Journal of Water Resource and Protection
Vol.6 No.5(2014), Paper ID 45305, 8
pages
DOI:10.4236/jwarp.2014.65047
Optimization of the Conceptual Model of Green-Ampt Using Artificial Neural Network Model (ANN) and WMS to Estimate Infiltration Rate of Soil (Case Study: Kakasharaf Watershed, Khorram Abad, Iran)
Ali Haghizadeh, Leila Soleimani, Hossein Zeinivand
Department of Watershed Management Engineering, Faculty of Agriculture, Lorestan University,
Khorramabad, Iran
Department of Watershed Management Engineering, Faculty of Agriculture, Lorestan University,
Khorramabad, Iran
Department of Watershed Management Engineering, Faculty of Agriculture, Lorestan University,
Khorramabad, Iran
Copyright © 2014 Ali Haghizadeh, Leila Soleimani, Hossein Zeinivand et al. This is
an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
How to Cite this Article
Haghizadeh, A. , Soleimani, L. and Zeinivand, H. (2014) Optimization of the Conceptual Model of Green-Ampt Using Artificial Neural Network Model (ANN) and WMS to Estimate Infiltration Rate of Soil (Case Study: Kakasharaf Watershed, Khorram Abad, Iran).
Journal of Water Resource and Protection,
6, 473-480. doi:
10.4236/jwarp.2014.65047.