Sediment transport models in river basins have been developed over the years for various temporal and spatial scales. However, yet few reported small-scale catchment still under investigation by many researchers. In this paper, a distributed model based on process was presented evaluating transportation of sediment small scale. The integration hydrological simulate soil erosion sedimentation pr...

Abstract This study presents a coupled invasive weed optimization-adaptive neuro fuzzy inference system method to simulate physical habitat in streams. We implement proposed Lar national park Iran as one of the habitats Brown trout southern Caspian Sea basin. Five indices consisting root mean square error (RMSE), absolute (MAE), reliability index, vulnerability index and Nash–Sutcliffe model ef...

Models have become important decision making aids. Model evaluation (i.e., global sensitivity analysis, calibration and uncertainty analysis), is crucial to improve their prediction accuracy and reduce the likelihood of making decisions that could lead to undesirable policy outcomes. The conventional approach assumes that model parameters are insensitive to season irrespective of the temporal v...

In this study lake levels of Lake Tana are simulated at daily time step by solving the water balance for all inflow and outflow processes. Since nearly 62% of the Lake Tana basin area is ungauged a regionalisation procedure is applied to estimate lake inflows from ungauged catchments. The procedure combines automated multi-objective calibration of a simple conceptual model and multiple regressi...

The objective of this work is to model simulation data a dust devils in Comsol using neuro-fuzzy methods (ANFIS: Adaptive Neuro Fuzzy Inference Systems) and perceptron neural networks. Since the number simulations performed was insufficient, we used Spline function increase amount data. results show that more effective than obtained models are excellent, with Nash -Sutcliffe criterion value abo...

We introduce a new diagnosis tool that is well suited to analyzing simulation results over large samples of watersheds. It consists modification the classical Taylor diagram simultaneously visualize several error components (based on bias, standard deviation or squared errors) are commonly used in efficiency criteria (such as Nash–Sutcliffe (NSE) Kling–Gupta (KGE)) evaluate hydrological model p...

The proportion of agricultural water consumption is continuously decreasing due to increased competition for resources by urban, industrial, and users. Drip irrigation more efficient in terms energy utilization. These considerations are critical view the ongoing struggle among various consumers scarcity. Some most criteria effective design maintenance drip systems shape size volume wet soil ben...

A variety of hydrological models is currently available. Many those employ physically based formulations to account for the complexity and spatial heterogeneity natural processes. In turn, they require a substantial amount data, which may not always be available at sufficient quality. Recently, top-down approach distributed rainfall-runoff modelling has been developed, aims combining accuracy s...