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关中地区大气臭氧污染变化特征及其来源解析
摘要点击 735  全文点击 167  投稿时间:2023-05-26  修订日期:2023-09-28
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中文关键词  臭氧(O3  时序变化  前体物  来源解析  关中地区
英文关键词  ozone (O3  time-series change  precursor  source analysis  Guanzhong Region
作者单位E-mail
王星 长安大学水利与环境学院, 西安 710054
长安大学旱区地下水文与生态效应教育部重点实验室, 西安 710054 
wangxing199910@163.com 
霍艾迪 长安大学水利与环境学院, 西安 710054
长安大学旱区地下水文与生态效应教育部重点实验室, 西安 710054
自然资源部矿山地质灾害成灾机理与防控重点实验室, 西安 710054 
huoaidi@chd.edu.cn 
吕继强 长安大学水利与环境学院, 西安 710054
长安大学旱区地下水文与生态效应教育部重点实验室, 西安 710054 
 
赵志欣 长安大学水利与环境学院, 西安 710054
长安大学旱区地下水文与生态效应教育部重点实验室, 西安 710054 
 
陈建 长安大学水利与环境学院, 西安 710054
长安大学旱区地下水文与生态效应教育部重点实验室, 西安 710054 
 
钟芳倩 长安大学水利与环境学院, 西安 710054
长安大学旱区地下水文与生态效应教育部重点实验室, 西安 710054 
 
杨璐莹 长安大学水利与环境学院, 西安 710054
长安大学旱区地下水文与生态效应教育部重点实验室, 西安 710054 
 
杨磊 陕西省西咸新区秦汉新城管理委员会, 西安 712000  
中文摘要
      关中城市群发展基础较好和开发潜力较大,是中国西部地区的重要经济和文化中心. 近年来关中地区空气质量的持续改善受到了近地面臭氧(O3)问题的显著影响,为采取有效措施防治O3污染,基于2018~2021年环境监测数据分析关中地区O3浓度年、月及日变化等特征规律;采用地理探测器研究O3浓度空间分异的驱动因素,通过后向轨迹模型和排放因子法等方法解析O3来源. 结果表明,关中地区O3浓度日、月变化呈单峰型特征,日最高值出现在15:00,最低值出现在07:00,月均峰值出现在6月,谷值出现在12月,O3浓度夏季最高,春季次之、冬季最小;O3超标天数中以轻度污染为主,且中度及以上污染呈先下降后增加趋势;关中地区O3浓度主要与前体物和气象因素关系密切,且各因子交互作用的解释力显著大于单一因子;关中地区O3浓度区域传输主要受偏东向气流影响,其次是西北方向,潜在源区主要在河南省和湖北省;挥发性有机物(VOCs)本地主要来源为溶剂使用源、工艺过程源和移动源,氮氧化物(NOx)主要排放源为移动源和工业生产燃烧源. 研究结果对关中地区O3科学防控具有指导意义.
英文摘要
      Guanzhong urban agglomeration has a good development foundation and great development potential, and it has a unique strategic position in the national all-round opening up pattern. In recent years, the problem of near-surface ozone (O3) in the Guanzhong Region has become increasingly prominent, which has become a bottleneck affecting the continuous improvement of air quality. In order to effectively prevent and control O3 pollution, this study analyzed the characteristics of annual, monthly, and daily changes in O3 concentration in the Guanzhong Region based on the environmental monitoring data from 2018 to 2021. A geo-detector was used to study the driving factors of the spatial differentiation of O3 concentration, and the sources of O3 were analyzed using a backward trajectory model and emission inventory construction. The results showed that the daily and monthly variation in O3 concentration in the Guanzhong Region were unimodal. The daily maximum value appeared at 15:00, the minimum value appeared at 07:00, the peak value of the monthly average appeared in June, and the valley value appeared in December. The O3 concentration was highest in summer, followed by that in spring, and the lowest in winter. The days of O3 exceeding the standard showed mainly mild pollution, and moderate and above pollution showed a trend of decreasing first and then increasing. The O3 concentration in the Guanzhong Region was mainly closely related to precursors and meteorological factors, and the explanatory power of the interaction of each factor was significantly greater than that of any single factor. The regional transport of O3 concentration in the Guanzhong Region was mainly affected by easterly airflow, followed by the northwest direction, with the potential source areas located mainly in Henan Province and Hubei Province. The main local sources of volatile organic compounds (VOCs) were solvent use sources, process sources, and mobile sources, and the main emission sources of nitrogen oxides (NOx) were mobile sources and industrial production combustion sources. The research results have a guiding significance for O3 joint prevention and control in the Guanzhong Region.

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