River Flow Modelling Using Artificial Neural Network: A Case Study Of Upper Kharun Catchment In Chhattisgarh, India - Brossura
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Water is vital for life and the initial step in its management is to quantify the runoff produced in the catchment area due to rainfall. For stream flow measurement gauging of catchment is done. Because of the high cost involved in the setting up and maintenance of gauging stations, it is not possible to set up and maintain the stations over many locations for a long period of time. Thus, although many large catchments are gauged, a lot of small catchments still remain ungauged. The problem demands for modelling of stream flow. The traditional techniques of modelling not only require lengthy and reliable rainfall-runoff records, but also a procedure for updating the model parameters from time to time. Under such condition stream flow modelling is performed with reasonable accuracy by data driven artificial intelligence technique such as Artificial Neural Network. This book provides a comprehensive approach to stream flow modelling of Upper Kharun Catchment in Chhatttisgarh, India; involving two different methodologies of Artificial Neural Network. The book will be highly useful to the research scholars, academicians, hydrologists and water resources engineers.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
L'autore
Jitendra SinhaB.Tech. Agril. Engg.(Gold Medalist) JNKVV, JabalpurM.Tech. SWC Engg.,(First Class) GBPUA&T, PantnagarPhD. Soil & Water Engg.(Gold Medalist), IGKV, RaipurDr Jitendra Sinha, Scientist, SWE, Indira Gandhi Krishi Vishwavidyalaya, Raipur, India; bears 14 years of professional experience and has published more than 20 scientific papers.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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River Flow Modelling Using Artificial Neural Network
Editore:
LAP LAMBERT Academic Publishing Okt 2013, 2013
ISBN 10: 3659474835
ISBN 13: 9783659474835
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Water is vital for life and the initial step in its management is to quantify the runoff produced in the catchment area due to rainfall. For stream flow measurement gauging of catchment is done. Because of the high cost involved in the setting up and maintenance of gauging stations, it is not possible to set up and maintain the stations over many locations for a long period of time. Thus, although many large catchments are gauged, a lot of small catchments still remain ungauged. The problem demands for modelling of stream flow. The traditional techniques of modelling not only require lengthy and reliable rainfall-runoff records, but also a procedure for updating the model parameters from time to time. Under such condition stream flow modelling is performed with reasonable accuracy by data driven artificial intelligence technique such as Artificial Neural Network. This book provides a comprehensive approach to stream flow modelling of Upper Kharun Catchment in Chhatttisgarh, India; involving two different methodologies of Artificial Neural Network. The book will be highly useful to the research scholars, academicians, hydrologists and water resources engineers. 168 pp. Englisch. Codice articolo 9783659474835
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River Flow Modelling Using Artificial Neural Network
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ISBN 13: 9783659474835
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sinha JitendraJitendra SinhaB.Tech. Agril. Engg.(Gold Medalist) JNKVV, JabalpurM.Tech. SWC Engg.,(First Class) GBPUA&T, PantnagarPhD. Soil & Water Engg.(Gold Medalist), IGKV, RaipurDr Jitendra Sinha, Scientist, SWE, Indira Gandhi Kri. Codice articolo 158985958
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River Flow Modelling Using Artificial Neural Network: A Case Study Of Upper Kharun Catchment In Chhattisgarh, India
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ISBN 13: 9783659474835
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Paperback. Condizione: Brand New. 168 pages. 5.91x0.38x8.66 inches. In Stock. Codice articolo __3659474835
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River Flow Modelling Using Artificial Neural Network | A Case Study Of Upper Kharun Catchment In Chhattisgarh, India
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659474835
ISBN 13: 9783659474835
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Taschenbuch. Condizione: Neu. River Flow Modelling Using Artificial Neural Network | A Case Study Of Upper Kharun Catchment In Chhattisgarh, India | Jitendra Sinha (u. a.) | Taschenbuch | 168 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659474835 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 113179344
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River Flow Modelling Using Artificial Neural Network
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LAP LAMBERT Academic Publishing Okt 2013, 2013
ISBN 10: 3659474835
ISBN 13: 9783659474835
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Water is vital for life and the initial step in its management is to quantify the runoff produced in the catchment area due to rainfall. For stream flow measurement gauging of catchment is done. Because of the high cost involved in the setting up and maintenance of gauging stations, it is not possible to set up and maintain the stations over many locations for a long period of time. Thus, although many large catchments are gauged, a lot of small catchments still remain ungauged. The problem demands for modelling of stream flow. The traditional techniques of modelling not only require lengthy and reliable rainfall-runoff records, but also a procedure for updating the model parameters from time to time. Under such condition stream flow modelling is performed with reasonable accuracy by data driven artificial intelligence technique such as Artificial Neural Network. This book provides a comprehensive approach to stream flow modelling of Upper Kharun Catchment in Chhatttisgarh, India; involving two different methodologies of Artificial Neural Network. The book will be highly useful to the research scholars, academicians, hydrologists and water resources engineers.Books on Demand GmbH, Überseering 33, 22297 Hamburg 168 pp. Englisch. Codice articolo 9783659474835
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River Flow Modelling Using Artificial Neural Network : A Case Study Of Upper Kharun Catchment In Chhattisgarh, India
Editore:
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659474835
ISBN 13: 9783659474835
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Water is vital for life and the initial step in its management is to quantify the runoff produced in the catchment area due to rainfall. For stream flow measurement gauging of catchment is done. Because of the high cost involved in the setting up and maintenance of gauging stations, it is not possible to set up and maintain the stations over many locations for a long period of time. Thus, although many large catchments are gauged, a lot of small catchments still remain ungauged. The problem demands for modelling of stream flow. The traditional techniques of modelling not only require lengthy and reliable rainfall-runoff records, but also a procedure for updating the model parameters from time to time. Under such condition stream flow modelling is performed with reasonable accuracy by data driven artificial intelligence technique such as Artificial Neural Network. This book provides a comprehensive approach to stream flow modelling of Upper Kharun Catchment in Chhatttisgarh, India; involving two different methodologies of Artificial Neural Network. The book will be highly useful to the research scholars, academicians, hydrologists and water resources engineers. Codice articolo 9783659474835
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