SciELO - Scientific Electronic Library Online

 
vol.45 issue3The role of water conservation strategies and benchmark ecotopes for increasing yields in South Africa's semi-arid croplandsExperimental investigation of time-dependent local scour downstream of a stepped channel author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Article

Indicators

Related links

  • On index processCited by Google
  • On index processSimilars in Google

Share


Water SA

On-line version ISSN 1816-7950
Print version ISSN 0378-4738

Abstract

DEWIDAR, Ahmed Z; AL-GHOBARI, Hussein  and  ALATAWAY, Abed. Developing a fuzzy logic model for predicting soil infiltration rate based on soil texture properties. Water SA [online]. 2019, vol.45, n.3, pp.400-410. ISSN 1816-7950.  http://dx.doi.org/10.17159/wsa/2019.v45.i3.6737.

The prediction of the soil infiltration rate is advantageous in hydrological design, watershed management, irrigation, and other agricultural studies. Various techniques have been widely used for this with the aim of developing more accurate models; however, the improvement of the prediction accuracy is still an acute problem faced by decision makers in many areas. In this paper, an intelligent model based on a fuzzy logic system (FLS) was developed to obtain a more accurate predictive model for the soil infiltration rate than that generated by conventional methods. The input variables that were considered in the fuzzy model included the silt and clay contents. The developed fuzzy model was tested against both the observed data and multiple linear regression (MLR). The comparison of the developed fuzzy model and MLR model indicated that the fuzzy model can simulate the infiltration process quite well. The coefficient of determination, root mean square error, mean absolute error, model efficiency, and overall index of the fuzzy model were 0.953, 1.53, 1.28, 0.953, and 0.954, respectively. The corresponding MLR model values were 0.913, 2.37, 1.92, 0.913, and 0.914, respectively. The sensitivity results indicated that the clay content is the most influential factor when the FLS-based modelling approach is used for predicting the soil infiltration rate.

Keywords : FLS; infiltration rate; MLR; modelling; sensitivity analysis.

        · text in English     · English ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License