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Iterative classifier optimizer-based pace regression and random forest hybrid models for suspended sediment load prediction
(Springer, 2021-03)
Suspended sediment load is a substantial portion of the total sediment load in rivers and plays a vital role in determination of the
service life of the downstream dam. To this end, estimation models are needed to compute ...
Regression models for sediment transport in tropical rivers
(Springer, 2021-05)
The investigation of sediment transport in tropical rivers is essential for planning effective integrated river basin management to
predict the changes in rivers. The characteristics of rivers and sediment in the tropical ...
Weighted instances handler wrapper and rotation forest-based hybrid algorithms for sediment transport modeling
(Elsevier, 2021-07)
Sediment transport modeling has been known as an essential issue and challenging task in water resources and environmental engineering. In order to minimize the adverse impacts of the continues sediment deposition that is ...
Weighted instances handler wrapper and rotation forest-based hybrid algorithms for sediment transport modeling
(Elsevier, 2021)
Sediment transport modeling has been known as an essential issue and challenging task in water resources and environmental engineering. In order to minimize the adverse impacts of the continues sediment deposition that is ...
Discharge coefficient for vertical sluice gate under submerged condition using contraction and energy loss coefficients
(Elsevier, 2021)
A novel method is suggested for the determination of flow discharge in vertical sluice gates with considerably small bias. First, in order to derive an equation for the discharge coefficient, energy-momentum equations are ...
Sediment transport modeling in open channels using neuro-fuzzy and gene expression programming techniques
(Water Science and Technology, 2019)
Deposition of sediment is a vital economical and technical problem for design of sewers, urban drainage, irrigation channels and, in general, rigid boundary channels. In order to confine continuous sediment deposition, ...
Decision tree (DT), generalized regression neural network (GR) and multivariate adaptive regression splines (MARS) models for sediment transport in sewer pipes
(Water Science and Technology, 2019)
Sediment deposition in sewers and urban drainage systems has great effect on the hydraulic capacity of the channel. In this respect, the self-cleansing concept has been widely used for sewers and urban drainage systems ...
Multiple genetic programming: a new approach to improve genetic-based month ahead rainfall forecasts
(Environmental Monitoring and Assessment, 2020)
It is well documented that standalone machine learning methods are not suitable for rainfall forecasting in long lead-time horizons. The task is more difficult in arid and semiarid regions. Addressing these issues, the ...
Self-cleansing design of sewers: Definition of the optimum deposited bed thickness
(Water Environment Research, 2019)
Sediment deposits may influence the performance of the sewer systems. Sediments are the main store of pollutants which causes sewer systems overflows. In order to prevent the deposition of sediment in sewer systems, ...
Urmia lake water depth modeling using extreme learning machine-improved grey wolf optimizer hybrid algorithm
(Springer, 2021)
Lake water level changes are relatively sensitive to the climate-born events that rely on numerous phenomena, e.g., surface soil type, adjacent groundwater discharge, and hydrogeological situations. By incorporating the ...
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