Hydrological Models for Environmental Management

✍ Scribed by Luc Perreault, Eric Parent, Bernard Bobee (auth.), Mikhail V. Bolgov, Lars Gottschalk, Irina Krasovskaia, Robert J. Moore (eds.)

• Publisher: Springer Netherlands
• Year: 2002
• Tongue: English
• Leaves: 268
• Series: NATO Science Series 79
• Edition: 1
• Category: Library

✦ Synopsis

This book contains a selection of papers from a NATO Advanced Research Workshop entitled "Stochastic models of hydrological processes and their applications to problems of environmental preservation" convened in Moscow over the period 23-27 November 1998. The Workshop was unique in providing the first opportunity for over a decade for countries of the Russian Federation to interact with other countries across the world to discuss hydrological science issues relevant to environmental management. The contrasting schools of thought within the Russian Federation and with other countries proved a fascinating and valuable experience for those fortunate enough to attend. The scientific content of the Workshop was motivated by a number of concerns. Water is a key natural resource whose modelling and management is made complex by its inherent spatial unevenness and time variability. Traditional methods for investigating hydrological processes in nature employ stochastic modelling and forecasting. However these are not well developed with regard to (i) representing the characteristics of hydrological regimes, and (ii) investigating the influence of water factors on processes which arise in biological systems and those involving hydrochemical, geophysical and other processes.

✦ Table of Contents

Front Matter....Pages i-xvi
Bayesian Analysis of a Simultaneous Change in Both the Mean and the Variance....Pages 1-15
On the Distribution of the Maximum of a Random Sample....Pages 17-22
Stochastic Model of the Runoff Fluctuations for Rivers With a Flood Flow Regime....Pages 23-37
A Study of the Synchronicity of Annual Runoff Fluctuations....Pages 39-50
Stochastic Models with Periodic-Correlation of Seasonal River Runoff Variations....Pages 51-66
Identification of Regional Stochastic Models from Short Time-Series....Pages 67-73
A Method for Simulation of Periodic Hydrological Time Series Using Wavelet Transform....Pages 75-90
The Caspian Sea as a Stochastic Reservoir....Pages 91-107
Geophysical Time Series and Climatic Change....Pages 109-128
On the Development of the Stochastic Approach in Hydrology....Pages 129-137
Stochastic Models of the Long-Term River Runoff Fluctuations with Application in Water Construction and Management....Pages 139-145
Statistical Modelof River-Bed Stream:Parameters of Turbulence, Energy Characteristics....Pages 147-155
Management of Water Resources Systems Under Non-Stationary Conditions....Pages 157-168
Interactive River-Aquifer Simulation and Stochastic Analyses for Predicting and Evaluating the Ecologic Impacts of Alternative Land and Water Management Policies....Pages 169-194
A Decision-Making Support System for Selecting Water Protection and Reservoir Control Measures....Pages 195-213
Control of Regimes of Water Resource Systems with Stochastic Indeterminacy of the Hydrometeorological Data....Pages 215-225
Risk Mapping of Groundwater Contamination....Pages 227-240
Economic Risk of Flooding: A Case Study for the Glomma River, Norway....Pages 241-263

✦ Subjects

Hydrogeology; Environmental Management; Earth Sciences, general