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宿州市某城区PM_(2.5)污染特征及影响因素 被引量:2

Characteristics and Influencing Factors of PM_(2.5) Pollution in a Certain Zone of Suzhou City
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摘要 为准确分析宿州市某城区PM_(2.5)污染特征及与气象因素的关系,利用2015~2020a宿州市某城区环境监测站污染物数据和气象站数据,运用统计分析、逐步回归分析和相关分析等方法进行分析。结果表明:PM_(2.5)浓度具有明显年变化特征。PM_(2.5)年平均浓度自2017a后逐年下降,2020a较2017a下降34.41%。但2020a PM_(2.5)年平均浓度超标率仍达52%,污染依然严峻。PM_(2.5)浓度具有明显的季节性特征,大体呈冬季>秋季>春季>夏季。2015~2020a春季和夏季下降趋势明显。冬季始终处于高值且近年来略呈上升趋势。月均浓度则呈双峰单谷的“V”型分布,12月和1月污染最为严重。降水对PM_(2.5)污染有显著的清洗作用。当降水量超过3~6mm时对PM_(2.5)清洗作用较强。全年PM_(2.5)浓度主要受日平均气温影响。春季受日平均相对湿度影响较为明显。夏季主要受日平均相对湿度影响。秋季主要受日平均气温影响。冬季主要受日平均气压影响,其次受日平均风速影响。 In order to accurately analyze the characteristics of PM_(2.5) pollution and its relationship with meteorological factors in a certain zone of Suzhou city,the data of pollutant from environmental monitoring station and meteorological station of its certain city zone from 2015 to 2020 were analyzed with the methods of Statistical analysis,stepwise regression analysis and correlation analysis.The result shows as follows.The concentration of PM_(2.5) has obvious characteristics of annual changes.The annual average concentration of PM_(2.5) has declined year by year since 2017,and in 2020 it is 34.41%lower than that in 2017.However,in 2020,the annual average concentration of PM_(2.5) still exceeds 52%,and pollution is still severe.The PM_(2.5) concentration has obvious seasonal characteristics,generally in the range of winter>autumn>spring>summer.There is a clear downward trend in the spring and summer of 2015~2020.Winter has always been at a high value and has shown a slight upward trend in recent years.The monthly average concentration showed a“V”-shaped distribution of double peaks and single valleys,with the most serious pollution in December and January.Precipitation has a significant cleaning effect on PM_(2.5) pollution.When the precipitation exceeds 3~6mm,it has a stronger cleaning effect on PM_(2.5).The annual PM_(2.5) concentration is mainly affected by the daily average temperature.The influence of daily average relative humidity in spring is more obvious.Summer is mainly affected by the daily average relative humidity.Autumn is mainly affected by the daily average temperature.Winter is affected mainly by the daily average air pressure and partly by the daily average wind speed.
作者 陈伟 陈景 孟雅婷 张振宇 CHEN Wei;CHEN Jing;MENG Yating;ZHANG Zhenyu(Meteorological Disaster Prevention Technology Center of Suzhou Meteorological Bureau,Suzhou Anhui 234000,China;Department of Computer Information, Suzhou Vocational and Technical College, Suzhou Anhui 234000,China;Meteorological Observatory of Suzhou Meteorological Bureau, Suzhou Anhui 232001,China)
出处 《安徽理工大学学报(自然科学版)》 CAS 2022年第1期26-33,共8页 Journal of Anhui University of Science and Technology:Natural Science
关键词 PM_(2.5) 气象因素 逐步回归分析 相关分析 PM_(2.5) meteorological factors stepwise regression analysis related analysis
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