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Reflects more current U.S. disaster statistics and provides a breakdown of these statistics by geographic region, thus giving decision-makers a fiscally-sound basis for setting priorities and proceeding with a planned nationwide implementation of the Advanced Hydrologic Prediction Service (AHPS).
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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 fund
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Reflects more current U.S. disaster statistics and provides a breakdown of these statistics by geographic region, thus giving decision-makers a fiscally-sound basis for setting priorities and proceeding with a planned nationwide implementation of the Advanced Hydrologic Prediction Service (AHPS).
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This book simplifies atmospheric predictions to enable laypeople to make their own derivative forecasts. Scientists and engineers can learn to predict weather-dependent phenomena to assess the risks associated with decisions in the construction and operation phases of water resources planning. This self-educating method simultaneously uses probabilistic meteorology forecasts over different time scales, time periods, spatial domains, probability statements, and meteorology variables. This practical, hands-on guide presents comprehensive and straightforward theory, procedures, and examples for using short-term, seasonal, and interannual forecasts of meteorology probabilities, which are available from the National Oceanic and Atmospheric Administration, Environment Canada, and other agencies. The examples use different hydrology models and employ both user-defined and agency-produced meteorology probability forecasts in the United States and Canada. The examples also illustrate El Nino and La Nina conditional probabilities and examples of their derivation, as well as provide sufficient information for the reader's own applications. An extensive appendix describes the acquisition, installation, and use of freely available software to prepare historical files for individualized applications, to input forecast meteorology probabilities of a specific site, to extract reference quantile estimates, to prioritize forecasts, and to solve the resulting set of equations for derivative forecasts.
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Hydrological forecasting. --- Hydrology --- Mathematical models.
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Flood forecasting. --- Floods --- Hydrological forecasting --- Forecasting
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Flood forecasting. --- Floods --- Hydrological forecasting --- Forecasting
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