摘要
结合许昌市2019—2022年夏季(5—9月)臭氧(O_(3))逐小时质量浓度与气象数据,分析O_(3)浓度变化特征与气象因子的影响,识别O_(3)污染传输特征与潜在源分布。结果表明,许昌市2019—2022年夏季O_(3)浓度整体呈下降趋势,但2022年O_(3)季均值略有上升;夏季中6月的O_(3)污染最重,平均日超标率达61%;O_(3)浓度日变化呈单峰状,峰值出现在16:00左右;O_(3)浓度与气温、风速呈正相关,与相对湿度呈负相关;当气温≥35℃、相对湿度为20%~<40%、风速为2~<3 m/s、主要风向为南风、东南风时易发生O_(3)小时浓度超标;6月高温(气温≥30℃)和低湿(相对湿度20%~<40%)时段持续时间长是导致O_(3)浓度较高的重要因素;2022年夏季气团主要来自东北、西南和东南方向;除本地生成外,许昌市高浓度O_(3)还受到山东、安徽、湖北等区域传输影响。
Based on the hourly O_(3)concentration and meteorological data during the summer(May to September)from 2019 to 2022,the features of O_(3)concentration and influence of methodological factors were analyzed.Additionally,the transportation and potential sources of O_(3)pollution in Xuchang City were also clarified.The results showed that the O_(3)concentrations in summer were generally decilining,but slightly increased in 2022.O_(3)pollution was heaviest in June with a average daily exceedance rate of 61%.The diurnal variation of O_(3)concentration showed a single peak,which happened at approximately 16:00.O_(3)concentration had a negative correlation with relative humidity but a positive correlation with temperature and wind speed.The hourly concentration of O_(3)was easily exceed the standard when the temperature≥35℃,relative humidity ranged 20%-<40%,wind speed between 2-<3 m/s and the wind direction was south and southeast.In the June,high temperature(≥30℃)and low humidity(20%-<40%)were important factors leading to high O_(3)concentration.In the summer of 2022,the air mass mainly comes from the northeast,southwest and southeast.In addition to the local formation,the high concentration of O_(3)in Xuchang City was also influenced by the transmission of other cities,including Henan,Shandong,Anhui,Hubei and other regions.
作者
徐媛倩
岳利波
曹霞
付广宇
罗艺琳
孙鹏
张志华
XU Yuanqian;YUE Libo;CAO Xia;FU Guangyu;LUO Yilin;SUN Peng;ZHANG Zhihua(College of Materials and Chemical Engineering,Zhengzhou University of Light Industry,Zhengzhou Henan 450001)
出处
《环境污染与防治》
CAS
CSCD
北大核心
2024年第3期367-372,379,共7页
Environmental Pollution & Control
基金
大气重污染成因与治理攻关项目(No.DQGG202136)
郑州轻工业大学博士科研基金资助项目(No.2022BSJJZK11)。
关键词
O_(3)
气象因子
潜在源贡献因子分析
浓度权重
O_(3)
meteorological factors
potential source analysis function
concentration weight