Free delivery for orders over 69.99 euro.

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Free delivery for purchases over 69.99 €

DPD courier 5.99 € Bpost point 7.99 € Bpost 7.49 € DPD point 3.49 € GLS courier 4.99 €

Contact

How to shop

Help

My account

▸ Empty :-(

Free delivery for orders over 69.99 euro.

River Flow Modelling Using Artificial Neural Network

Name: River Flow Modelling Using Artificial Neural Network
Brand: LAP Lambert Academic Publishing
SKU: 02202131
Price: 63.94 EUR
Availability: InStock
Author: Jitendra Sinha
ISBN: 9783659474835

Jitendra Sinha

Avinash Agarwal

R. K. Sahu

Language

English

Book Paperback

Libristo code: 02202131

Publishers LAP Lambert Academic Publishing, October 2013

Water is vital for life and the initial step in its management is to quantify the runoff produced in... Full description

Libristo code: 02202131

155 b

63.94 €

In stock at our supplier Shipping in 5-8 days

Up to 30 days for returns

Customers also purchased

Tiempo de los magos, El COWELL

Paperback

26.06 €

GUIA VISUAL FRANCES CATEDRAL DE SANTIAGO

Paperback

21.61 €

Anna Karenina Lev Tolstoj

Hardback

15.14 €

Sermons pour l'année - tome 2 1 De la septuagésime à la Semaine Sainte Bernard de Clairvaux

Paperback

62.12 €

Chainsaw Man 6. Cilt - Testere Adam

Paperback

6.96 €

MUG COPPER AND GOLD BAROQUE GOLD CASTELLI

Toy

14.03 €

Das kleine Buch vom Meer: Leuchttürme Stefan Kruecken

Hardback

21.00 €

Memorias para la historia de la guerra de Tejas. of 2; Volume 1 Vicente Filisola

Paperback

27.77 €

Westermanns Familienbuch fur das gesamte geistige Leben der Gegenwart George Westermann

Paperback

37.37 €

Nueva York a diario (2010-2011) Hilario Barrero

Paperback

22.32 €

Procesos de Gestion Humana y la Estrategia Organizacional Adriana Aguilera Castro

Paperback

79.10 €

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.