图书简介
One of the greatest problems hydrology research faces today is how to quantify uncertainty, which is inherent in every hydrological process. This overview of uncertainty techniques places a great deal of emphasis on non-orthodox concepts, such as random fields, fractals and fuzziness.
List of authors; Preface; Part I. Introduction: 1. Hydrological uncertainty in perspective; Part II. Facets of Uncertainty: 2. Bayesian relative information measure - a tool for analysing the outputs of general circulation models; 3. A stochastic weather generator using atmospheric circulation patterns and its use to evaluate climate change effects; 4. Hydrological uncertainty - floods of Lake Eyre; 5. Some aspects of hydrological design under non-stationarity; 6. New plotting position rule for flood records considering historical data and palaeologic information; Part III. Novel Approaches to Uncertainty: Fractals, Fuzzy Sets and Pattern Recognition, Non-Parametric Methods: 7. Dispersion in stratified soils with fractal permeability distribution; 8. Multifractals and rain; 9. Is rain fractal?; 10. Multifractal structure of rainfall occurrence in West Africa; 11. Analysis of high-resolution rainfall data; 12. Application of fuzzy theory to snowmelt runoff; 13. On the value of fuzzy concepts in hydrology and water resources management; 14. Application of neural network in groundwater remediation under conditions of uncertainty; 15. Application of pattern recognition to rainfall-runoff analysis; 16. Nonparametric estimation of multivariate density and nonparametric regression; 17. Nonparametric approach to design flood estimation with pre-gauging data and information; Part IV. Random Fields: 18. Analysis of regional drought characteristics with empirical orthogonal functions; 19. Worth of radar data in real-time prediction of mean areal rainfall by nonadvective physically-based models; 20. Uncertainty analysis in radar-rainfall estimation; 21. Design of groundwater monitoring networks for landfills; 22. Spatial variability of evaporation from the land surface - random initial conditions; 23. Detecting outliers in flood data with geostatistical methods; Part V. Time Series and Stochastic Processes: 24. Prediction uncertainty in seasonal partial duration series; 25. A daily streamflow model based on a jump-diffusion process; 26. The influence of time discretization on inferred stochastic properties of point rainfall; 27. The distribution of the 1-day total precipitation amount; 28. Analysis of outliers in Norwegian flood data; 29. Stochastic modelling of the operation of hydrants in an irrigation network; 30. Order and disorder in hydroclimatological processes; 31. Towards the physical structure of river flow stochastic process; Part VI. Risk, Reliability and Related Criteria: 32. Stochastic approach to non-point pollution of surface waters; 33. Statistically safe sets methodology for optimal management of reservoirs in risk situations; 34. Risk assessment in control of reservoir systems; 35. Reliability-related criteria in water supply system studies; 36. Reliability analysis of reservoir operation; 37. Composite risk model of Ogee type spillway.
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