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饱和砂卵石介质渗透系数线性预报模型研究
引用本文:张明斌,樊贵盛,邢日县. 饱和砂卵石介质渗透系数线性预报模型研究[J]. 灌溉排水学报, 2012, 31(6): 35-37,63
作者姓名:张明斌  樊贵盛  邢日县
作者单位:1. 太原理工大学环境科学与工程学院,太原030024 山西省农田节水技术开发服务推广站,太原030002
2. 太原理工大学环境科学与工程学院,太原030024 太原理工大学水利科学与工程学院,太原030024
3. 太原理工大学环境科学与工程学院,太原,030024
基金项目:基金项目:山西省水资源管理办公室资助项目
摘    要:以黄河中游段河床自然堆积砂砾石堆积体为研究对象,通过室内不同粒径特征混合体的系统渗流试验,探讨了砂卵石的粒径组成特征对渗透系数的影响,建立了以有效粒、限制粒径、不均匀系数和曲率系数为自变量的渗透系数线性预报模型。结果表明,砂卵石的渗透系数可用多元线性回归模型进行预测。回归模型及自变量对预测量的影响均显著,模型预测值与实测值平均相对误差为12.39%。

关 键 词:砂卵石介质  粒径特征  渗透系数  预报模型

Linear Prediction Model of Permeability Coefficient of the Saturated Sandy Gravel Medium
Affiliation:ZHANG Ming-bin1a,2,FAN Gui-sheng1a,1b,XIN Ri-xian1a(1.Taiyuan University of Technology,a.College of Environmental Science and Engineering; b.College of Water Conservancy Science and Engineering,Taiyuan 030024,China; 2.Shanxi Station for Developing and Popularizing Farmland Water Conservation Technique,Taiyuan 030002,China)
Abstract:Taking the sand gravel piled up naturally in the river bed in the middle reaches of the Yellow River as the subject,indoor experiments on the systematic seepage flow of diversified grain sizes mixture were carried out to study the effects of the grain size characteristics of sandy gravel on permeability coefficient,and linear prediction model of permeability coefficient was established with the effective grain size,restriction grain size,coefficient of uniformity and coefficient of curvature as independent variables.The results indicated that the permeability coefficient of sandy gravel could be predicted by the diverse linear regression model.Regression model and independent variables had great influence on the prediction,and the average error between the model prediction and actually measured data was 12.39%.
Keywords:sandy gravel medium  grain size characteristics  permeability coefficient  forecast model
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