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2015—2022年荆州市O_(3)污染特征及其源区分析

Analysis of O_(3) pollution characteristics and source areas in Jingzhou City from 2015 to 2022
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摘要 利用湖北省荆州市2015—2022年O_(3)站点观测数据和气象要素数据,分析了该地区O_(3)污染特征及O_(3)浓度与近地面气温、相对湿度、降水量、日照时数和风场的关系,并利用后向轨迹模型进行了源区分析.结果表明,2015—2020年荆州市O_(3)浓度呈下降趋势(其中,2017年年均浓度较低),但近两年(2021—2022年)O_(3)浓度显著上升.荆州市O_(3)浓度与气象要素的相关性分析表明,O_(3)浓度与近地面温湿度相关最强,尤其在高温低湿(RH≤60%、温度超过30℃)的条件下易出现O_(3)浓度高值.此外,研究发现风场对O_(3)浓度有重要影响:荆州市O_(3)浓度分布与风场密切相关且季节差异显著.春季在偏南风(风速为2~5 m·s^(-1))情况下易出现O_(3)浓度高值;夏、秋两季O_(3)浓度高值则多出现在偏东风(风速小于3 m·s^(-1))情况下.由气团轨迹后向模拟、浓度权重轨迹分析法(CWT)和潜在源贡献因子分析方法(PSCF)的分析结果可知,不同季节荆州市O_(3)源区分布特征存在差异.春季贡献高值区主要位于荆州以南地区和湖北省东部地区;夏季主要源区分布于荆州东北方向,包括武汉周边地区、河南省郑州、驻马店及其南部地区;秋季源区分布以偏东方向为主,主要为湖北省东部和豫皖交界地区. This study used observations of O_(3) and meteorological factors from 2015 to 2022 in Jingzhou City,Hubei Province,to analyze the characteristics of O_(3) pollution and the relationship between O_(3) concentration and near-surface temperature,relative humidity,precipitation,sunshine duration,and wind field.The source region was analyzed using a backward trajectory model.The results indicate that the O_(3) concentration in Jingzhou City had a decreasing trend over 2015—2020,with the lowest concentration in 2017,but it increased significantly in the past two years(2021—2022).The correlation analysis between O_(3) concentration and meteorological factors in Jingzhou City shows that O_(3) concentration is closely related to the surface temperature and humidity,especially high values of O_(3) concentration are prone to occur under high temperature and low humidity(i.e.,RH≤60%,temperature>30 ℃).In addition,the O_(3) distribution in Jingzhou City is closely related to the wind field,with significant seasonal variations.High O_(3) concentrations are more likely to occur under southerly winds(with speeds of 2~5 m·s^(-1)) in spring,while in summer and autumn,high O_(3concentrations) are more commonly observed under easterly winds(with speeds less than 3 m·s^(-1)).According to the results of backward simulation of airflow trajectory,the concentration weighted trajectory analysis(CWT) and potential source contribution factor analysis(PSCF),the characteristics of the O_(3) source region in Jingzhou City vary with seasons.In spring,high-value contribution area is mainly located in the south of Jingzhou and in the eastern part of Hubei Province.During summer,the main source area is distributed northeast of Jingzhou,including the surrounding areas of Wuhan,Zhengzhou in Henan Province,Zhumadian and its southern area.In autumn,the source area is predominantly distributed in the eastward direction,mainly encompassing the eastern part of Hubei Province and the border region between Henan and Anhui provinces.
作者 杨天顺 吴丽晴 卢硕 赵天良 徐建军 YANG Tianshun;WU Liqing;LU Shuo;ZHAO Tianliang;XU Jianjun(College of Ocean and Meteorology,Guangdong Ocean University,Zhanjiang 524000;Shenzhen Institute,Guangdong Ocean University,Shenzhen 518120;South China Sea Institute of Marine Meteorology,Guangdong Ocean University,Zhanjiang 524000;Xiong’an Atmospheric Boundary Layer Key Laboratory,China Meteorological Administration,Xiong’an New Area 071899;Key Laboratory for Aerosol-Cloud-Precipitation of the China Meteorological Administration,Nanjing 210044)
出处 《环境科学学报》 CAS CSCD 北大核心 2024年第5期285-298,共14页 Acta Scientiae Circumstantiae
基金 国家自然科学基金重大项目(No.72293604) 广东海洋大学科研启动经费资助项目(No.060302032301)。
关键词 O_(3) 溯源分析 气象要素 荆州 ozone source area analysis meteorological factors Jingzhou
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