Описание: Looks at the advances in data-based approaches for hydrologic modeling and forecasting. In this book, eight major and most popular approaches are selected, with a chapter for each, which includes stochastic methods, parameter estimation techniques, scaling and fractal methods, remote sensing, artificial neural networks, and evolutionary computing.
Описание: This volume provides a comprehensive review of the effects of climate variability on hydrological and human systems in the Holocene (last 10, 000 years), with a view to predicting similar effects in the future. It will be of value to researchers and professionals in hydrology, climatology, geology and historical geography.
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