Overview

Water is a key natural resource, the modelling and management of which is made complex by its inherent spatial unevenness and temporal variability. Stochastic modelling and forecasting cannot at present adequately represent the characteristics of hydrological regimes, nor analyze the influence of water on processes that arise in biological systems and those involving hydrological, geophysical and other processes. This book presents discussions of new stochastic modelling approaches against the requirement of sustainable development in an environment that is changing due to human influence. A major challenge is to consider the effects of a changing climate and ecological impacts when developing modelling and risk assessment procedures in support of river basin management.

Full Product Details

Author:   Mikhail V. Bolgov ,  Lars Gottschalk ,  Irina Krasovskaia ,  Robert J. Moore
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2002
Volume:   79
Dimensions:   Width: 16.00cm , Height: 1.50cm , Length: 24.00cm
Weight:   0.455kg
ISBN:  

9781402009112

ISBN 10:   1402009119
Pages:   263
Publication Date:   30 November 2002
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

1. Hydrometeorological extremes.- Bayesian analysis of a simultaneous change in both the mean and the variance.- On the distribution of the maximum of a random sample.- Stochastic model of the runoff fluctuations for rivers with a flood flow regime.- 2. Stochastic models of long-term and seasonal variation in water balance.- A study of the synchronicity of annual runoff fluctuations.- Stochastic models with periodic-correlation of seasonal river runoff variations.- Identification of regional stochastic models from short time-series.- A method for simulation of periodic hydrological time series using wavelet transform.- The Caspian Sea as a stochastic reservoir.- Geophysical time series and climatic change: A sceptic’s view.- On the development of the stochastic approach in hydrology.- Stochastic models of the long-term river runoff fluctuations with application water construction and management.- 3. River and sediment dynamics.- Statistical model of river-bed stream: parameters of turbulence, energy characteristics.- 4. Water resource system management.- Management of waterresources systems under non-stationary conditions.- Interactive river-aquifer simulation and stochastic analyses for predicting and evaluating the ecologic impacts of alternative land and water management policies.- A decision-making support system for selecting water protection and reservoir control measures.- Control of regimes of waterresource systems with stochastic indeterminacy of the hydrometeorological data.- 5. Risk assessment.- Risk mapping of groundwater contamination.- Economic risk of flooding: a case studyfor the Glomma River, Norway.

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