摘要
利用天津市东丽区各街道的12个环境监测站2016年1月~2018年12月的逐小时、逐日、逐月数据,以及同一时期东丽国家一般气象站的相对湿度、日照时数、风速、最高气温数据,分析了东丽区各主要街道PM2.5、PM10浓度的日、月、季变化特征。通过相关分析方法研究了气象要素与PM2.5和PM10浓度及气象要素与污染物浓度超标的关系,评估了气象要素对PM2.5、PM10浓度的影响。基于逐步多元线性回归方法建立了各气象要素和PM2.5、PM10浓度的多元线性回归模型。
The hourly,daily and monthly data from 12 environmental monitoring stations in various streets in Dongli District of Tianjin from January 2016 to December 2018,and the relative humidity,sunshine hours,wind speed and maximum temperature data from Dongli National General Meteorological Station during the same period were used to analyze the daily,monthly and seasonal variations of PM2.5 and PM10 concentrations in the main streets of Dongli District.The relationship between various meteorological elements and the concentrations of PM2.5 and PM10 and pollutant concentration exceeding standard was studied based on the correlation analysis method,and the impact of meteorological elements on the concentrations of PM2.5 and PM10 was evaluated.Based on the stepwise multiple linear regression method,multiple linear regression models between each meteorological element and the concentrations of PM2.5 and PM10 were established.
作者
李明聪
杨妍辰
姜皓严
LI Mingcong;YANG Yanchen;JIANG Haoyan(Dongli Meteorological Bureau,Tianjin 300300,China)
出处
《天津科技》
2020年第2期31-38,共8页
Tianjin Science & Technology
基金
天津市气象局区县专项“东丽区主要污染物浓度时空变化特征及气象影响要素分析”(201810qxzx03)