Advances In Data-based Approaches For Hydrologic Modeling And Forecasting

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.