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城市道路二次扬尘中PM_(10)浓度量化模型实验研究
引用本文:吴丽萍,古金霞.城市道路二次扬尘中PM_(10)浓度量化模型实验研究[J].环境科学与技术,2008,31(2):69-72,87.
作者姓名:吴丽萍  古金霞
作者单位:南开大学环境科学与工程学院,天津 300071;天津城市建设学院,天津,300384
摘    要:机动车行驶条件、路况与道路二次扬尘中PM10浓度有密切的关系。通过对它们设计正交试验和多元回归统计分析,得到PM10浓度计量模型:ρ=0.0314W0.8248v0.537q0.7021M0.357,该方程具有99%的置信度,且拟合的较好。经回归系数显著性检验,自变量对因变量的影响均极为显著,其显著性大小依次为:道路路面粉尘负荷、机动车车型、车速和车流量。最后采用实测值与模型计算值间的均方差对模型进行验证,结果表明该模型具有较高的可信度。

关 键 词:二次扬尘  正交试验  多元回归统计分析  模型
文章编号:1003-6504(2008)02-0069-05
收稿时间:2006-09-31
修稿时间:2007-06-02

Experimental Study on PM10 Concentration Calculative Model of Secondary Fugitive Dust on City Road
wu Li-ping,GU Jin-xia.Experimental Study on PM10 Concentration Calculative Model of Secondary Fugitive Dust on City Road[J].Environmental Science and Technology,2008,31(2):69-72,87.
Authors:wu Li-ping  GU Jin-xia
Abstract:Running condition of vehicles and road conditions have a close relationship with PM10 concentration in secondary fugitive dust. Based on orthogonal comparison and backward multiple regression statistical analysis, calculative model of PM10 was established, with reliability of 99% and coherence. By prominence test of regression coefficient, results indicated that the effect of independent variables to dependent variables was very significant, with the order of dust loading of road surface, type of vehicles, velocity and flux of vehicles. Validation of testing data and computation indicated that the model has a high reliability.
Keywords:secondary fugitive dust  PM10  multiple regression statistical analysis
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