不同影响因子对滨州低能度影响的相关性分析

Correlation Analysis of Influence Factors on Low Visibility in Binzhou

为研究不同影响因子与滨州低能见度之间的相关性,特选取滨州市6个典型地区在2018年冬季对空气进行采样分析。研究结果表明:大气中的颗粒物(PM2.5、PM10)与大气污染物(SO2、NO2、CO、O3)的日平均浓度大多数与能见度呈线性负相关,只有O3呈正相关,SO2没有明显的线性关系。就气象因子而言,温度、风速与能见度有明显的正相关,相对湿度与大气能见度呈正相关。经分析得出PM2.5、O3、风速、相对湿度是滨州冬季霾天气大气能见度降低的主要影响因子。

In order to study the correlation between different impact factors and low visibility in Binzhou,six typical areas in binzhou were selected for air sampling and analysis in the winter of 2017.The results show that the daily average concentration of atmospheric particulate matter (PM2.5、PM10) and atmospheric pollutants (SO2、NO2、CO、O3) is linearly and negatively correlated with visibility in most cases,while O3 is positively correlated with SO2.In terms of meteorological factors,temperature,wind speed and visibility have obvious positive correlation,and relative humidity and atmospheric visibility have positive correlation.According to the analysis,PM2.5,O3,wind speed and relative humidity are the main influencing factors for the reduction of atmospheric visibility in Binzhou in winter haze weather.