozone concentrations and SSI of the FY-4A satellite, it was found that there was a positive linear correlation between them, and the correlation was the highest when the lead time of SSI was 3 hr. After including SSI, among the 21 cities in the study area, the number of cities with a classification accuracy exceeding 80% increased from 7 to 14, with 20 cities having a positive accuracy growth rate and 8 cities having an accuracy growth rate exceeding 4%. In addition, the SSI of the FY-4A satellite induced a significant improvement in the classification accuracy of level 1 and level 2 samples. In general, the FY-4A SSI data are helpful for improving the classification performance of the trained classifier for the meteorology of ozone pollution in the study area. |
format | Article |
id | doaj-art-ed0245b8dba34580beec93cecd187ba5 |
institution | Kabale University |
issn | 1680-8584 2071-1409 |
language | English |
publishDate | 2023-12-01 |
publisher | Springer |
record_format | Article |
series | Aerosol and Air Quality Research |
spelling | doaj-art-ed0245b8dba34580beec93cecd187ba52025-02-09T12:24:41ZengSpringerAerosol and Air Quality Research1680-85842071-14092023-12-0124211810.4209/aaqr.230231Impact of FY-4A Satellite-Based Surface Solar Irradiance on the Classification of Meteorology for Ozone PollutionYang Cao0Xiaoli Zhao1Debin Su2Hong Ren3Xiang Cheng4Yuchun Li5Chenxi Wang6Sichuan Meteorological Disaster Prevention Technology Center, Sichuan Provincial Meteorological ServiceSichuan Meteorological Disaster Prevention Technology Center, Sichuan Provincial Meteorological ServiceChina Meteorological Administration Key Laboratory of Atmospheric Sounding, Chengdu University of Information TechnologyCollege of Resources and Environment, Chengdu University of Information TechnologySichuan Meteorological Disaster Prevention Technology Center, Sichuan Provincial Meteorological ServiceZigong Meteorological BureauSichuan Meteorological Disaster Prevention Technology Center, Sichuan Provincial Meteorological ServiceAbstract Meteorological conditions are important for ozone formation, among which solar radiation is a key factor affecting ozone concentrations through its direct influence on photochemical reactions and indirect influence on precursor emissions. Due to the limited number of ground observation stations, a meteorological classification method for ozone pollution levels, including solar radiation, has not been proposed. In this study, the surface solar irradiance (SSI) obtained from the Fengyun-4A (FY-4A) satellite with high temporal and spatial resolutions was used as one of the input physical parameters to train a classifier for meteorology of ozone pollution and compared with that classifier without SSI to analyze the impact of solar radiation on the classification performance of trained classifiers. By comparing the SSI of the FY-4A satellite with ground-based observations, it was verified that there was a significant difference in values between the two data sources, but their distribution trends were consistent. By analyzing the relationship between hourly ozone concentrations and SSI of the FY-4A satellite, it was found that there was a positive linear correlation between them, and the correlation was the highest when the lead time of SSI was 3 hr. After including SSI, among the 21 cities in the study area, the number of cities with a classification accuracy exceeding 80% increased from 7 to 14, with 20 cities having a positive accuracy growth rate and 8 cities having an accuracy growth rate exceeding 4%. In addition, the SSI of the FY-4A satellite induced a significant improvement in the classification accuracy of level 1 and level 2 samples. In general, the FY-4A SSI data are helpful for improving the classification performance of the trained classifier for the meteorology of ozone pollution in the study area.https://doi.org/10.4209/aaqr.230231Fengyun-4ASurface solar irradianceOzone pollutionMeteorological conditions |
spellingShingle | Yang Cao Xiaoli Zhao Debin Su Hong Ren Xiang Cheng Yuchun Li Chenxi Wang Impact of FY-4A Satellite-Based Surface Solar Irradiance on the Classification of Meteorology for Ozone Pollution Aerosol and Air Quality Research Fengyun-4A Surface solar irradiance Ozone pollution Meteorological conditions |
title | Impact of FY-4A Satellite-Based Surface Solar Irradiance on the Classification of Meteorology for Ozone Pollution |
title_full | Impact of FY-4A Satellite-Based Surface Solar Irradiance on the Classification of Meteorology for Ozone Pollution |
title_fullStr | Impact of FY-4A Satellite-Based Surface Solar Irradiance on the Classification of Meteorology for Ozone Pollution |
title_full_unstemmed | Impact of FY-4A Satellite-Based Surface Solar Irradiance on the Classification of Meteorology for Ozone Pollution |
title_short | Impact of FY-4A Satellite-Based Surface Solar Irradiance on the Classification of Meteorology for Ozone Pollution |
title_sort | impact of fy 4a satellite based surface solar irradiance on the classification of meteorology for ozone pollution |
topic | Fengyun-4A Surface solar irradiance Ozone pollution Meteorological conditions |
url | https://doi.org/10.4209/aaqr.230231 |
work_keys_str_mv | AT yangcao impactoffy4asatellitebasedsurfacesolarirradianceontheclassificationofmeteorologyforozonepollution AT xiaolizhao impactoffy4asatellitebasedsurfacesolarirradianceontheclassificationofmeteorologyforozonepollution AT debinsu impactoffy4asatellitebasedsurfacesolarirradianceontheclassificationofmeteorologyforozonepollution AT hongren impactoffy4asatellitebasedsurfacesolarirradianceontheclassificationofmeteorologyforozonepollution AT xiangcheng impactoffy4asatellitebasedsurfacesolarirradianceontheclassificationofmeteorologyforozonepollution AT yuchunli impactoffy4asatellitebasedsurfacesolarirradianceontheclassificationofmeteorologyforozonepollution AT chenxiwang impactoffy4asatellitebasedsurfacesolarirradianceontheclassificationofmeteorologyforozonepollution |