Abstract:
Using the atmospheric particulate matter concentration and meteorological data in Yinchuan from 2013 to 2014,the distribution characteristics of atmospheric particulate matter concentration and their relationships with meteorological conditions were analyzed.The results show that the mean annual concentrations of PM
10,PM
2.5 and PM
1 are 167.3 μg·m
-3,67.2 μg·m
-3 and 45.0 μg·m
-3,and the mean annual values of PM
2.5/PM
10,PM
1/PM
10 and PM
1/PM
2.5 are 45.0%,32.0% and 65.0%,respectively.The maximum concentration of PM
10 occurs in March,and the minimum one in August.The maximum concentrations of PM
2.5 and PM
1 occur in January,and the minimum ones of PM
2.5 and PM
1 occur in August and May,respectively.From March to May,the lowest values of PM
2.5/PM
10,PM
1/PM
10 and PM
1/PM
2.5 occur in a year.For different weather conditions,the order of PM
10 concentration from high to low is raising-sand/floating-dust,average of typical weathers,haze,fine day and fog.The situation for PM
2.5 is raising-sand/floating-dust,haze,average of typical weathers,fine day and fog.The case for PM
1 is haze,average of typical weathers,fine day,raising-sand/floating-dust.There is a positive correlation between wind speed and PM
10 concentration,and negative correlations of wind speed with PM
2.5 and PM
1 concentrations.When the wind direction is north-west,the concentration of PM
10 is higher.When it is south-west and north-east,the concentrations of PM
2.5 and PM
1 are higher.There are significant negative correlations of air temperature with the concentrations of PM
10,PM
2.5 and PM
1.Relative humidity has a significant negative correlation with PM
10 concentration,and a strong positive correlation with PM
1 concentration,while a weak correlation with PM
2.5 concentration.The influence of air pressure on the PM
10 concentration is small,while there are positive correlations of it with the concentrations of PM
2.5 and PM
1.The cleaning effect of precipitation on PM
10 is the strongest,followed in PM
2.5,and it basically has no impact on PM
1.