ADVANCES IN DATA-BASED APPROACHES FOR HYDROLOGIC MODELING AND FORECASTING
edited by Bellie Sivakumar (The University of New South Wales, Sydney, Australia & University of California, Davis, USA)
&
Ronny Berndtsson (Lund University, Sweden)
Table of Contents (75k)
Preface (62k)
Chapter 1: Setting the Stage (158k)
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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