Hydrological Models for Environmental Management

1. Front Matter

   Pages i-xvi

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2. Hydrometeorological extremes

   1. Bayesian Analysis of a Simultaneous Change in Both the Mean and the Variance

      • Luc Perreault, Eric Parent, Bernard Bobee

      Pages 1-15

   2. On the Distribution of the Maximum of a Random Sample

      • V. F. Pisarenko

      Pages 17-22

   3. Stochastic Model of the Runoff Fluctuations for Rivers With a Flood Flow Regime

      • A. V. Khristoforov, G. V. Kruglova, T. V. Samborski

      Pages 23-37

3. Stochastic models of long-term and seasonal variation in water balance

   1. A Study of the Synchronicity of Annual Runoff Fluctuations

      • V. M. Evstigneev, T. A. Akimenko

      Pages 39-50

   2. Stochastic Models with Periodic-Correlation of Seasonal River Runoff Variations

      • M. V. Bolgov

      Pages 51-66

   3. Identification of Regional Stochastic Models from Short Time-Series

      • M. I. Fortus, M. V. Bolgov

      Pages 67-73

   4. A Method for Simulation of Periodic Hydrological Time Series Using Wavelet Transform

      • Guozhang Feng

      Pages 75-90

   5. The Caspian Sea as a Stochastic Reservoir

      • A. V. Frolov

      Pages 91-107

   6. Geophysical Time Series and Climatic Change

      • V. Klemeš

      Pages 109-128

   7. On the Development of the Stochastic Approach in Hydrology

      • D. Y. Ratkovich

      Pages 129-137

   8. Stochastic Models of the Long-Term River Runoff Fluctuations with Application in Water Construction and Management

      • A. V. Rozhdestvensky

      Pages 139-145

4. River and sediment dynamics

   1. Statistical Modelof River-Bed Stream:Parameters of Turbulence, Energy Characteristics

      • V. K. Debolsky, E. N. Dolgopolova

      Pages 147-155

5. Water resource systemmanagement

   1. Management of Water Resources Systems Under Non-Stationary Conditions

      • I. L. Khranovich, A. L. Velikanov

      Pages 157-168

   2. Interactive River-Aquifer Simulation and Stochastic Analyses for Predicting and Evaluating the Ecologic Impacts of Alternative Land and Water Management Policies

      • Daniel P. Loucks

      Pages 169-194

   3. A Decision-Making Support System for Selecting Water Protection and Reservoir Control Measures

      • V. G. Priazhinskaya, L. K. Levit-Gourevich, D. M. Yaroshevskii

      Pages 195-213

   4. Control of Regimes of Water Resource Systems with Stochastic Indeterminacy of the Hydrometeorological Data

      • A. M. Reznikovsky, M. I. Rubinshtein

      Pages 215-225

6. Risk assessment

   1. Risk Mapping of Groundwater Contamination

      • W. K. Wong, I. Krasovskaia, L. Gottschalk, A. Bárdossy

      Pages 227-240

   2. Economic Risk of Flooding: A Case Study for the Glomma River, Norway

      • Lars Gottschalk, Irina Krasovskaia, Nils Roar Stælthun

      Pages 241-263

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.

• Environmental Management
• Groundwater
• development
• digital elevation model
• hydrology
• hydrogeology

• Water Problems Institute, Moscow, Russia

  Mikhail V. Bolgov

• Department of Geophysics, University of Oslo, Norway

  Lars Gottschalk

• IGC, Sweden

  Irina Krasovskaia

• Centre for Ecology and Hydrology, Wallingford, UK

  Robert J. Moore

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