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文章摘要
台州市区臭氧污染特征及来源解析
Study on Pollution Characteristics and Source Apportionment of Ozone in Taizhou
  
DOI:
中文关键词: 臭氧  污染特征  来源解析  CMAQ模型  台州
英文关键词: Ozone  Pollution characteristic  Source apportionment  Community multiscale air quality(CMAQ) model  Taizhou
基金项目:2016年度国家自然科学基金委员会青年基金资助项目(51608475);浙江省科技厅公益技术研究工业基金资助项目(2015C31011)
作者单位
何微娜 台州市环境监测中心站 
谢松青 台州市环境监测中心站 
陶志华 台州市环境监测中心站 
李伟 浙江大学环境工程研究所 
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中文摘要:
      利用台州市区2013—2017年O3监测数据分析其污染特征,并采用CMAQ模型研究各类污染源对O3的贡献率。结果表明:台州市区O3年均浓度稳定,月均浓度4—10月较高,日小时浓度呈单峰型,峰值出现在13:00左右;在温度较高、相对湿度50%~80%、风速10 m/s~30 m/s、风向为偏东时O3浓度相对较高,易出现超标现象;本地排放源是O3形成的主要来源,各季节贡献率略有差异,分别为春季(7228%)、夏季(6995%)、秋季(6924%)、冬季(6628%);工艺过程源、道路移动源和居民生活源是O3 形成的3大来源,贡献率分别为2632%、1289%和991%。
英文摘要:
      The characteristics of O3 pollution in Taizhou were analyzed by the monitoring data from 2013 to 2017, and the contribution rate of each source was studied by CMAQ model. The results showed that the annual average concentration of O3 was stable in recent years. The monthly average concentration was high from April to October. The diurnal change of hourly concentration was unimodal, the peak appeared at around 13:00. The concentration was high in the conditions of high temperature, 50%~80% of relative humidity, 1.0 m/s~3.0 m/s of wind speed and easterly winds, and was easy to exceed the standard limit. O3 pollution was mainly contributed by local emissions. The contribution rate was 72.28% in spring, 69.95% in summer, 69.24% in autumn and 66.28% in winter. The three largest contributors to O3 were industrial production (26.32%), mobile source(12.89%) and domestic pollution source(9.91%).
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