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Modeling, control and optimization of water systems : systems engineering methods for control and decision making tasks

Author: Thomas Rauschenbach
Publisher: Heidelberg : Springer, [2015]. ©2016
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book provides background knowledge on the development of model based real-world solutions in the field of control and decision making for water systems. It presents system engineering methods for modelling surface water and groundwater resources.
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Genre/Form: Electronic books
Additional Physical Format: (OCoLC)756282748
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Thomas Rauschenbach
ISBN: 9783642160264 3642160263
OCLC Number: 932289216
Description: 1 online resource (vii, 303 pages) : illustrations (some color)
Contents: Preface --
Contents --
1 Introduction --
2 Water Resources --
2.1 Catchment Area Modeling --
2.1.1 Introduction --
2.1.2 Model According to Lorent and Gevers --
2.1.3 The Tank Model --
2.1.4 The HBV Model --
2.2 Water Quality Modeling for Freshwater Ecosystems --
2.2.1 Introduction --
2.2.2 General Aspects of Water Quality Modeling --
2.2.3 Water Quality Models for Rivers --
2.2.4 Water Quality Models for Lakes and Reservoirs --
2.2.5 Water Quality Models for Surface Water Management --
2.3 Groundwater Modeling --
2.3.1 Governing Equations in Groundwater Modeling --
2.3.2 Numerical Aspects --
2.3.3 Water Budget --
2.3.4 Determination of Input Data --
2.3.5 Parameter Estimation --
2.3.6 Initial and Boundary Conditions --
2.3.7 Reduced Groundwater Models --
2.4 Coupling of Groundwater and Surface Water Models --
2.4.1 Interaction Types and Coupling Scheme Selection --
2.4.2 Time-Step Coupling Scheme --
2.4.3 Sequential Coupling Scheme --
3 Transportation --
3.1 Models for Describing Courses of Rivers and Reservoirs --
3.1.1 General Model Set-Up of a River Section --
3.1.2 The Saint-Venant Equations and Their Discretization for Time and Place --
3.1.3 Difference Equation for the Flow Rate --
3.1.4 Difference Equation for the Water Level --
3.1.5 Description of the Flow in the Case of Spills --
3.1.6 The Polder Model --
3.1.7 The Headwater Level Model --
3.1.8 The Backwater Model --
3.2 Water Supply Systems --
3.2.1 Introduction --
3.2.2 Hydraulics of Pressurizes Networks --
3.2.3 Simulation of Meshed Drinking Water Networks --
3.2.4 Optimization Methods for Water Distribution Systems --
3.2.5 Network Model Calibration --
3.3 Long Distance Water Supply --
3.3.1 Introduction --
3.3.2 Types of Pipeline Systems and Problems --
3.3.3 Pipe Dimensioning --
3.3.4 Transient Flows and Water Hammer --
3.3.5 Leak Detection --
4 Water Use --
4.1 Overview. 4.1.1 Forecasting --
4.1.2 Model Based Forecasting --
4.1.3 Selection of the Forecast Method --
4.2 Basic Models --
4.2.1 Time Series --
4.2.2 Component Models --
4.2.3 Knowledge Based Models --
4.2.4 Partitioned Models and Sub-models --
4.3 Parametrization --
4.3.1 Correlation --
4.3.2 Linear Regression and Trend --
4.3.3 Model Quality --
4.4 Applied Models --
4.4.1 Agriculture --
4.4.2 Industry --
4.4.3 Domestic/Households --
4.5 Summary --
5 Model Based Decision Support Systems --
5.1 Introduction --
5.2 Framework for the Model Based Decision Support System --
5.2.1 Decision Making Models and Information System --
5.2.2 Organizing Module and Scenario Planning --
5.2.3 Human Machine Interface --
5.3 Optimization of Water Resources Systems --
5.3.1 Water Resources System Components --
5.3.2 Solving the Dynamic Optimization Problem --
5.3.3 Examples of Formulating Dynamic Optimization Problems --
5.4 Benefits and Applications of the Decision Support System Framework --
6 Applications --
6.1 The Simulation and Control Toolbox ``WaterLib'' --
6.1.1 Modeling Dynamic Systems with Simulink --
6.1.2 Toolbox Overview and Modules --
6.2 Application Example ``Beijing Water'' --
6.2.1 Simulation Model of the Beijing Water System --
6.2.2 Beijing Optimal Water Allocation System --
6.2.3 Sample Results of the Decision Support System --
6.3 Pipeline Network Simulation for Public Services --
6.3.1 Introduction --
6.3.2 System Architecture of HydroDyn --
6.4 Water Quality Modeling for the Lower Havel River --
6.4.1 Introduction --
6.4.2 The Hydrological System of Lower Havel River --
6.4.3 Data Material --
6.4.4 Process Identification --
6.4.5 The CEUS Eutrophication Simulator --
6.4.6 The Optimisation Tool ISSOP --
6.4.7 Simulation Results and Discussion --
6.5 Optimal Control of Run-off-River Hydroelectric Power Plants. 6.5.1 The Classical Multi-criteria Problem Setting --
6.5.2 The Multi-criteria Problem Setting with the Adaption of the Weighting Factors --
6.5.3 The Control System of the Barrage Cascade of the Austrian Danube --
References --
Index.
Responsibility: Thomas Rauschenbach, editor ; contributed by Thomas Bernard [and more].

Abstract:

This book provides background knowledge on the development of model based real-world solutions in the field of control and decision making for water systems. It presents system engineering methods  Read more...

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