苏州市PM_(2.5)和O_(3)污染特征、输送路径及潜在源区分析  

Characteristics,Transport Routes,and Potential Sources of PM_(2.5) and O_(3) Pollution in Suzhou

作　　者：杨洁[1] 郑嘉兴 徐婷婷 吴雨涟 阚诗烨 沈春其 邵智娟 YANG Jie;ZHENG Jia-xing;XU Ting-ting;WU Yu-lian;KAN Shi-ye;SHEN Chun-qi;SHAO Zhi-juan(School of Environmental Science and Engineering,Suzhou University of Science and Technology,Suzhou 215009,China)

机构地区：[1]苏州科技大学环境科学与工程学院,苏州215009

出　　处：《环境科学》2024年第11期6238-6247,共10页Environmental Science

基　　金：国家自然科学基金项目(42377051);苏州市科技计划民生科技项目(SS202027)。

摘　　要：基于2015~2022年苏州市PM_(2.5)和O_(3)浓度及其气象资料,分析两种污染物浓度的长期变化特征和不同污染类型时的气象特征,采用HYSPLIT后向轨迹模型和聚类分析等方法,分析PM_(2.5)和O_(3)主要输送路径和潜在源区.结果表明:①2015~2022年,苏州市PM_(2.5)年浓度均值逐年下降,2020~2022年年浓度均值达到国家二级标准;O_(3)年评价值在163~173µg·m^(-3)之间,均超出国家二级标准;2017之后,O_(3)的年超标天数始终高于PM_(2.5);复合污染天数自2015年的9 d持续下降至2020年的0 d,此后未出现复合污染.②PM_(2.5)和O_(3)污染最严重季节分别在冬季和夏季;PM_(2.5)污染易出现在低温高湿的天气,O_(3)污染易出现在高温低湿的天气;PM_(2.5)和O_(3)分别在西北和东南风向上污染较为严重;PM_(2.5)和O_(3)在夏季呈现强正相关性,相关系数最高达0.73.③通过聚类分析发现,春季来自河北省的内陆中短距离轨迹2和冬季来自陕西省的内陆中短距离轨迹4容易造成PM_(2.5)浓度增加;夏季来自山东省的内陆中短距离轨迹1和春季来自河北省的轨迹2容易造成O_(3)浓度增加.④潜在源区分析表明,PM_(2.5)在春冬季节的潜在源区主要分布在安徽省、河南省和湖北省,秋季时的潜在源区主要位于湖北省和江西省等地区.春夏季O_(3)的潜在源区主要位于京津冀地区、山东省、河南省和山西省等地区.最后提出推进苏州市PM_(2.5)与O_(3)污染协同控制工作的相关建议.Based on the air quality and meteorological data in Suzhou from 2015 to 2022,the long-term variations in PM_(2.5) and O_(3),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_(2.5) and O_(3).The results showed that:①The annual averaged concentrations of PM_(2.5) 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 O_(3) all exceeded the national second-level standard limit.After 2017,the annual number of days that O_(3) exceeded the standard was always higher than that for PM_(2.5).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.②The most severe pollution seasons for PM_(2.5) and O_(3)were winter and summer,respectively.PM_(2.5) pollution was more likely to occur in lowtemperature and high-humidity weather,while O_(3) pollution was more frequent in high-temperature and low-humidity weather.Wind direction played an important role,with northwest winds amplifying PM_(2.5) pollution and southeast winds boosting O_(3).These two pollutants showed a strong correlation in summer with a coefficient reaching 0.73.③Cluster 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_(2.5) 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 O_(3) concentration.④The analysis of potential source areas showed that transportation outside the province had a significant impact on PM_(2.5) and O_(3) pollution in Suzhou.The potential source areas of PM_(2.5) in spring and winter were mainly distributed in Anhui Province,Henan Province,and Hubei

关 键 词：PM_(2.5) O_(3) 污染特征 后向轨迹 输送路径 潜在源区 

分 类 号：X51[环境科学与工程—环境工程]