Analysis of remote sensing monitoring of atmospheric ozone in Japan for the past 12 years

Abstract It is ozone pollution great significance to the study of photochemical smog to understand the present situation of ozone pollution in Japan and provide theoretical basis for solving ozone pollution problem. Based on remote sensing data from OMI satellites, MK and Slope trend analysis, Hurst index analysis, the potential source contribution factor algorithm, Kendall correlation analysis, and the random forest regression model were used in this paper to investigate ozone column concentrations in Japan from 2010 through 2021. The results showed that ozone column concentration have shown a significant latitudinal trend over the past 12 years, ozone column concentration have increased with latitude, the spatial distribution patterns have remained consistent from month to month, and the slope has showen a lower upward trend over the years (slope = 0.0052). The interannual maximum and minimum ozone column concentrations are in 2021 (387.57 DU) and 2015 (241.27 DU), respectively. The monthly maximum and minimum values occur in February (443.03 DU) and December (234.04 DU). Spring (352.94 DU) > winter (336.01 DU) > summer (306.78 DU) > autumn (296.30 DU). Column ozone concentrations have increased in 69.82% of Japan over the past 12 years. In 2022, the maximum, minimum, and mean ozone column concentrations based on random forest forecasts are 372DU, 278DU, and 334DU, respectively. pollution sources in Japan are largely derived from pollutants that are transported across borders from the seas around the country or from other countries in the world, with the largest potential source areas being located in the Kanto region. Ozone is negatively correlated with precipitable water and air temperature, positively correlated with nitrogen dioxide and the rising index, and uncorrelated with air pressure. The contribution of population and GDP to ozone is small.