2013-2020年京津冀地区臭氧浓度变化及其与气象因子关系分析OACSTPCD
Analysis of ozone concentration variations and their relationships with meteorological factors in the Beijing-Tianjin-Hebei region from 2013 to 2020
选用2013-2020 年京津冀地区近地面臭氧浓度日最大 8h滑动平均值及同期大气再分析资料,应用经验正交函数和奇异值分解方法,对该地区近地面臭氧浓度变化、典型模态臭氧浓度空间分布及其与主要气象因子的关系进行分析.结果表明:京津冀近地面臭氧浓度整体呈上升趋势,2017-2019 年臭氧浓度显著增大,空间分布为南高北低.经验正交函数第一模态特征表明,京津冀地区近地面臭氧浓度具有空间变化一致性,以保定、石家庄、衡水和沧州交界区域的臭氧浓度变化最明显.臭氧浓度日最大8h滑动平均值与15:00 的气温和经向风速均呈正相关,与该时刻的相对湿度呈负相关,相关关系均为京津冀南部地区最显著.
Using the daily maximum 8-hour moving average values of near-surface ozone concentration data from 2013 to 2020 in the Beijing-Tianjin-Hebei region and concurrent atmospheric reanalysis data,this study employs Empirical Orthogonal Functions(EOF)and Singular Value Decomposition(SVD)techniques to analyze the vari-ations in near-surface ozone concentrations,the typical spatial distribution of ozone modal concentrations,and their relationships with major meteorological factors.The results indicate that the near-surface ozone concentration in the Beijing-Tianjin-Hebei region overall shows an increasing trend,with significant increases noted from 2017 to 2019,exhibiting a spatial distribution pattern of higher concentrations in the south and lower in the north.The first mode of the EOF reveals consistent spatial variability in near-surface ozone concentrations across the region,with the most significant changes observed in the areas around the junctions of Baoding,Shijiazhuang,Hengshui,and Cang-zhou.The daily maximum 8-hour moving average values of ozone concentration are positively correlated with the temperature at 15:00 and the meridional wind speed,and negatively correlated with the relative humidity at the same time,with these correlations being most significant in the southern part of the Beijing-Tianjin-Hebei region.
胡艳楠;李文星;张智;焦亚音
河北省信息工程学校,河北保定 071000||河北省气象与生态环境重点实验室,河北石家庄 050021河北省信息工程学校,河北保定 071000河北省气象灾害防御和环境气象中心,河北石家庄 050021
环境科学
污染日经验正交函数奇异值分解
Pollution dayEmpirical Orthogonal Function(EOF)Singular Value Decomposition(SVD)
《气象与环境学报》 2024 (004)
90-99 / 10
河北省气象局科研项目(20ky29)资助.
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