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廊坊市大气能见度与相对湿度、PM_(2.5)、PM_(10)间的关系研究

Study on the Relationship between Atmospheric Visibility and Relative Humidity,PM_(2.5)and PM_(10)in Langfang City
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摘要 为研究大气能见度与相对湿度、气溶胶浓度之间的关系,选取2019—2021年逐年逐小时的廊坊市国家气象观测站能见度、相对湿度数据以及环保局PM_(2.5)、PM_(10)数据,将其之间的关系进行量化分析。结果表明:能见度与相对湿度、PM_(2.5)、PM_(10)浓度均呈显著负相关;不同季节,大气能见度与相对湿度的非线性相关性与线性相关性差别不大,相关系数均在0.7左右,冬季相关性略高;大气能见度与PM_(2.5)的相关性均大于PM_(10);大气能见度与PM_(2.5)、PM_(10)浓度呈指数函数关系,与相对湿度呈3次方多项式关系,相关性均达0.6以上。利用相对湿度、PM_(2.5)、PM_(10)浓度分不同季节对大气能见度进行非线性拟合,并对结果进行检验,模拟能见度与实际能见度相关性达0.95,该拟合公式能较好地模拟能见度。 To study the relationship between atmospheric visibility,relative humidity and aerosol concentrations,selected the visibility and relative humidity data of Langfang National Meteorological Observatory and PM_(2.5)and PM_(10)data of Langfang Environmental Protection Bureau from 2019 to 2021,and quantitatively analyzed their relationship.The results show that visibility was negatively correlated with relative humidity,PM_(2.5)and PM_(10)concentrations.In different seasons,the nonlinear correlation and linear correlation between atmospheric visibility and relative humidity have little difference,and the correlation coefficients were all around 0.7,the correlation in winter was slightly higher.The correlation between atmospheric visibility and PM_(2.5)was greater than PM_(10);The atmospheric visibility had an exponential function relationship with PM_(2.5)and PM_(10)concentrations and a cubic polynomial relationship with relative humidity with a correlation of more than 0.6.The relative humidity,PM_(2.5)and PM_(10)concentrations were used for nonlinear fitting of atmospheric visibility in different seasons,the results were tested.The correlation between simulated visibility and actual visibility was more than 0.95,this fitting formula can simulate visibility well.
作者 张馨木 郭淑静 郭立平 张卫中 Zhang Xin-mu(Langfang Meteorological Bureau,Langfang,Hebei 065000)
机构地区 廊坊市气象局
出处 《农业灾害研究》 2023年第9期171-174,共4页 Journal of Agricultural Catastrophology
基金 廊坊市气象局项目(202210)。
关键词 能见度 相对湿度 PM_(2.5) PM_(10) 拟合 Visibility Relative humidity PM_(2.5) PM_(10) Fitting
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