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作 者:武安邦[1] 龙亚星[1] 黄勤 冯慧[1] 肖旭 Wu Anbang;Long Yaxing;Huang Qin;Feng Hui;Xiao Xu(Shanxi Provincal Atmospheric Detection Technical Support Center,Shanxi Xi’an 710014;Meteorological Information Center of Shanxi Province, Shanxi Xi’an 710014;Yan’an Meteorological Bureau, Shanxi Yanan 716000)
机构地区:[1]陕西省大气探测技术保障中心,陕西西安710014 [2]陕西省气象信息中心,陕西西安710014 [3]延安市气象局,陕西延安716000
出 处:《内蒙古气象》2017年第5期31-34,共4页Meteorology Journal of Inner Mongolia
基 金:陕西省气象局科学技术研究项目(2016Y-12)资助
摘 要:为分析延安市能见度与相对湿度、气溶胶质量浓度的关系,利用2016年延安大气成分站PM_(2.5)、PM_(10)和国家基本气象站相对湿度、能见度观测资料,对能见度与相对湿度、PM_(2.5)和PM_(10)的关系进行分析。结果表明:全年能见度与相对湿度的线性相关系数最高,与PM_(10)次之;随相对湿度的增大,能见度明显降低。相对湿度<50%时,能见度与PM_(2.5)的非线性相关性高于与PM_(10)的相关性;相对湿度>50%时,能见度与PM_(10)的非线性相关性则较PM_(2.5)好。相较于线性拟合方法,能见度与相对湿度的非线性拟合公式能更好地表现二者的关系。利用相对湿度、PM_(2.5)和PM_(10)观测数据对能见度做多元非线性拟合,检验结果表明,计算得出的拟合公式能较好地模拟延安市能见度的变化规律。Based on the PM2.5,PM10data which come from atmospheric component station and relative humidity(RH),visibility observation data which come from national basic meteorological station in2016,the relationship between visibility and RH,PM2.5and PM10were analyzed.The results indicate that the linear correlation coefficient between the annual visibility and RH is the highest and that that between concentration between PM10ranks second.The visibility decreased with the increase of RH.When RH is less than50%,the nonlinear correlation between visibility and PM2.5is higher than that of PM10.While RH is greater than50%,the nonlinear correlation between visibility and PM10is more than that of PM2.5.Compared with the linear fitting method,the nonlinear fitting formula of the visibility and RH can better express the relationship between them.Using RH,PM2.5and PM10observation data to make multiple non-linear fitting of visibility,the test results show that the calculated fitting formula can better simulate the change regularity of Yan’an visibility.
关 键 词:能见度 相对湿度 PM2.5 PM10 非线性关系
分 类 号:X531[环境科学与工程—环境工程]
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