聊城市PM_(2.5)和O_(3)污染特征及气象因素影响分析  

Analysis of PM_(2.5) and O_(3) pollution characteristics and the influence of meteorological factors in Liaocheng City

作　　者：菅月诚 赵铖博 朱子博 王一秋 高艳珊 彭娜娜 黄亮 李万勇 黄浩瑜 冯如帆 伦小秀 王强[1,2] JIAN Yuecheng;ZHAO Chengbo;ZHU Zibo;WANG Yiqiu;GAO Yanshan;PENG Nana;HUANG Liang;LI Wanyong;HUANG Haoyu;FENG Rufan;LUN Xiaoxiu;WANG Qiang(Beijing Key Lab for Source Control Technology of Water Pollution,College of Environmental Science and Engineering,Beijing Forestry University,Beijing 100083;Engineering Research Center for Water Pollution Source Control&Eco-remediation,College of Environmental Science and Engineering,Beijing Forestry University,Beijing 100083;Liaocheng Environmental Information and Monitoring Center,Liaocheng 252000)

机构地区：[1]北京林业大学环境科学与工程学院,水体污染源控制技术北京市重点实验室,北京100083 [2]北京林业大学环境科学与工程学院,污染水体源控制与生态修复技术北京市高等学校工程研究中心,北京100083 [3]聊城市环境信息与监控中心,聊城252000

出　　处：《环境科学学报》2023年第9期257-267,共11页Acta Scientiae Circumstantiae

基　　金：细颗粒物和臭氧污染协同防控“一市一策”驻点跟踪研究项目(No.DQGG202126,2021-HXFW-HJ-0024);国家自然科学基金(No.42077454)。

摘　　要：PM_(2.5)和O_(3)协同控制是我国“十四五”时期持续改善空气质量的关键,全面认识PM_(2.5)和O_(3)的污染特征及相关性是实现两者协同控制的重要基础.以聊城市为研究区域,分析了2019-2021年PM_(2.5)和O_(3)污染特征及相关性,并探究了气象因素对二者的影响.结果表明:(1)聊城市2019-2021年PM_(2.5)日均浓度和O_(3)-8 h-90per浓度均呈下降趋势,但夏季O_(3)污染和冬季PM_(2.5)污染形式仍十分严峻.在小时尺度上PM_(2.5)浓度呈“W型”与“N”型分布,O_(3)浓度呈“双峰双谷”分布.(2)与O_(3)浓度达标时相比,O_(3)超标时PM_(2.5)组分的平均浓度明显升高,二次无机离子(SNA)中SO_(4)^(2-)的平均浓度增长大,有机物组分中二次有机气溶胶(SOA)浓度增长大.(3)聊城市PM_(2.5)与O_(3)-8 h在春夏季呈正相关(0.14~0.499),冬季呈负相关(-0.259).春季和夏季,紫外辐射强度和相对湿度分别对PM_(2.5)-O_(3)-8 h正相关性起明显抑制作用;冬季,气压对PM_(2.5)-O_(3)-8 h负相关性起明显抑制作用.(4)决策树分析表明,温度>25.66℃、相对湿度<75.4%和风速<2.21 m·s^(-1)时,出现O_(3)污染及PM_(2.5)和O_(3)复合污染的概率分别为43.21%和51.85%.The collaborative control of PM_(2.5) and O_(3) is the key to the continuous improvement of air quality during the 14th Five-Year Plan period.A comprehensive understanding of the pollution characteristics and correlation of PM_(2.5) and O_(3) is an important basis for their collaborative control.Taking Liaocheng City as the research area,in this paper,the characteristics and correlation of PM_(2.5) and O_(3) pollution during 2019-2021 was analyzed,the influence of meteorological factors on them was explored as well.It was found that:①The average daily concentration of PM_(2.5) and O_(3)-8 h-90per in Liaocheng showed a decreasing trend from 2019 to 2021,however,the O_(3) pollution in summer and PM_(2.5) pollution in winter were still very serious.On the hourly scale,PM_(2.5) presented a"W-shaped"distribution in winter while an"N-shaped"in other seasons.O_(3) is distributed with“double peak to valley”.②When O_(3) concentration is exceeded,the average concentration of PM_(2.5) component increased significantly.The average concentration of both SO_(4)^(2-)in secondary inorganic ions(SNA)and secondary organic aerosol(SOA)in organic compounds increased significantly.③PM_(2.5) and O_(3)-8 h in Liaocheng were positively correlated(0.14~0.499)in spring and summer and negatively correlated(-0.259)in winter.Besides,UV radiation intensity and relative humidity significantly inhibited the positive correlation of PM_(2.5) and O_(3)-8 h,respectively in spring and summer.While atmospheric pressure played a significant inhibitory role in the negative correlation of PM_(2.5) and O_(3)-8 h in winter.④From the decision tree analysis results,the probability of O_(3) pollution and PM_(2.5) and O_(3) combined pollution is 43.21%and 51.85%,respectively when the temperature is greater than 25.66℃,the relative humidity is less than 75.4%and the wind speed is less than 2.21 m·s^(-1).

关 键 词：PM_(2.5) O_(3) 污染特征 皮尔逊系数 机器学习 聊城 

分 类 号：X51[环境科学与工程—环境工程]