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Article
Simulation of time-series groundwater parameters using a hybrid metaheuristic neuro-fuzzy model
The estimation of qualitative and quantitative groundwater parameters is an essential task. In this regard, artificial intelligence (AI) techniques are extensively utilized as accurate, trustworthy, and cost-e...
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Article
Extracting Optimal Rule Curve of Dam Reservoir Base on Stochastic Inflow
Declining rainfall, development of agricultural and industrial activities, population growth as well as Iran's location in arid and semi-arid regions of the planet have led to a shortage of water resources and...
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Article
A Comparative Study of Artificial Intelligence Models and A Statistical Method for Groundwater Level Prediction
Today, various methods have been developed to extract drinking water resources, which scientists use to simulate the quantitative and qualitative water resources parameters. Due to Iran's geographical and clim...
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Article
A Robust Evolutionary Design of Generalized Structure Group Method of Data Handling to Estimate Discharge Coefficient of Side Weir in Trapezoidal Channels
As one of the most applicable flow diversion structures, side weirs are utilized for adjusting and measuring the flow in the floodplain. In practice, in order to facilitate the design, the cross section of mai...
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Article
Predicting Non-deposition Sediment Transport in Clean Pipes: Assessing Heuristic Models
Sediment transport without deposition at sewer system is mandatory to find a reliable model to prevent sedimentation. A comprehensive examination of different input combinations, as well as the training model,...
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Article
A wavelet-outlier robust extreme learning machine for rainfall forecasting in Ardabil City, Iran
In this paper, the monthly long-term precipitation of the city of Ardabil from 1976 to 2020 is simulated by a modern hybrid learning machine. To this end, the Wavelet and Outlier Robust Extreme Learning Machin...
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Article
Exploring the sample size and replications scenarios effect on spatial prediction of flood, using MARS and MaxEnt methods case study: saliantape catchment, Golestan, Iran
Flood has always been a destructive natural hazard during the recent years. Hence, this research aimed to predict the potentiality and probability of flood phenomenon by using the two well-known models, i.e., ...
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Article
An integration of adaptive neuro-fuzzy inference system and firefly algorithm for scour estimation near bridge piers
In this paper, for the first time, the scour pattern around twin bridge piers was predicted using an optimized hybrid algorithm. The hybrid algorithm (ANFIS-FA) was developed through the combination of the Ada...
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Article
Generalized structure of group method of data handling to prognosticate scour around various cross-vane structures
In this study, for the first time, the scour pattern around cross-vane structures with I, U, and J shapes in bending channels is simulated by a new artificial intelligence method called “generalized structures...
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Article
Modeling long-term rainfall-runoff time series through wavelet-weighted regularization extreme learning machine
As one of the most critical points of Iran, Lake Urmia has always been subjected to ecosystem changes due to severe water level drops. Many basins serve to feed the lake, e.g. the Shaharchay River basin, locat...
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Article
A Hybrid Intelligent Model and Computational Fluid Dynamics to Simulate Discharge Coefficient of Circular Side Orifices
In this paper, a hybrid meta-heuristic artificial intelligence (AI) method, named “ANFIS–PSOGA,” is developed for modeling the discharge coefficient of circular side orifices for the first time. For this purpo...
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Article
Forecasting of Groundwater Level Using Ensemble Hybrid Wavelet–Self-adaptive Extreme Learning Machine-Based Models
Generally, the estimation and prediction of groundwater levels (GWLs) are an important challenge in the field of water resources management. In this study, for the first time, the groundwater level (GWL) of th...
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Article
Estimation of total dissolved solids, electrical conductivity, salinity and groundwater levels using novel learning machines
In this study, the groundwater parameters including electrical conductivity (EC), salinity, total dissolved solids (TDS) and groundwater level (GWL) for a 15-year time series (from 2002 to 2017) of the Mighan ...
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Article
Optimization of ANFIS Network Using Particle Swarm Optimization Modeling of Scour around Submerged Pipes
In general, submerged pipes passing over the sedimentary bed of seas are installed for transmitting oil and gas to coastal regions. The stability of submerged pipes can be threatened with waves and coastal flo...
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Article
Estimation of scour depth around cross-vane structures using a novel non-tuned high-accuracy machine learning approach
Due to the vital role of rivers and canals, the protection of their banks and beds is critically important. There are various methods for protecting beds and banks of rivers and canals in which “cross-vane str...
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Article
Open AccessSimulation of discharge coefficient of side weirs placed on convergent canals using modern self-adaptive extreme learning machine
Side weirs are broadly used in irrigation channels, drainage systems and sewage disposal canals for controlling and adjusting the flow in main channels. In this study, a new artificial intelligence model entit...
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Article
Open AccessNumerical evaluation of turbulent flow in a circular conduit along a side weir
Side weir is used as a slot in the side wall of the main channel to direct excess water that is above the weir crest. Such structures are used in control of flow level in irrigation, drainage networks and urba...
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Article
A novel approach using CFD and neuro-fuzzy-firefly algorithm in predicting labyrinth weir discharge coefficient
In this paper, for the first time, to model the discharge coefficient of labyrinth weirs, the evolutionary firefly algorithm (FFA) is used for optimizing the membership functions of the adaptive neuro-fuzzy in...
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Article
Evaluation of side orifices shape factor using the novel approach self-adaptive extreme learning machine
Generally, side orifices are used to regulate and measure the flow within open channels. In this paper, discharge coefficient of side orifices was modeled using the novel method “Self-Adaptive Extreme Learning...
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Article
A pareto design of evolutionary hybrid optimization of ANFIS model in prediction abutment scour depth
In this paper, a novel pareto evolutionary structure of adaptive neuro-fuzzy inference system (ANFIS) network is presented for abutment scour depth predicting. The genetic algorithm (GA) and singular value dec...
