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<p>Based on monitoring data from six environmental stations in Hainan Province from 2015 to 2022, this study analyzed the spatiotemporal distribution of PM<sub>2.5</sub> and O₃ in Haikou and Sanya. Random forest was used to explore the main influencing factors of PM<sub>2.5</sub> and O₃. Combined with data from statistical yearbooks, the disease burden attributed to both pollutants were estimated. The results show: Annually, under the influence of various policies, PM<sub>2.5</sub> concentrations significantly decreased in both cities, while O₃ concentrations showed an overall increasing trend. Seasonally, both PM<sub>2.5</sub> and O₃ concentrations were lower in summer and higher in autumn and winter. Haikou had higher concentrations than Sanya. Spatially, the highest PM<sub>2.5</sub> was found at the Xiuying Hainan Hospital site in southwest Haikou, and the highest O₃ was at the Hainan University site in the north, mainly due to external pollutant transport and site location. Among atmospheric pollutants, O₃ had the greatest impact on PM<sub>2.5</sub> concentrations, while NO₂ most significantly influenced O₃. Regarding meteorological factors, air temperature in Haikou and dew point temperature in Sanya were the most influential. From 2015 to 2018, the number of premature deaths caused by PM<sub>2.5</sub> was generally higher than that caused by O₃. From 2019 to 2020, the number of premature deaths caused by O₃ increased significantly and surpassed that caused by PM<sub>2.5</sub>. Currently, controlling O₃ in this region is an urgent priority.</p>

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Pollution Characteristics and Disease Burden of PM2.5 and O₃ in Hainan Province from 2015 to 2022

  • 期刊论文

  • 发表日期：

    2026年5月25日

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  • Wenci Ding,
  • Jin Wang,
  • Youzhi Zhao,
  • Huikun Liu,
  • Guangshui Na,
  • Ping Wang

摘要

Based on monitoring data from six environmental stations in Hainan Province from 2015 to 2022, this study analyzed the spatiotemporal distribution of PM2.5 and O₃ in Haikou and Sanya. Random forest was used to explore the main influencing factors of PM2.5 and O₃. Combined with data from statistical yearbooks, the disease burden attributed to both pollutants were estimated. The results show: Annually, under the influence of various policies, PM2.5 concentrations significantly decreased in both cities, while O₃ concentrations showed an overall increasing trend. Seasonally, both PM2.5 and O₃ concentrations were lower in summer and higher in autumn and winter. Haikou had higher concentrations than Sanya. Spatially, the highest PM2.5 was found at the Xiuying Hainan Hospital site in southwest Haikou, and the highest O₃ was at the Hainan University site in the north, mainly due to external pollutant transport and site location. Among atmospheric pollutants, O₃ had the greatest impact on PM2.5 concentrations, while NO₂ most significantly influenced O₃. Regarding meteorological factors, air temperature in Haikou and dew point temperature in Sanya were the most influential. From 2015 to 2018, the number of premature deaths caused by PM2.5 was generally higher than that caused by O₃. From 2019 to 2020, the number of premature deaths caused by O₃ increased significantly and surpassed that caused by PM2.5. Currently, controlling O₃ in this region is an urgent priority.