-基于Copula函数的方法
Study on the Correlation of "Fog and Haze" Weather in Beijing and Shijiazhuang: Based on Gopula Function
吴海平WU Hai-ping;李士森LI Shi-sen;孔晓芳KONG Xiao-fang
(石家庄铁路职业技术学院,石家庄050041)
( Shijiazhuang Institute of Railway Technology , Shijiazhuang 050041,China
摘要:运用Copula函数研究北京和石家庄与雾霾相关的空气污染物的相关特征,通过平方欧式距离检验,认为应该利用GumbelCopula函数对数据进行拟合,PM10.SO,与NO。的Kendall秩相关系数分别为0.62.0.52和0.5，上尾相关系数分别为0.60.0.69和0.58,而下尾相关系数均为0,污染物的传播表现出显著的非对称性,即某地空气污染严重时会带动另一个地区污染物的上升,但一个地区良好的空气质量却不能引起另一个城市污染物的下降。
Abstract:The Copula function is used to study the correlation characteristics of air polutants related to smog in Beijing andShijiazhuang. Through the square European distance test, it is believed that the Gumbel Copula function should be used to fit the data.TheKendll rank corelation coeficients of PM10,SO. and NO。 are 0.62, 0.52 and 0.5 respectively, the upper tail correlation coeficients are0.60, 0.69 and 0.58 respectively, and the lower tail corelation coeicients are 0. The propagation of polutants shows significant asymmetry,That is, when the air pollution in one place is serious, it will drive the increase of polutants in another area, but the good air quality in onearea cannot cause the decline of pollutants in another city.
关键词:“雾霾”污染;空间相关性;Copula函数
Key words: haze pollution; correlation; Copula function
价值工程-文章出处：吴海平,李士森,孔晓芳.京石两地“雾霾”天气的相关性研究——基于Copula函数的方法[J].价值工程,2023,42(21):93-95. |
