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Hydrological Models for Environmental Management

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Cover of 'Hydrological Models for Environmental Management'

Table of Contents

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    Book Overview
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    Chapter 1 Bayesian Analysis of a Simultaneous Change in Both the Mean and the Variance
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    Chapter 2 On the Distribution of the Maximum of a Random Sample
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    Chapter 3 Stochastic Model of the Runoff Fluctuations for Rivers With a Flood Flow Regime
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    Chapter 4 A Study of the Synchronicity of Annual Runoff Fluctuations
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    Chapter 5 Stochastic Models with Periodic-Correlation of Seasonal River Runoff Variations
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    Chapter 6 Identification of Regional Stochastic Models from Short Time-Series
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    Chapter 7 A Method for Simulation of Periodic Hydrological Time Series Using Wavelet Transform
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    Chapter 8 The Caspian Sea as a Stochastic Reservoir
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    Chapter 9 Geophysical Time Series and Climatic Change
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    Chapter 10 On the Development of the Stochastic Approach in Hydrology
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    Chapter 11 Stochastic Models of the Long-Term River Runoff Fluctuations with Application in Water Construction and Management
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    Chapter 12 Statistical Modelof River-Bed Stream:Parameters of Turbulence, Energy Characteristics
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    Chapter 13 Management of Water Resources Systems Under Non-Stationary Conditions
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    Chapter 14 Interactive River-Aquifer Simulation and Stochastic Analyses for Predicting and Evaluating the Ecologic Impacts of Alternative Land and Water Management Policies
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    Chapter 15 A Decision-Making Support System for Selecting Water Protection and Reservoir Control Measures
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    Chapter 16 Control of Regimes of Water Resource Systems with Stochastic Indeterminacy of the Hydrometeorological Data
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    Chapter 17 Risk Mapping of Groundwater Contamination
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    Chapter 18 Economic Risk of Flooding: A Case Study for the Glomma River, Norway
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6 Mendeley
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Title
Hydrological Models for Environmental Management
Published by
Springer Netherlands, December 2012
DOI 10.1007/978-94-010-0470-1
ISBNs
978-1-4020-0911-2, 978-9-40-100470-1
Editors

Bolgov, Mikhail V., Gottschalk, Lars, Krasovskaia, Irina, Moore, Robert J.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 33%
Student > Ph. D. Student 1 17%
Unspecified 1 17%
Other 1 17%
Lecturer 1 17%
Other 0 0%
Readers by discipline Count As %
Environmental Science 4 67%
Unspecified 1 17%
Earth and Planetary Sciences 1 17%