大气颗粒物污染的扩散条件及气象条件研究  

Diffusion and Meteorological Conditions of Atmospheric Particulate Matter Pollution

作　　者：朱翠红 刘哲 王婉 Zhu Cuihong;Liu Zhe;Wang Wan(Shandong Province Key Laboratory of Meteorological Disaster Prevention and Reduction, Jinan 250031, China;Weifang Hanting Meteorological Bureau, Weifang 261100, China)

机构地区：[1]山东省气象防灾减灾重点实验室,山东济南250031 [2]潍坊市寒亭气象局,山东潍坊261100

出　　处：《环境科学与管理》2022年第4期54-58,共5页Environmental Science and Management

基　　金：“十三五”山东重大气象工程项目(鲁发改农经〔2017〕97号);山东省气象局重点科研项目(2018sdqxz05);潍坊市气象局科研项目(2020wfqxkt05)。

摘　　要：为了研究大气颗粒物在特定气象条件下的扩散条件,文章通过对潍坊市的大气环境和气象监测数据进行分析,以潍坊市2013年12月到2018年12月气象数据与大气颗粒物数据为原始数据,使用SPSS对以上数据进行非线性回归分析,共发现30条敏感曲线,其中高信度敏感曲线20条,发现平均温度、降水量等气象因子与大气颗粒物情况存在统计学逆相关关系,气压因子与大气颗粒物情况存在统计学正相关关系,即高气压、低降水量和低气温状态容易造成较严重大气污染。In order to study the diffusion conditions of atmospheric particulate matter under specific meteorological conditions,this paper analyzes the atmospheric environment and meteorological monitoring data of Weifan by taking the meteorological data and atmospheric particulate matter data of Weifang from December 2013 to December 2018 as the original data.The study uses SPSS to carry out nonlinear regression analysis on the above data,and finds a total of 30 sensitive curves.Among them,there are 20 high reliability sensitivity curves.It is found that there is a statistical inverse correlation between meteorological factors such as average temperature and precipitation and atmospheric particulate matter.There is a statistical positive correlation between atmospheric pressure factor and atmospheric particulate matter,which is high pressure,low precipitation and low air temperature are easy to cause more serious air pollution.

关 键 词：大气颗粒物 污染 气象条件 降水量 气压 

分 类 号：X511[环境科学与工程—环境工程]