期刊文献+

江苏省臭氧污染天气分型及其与气象因子的关系研究 被引量:5

Typical weather classifications of O3 pollution in Jiangsu Province and its relationship with meteorological factors
下载PDF
导出
摘要 基于2018~2020年江苏省臭氧浓度与气象要素数据,分析了夏季臭氧污染天气象要素分布特征及其与臭氧浓度之间的相关性,并对臭氧污染较为严重的2019年进行天气分型,建立了臭氧浓度与气象因子预测回归方程。结果表明:影响2019年高浓度臭氧污染的天气类型主要为暖平流型、高压脊型、暖湿气流型、副高控制型和台风影响型;夏季污染天臭氧浓度与气温、太阳辐射呈较强正相关,与风速呈较弱正相关,与相对湿度呈较强负相关,与海平面气压相关性较弱;夏季江苏省臭氧污染天的太阳辐射高频值、海平面气压、气温、相对湿度、风速的集中范围分别是340~360 W·m^(-2)、1001~1007 hPa、26~28℃、65%~75%、2.5~3 m·s^(-1);为了快速预测臭氧浓度,可利用臭氧污染天小时浓度值与气象因子建立回归方程。 Based on the data of ozone concentrations and meteorological elements in Jiangsu Province from 2018 to 2020,the distribution characteristics of meteorological elements in ozone pollution days in summer 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 prediction regression equation between ozone concentration and meteorological elements was established.The results showed that the weather types causing serious ozone pollution in 2019 were mainly warm advection type,high pressure ridge type,warm humid airflow type,subtropical high pressure controlled type and typhoon impact type.During the pollution days in summer,ozone concentration had a strong positive correlation with temperature and sun radiation,a weak positive correlation with wind speed,a strong negative correlation with relative humidity and a weak correlation with sea level pressure.The ranges of solar radiation high frequency,sea level pressure,air temperature,relative humidity and wind speed on ozone polluted days in summer in Jiangsu Province were 340~360 W·m^(-2),1001~1007 hPa,26~28℃,65%~75%,2.5~3.0 m·s^(-1),respectively.In order to quickly predict the ozone concentration,a regression equation of the hourly average ozone concentration and the meteorological elements was established.
作者 刘祎 周德荣 蔡哲 唐志伟 LIU Yi;ZHOU Derong;CAI Zhe;TANG Zhiwei(Nanjing CLIMBLUE Technology Co.,Ltd.,Nanjing 211135,China;Atmospheric Environment and Green Development Research Institute,Nanjing University,Nanjing 210093,China)
出处 《能源环境保护》 2022年第5期101-107,共7页 Energy Environmental Protection
基金 江苏省重点研发计划(社会发展)重大科技示范基金资助项目(SBE 2019710077)。
关键词 臭氧污染 天气分型 气象因子 回归分析 Ozone pollution Typical weather classification Meteorological elements Regression analysis
  • 相关文献

参考文献16

二级参考文献189

共引文献599

同被引文献64

引证文献5

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部