摘要
依据聚类分析、通径分析及面板数据原理,利用2017.5.1-2020.4.30期间山东省6个沿海城市空气污染物和气象因子12个因素共78912个连续观测数据,定量分析了降水等因素对PM_(2.5)浓度的影响.结果表明:其他空气污染物是导致PM_(2.5)浓度升高的根本原因;气象因素对PM_(2.5)浓度的影响相对较小;气象因素中降水对降低空气中M_(2.5)的浓度起着一定的作用,其中降水对青岛、烟台和日照的PM_(2.5)浓度的影响较潍坊、东营和滨州的PM_(2.5)浓度的影响更明显;降水量越多,PM_(2.5)浓度的降低越明显.
In this work,78,912 continuous observation data of precipitation,other 12 factors containing air pollutants and meteorological factors were used.These data include the meteorology of 6 coastal cities in ShanDong province while times span is 3 years,from January 1,2017 to April 30,2020.The influence of precipitation as well as other factors on PM_(2.5)concentration was quantitatively analyzed via both cluster analysis and panel data.The results showed that other air pollutants are the primary cause which result in the increase of PM_(2.5)concentrations.By contract,meteorological factors have less effect on PM_(2.5)concentration.Among meteorological factors,precipitation plays an dominant role in reducing the PM_(2.5) concentrations in the air.Moreover,the effect shows especially obviously in Qingdao,Yantai and Rizhao compared with that in Weifang,Dongying and Binzhou.The more precipitation increases,the more the PM_(2.5)concentration decreases.
作者
张一
郭金禄
郑煜
ZHANG Yi;GUO Jin-lu;ZHENG Yu(Northeast Forestry University,College of Science,Harbin 150040,China)
出处
《数学的实践与认识》
2021年第20期45-54,共10页
Mathematics in Practice and Theory
基金
黑龙江省自然科学基金面上项目(G2016001)。
作者简介
通信作者:郑煜。
