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作 者:查英英 黄忠良 井振辉 张朝振 ZHA Yingying;HUANG Zhongliang;JING Zhenhui;ZHANG Chaozhen(Jiangxi Shouke Ecological Environment Co.,Ltd.,Jiujiang Jiangxi 332000,China;Beijing Capital Air Environment Science&Technology Co.,Ltd.,Beijing 110000,China)
机构地区:[1]江西首科生态环境有限公司,江西九江332000 [2]北京首创大气环境科技股份有限公司,北京110000
出 处:《江西化工》2025年第2期91-96,共6页Jiangxi Chemical Industry
摘 要:基于江西省城市环境空气质量自动监控系统数据,对共青城市2019—2023年O_(3)污染时间分布特征进行了统计,并研究了2019—2023年每年的4月至10月共青城市气象因素对臭氧(O_(3))污染的影响。利用TrajStat模型分析了O_(3)气团轨迹和潜在污染源。结果表明,2019—2023年共青城市O_(3)污染天数逐年递减,O_(3)污染多发于4—6月和8—10月,其中9月O_(3)超标天数最多。O_(3)的日变化呈现典型的“单峰”型,季度变化幅度为秋季>夏季>春季>冬季,2020年、2021年和2023年表现出明显的周末效应。当日平均气温高于21℃,日均湿度介于43%~70%、风速介于0~3 m/s时,西北和东南方向易出现臭氧高值。共青城市受东北方向安徽省、西北方向湖北省及西南方向南昌市的O_(3)贡献影响较大。Based on the data from the automatic monitoring system for urban ambient air quality in Jiangxi Province,the temporal distribution characteristics of ozone(O_(3))pollution in Gongqing City from 2019 to 2023 were analyzed.The impact of meteorological factors on O_(3)pollution in Gongqing City was studied.In addition,the Trajstat model was used to explored the trajectory of O_(3)air mass and potential pollution sources areas.The results show that the over-standard days of O_(3)concentration were concentrated in September and decreases year by year from 2019 to 2023.The diurnal variation of O_(3)was presents a typical“single-peak”pattern,and the quarterly variation amplitude was in the order of autumn>summer>spring>winter.A significant weekend effect was observed in 2020,2021 and 2023.When the average temperature was more than 21℃and the relative humidity was between 43%and 70%,the O_(3)concentration was higher.Under the influence of northwest windy and southeast wind between 0 and 3 m/s,it was easier to cause O_(3)pollution.The regional transport from Anhui Province located in the northeast,Hubei Province in the northwest and Nanchang in the southwest contributed to O_(3)concentration.
关 键 词:共青城市 O_(3)污染特征 气象因素 潜在源区
分 类 号:X515[环境科学与工程—环境工程]
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