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作 者:张剑[1] 刘红年[1] 唐丽娟[2] 朱焱[2] 周志恩[3] 蒋维楣[1]
机构地区:[1]南京大学大气科学学院,江苏南京210093 [2]苏州市气象局,江苏苏州215131 [3]重庆市环境科学研究院,重庆401147
出 处:《环境科学研究》2011年第9期982-987,共6页Research of Environmental Sciences
基 金:国家重点基础研究发展计划(973)项目(2010CB428501);苏州市气象局重点支持项目(SZ200901)
摘 要:利用苏州市2009年9月─2010年5月的颗粒物(包括黑碳,PM2.5和PM10)质量浓度、能见度、相对湿度、风速、风向、气温等观测资料,分析了苏州城区能见度与颗粒物质量浓度及气象要素的相关关系.结果表明:ρ(黑碳),ρ(PM2.5)和ρ(PM10)与能见度的r(相关系数)分别为-0.465,-0.359和-0.238,这3种颗粒物中,能见度与ρ(黑碳)的相关性最显著.当相对湿度≤60%时,ρ(黑碳),ρ(PM2.5)和ρ(PM10)与能见度的r分别为-0.675,-0.411和-0.364.相对湿度较低时,颗粒物与能见度相关性较好.能见度与温度、风速的r分别为0.132和0.188,与相对湿度的r为-0.632.用颗粒物质量浓度和气象要素建立的能见度多元线性回归模型效果不好,在该模型基础上用ρ(黑碳),ρ(PM10)和相对湿度建立了能见度的多元二次回归模型,R(复相关系数)达到0.865,R2(复决定系数)达到0.749.Data of particulate mass concentration,including black carbon(BC),PM2.5 and PM10,were analyzed together with surface meteorological factors in Suzhou,China,from September 2009 to May 2010.We conducted correlation analysis between visibility and particulate mass concentration,as well as meteorological elements including relative humidity,wind speed,wind direction and air temperature.The results indicated that visibility was negatively correlated with mass concentration of BC,PM2.5 and PM10,with correlation coefficients of-0.465,-0.359 and-0.238,respectively.Under low relative humidity(≤60%) conditions,the correlation coefficients were-0.675,-0.411 and-0.364,respectively.The correlation coefficients between visibility and air temperature,wind velocity and relative humidity were 0.132,0.188 and-0.632,respectively.A linear regression model based on BC,PM10 and relative humidity was built,though the result was not good enough.Based on the linear model,we built a more complicated regression model,in which the multiple correlation coefficient was 0.865 and the coefficient of determination was 0.749.
分 类 号:X513[环境科学与工程—环境工程]
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