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)
Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=45305#.VL3_GSzQrzE Author(s) Ali Haghizadeh , Leila Soleimani , Hossein Zeinivand Affiliation(s) 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 . ABSTRACT Determination of the infiltration rate in a watershed is not easy and in empirical and theoretical point of view, it is important to access average value of infiltration. Infiltration models has main role in managing water sources. Therefore different types of models with various degrees of complexity were developed to reach this aim. Most of the estimating methods of soil infiltration are expensive and time consuming and thes...