{"title":"[Characteristics, Transport Routes, and Potential Sources of PM<sub>2.5</sub> and O<sub>3</sub> Pollution in Suzhou].","authors":"Jie Yang, Jia-Xing Zheng, Ting-Ting Xu, Yu-Lian Wu, Shi-Ye Kan, Chun-Qi Shen, Zhi-Juan Shao","doi":"10.13227/j.hjkx.202310170","DOIUrl":null,"url":null,"abstract":"<p><p>Based on the air quality and meteorological data in Suzhou from 2015 to 2022, the long-term variations in PM<sub>2.5</sub> and O<sub>3</sub>, meteorological characteristics, and their correlations were analyzed in this study. The HYSPLIT model was used to explore the main transport pathways and potential source areas of PM<sub>2.5</sub> and O<sub>3</sub>. The results showed that: ① The annual averaged concentrations of PM<sub>2.5</sub> in Suzhou decreased steadily during the study period, and the annual average concentration from 2020 to 2022 reached the national second-level standard limit. However, the annual average concentrations of O<sub>3</sub> all exceeded the national second-level standard limit. After 2017, the annual number of days that O<sub>3</sub> exceeded the standard was always higher than that for PM<sub>2.5</sub>. The number of days of compound pollution continuously decreased from nine days in 2015 to zero days in 2020, and there was no compound pollution since then. ② The most severe pollution seasons for PM<sub>2.5</sub> and O<sub>3</sub> were winter and summer, respectively. PM<sub>2.5</sub> pollution was more likely to occur in low-temperature and high-humidity weather, while O<sub>3</sub> pollution was more frequent in high-temperature and low-humidity weather. Wind direction played an important role, with northwest winds amplifying PM<sub>2.5</sub> pollution and southeast winds boosting O<sub>3</sub>. These two pollutants showed a strong correlation in summer with a coefficient reaching 0.73. ③ Cluster analysis revealed that trajectory two from Hebei Province in spring and trajectory four from Shaanxi Province in winter were prone to an increase in PM<sub>2.5</sub> concentration. The short to medium distance trajectory 1 from Shandong Province in summer and trajectory two from Hebei Province in spring were prone to an increase in O<sub>3</sub> concentration. ④ The analysis of potential source areas showed that transportation outside the province had a significant impact on PM<sub>2.5</sub> and O<sub>3</sub> pollution in Suzhou. The potential source areas of PM<sub>2.5</sub> in spring and winter were mainly distributed in Anhui Province, Henan Province, and Hubei Province; the potential source areas in autumn were mainly distributed in Hubei Province and Jiangxi Province; and the potential source areas of O<sub>3</sub> in spring and summer were mainly located in the Beijing-Tianjin-Hebei Region, Shandong Province, Henan Province, and Shanxi Province. Valuable management insights for the coordinated control of PM<sub>2.5</sub> and O<sub>3</sub> pollution in Suzhou were put forward based on this study.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"45 11","pages":"6238-6247"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"环境科学","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.13227/j.hjkx.202310170","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Environmental Science","Score":null,"Total":0}
引用次数: 0
Abstract
Based on the air quality and meteorological data in Suzhou from 2015 to 2022, the long-term variations in PM2.5 and O3, meteorological characteristics, and their correlations were analyzed in this study. The HYSPLIT model was used to explore the main transport pathways and potential source areas of PM2.5 and O3. The results showed that: ① The annual averaged concentrations of PM2.5 in Suzhou decreased steadily during the study period, and the annual average concentration from 2020 to 2022 reached the national second-level standard limit. However, the annual average concentrations of O3 all exceeded the national second-level standard limit. After 2017, the annual number of days that O3 exceeded the standard was always higher than that for PM2.5. The number of days of compound pollution continuously decreased from nine days in 2015 to zero days in 2020, and there was no compound pollution since then. ② The most severe pollution seasons for PM2.5 and O3 were winter and summer, respectively. PM2.5 pollution was more likely to occur in low-temperature and high-humidity weather, while O3 pollution was more frequent in high-temperature and low-humidity weather. Wind direction played an important role, with northwest winds amplifying PM2.5 pollution and southeast winds boosting O3. These two pollutants showed a strong correlation in summer with a coefficient reaching 0.73. ③ Cluster analysis revealed that trajectory two from Hebei Province in spring and trajectory four from Shaanxi Province in winter were prone to an increase in PM2.5 concentration. The short to medium distance trajectory 1 from Shandong Province in summer and trajectory two from Hebei Province in spring were prone to an increase in O3 concentration. ④ The analysis of potential source areas showed that transportation outside the province had a significant impact on PM2.5 and O3 pollution in Suzhou. The potential source areas of PM2.5 in spring and winter were mainly distributed in Anhui Province, Henan Province, and Hubei Province; the potential source areas in autumn were mainly distributed in Hubei Province and Jiangxi Province; and the potential source areas of O3 in spring and summer were mainly located in the Beijing-Tianjin-Hebei Region, Shandong Province, Henan Province, and Shanxi Province. Valuable management insights for the coordinated control of PM2.5 and O3 pollution in Suzhou were put forward based on this study.