River Flow Modelling Using Artificial Neural Network: A Case Study Of Upper Kharun Catchment In Chhattisgarh, India - Couverture souple

Sinha, Jitendra; Agarwal, Avinash; Sahu, R. K.

 
9783659474835: River Flow Modelling Using Artificial Neural Network: A Case Study Of Upper Kharun Catchment In Chhattisgarh, India
Couverture souple
ISBN 10 : 3659474835 ISBN 13 : 9783659474835
Editeur : LAP LAMBERT Academic Publishing, 2013

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2013
Langue
anglais
ISBN 10 
3659474835
ISBN 13 
9783659474835
Reliure
Broché
Nombre de pages
168
Coordonnées du fabricant
non disponible
Personne responsable
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