银川地区大气颗粒物浓度变化特征及其与气象条件的关系

doi:10.3969/j.issn.1673-503X.2016.06.008

Abstract

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 PM₁₀,PM_2.5 and PM₁ 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/PM₁₀,PM₁/PM₁₀ and PM₁/PM_2.5 are 45.0%,32.0% and 65.0%,respectively.The maximum concentration of PM₁₀ occurs in March,and the minimum one in August.The maximum concentrations of PM_2.5 and PM₁ occur in January,and the minimum ones of PM_2.5 and PM₁ occur in August and May,respectively.From March to May,the lowest values of PM_2.5/PM₁₀,PM₁/PM₁₀ and PM₁/PM_2.5 occur in a year.For different weather conditions,the order of PM₁₀ 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 PM₁ is haze,average of typical weathers,fine day,raising-sand/floating-dust.There is a positive correlation between wind speed and PM₁₀ concentration,and negative correlations of wind speed with PM_2.5 and PM₁ concentrations.When the wind direction is north-west,the concentration of PM₁₀ is higher.When it is south-west and north-east,the concentrations of PM_2.5 and PM₁ are higher.There are significant negative correlations of air temperature with the concentrations of PM₁₀,PM_2.5 and PM₁.Relative humidity has a significant negative correlation with PM₁₀ concentration,and a strong positive correlation with PM₁ concentration,while a weak correlation with PM_2.5 concentration.The influence of air pressure on the PM₁₀ concentration is small,while there are positive correlations of it with the concentrations of PM_2.5 and PM₁.The cleaning effect of precipitation on PM₁₀ is the strongest,followed in PM_2.5,and it basically has no impact on PM₁.

Key words: Atmospheric Particulates, Meteorological Condition, Correlation Analysis, Cleaning effect

CLC Number:

GOU Xiao-hui, YAN Xiao-yu, LIU Yu-lan, SANG Jia-ren. Characteristics of atmospheric particulate and their relationships with meteorological conditions in Yinchuan area[J]. Journal of Meteorology and Environment, 2016, 32(6): 58-68.

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URL: http://www.jme1984.net.cn/EN/10.3969/j.issn.1673-503X.2016.06.008

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Characteristics of atmospheric particulate and their relationships with meteorological conditions in Yinchuan area

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