Advances in Data-Based Approaches for Hydrologic Modeling and Forecasting

Summary, in English

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.

• Editor: Bellie Sivaumar; Ronny Berndtsson
• Department/s: MECW: The Middle East in the Contemporary World; Centre for Advanced Middle Eastern Studies (CMES); Division of Water Resources Engineering; LTH Profile Area: Water
• Publishing year: 2010
• Language: English
• Links: http://dx.doi.org/10.1142/7783
• Document type: Book
• Publisher: World Scientific Publishing
• Topic: Water Engineering; Other Social Sciences
• Status: Published
• ISBN/ISSN/Other: ISBN: 978-9814307970; ISBN: 9789814307987