Mohamed H. Elgamal

A Hydraulically Informed ANN Surrogate Framework for Nonlinear Open-Channel Flow Analysis

Open-channel hydraulic analysis often requires repeated solution of implicit nonlinear equations and numerical integration of gradually varied flow (GVF), which can become computationally demanding in inverse, optimization, and sensitivity applications. This study develops a hydraulically informed artificial neural net...

Assessing the reliability of remote sensing-based evapotranspiration models for enhanced water management under center-pivot irrigation system in arid region. Case study: East Oweinat, Egypt