New Uncertainty Concepts in Hydrology and

One of the greatest problems hydrology research faces is how to quantify uncertainty, which is inherent in every hydrological process. This overview of uncertainty emphasizes non-orthodox concepts, such as random fields, fractals and fuzziness. This book reviews alternative and conventional methods of risk and uncertainty representation in hydrology and water resources. The water-related applications discussed in the book pertain to areas of strong interest, such as multifractals and climate change impacts. The authors represent a variety of research backgrounds, achieving a broad subject coverage. The material covered provides an important insight into theories of uncertainty related to the field of hydrology. The book is international in its scope, and will be welcomed by researchers and graduate students of hydrology and water resources.

List of authors
Preface
Introduction
Hydrological uncertainty in perspective
Facets of Uncertainty
Bayesian relative information measure - a tool for analysing the outputs of general circulation models
A stochastic weather generator using atmospheric circulation patterns and its use to evaluate climate change effects
Hydrological uncertainty - floods of Lake
Some aspects of hydrological design under non-stationarity
New plotting position rule for flood records considering historical data and palaeologic information
Novel Approaches to Uncertainty: Fractals, Fuzzy Sets and Pattern Recognition, Non-Parametric Methods
Dispersion in stratified soils with fractal permeability distribution
Multifractals and rain
Is rain fractal?
Multifractal structure of rainfall occurrence in West Africa
Analysis of high-resolution rainfall data
Application of fuzzy theory to snowmelt runoff
On the value of fuzzy concepts in hydrology and water resources management
Application of neural network in groundwater remediation under conditions of uncertainty
Application of pattern recognition to rainfall-runoff analysis
Nonparametric estimation of multivariate density and nonparametric regression
Nonparametric approach to design flood estimation with pre-gauging data and information
Random Fields
Analysis of regional drought characteristics with empirical orthogonal functions
Worth of radar data in real-time prediction of mean areal rainfall by nonadvective physically-based models
Uncertainty analysis in radar-rainfall estimation
Design of groundwater monitoring networks for landfills
Spatial variability of evaporation from the land surface - random initial conditions
Detecting outliers in flood data with geostatistical methods
Time Series and Stochastic Processes
Prediction uncertainty in seasonal partial duration series
A daily streamflow model based on a jump-diffusion process
The influence of time discretization on inferred stochastic properties of point rainfall
The distribution of the 1-day total precipitation amount
Analysis of outliers in Norwegian flood data
Stochastic modelling of the operation of hydrants in an irrigation network
Order and disorder in hydroclimatological processes
Towards the physical structure of river flow stochastic process
Risk, Reliability and Related Criteria
Stochastic approach to non-point pollution of surface waters
Statistically safe sets methodology for optimal management of reservoirs in risk situations
Risk assessment in control of reservoir systems
Reliability-related criteria in water supply system studies Z. W. Kundzewicz
Reliability analysis of reservoir operation
Composite risk model of Ogee type spillway
Table of Contents provided by Publisher. All Rights Reserved.

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New Uncertainty Concepts in Hydrology and Water Resources

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