A GIS-ANN-Based Approach for Enhancing the Effect of Slope in the Modified Green-Ampt Model

Mohammad Dorofki, Ahmed H. Elshafie, Othman Jaafar, Othman A. Karim, Sharifah Mastura Syed Abdullah

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Most infiltration models survey infiltration in large scale regions using an assumption that the slope of the ground is equal to zero. The Modified Green and Ampt model is one of a few infiltration models that considers slope as an input parameter in its formulation. Here, using artificial neural networks in a raster-based design, basic research is presented regarding the effect of surface slope on infiltration. For the investigation, three catchments with different areas and slopes were selected as case studies, based on existing runoff stations in the upstream region of the Johor River Basin in southern Malaysia. In this research, the efficiency of six different functions was studied in order to determine the best performer for slope in the Modified Green and Ampt model. We also sought to find the most suitable ANN transfer function for infiltration calculations. By calculating runoff for each pixel, accumulation maps were used for corroborating the suitability of the obtained results. The results indicated that the Log-sigmoid was the most appropriate transfer function. We also determined that using the exponential form for the slope in the Modified Green and Ampt model formulation was more accurate, as compared to the original linear shape.

Original languageEnglish
Pages (from-to)391-406
Number of pages16
JournalWater Resources Management
Volume28
Issue number2
DOIs
Publication statusPublished - Jan 2014

Fingerprint

Infiltration
Geographic information systems
GIS
infiltration
Runoff
Catchments
Transfer functions
transfer function
runoff
raster
artificial neural network
Rivers
Pixels
effect
pixel
Neural networks
river basin
catchment

Keywords

  • Artificial neural networks
  • Geographic information system
  • Malaysia
  • Modified green and Ampt model
  • Rainwater infiltration
  • Surface slope

ASJC Scopus subject areas

  • Water Science and Technology
  • Civil and Structural Engineering

Cite this

A GIS-ANN-Based Approach for Enhancing the Effect of Slope in the Modified Green-Ampt Model. / Dorofki, Mohammad; Elshafie, Ahmed H.; Jaafar, Othman; A. Karim, Othman; Syed Abdullah, Sharifah Mastura.

In: Water Resources Management, Vol. 28, No. 2, 01.2014, p. 391-406.

Research output: Contribution to journalArticle

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