By Bellie Sivakumar, Ronny Berndtsson
This ebook comprehensively money owed the advances in data-based methods for hydrologic modeling and forecasting. 8 significant and preferred ways are chosen, with a bankruptcy for every -- stochastic equipment, parameter estimation suggestions, scaling and fractal equipment, distant sensing, synthetic neural networks, evolutionary computing, wavelets, and nonlinear dynamics and chaos equipment. those ways are selected to deal with quite a lot of hydrologic procedure features, methods, and the linked difficulties. every one of those 8 techniques features a accomplished evaluate of the elemental recommendations, their purposes in hydrology, and a dialogue on strength destiny instructions.
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Extra resources for Advances in Data-Based Approaches for Hydrologic Modeling and Forecasting
Another possible means may be by coupling wavelets with other methods that can represent, at least to a certain degree, the physical relationships. The literature on wavelets in hydrology provides good indications as to the positive direction in which we are moving. Chapter 8 (by Labat) presents an excellent account of wavelets and their applications in hydrology (and in earth sciences). Hydrologic phenomena are inherently nonlinear and interdependent, and also possess hidden determinism and order.
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V. Klemeŝ, J. , 1 (1983). B. B. Mandelbrot, The Fractal Geometry of Nature (W. H. Freedman and Company, New York, 1983). S. Lovejoy and B. B. Mandelbrot, Tellus, 209 (1985). J. C. I. Dooge, Water Resour. , 46S (1986). Setting the Stage 13 65. D. Schertzer and S. Lovejoy, J. Geophys. , 9693 (1987). 66. S. W. Wheatcraft and S. W. Tyler, Water Resour. , 566 (1988). 67. R. Ababou and L. W. Gelhar, in Dynamics of Fluids in Hierarchical Porous Media (Academic Press, San Diego, California, 1990), p. 393.
Advances in Data-Based Approaches for Hydrologic Modeling and Forecasting by Bellie Sivakumar, Ronny Berndtsson