An Experimental Study on Soil Water Infiltration Equations Based on the Information Entropy Method

FENG Xue1; ZHANG Kan1; LI Bo2; YAO Mingze2

doi:10.13870/j.cnki.stbcxb.2017.02.011

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An Experimental Study on Soil Water Infiltration Equations Based on the Information Entropy Method

更新时间：2024-11-07

- An Experimental Study on Soil Water Infiltration Equations Based on the Information Entropy Method
- Vol. 31, Issue 2, Pages: 57-60(2017)
- 作者机构：
  
  1. 沈阳农业大学理学院,沈阳,110866
  2. 沈阳农业大学水利学院,沈阳,110866
- 作者简介：
- 基金信息：
- DOI：10.13870/j.cnki.stbcxb.2017.02.011
  CLC： S152.7
- Published：2017
- 稿件说明：
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FENG Xue1, ZHANG Kan1, LI Bo2, et al. An Experimental Study on Soil Water Infiltration Equations Based on the Information Entropy Method[J]. 2017, 31(2): 57-60.
DOI：

FENG Xue1, ZHANG Kan1, LI Bo2, et al. An Experimental Study on Soil Water Infiltration Equations Based on the Information Entropy Method[J]. 2017, 31(2): 57-60. DOI： 10.13870/j.cnki.stbcxb.2017.02.011.

摘要

对沙壤土、黏壤土进行水分入渗试验，确定4种熵方程（E-Horton、E-Kostiakov、E-Philip、E-Green-Ampt）系数并标定了一般方程（Horton、Kostiakov、Philip、Green-Ampt）系数。根据所得到的方程计算相应的入渗率，并与试验观测数据进行比较。结果表明：在沙壤土中，E-Horton、E-Kostiakov、E-Philip方程能较好地反映土壤水分入渗规律，E-Green-Ampt方程高估了土壤水分入渗率。在黏壤土中，4种熵方程拟合效果均较差。与一般方程比较，基于信息熵方法的土壤水分入渗方程更适于沙质土壤，因为该方法不需要标定方程的参数，简便可行，而且较好地反映了参数的物理意义，为优化灌溉提供理论依据。

Abstract

Based on the water infiltration experiments of sandy loam and clay loam soil

we determined the coefficients of entropy equations (E-Horton

E-Kostiakov

E-Philip

E-Green-Ampt) and general equations (Horton

Kostiakov

Philip

Green-Ampt). Infiltration rates were calculated from these equations

and compared with the data obtained by experimental observations. The results showed that E-Horton

E-Kostiakov

and E-Philip equations were suitable to fit soil water infiltration rates

and that E-Green-Ampt equation over-estimated soil water infiltration rates in sandy loam soil. However

these entropy equations were not suitable to fit infiltration rates in clay loam soil. Compared with the general equations

the entropy equations were more suitable to study infiltration rates in sandy loam soil. Since the entropy equations do not need any calibration parameters

they are feasible to reflect the physical meaning of the parameters and provide a theoretical basis for the optimization of irrigation.

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Related Institution

College of Soil and Water Conservation Science and Engineering （Institute of Soil and Water Conservation），Northwest A&F University， Yangling

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