SEWER

作品数：54被引量：68H指数：4
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相关领域：自动化与计算机技术生物学更多>>
相关作者：廖丽琼罗德安谢芳安伦郭献崇更多>>
相关机构：北京建筑工程学院张家口职业技术学院广东纺织职业技术学院安阳师范学院更多>>
相关期刊：《Open Journal of Civil Engineering》《办公自动化》《Environmental Science and Ecotechnology》《Control Theory and Technology》更多>>
相关基金：国家自然科学基金中国博士后科学基金博士科研启动基金更多>>
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Ensemble and optimized hybrid algorithms through Runge Kutta optimizer for sewer sediment transport modeling using a data pre-processing approach
《International Journal of Sediment Research》2023年第6期847-858,共12页Enes Gul Mir Jafar Sadegh Safari Omer Faruk Dursun Gokmen Tayfur 
Uncontrolled sediment deposition in drainage and sewer systems raises unexpected maintenance expenditures.To this end,implementation of an accurate model relying on effective parameters involved is a reliable benchmar...
关键词：Ensemble learning Hybrid model Machine learning Open channels Sediment transport Sewer pipes 
Robust low-rank learning multi-output regression for incipient sediment motion in sewer pipes
《International Journal of Sediment Research》2023年第6期859-870,共12页Mir Jafar Sadegh Safari Shervin Rahimzadeh Arashloo 
The existing incipient sediment motion models typically apply conventional regression methods considering either velocity or shear stress.In the current study,incipient sediment motion is analyzed through a simultaneo...
关键词：Low-rank learning Multi-output regression Sediment transport Sewer flow Shear stress approach Velocity approach 
Combination of sensitivity and uncertainty analyses for sediment transport modeling in sewer pipes被引量：4
《International Journal of Sediment Research》2020年第2期157-170,共14页Isa Ebtehaj Hossein Bonakdari Mir Jafar Sadegh Safari Bahram Gharabaghi Amir Hossein Zaji Hossien Riahi Madavar Zohreh Sheikh Khozani Mohammad Sadegh Es-haghi Aydin Shishegaran Ali Danandeh Mehr 
Mitigation of sediment deposition in lined open channels is an essential issue in hydraulic engineering practice.Hence,the limiting velocity should be determined to keep the channel bottom clean from sediment deposits...
关键词：Non-deposition Sediment transport Sensitivity analysis SEWER Uncertainty analysis Urban drainage 
Evaluation of the parameters affecting the roughness coefficient of sewer pipes with rigid and loose boundary conditions via kernel based approaches被引量：2
《International Journal of Sediment Research》2020年第2期171-179,共9页Kiyoumars Roushangar Roghayeh Ghasempour Sanam Biukaghazadeh 
One of the important issues in water transport and sewer systems is determining the flow resistance and roughness coefficient.An accurate estimation of the roughness coefficient is a substantial issue in the design an...
关键词：Gaussian process regression LOOSE BED RIGID BED Roughness coefficient SEWER PIPES Support vector machine 
Estimation of bedload discharge in sewer pipes with different boundary conditions using an evolutionary algorithm被引量：2
《International Journal of Sediment Research》2017年第4期564-574,共11页Kiyoumars Roushangar Roghayeh Ghasempour 
Sediment transport is a complex phenomenon due to the nonlinearity and uncertainties of the process.The present study applies Gene Expression Programming(GEP) to develop bedload transport models in sewer pipes. In thi...
关键词：Sediment transport Loose boundary Rigid boundary Genetic expression programming Empirical equation 
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