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。
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.
出处
《环境科学与技术》
CAS
CSCD
北大核心
2008年第2期69-72,87,共5页
Environmental Science & Technology
关键词
二次扬尘
正交试验
多元回归统计分析
模型
secondary fugitive dust
PM10
multiple regression statistical analysis
