Advances In Data-based Approaches For Hydrologic Modeling And Forecasting
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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Advances In Data-based Approaches For Hydrologic Modeling And Forecasting
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.
196.0
In Stock
5
1
Advances In Data-based Approaches For Hydrologic Modeling And Forecasting
544
Advances In Data-based Approaches For Hydrologic Modeling And Forecasting
544Hardcover
$196.00
196.0
In Stock
Product Details
| ISBN-13: | 9789814307970 |
|---|---|
| Publisher: | World Scientific Publishing Company, Incorporated |
| Publication date: | 08/10/2010 |
| Pages: | 544 |
| Product dimensions: | 6.20(w) x 9.10(h) x 1.30(d) |
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