In this research, soft computational models including multiple adaptive spline regression model (MARS) and data group classification model (GMDH) were used to estimate the geometric dimensions of stable alluvial channels including channel surface width (w), flow depth (h), and longitudinal slope (S) and the results of the developed models were compared with the multilayer neural network (MLP) m...

Alluvial fans are one of the most important of types of geomorphic landforms in mountainous regions, especially in dry and semi-dry region, which flow processes create them with reducing the slope and opening the valley after leaving the mountain.This study investigate the effects of geographic directions on the dimensions of alluvial fans in down streams in Shirkouh Mountain in the central par...

    Sediment transport is one of the important indicators of rivers in natural conditions, which is affected by the change in geometric and flow characteristics, and is reflected in the alignment or sedimentation of different river routes. Therefore, providing suitable solutions for sediment control and fixing the longitudinal slope of the substrate and preventing sediment transport from upstre...

In this research, a regression model was introduced to study the mechanisms of the formation of gullies in the Quri Chay watershed, northern Ardebil province (Moghan Plain); this was done through investigating the effective factors of geo-environment and soil characteristics on the gully erosion. For this purpose, 17 gullies were randomly assigned through field surveys. Mapping and recording th...

Modernization of irrigation canals as an operation improvement tool is essential to promote the performance of canal networks and indeed requires control systems. Proportional integral derivative (PID) algorithms have more applications than the other controllers in different places of the world, but tuning these controllers for different hydraulic conditions of canals is considered as a major p...