About
20
Publications
1,229
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
72
Citations
Introduction
Skills and Expertise
Publications
Publications (20)
Study region: The Karkheh Dam and its sub-basin are located in Khuzestan Province, Iran. The
Karkheh Dam has a storage capacity of 7.5 × 10^9 cubic meters and is the largest dam in Iran by
volume.
Study focus: The increasing demand for agricultural and ecological water, along with fluctuations
in dam inflows and volumes, has created significant cha...
Introduction: In recent years much attention has been paid to the environment, especially river and lake pollution. Rivers and streams are usually receiving the outlet of sewage systems which may cause pollutant levels to rise. Pollutant dispersion is a key element in water quality modeling and the longitudinal dispersion coefficient is an importan...
Transverse mixing coefficient (TMC) is known as one of the most effective parameters in the two-dimensional simulation of water pollution, and increasing the accuracy of estimating this coefficient will improve the modeling process. In the present study, genetic algorithm (GA)-based support vector machine (SVM) was used to estimate TMC in streams....
Transverse mixing coefficient (TMC) is known as one of the most effective parameters in the two-dimensional simulation of water pollution, and increasing the accuracy of estimating this coefficient will improve the modeling process. In the present study, genetic algorithm (GA)-based support vector machine (SVM) was used to estimate TMC in streams....
The Estimation of suspended sediment concentration (SSC) is an important factor in river engineering, which is used as an indicator of land-use change, water quality studies, and all projects related to constructions in rivers. In this research, the M5 model tree and the Moderate Resolution Imaging Spectroradiometer (MODIS) data were utilized to es...
Transverse mixing coefficient is one of the key elements of pollutant in two-dimensional modeling. In this study, four data-driven models, M5 model tree, multivariate adaptive regression splines (MARS), genetic algorithm (GA), and particle swarm optimization (PSO), were used to estimate the transverse mixing coefficient. For this purpose, technique...
Longitudinal dispersion coefficient (LDC) is a key element in pollutant transport modeling in streams. Several empirical and data-driven models have been proposed to evaluate this parameter. In this study, sensitivity analysis was performed on four key parameters affecting the LDC including: channel width, flow depth, mean flow velocity and shear v...
Spectral Reflectance of suspended sediment concentration (SSC) remotely sensed by satellite images is an alternative and economically efficient method to measure SSC in inland waters such as rivers and lakes, coastal waters, and oceans. This paper retrieved SSC from satellite remote sensing imagery using radial basis function networks (RBF). In-sit...
Advection-Dispersion Equation (ADE) in one-, two- or three-dimensional form is commonly used for dynamically modeling of water quality and sediment transport processes in riverine basins, estuaries and coastal waters. The numerical method used for solving this partial differential equation and the empirical coefficients which are as a main part of...
This paper describes the effect of applying the appropriate methods for estimating some empirical coefficients in the Advection-Dispersion Equation (ADE) on the accurate suspended sediment concentration predictions. In this study three existing empirical sediment discharge equations, four particles fall velocity formulas and three dispersion equati...
