[Sensitivity Analysis of Ozone Generation in Guangdong Province Based on OMI Satellite and Ground Observation Data].

Based on Ozone (O<sub>3</sub>) Monitoring Instrument satellite remoting sensing data and reanalysis meteorological data, an analysis was conducted on the spatiotemporal distribution and trends of tropospheric nitrogen dioxide (NO<sub>2</sub>) and formaldehyde (HCHO) in Guangdong Province from 2015 to 2020. The study also examined the changing characteristics of O<sub>3</sub> generation sensitivity in relation to meteorological parameters. The results indicated that during 2015-2020, the tropospheric NO<sub>2</sub> column concentration in Guangdong Province exhibited a distribution pattern with the Pearl River Delta (PRD) Region as the high-value center gradually decreasing towards the surrounding areas, with the most substantial decline observed in the Pearl River Delta. The HCHO column concentration showed a pattern of higher values in the PRD and lower values in the other regions. While most areas exhibited a decreasing trend in HCHO column concentration, the spatial distribution was more dispersed compared to that of NO<sub>2</sub>. In most regions, the ratio of HCHO to NO<sub>2</sub> (FNR) showed an increasing trend. The area under VOCs-NO<i><sub>x</sub></i> synergistic control decreased, whereas the area under NO<i><sub>x</sub></i> control increased. By 2020, the proportions of VOCs control area, VOCs-NO<i><sub>x</sub></i> synergistic control area, and NO<i><sub>x</sub></i> control area in Guangdong Province were 0.5%, 13.1%, and 86.4%, respectively. The FNR value showed an increasing trend; a positive correlation with 2 m temperature, relative humidity, downward surface shortwave radiation, and boundary layer height; and a negative correlation with 10 m wind speed and sea level pressure. The three most influential meteorological factors were downward surface shortwave radiation(DSSR), relative humidity, and 2 m temperature, impacting the FNR value the most.

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Journal
PubMed
Published
2024-11-08
DOI
https://doi.org/10.13227/j.hjkx.202311261
Citations
1
Primary Topic
Air Quality Monitoring and Forecasting
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article
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[Sensitivity Analysis of Ozone Generation in Guangdong Province Based on OMI Satellite and Ground Observation Data].

Xinghui Wang, Yanni Liang, Run Liu, Jianmin Xu et al.
1 citations
PubMed
Air Quality Monitoring and Forecasting
article

[Sensitivity Analysis of Ozone Generation in Guangdong Province Based on OMI Satellite and Ground Observation Data].

Xinghui Wang, Yanni Liang, Run Liu, Jianmin Xu, Shu-Min Qi
article en
1 citations

Abstract

Based on Ozone (O<sub>3</sub>) Monitoring Instrument satellite remoting sensing data and reanalysis meteorological data, an analysis was conducted on the spatiotemporal distribution and trends of tropospheric nitrogen dioxide (NO<sub>2</sub>) and formaldehyde (HCHO) in Guangdong Province from 2015 to 2020. The study also examined the changing characteristics of O<sub>3</sub> generation sensitivity in relation to meteorological parameters. The results indicated that during 2015-2020, the tropospheric NO<sub>2</sub> column concentration in Guangdong Province exhibited a distribution pattern with the Pearl River Delta (PRD) Region as the high-value center gradually decreasing towards the surrounding areas, with the most substantial decline observed in the Pearl River Delta. The HCHO column concentration showed a pattern of higher values in the PRD and lower values in the other regions. While most areas exhibited a decreasing trend in HCHO column concentration, the spatial distribution was more dispersed compared to that of NO<sub>2</sub>. In most regions, the ratio of HCHO to NO<sub>2</sub> (FNR) showed an increasing trend. The area under VOCs-NO<i><sub>x</sub></i> synergistic control decreased, whereas the area under NO<i><sub>x</sub></i> control increased. By 2020, the proportions of VOCs control area, VOCs-NO<i><sub>x</sub></i> synergistic control area, and NO<i><sub>x</sub></i> control area in Guangdong Province were 0.5%, 13.1%, and 86.4%, respectively. The FNR value showed an increasing trend; a positive correlation with 2 m temperature, relative humidity, downward surface shortwave radiation, and boundary layer height; and a negative correlation with 10 m wind speed and sea level pressure. The three most influential meteorological factors were downward surface shortwave radiation(DSSR), relative humidity, and 2 m temperature, impacting the FNR value the most.

PubMedVol. 45(11)
Jinan University (CN), Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality (CN)
Air Quality Monitoring and Forecasting
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