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基于质地的土壤水分特征曲线参数非线性预测

舒凯民 樊贵盛

人民黄河2016,Vol.38Issue(7):138-141,145,5.
人民黄河2016,Vol.38Issue(7):138-141,145,5.DOI:10.3969/j.issn.1000-1379.2016.07.035

基于质地的土壤水分特征曲线参数非线性预测

The Nonlinear Prediction of Soil Water Characteristic Curve Parameters Based on the Soil Texture

舒凯民 1樊贵盛1

作者信息

  • 1. 太原理工大学,山西 太原030024
  • 折叠

摘要

Abstract

Based on the series of indoor soil water characteristic curve of different soil texture in Loess Plateau region, the research discussed whether the Van Genuchten model was suitable for soil water characteristic curve,and especially analyzed the nonlinear prediction of Van Genuchten model parameters which based on soil texture. The results show that Van Genuchten model is suitable to fit different soil texture of Loess Plateau region, and the square of correlation coefficient(R2) is bigger than 0.97,so it has a very good fitting effect to different soil texture;the more the content of clay in soil, the stronger the ability of holding soil water, and the soil water characteristic curve is more steep, especially at low suction range which the suction is less than 1 000 cm, the experimental phenomena is more obvious, however, sand content in soil shows a opposite nature compared with clay; by using RETC software, the research conducts nonlinear prediction for two empirical parameters nandαof Van Genuchten model based on soil texture and establishes the nonlinear prediction model, at the same time, the complex correlation coefficient( R2 ) of model is bigger than 0.96, moreover, the relative error of parameters between measured value and predicted value are about 10 percent, so the nonlinear prediction model is reliable and has a accurate prediction function.

关键词

土壤水分特征曲线/土壤质地/Van Genuchten经验模型/非线性预测/RETC

Key words

soil water characteristic curve/soil texture/Van Genuchten model/nonlinear prediction/RETC

分类

农业科技

引用本文复制引用

舒凯民,樊贵盛..基于质地的土壤水分特征曲线参数非线性预测[J].人民黄河,2016,38(7):138-141,145,5.

基金项目

国家自然科学基金资助项目(40671081);山西省地面灌溉节水技术参数手册研编项目(2015-JS-1)。 ()

人民黄河

OA北大核心CSTPCD

1000-1379

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