空气污染物浓度变化特征与气象因子的相关性建模研究  

Correlation Modeling between Air Pollutant Concentration Variation Characteristics and Meteorological Factors

作　　者：刘青[1] 李典[1] 王立为[2] 徐亚琪 吴宇童 Liu Qing;Li Dian;Wang Liwei;Xu Yaqi;Wu Yutong(Shenyang Meteorological Bureau of Liaoning Province,Shenyang 110168,China;College of Agriculture,Shenyang Agricultural University,Shenyang 110166,China;Yingkou Meteorological Bureau,Yingkou 115000,China)

机构地区：[1]辽宁省沈阳市气象局,辽宁沈阳110168 [2]沈阳农业大学农学院,辽宁沈阳110166 [3]营口市气象局,辽宁营口115000

出　　处：《环境科学与管理》2021年第4期136-140,共5页Environmental Science and Management

基　　金：中国气象局沈阳大气环境研究所开放基金课题资助(2018SYIAE04)。

摘　　要：由于空气污染物浓度较高,导致能见度降低,因此进行了空气污染物浓度变化特征与气象因子的相关性建模研究。利用广义灰色关联度理论获取空气污染物浓度变化特征和影响空气质量的最佳气象因子。通过对大气NO_(2)与气温、露点、湿度、气压、风速等气象因子实施相关分析。结果表明,NO_(2)浓度与所有气象因子均具有显著相关性。根据污染物日均数据,通过因子分析和多元回归建立了NO_(2)日均浓度预测模型,得出影响NO_(2)日平均浓度的主要气象因子是风速、湿度和温度。High concentration of air pollutants reduces the visibility,so the correlation modeling between the variation characteristics of air pollutant concentration and meteorological factors is studied.Based on the generalized grey correlation theory,the variation characteristics of air pollutant concentration and the best meteorological factors affecting air quality are obtained.The correlation analysis were conducted between atmospheric NO_(2)and temperature,dew point,humidity,air pressure,wind speed and other meteorological factors.The results showed that NO_(2)concentration had significant correlation with all meteorological factors.According to the daily average data of pollutants,the prediction model of NO_(2)daily average concentration was established by factor analysis and multiple regression.The main meteorological factors influencing NO_(2)daily average concentration were wind speed,humidity and temperature.

关 键 词：污染物浓度 气象因子 灰色关联度 日均数据 浓度预测模型 

分 类 号：X51[环境科学与工程—环境工程]