Abstract
This study uses the daily product data of the concentration of ozone in the atmospheric column (ozone column concentration) collected by the Aura satellite’s Ozone Monitoring Instrument (OMI), to evaluate the ozone pollution status of the Fenwei Plain in east-central China, by employing pixel-based spatial analysis, an θslope trend index, a Hurst index, and grey correlation. The following results were found. (1) The spatial distribution of ozone in the atmosphere of the Fenwei Plain was higher in the north and lower in the south, with high values appearing in Jinzhong, Lvliang, and other cities. (2) The changes in ozone column concentration periodically and seasonally in the Fenwei Plain. Seasonally, the ozone column concentration was highest in spring, followed by summer, winter, and autumn. (3) The pixel-based trend change of the ozone slope (θslope) indicated that the ozone concentration in the region was in a downward trend, while the long-term correlation of the time series trend Hurst index found that the region should expect to see a weak rebound in the ozone column concentration in the future, so that routine monitoring should be strengthened. (4) The present study on the factors influencing the ozone concentration found that the concentration is relatively closely related to temperature, air pressure, humidity, grain sowing area, highway mileage, and secondary industry.
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The data sets used or analyzed during the current study are available from the corresponding author on reasonable request.
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Acknowledgements
The ozone column concentration data were all from an OMI sensor loaded on Aura satellite, and were obtained from https://www.nasa.gov/. The socioeconomic and human activity data, such as total energy production, GDP, and car ownership, were all from the National Bureau of Statistics of the People’s Republic of China (http://www.stats.gov.cn/).
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Peng, S., Ju, T., Liang, Z. et al. Analysis of atmospheric ozone in Fenwei Plain based on remote sensing monitoring. Environ Monit Assess 194, 412 (2022). https://doi.org/10.1007/s10661-022-10082-z
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DOI: https://doi.org/10.1007/s10661-022-10082-z