4.6 Article

Sediment transport modeling in non-deposition with clean bed condition using different tree-based algorithms

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Civil

Experimental analysis for self-cleansing open channel design

Mir Jafar Sadegh Safari et al.

Summary: This study conducted experiments in various cross-section channels and proposed self-cleaning models for each channel type, addressing deficiencies in traditional designs. By incorporating a cross-section shape factor, a general self-cleaning model was developed to calculate flow velocity under non-deposition conditions, showing superior performance when compared to alternatives using experimental and literature data.

JOURNAL OF HYDRAULIC RESEARCH (2021)

Article Engineering, Civil

Weighted instances handler wrapper and rotation forest-based hybrid algorithms for sediment transport modeling

Katayoun Kargar et al.

Summary: Sediment transport modeling is crucial in water resources and environmental engineering, with self-cleansing methods widely used to reduce pollution caused by sediment deposition. This study developed various models to simulate sediment transport under different conditions, with hybrid WIHW-RT and WIHW-RF models showing the best performance. The findings suggest that hybrid data mining methods provide more precise estimations compared to regression equations and standalone models, offering potential solutions for hydrological problems.

JOURNAL OF HYDROLOGY (2021)

Article Environmental Sciences

Reservoir Sediment Management Using Artificial Neural Networks: A Case Study of the Lower Section of the Alpine Saalach River

Markus Reisenbuechler et al.

Summary: Reservoir sedimentation is a global issue affecting storage capacity and efficiency, with drawdown flushing as a management tool that should be optimized for effectiveness. This study proposes an innovative predictive model based on artificial neural networks for sediment volume removal, with potential applications as a decision-support system for hydropower operators in real-world scenarios.
Article Environmental Sciences

Combination of sensitivity and uncertainty analyses for sediment transport modeling in sewer pipes

Isa Ebtehaj et al.

INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH (2020)

Article Engineering, Environmental

Non-deposition self-cleansing models for large sewer pipes

Carlos Montes et al.

WATER SCIENCE AND TECHNOLOGY (2020)

Article Engineering, Environmental

New formulations for prediction of velocity at limit of deposition in storm sewers based on a stochastic technique

Ali Tafarojnoruz et al.

WATER SCIENCE AND TECHNOLOGY (2020)

Article Engineering, Environmental

Self-cleansing design of sewers: Definition of the optimum deposited bed thickness

Mir Jafar Sadegh Safari et al.

WATER ENVIRONMENT RESEARCH (2019)

Article Environmental Sciences

Multigene genetic programming for sediment transport modeling in sewers for conditions of non-deposition with a bed deposit

Mir Jafar Sadegh Safari et al.

INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH (2018)

Review Engineering, Civil

Experimental Studies of Self-Cleansing Drainage System Design: A Review

Mir Jafar Sadegh Safari et al.

JOURNAL OF PIPELINE SYSTEMS ENGINEERING AND PRACTICE (2018)

Article Engineering, Civil

Application of model tree and Evolutionary Polynomial Regression for evaluation of sediment transport in pipes

Mohammad Najafzadeh et al.

KSCE JOURNAL OF CIVIL ENGINEERING (2017)

Article Environmental Sciences

Toward multi-day-ahead forecasting of suspended sediment concentration using ensemble models

Mohamad Javad Alizadeh et al.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2017)

Article Environmental Sciences

Estimation of bedload discharge in sewer pipes with different boundary conditions using an evolutionary algorithm

Kiyoumars Roushangar et al.

INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH (2017)

Article Engineering, Civil

Non-deposition self-cleansing design criteria for drainage systems

Mir-Jafar-Sadegh Safari et al.

JOURNAL OF HYDRO-ENVIRONMENT RESEARCH (2017)

Article Engineering, Civil

Application of a Neuro-Fuzzy GMDH Model for Predicting the Velocity at Limit of Deposition in Storm Sewers

Mohammad Najafzadeh et al.

JOURNAL OF PIPELINE SYSTEMS ENGINEERING AND PRACTICE (2017)

Article Engineering, Civil

New Approach to Estimate Velocity at Limit of Deposition in Storm Sewers Using Vector Machine Coupled with Firefly Algorithm

Isa Ebtehaj et al.

JOURNAL OF PIPELINE SYSTEMS ENGINEERING AND PRACTICE (2017)

Article Water Resources

Assessment of evolutionary algorithms in predicting non-deposition sediment transport

Isa Ebtehaj et al.

URBAN WATER JOURNAL (2016)

Article Engineering, Mechanical

A combined support vector machine-wavelet transform model for prediction of sediment transport in sewer

Isa Ebtehaj et al.

FLOW MEASUREMENT AND INSTRUMENTATION (2016)

Article Computer Science, Artificial Intelligence

ANFIS-based approach for predicting sediment transport in clean sewer

H. Md Azamathulla et al.

APPLIED SOFT COMPUTING (2012)

Article Engineering, Civil

Gene-Expression Programming for Sediment Transport in Sewer Pipe Systems

Aminuddin Ab Ghani et al.

JOURNAL OF PIPELINE SYSTEMS ENGINEERING AND PRACTICE (2011)

Article Water Resources

Non-deposition design criteria for sewers with part-full flow

Natchapon Vongvisessomjai et al.

URBAN WATER JOURNAL (2010)

Article Engineering, Civil

Self-cleansing sewer design based on sediment transport principles

D Butler et al.

JOURNAL OF HYDRAULIC ENGINEERING (2003)

Article Engineering, Civil

Urban storm sewer design: Approach in consideration of sediments

JJ Ota et al.

JOURNAL OF HYDRAULIC ENGINEERING-ASCE (2003)

Article Engineering, Civil

Validation of existing bed load transport formulas using in-sewer sediment

R De Sutter et al.

JOURNAL OF HYDRAULIC ENGINEERING-ASCE (2003)