合肥市O_(3)浓度时空分布及典型污染过程潜在源分析  

Temporal and spatial distribution of O_(3) concentration and potential source areas of typical pollution processes in Hefei

作　　者：徐倩倩 戴睿 邓学良 金晓龙 武强 程志庆[4] XU Qianqian;DAI Rui;DENG Xueliang;JIN Xiaolong;WU Qiang;CHEGN Zhiqing(Hefei Meteorological Bureau,Hefei 230041;School of History,Culture and Tourism,Fuyang Normal University,Fuyang 236041;Chongqing Institute of Meteorological Sciences,Chongqing 401147;College of Resources and Environment,Anhui Agricultural University,Hefei 230000)

机构地区：[1]安徽省合肥市气象局,合肥230041 [2]阜阳师范大学历史文化与旅游学院,阜阳236041 [3]重庆市气象科学研究所,重庆401147 [4]安徽农业大学资源与环境学院,合肥230000

出　　处：《环境科学学报》2024年第4期215-226,共12页Acta Scientiae Circumstantiae

基　　金：安徽省自然科学基金(No.2208085QD120);安徽省自然科学基金江淮气象联合基金(No.2208085UQ03);安徽省气象局创新发展专项(No.CXB202202);合肥市气象局科研项目(No.HFZL2023001)。

摘　　要：近年来,合肥市O_(3)污染成为限制空气质量达标率的主要因素,为探究合肥地区O_(3)时空分布及潜在源区,在分析2015—2022年O_(3)时空分布及与气象要素关系的基础上,基于HYSPLIT后向轨迹模式及潜在源贡献分析方法(PSCF),对典型O_(3)污染过程的传输路径和潜在源区进行解析.结果表明:(1)合肥市MDA8-90th呈波动上升-下降-上升趋势,2022年相对于2015年增幅为47.6%,2019年臭氧质量浓度和超标率最高.O_(3)浓度日变化呈“单峰型”,07:00浓度最低,15:00—16:00左右达峰值;月变化为“M”型,6月浓度最高,12月最低;季节变化表现为夏季>春季>秋季>冬季;空间分布呈西北高、东北低;郊区高、城区低的特点.(2)O_(3)与平均气温、最高气温、日照时数呈显著正相关,与气压呈显著负相关,与相对湿度和风速的相关性较复杂;平均气温为20~30℃,日照时数大于等于10 h,相对湿度为60%~70%,风速小于2 m·s^(-1)时,O_(3)超标率最高;在不同气象要素分级组合协同条件下,O_(3)与气温、日照的相关性明显高于其与风速和湿度的相关性.(3)受台风“海神”外围东北下沉气流影响,合肥出现典型O_(3)污染过程,轨迹聚类表明本地周边西北和东北地区的短距离输送占比较大,占比分别为40.63%和23.97%;PSCF和CWT分析得出除本地影响外,省内的滁州、淮南是O_(3)浓度潜在源高值区.因此,当前合肥地区O_(3)污染防控除了对本地污染源排放进行严格管控外,还要对周边地市加强联防联控.O_(3) pollution has become the primary factor limiting Hefei′s air quality compliance rate in recent years.In order to examine the spatial pattern and the potential sources of ozone pollution in Hefei,we analyzed the temporal and spatial distribution characteristics of ozone and explored the driving mechanism of meteorological factors.In this study,the transmission path and potential source area of typical O_(3) pollution processes were investigated using the HYSPLIT backward trajectory model and potential source contribution analysis method (PSCF).The results showed that:(1)The MDA8-90th in Hefei showed a fluctuation trend,and the increase rate in 2022 was 47.6%higher than in 2015,both ozone mass concentration and over-standard rate reached their highest levels in 2019.O_(3) concentration shows a prominent"single peak"structure during the day,with the lowest concentration occurring at 7:00 and the peak occurring at 15:00—16:30.A M-shaped pattern was evident in the monthly variations of O_(3),with the lowest concentration in December and the highest concentration in June.As for the seasonal variation,the concentrations of O_(3) in summer and spring were higher than that in autumn and winter.The concentrations of O_(3) were decreasing gradually from the northwest to southeast,the suburban areas were found with high level of O_(3) concentrations than the urban areas.(2)A significant positive correlation exists between O_(3) and mean temperature,maximum temperature,and sunshine duration,while a significant negative correlation exists between O_(3) and air pressure.The relationship between O_(3) and wind speed and relative humidity is complicated.The highest O_(3) over standard rate occurs at temperatures between 20℃and 30℃,sunshine duration greater than or equal to 10 hours,relative humidity between 60%to 70%,and wind speed less than 2 m·s^(-1).Temperature and sunshine are significantly more correlated with O_(3) than wind speed and humidity when different meteorological elements cooperate.(3)The trajectory

关 键 词：O_(3) 时空分布 气象影响 潜在源区 合肥 

分 类 号：X515[环境科学与工程—环境工程]