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Advances in data-based approaches fo...

Berndtsson, Ronny, (1956)

Advances in data-based approaches for hydrologic modeling and forecasting

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in data-based approaches for hydrologic modeling and forecastingBellie Sivakumar, Ronny Berndtsson.
Author:	Sivakumar, Bellie.
other author:	Berndtsson, Ronny,
Published:	Singapore ;World Scientific Pub. Co.,c2010.
Description:	xxi, 519 p. :ill. (some col.)
Subject:	Hydrologic modelsCongresses.
Online resource:	http://www.worldscientific.com/worldscibooks/10.1142/7783#t=toc
ISBN:	9789814307987 (electronic bk.)

Advances in data-based approaches for hydrologic modeling and forecasting
Sivakumar, Bellie.

Advances in data-based approaches for hydrologic modeling and forecasting[electronic resource] /Bellie Sivakumar, Ronny Berndtsson. - Singapore ;World Scientific Pub. Co.,c2010. - xxi, 519 p. :ill. (some col.)

Includes bibliographical references and index.

This book comprehensively accounts the advances in data-based approaches for hydrologic modeling and forecasting. Eight major and most popular approaches are selected, with a chapter for each - stochastic methods, parameter estimation techniques, scaling and fractal methods, remote sensing, artificial neural networks, evolutionary computing, wavelets, and nonlinear dynamics and chaos methods. These approaches are chosen to address a wide range of hydrologic system characteristics, processes, and the associated problems. Each of these eight approaches includes a comprehensive review of the fundamental concepts, their applications in hydrology, and a discussion on potential future directions

Electronic reproduction.
Singapore :
World Scientific Publishing Co.,
2010.

System requirements: Adobe Acrobat Reader.

ISBN: 9789814307987 (electronic bk.)Subjects--Topical Terms:

436318
Hydrologic models
--Congresses.

LC Class. No.: GB656.2.H9

Dewey Class. No.: 551.480113

Advances in data-based approaches for hydrologic modeling and forecasting
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504 $a Includes bibliographical references and index.
520 $a This book comprehensively accounts the advances in data-based approaches for hydrologic modeling and forecasting. Eight major and most popular approaches are selected, with a chapter for each - stochastic methods, parameter estimation techniques, scaling and fractal methods, remote sensing, artificial neural networks, evolutionary computing, wavelets, and nonlinear dynamics and chaos methods. These approaches are chosen to address a wide range of hydrologic system characteristics, processes, and the associated problems. Each of these eight approaches includes a comprehensive review of the fundamental concepts, their applications in hydrology, and a discussion on potential future directions
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