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Typical weather classifications of O3pollution in Jiangsu Provinceand its relationship with meteorological factors

Received Date:2022-05-07

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    Abstract:from 2018 to 2020, the distribution characteristics of meteorological elements in ozone pollution days insummer and the ... Open+
    Abstract:from 2018 to 2020, the distribution characteristics of meteorological elements in ozone pollution days insummer and the relationship between meteorological elements and ozone concentration were analyzed.The weather situation during 2019, which was seriously polluted by ozone, was classified. The predic⁃tion regression equation between ozone concentration and meteorological elements was established. Theresults showed that the weather types causing serious ozone pollution in 2019 were mainly warm advec⁃tion type, high pressure ridge type, warm humid airflow type, subtropical high pressure controlled typeand typhoon impact type. During the pollution days in summer, ozone concentration had a strong posi⁃tive correlation with temperature and sun radiation, a weak positive correlation with wind speed, astrong negative correlation with relative humidity and a weak correlation with sea level pressure. Theranges of solar radiation high frequency, sea level pressure, air temperature, relative humidity andwind speed on ozone polluted days in summer in Jiangsu Province were 340~360 W·m-2, 1 001~1 007 hPa, 26~28 ℃, 65%~75%, 2.5~3.0 m·s-1, respectively. In order to quickly predict theozone concentration, a regression equation of the hourly average ozone concentration and the meteoro⁃365logical elements was established. Close-

    Authors:

    • LIU Yi1
    • ZHOU Derong1,2,*
    • CAI Zhe1
    • TANG Zhiwei1

    Units

    • 1.Nanjing CLIMBLUE Technology Co.,Ltd.,Nanjing 211135,China
    • 2.AtmosphericEnvironment and Green Development Research Institute,Nanjing University,Nanjing 210093,China

    Keywords

    • Ozone pollution
    • Typical weather classification
    • Meteorological elements
    • Regression analysis

    Citation

    LIU Yi, ZHOU Derong, CAI Zhe, et al. Typical weather classifications of O3pollution in Jiangsu Province and itsrelationship with meteorological factors[J]. Energy Environmental Protection, 2022, 36(5):101-107.

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