The management of sediments in river basins and waterways has been an important issue for water managers throughout history. Water Engineers and managers are faced with similar challenges caused by siltation of water reservoirs and irrigation water conveyance systems. As a copping strategy to counter the low irrigation application efficiency, designs of settling tanks are typically oversized. This is aimed at having enough detention time for the sediment particles to settle. This process is costly and tedious hence this book is aimed at optimizing the hydraulic design parameters for settling basins with an intention of addressing such challenges. Artificial Neural Networks in MATLAB was used to build ANN models for predicting sediment settlement and eventually optimizing the hydraulic parameters of settling basins. The ANN was used to develop the relation between sediment settlement and different inflows by changing the different number of neurons in hidden layer. The developed simulated results were evaluated using recommended quantitative statistical analysis that compared the measured and the predicted data.
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Eng.Patrick Namu holds a Bachelor Degree in Agricultural Engineering, A Master’s degree in Construction Engineering & Management and a Postgraduate diploma in Project management. He has published three academic papers in International peer reviewed journals. He is registered as a professional Engineer (EBK) and a member of IEK and KSAE in Kenya.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The management of sediments in river basins and waterways has been an important issue for water managers throughout history. Water Engineers and managers are faced with similar challenges caused by siltation of water reservoirs and irrigation water conveyance systems. As a copping strategy to counter the low irrigation application efficiency, designs of settling tanks are typically oversized. This is aimed at having enough detention time for the sediment particles to settle. This process is costly and tedious hence this book is aimed at optimizing the hydraulic design parameters for settling basins with an intention of addressing such challenges. Artificial Neural Networks in MATLAB was used to build ANN models for predicting sediment settlement and eventually optimizing the hydraulic parameters of settling basins. The ANN was used to develop the relation between sediment settlement and different inflows by changing the different number of neurons in hidden layer. The developed simulated results were evaluated using recommended quantitative statistical analysis that compared the measured and the predicted data. 124 pp. Englisch. N° de réf. du vendeur 9786133999541
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Paperback. Etat : Brand New. 124 pages. 8.66x5.91x0.28 inches. In Stock. N° de réf. du vendeur zk6133999543
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The management of sediments in river basins and waterways has been an important issue for water managers throughout history. Water Engineers and managers are faced with similar challenges caused by siltation of water reservoirs and irrigation water conveyance systems. As a copping strategy to counter the low irrigation application efficiency, designs of settling tanks are typically oversized. This is aimed at having enough detention time for the sediment particles to settle. This process is costly and tedious hence this book is aimed at optimizing the hydraulic design parameters for settling basins with an intention of addressing such challenges. Artificial Neural Networks in MATLAB was used to build ANN models for predicting sediment settlement and eventually optimizing the hydraulic parameters of settling basins. The ANN was used to develop the relation between sediment settlement and different inflows by changing the different number of neurons in hidden layer. The developed simulated results were evaluated using recommended quantitative statistical analysis that compared the measured and the predicted data.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch. N° de réf. du vendeur 9786133999541
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The management of sediments in river basins and waterways has been an important issue for water managers throughout history. Water Engineers and managers are faced with similar challenges caused by siltation of water reservoirs and irrigation water conveyance systems. As a copping strategy to counter the low irrigation application efficiency, designs of settling tanks are typically oversized. This is aimed at having enough detention time for the sediment particles to settle. This process is costly and tedious hence this book is aimed at optimizing the hydraulic design parameters for settling basins with an intention of addressing such challenges. Artificial Neural Networks in MATLAB was used to build ANN models for predicting sediment settlement and eventually optimizing the hydraulic parameters of settling basins. The ANN was used to develop the relation between sediment settlement and different inflows by changing the different number of neurons in hidden layer. The developed simulated results were evaluated using recommended quantitative statistical analysis that compared the measured and the predicted data. N° de réf. du vendeur 9786133999541
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Taschenbuch. Etat : Neu. Optimizing Hydraulic Design parameters for Irrigation Settling Basin | Predicting settlement for discrete particles in settling basins for irrigation systems | Patrick Namu (u. a.) | Taschenbuch | 124 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786133999541 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 110970862
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