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深圳市气象因素对SO2等大气污染物的影响研究 被引量:16

Effects of Meteorological Factors on SO_2 and Other Atmospheric Pollutants in Shenzhen,China
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摘要 目的探讨气象因素对大气污染物的影响及建立气象因素与大气污染物浓度关系的模型。方法收集深圳市2002—2007年气象资料(日平均气压、日最高气压、日最低气压、日气压差、日平均气温、日最高气温、日最低气温、月降雨量、日平均相对湿度、日最小相对湿度、风速)和大气污染物(SO2、NO2、PM10)浓度资料,对大气污染物浓度与气象因素进行多重线性回归分析,建立多元回归方程。结果日最小相对湿度与大气中SO2、NO2浓度呈负相关,日最低气温与大气中NO2浓度呈负相关,日平均相对湿度、风速与大气中PM10浓度成呈负相关,日气压差与大气中PM10浓度呈正相关,SO2、NO2、PM10浓度与各气象因素建立的多元回归方程模型均有统计学意义(P<0.001)。结论气象因素的变化对大气污染物浓度有一定影响,利用气象因素与大气污染物浓度的相互关系可建立反映两者内在关系的多元回归方程模型。 Objective To explore the effects of the meteorologic factors on air pollutants and to establish a model of relationship between the meteorologic factors and concentration of air pollutants. Method The data of SO2,NO2 and PM10 concentration in the air and the related meteorologic factors (daily average,maximum and minimum atmospheric pressure and daily atmospheric pressure difference,daily average,maximum and minimum air temperature,monthly rainfall,daily average and minimum relative humidity and wind speed) from January 2002 to December 2007 were collected. The correlation between the air pollutant levels and related meteorologic factors was analyzed by the multiple regression models with SPSS 11.5 software and multiple regression equations were established. Results Minimum relative humidity was negatively correlated with the concentration of SO2 and NO2 in atmosphere . Daily minimum air temperature was negatively correlated with the concentration of NO2 in atmosphere. Daily average relative humidity and wind speed were negatively correlated with the concentration of PM10 in atmosphere. Daily atmospheric pressure difference was positively correlated with the concentration of PM10 in atmosphere. Multiple regression equations of the concentration of SO2,NO2 and PM10 in atmosphere and meteorologic factors have statistical significances. Conclusion The meteorologic factors have some effects on the air pollution levels. By using the correlation of meteorologic factors and the concentration of air pollutions,multiple regression equations can be established.
出处 《环境与健康杂志》 CAS CSCD 北大核心 2008年第6期483-486,共4页 Journal of Environment and Health
基金 “国家环境与疾病监测示范点”项目
关键词 空气污染 二氧化硫 二氧化氮 可吸入颗粒物 气象因素 Air pollution Sulfur dioxide Nitrogen dioxide Inhalable particle matter Meteorological factors
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