文献类型：期刊文章

作　　者：杨宁[1] 冀德刚[1] 李双金[2]

机构地区：[1]河北农业大学理学院数学系,河北保定071001 [2]河北农业大学现代科技学院,河北保定071001

出　　处：《Agricultural Science & Technology》

基　　金：河北农业大学大学生科技创新基金(cxzr2014023);河北农业大学理工基金重点项目(ZD201406)~~

年　　份：2015

卷　　号：16

期　　号：3

起止页码：590-592

语　　种：中文

收录情况：CAB、CAS、CSA、CSA-PROQEUST、PROQUEST、普通刊

摘　　要：Based on the analysis of monitoring data on six pollution indexes of SO2, NO2, CO, O3, PM10 and PM2.5 from 53 monitoring points in 7 cities, including Beijing, Tianjin, Shijiazhuang, etc., from April 8 of 2014 to July 23 of 2014, this article adopted Pearson correlation coefficient method to determine the relevance among each pollutant of these cities with the help of SPSS. The results showed that such three leading indexes as SO2, PM10 and PM2.5 had strong correlation in Beijing, Tianjin and main cities of Hebei. Finally, some suggestions and preventive measures for the cooperative governance of air pollution in Beijing-Tianjin-Hebei Region were put forward, hoping this can help them.

关 键 词：Pearson  Correlation coefficient  Linear interpolation  Monitoring indicators  Air quality  

分 类 号：X831]