A5032290989- Hydraulic flow and structures
- Hydrology and Sediment Transport Processes
- Hydrological Forecasting Using AI
- Hydrology and Watershed Management Studies
- Water Systems and Optimization
- Dam Engineering and Safety
- Water Quality Monitoring Technologies
- Soil erosion and sediment transport
- Water Quality and Pollution Assessment
- Water Quality Monitoring and Analysis
- Solar Thermal and Photovoltaic Systems
- Soil and Unsaturated Flow
- Sports, Gender, and Society
- Cavitation Phenomena in Pumps
- Problem Solving Skills Development
- Infrastructure Maintenance and Monitoring
- Sport and Mega-Event Impacts
- Statistical and Computational Modeling
- Geotechnical Engineering and Underground Structures
- Soil Moisture and Remote Sensing
- Coastal and Marine Dynamics
- Water resources management and optimization
- Groundwater and Watershed Analysis
- Solar-Powered Water Purification Methods
- Hydrology and Drought Analysis
Shahid Chamran University of Ahvaz
2013-2025
Graduate University of Advanced Technology
2015-2024
Islamic Azad University of Tabriz
2015-2023
Islamic Azad University, Tehran
2016
Shahid Bahonar University of Kerman
2011-2014
To restrict the entry of polluting components into water bodies, particularly rivers, it is critical to undertake timely monitoring and make rapid choices. Traditional techniques assessing quality are typically costly time-consuming. With advent remote sensing technologies availability high-resolution satellite images in recent years, a significant opportunity for has arisen. In this study, index (WQI) Hudson River been estimated using Landsat 8 OLI-TIRS four Artificial Intelligence (AI)...
In this paper, the neuro-fuzzy based group method of data handling (NF-GMDH) as an adaptive learning network was used to predict scour process at pile groups due waves. The NF-GMDH developed using particle swarm optimization (PSO) algorithm and gravitational search (GSA). Effective parameters on depth include sediment size, geometric property, spacing, arrangement group, wave characteristics upstream piles. Seven dimensionless were obtained define a functional relationship between input...
This study introduces a new application of GMDH in the prediction scour depth around vertical pier. Two models network were developed using genetic programming and back propagation algorithm. Genetic was performed each neuron instead performing quadratic polynomial. In second model GMDH, polynomial used as transfer function, algorithm for training network. Six effective parameters including pier diameter, flow velocity, depth, medium diameter bed material, standard deviation grain size fluid...
Pier scour phenomena in the presence of debris accumulation have attracted attention engineers to present a precise prediction local depth. Most experimental studies pier depth with been performed find an accurate formula predict However, empirical equation appropriate capacity validation is not available evaluate In this way, gene-expression programming (GEP), evolutionary polynomial regression (EPR), and model tree (MT) based formulations are used develop around bridge piers effects....
Existence of debris structures inevitably ascends the rate scour process around bridge piers and flow area not only lead into remarkable deviation but also increase velocity piers. A myriad experimental field studies to understand effective parameters on depth with effects were conducted. To reach permissible values for practical uses, relationships extracted in previous investigations suffer from lack generalization data ranges. In this way, neuro-fuzzy group method handling (NF-GMDH)-based...
Detecting effective parameters in flood occurrence is one of the most important issues that has drawn more attention recent years. Remote Sensing (RS) and Geographical Information System (GIS) are two efficient ways to spatially predict Flood Risk Mapping (FRM). In this study, a web-based platform called Google Earth Engine (GEE) (Google Company, Mountain View, CA, USA) was used obtain risk indices for Galikesh River basin, Northern Iran. With aid Landsat 8 satellite imagery Shuttle Radar...
In this research, group method of data handling (GMDH) as a one the self-organized approaches is utilized to predict three-dimensional free span expansion rates around pipeline due waves. The GMDH network developed using gene-expression programming (GEP) algorithm. way, GEP was performed in each neuron instead polynomial quadratic neuron. Effective parameters on scour include sediment size, geometry, and wave characteristics upstream pipeline. Four-dimensionless are considered input...
Abstract Riprap stones are frequently applied to protect rivers and channels against erosion processes. Many empirical equations have been proposed in the past estimate unit discharge at failure circumstance of riprap layers. However, these lack general impact due limited range experimental variables. To overcome shortcomings, support vector machine (SVM), multivariate adaptive regression splines (MARS), random forest (RF) techniques this study approach densimetric Froude number incipient...