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Table of Contents
Cover
Contents
Editorial
Preface
Chapter 1 : Revisiting the motives for hydroinformatics
1.1 Introduction
1.2 Engineering Roots of Hydroinformatics
1.3 Modelling at the Centre of Hydroinformatics
1.4 Hydroinformatics: From Technology to Sociotechnology
1.5 Decision Support and Hydroinformatics
1.6 Hydroinformatics and the Virtual World
1.7 Role of Hydroinformaticians
References
Chapter 2 : Computational hydraulics: stage for the hydroinformatics act
2.1 Introduction
2.1.1 Historical context
2.2 Role of Characteristics in Computational Hydraulics
2.2.1 The meaning of characteristics
2.2.2 The three- and four-point method of characteristics
2.2.3 Practical aspects of characteristics
2.3 The Generations of Modelling
2.3.1 First- and second-generation modelling
2.3.2 Third-generation modelling
2.3.2.1 Establishment of the computational hydraulics centre
2.3.2.2 Challenges of the development
2.3.2.3 Stratified flow modelling
2.3.2.4 Wave modelling
2.3.2.5 Applications and commercialization of the third-generation models
2.3.3 Fourth-generation modelling
2.3.3.1 Driving forces for the development
2.3.3.2 Scope of the development
2.3.4 New developments in numerical methods
2.3.4.1 Finite difference methods
2.3.4.2 Unstructured grids
2.3.4.3 Particle tracking methods
2.4 Other Mike Abbott-Related Developments in Numerical Modelling
2.4.1 A dynamic population model
2.4.2 European Hydrologic System: Système Hydrologique Européen (SHE)
2.4.3 Laying of marine pipelines
2.5 From Computational Hydraulics to Hydroinformatics
2.5.1 The changing nature of modelling systems.
2.5.2 Challenges to model users
2.5.3 The way ahead
References
Chapter 3 : Hydroinformatics opening new horizons: union of computational hydraulics and artificial intelligence
3.1 Introduction
3.2 Earliest AI Efforts in Hydraulics, Hydrology and Hydroinformatics
3.3 Picking-Up Momentum
3.4 The Formative Years
3.5 Opening the Black Box
3.6 Growing Volumes of Data and Accelerating Computing Power
3.7 Recent Examples of AI-Enabled Systems
3.7.1 Planetary-scale surface water detection from space
3.7.2 Water quality sensing
3.7.3 Computer vision for opportunistic rainfall monitoring
3.7.4 Hydrologically informed machine learning for rainfall-runoff modelling
3.8 Opportunities for Future Developments
3.8.1 Machine learning
3.8.2 Enabling technologies
3.8.3 Freedom to the data!
3.8.4 Deep learning
3.8.5 Hydroinformatics-informed machine learning?
3.9 The Way Forward
References
Chapter 4 : Hydroinformatics impact on hydrological modelling
4.1 Introduction
4.2 Terminology and Model Classifications
4.2.1 Classification according to hydrological process description
4.2.2 Classification according to technological level
4.3 The SHE Venture
4.3.1 State of the art in hydrological modelling in the early 1970s
4.3.2 Motivation of the SHE development and creation of the SHE partnership
4.3.3 The initial SHE development (1976-1986)
4.3.4 From research code to practical applications (1986-1990s)
4.4 Evaluation Of the SHE Achievements
4.4.1 SHE: a contentious quantum leap
4.4.2 Evaluation of the impact of SHE on hydrological modelling today
4.5 Other Hydroinformatics Contributions.
4.5.1 Encapsulation of knowledge in digital modelling systems
4.5.2 Intelligent software systems to support stakeholders in water management
4.6 Conclusions
Acknowledgements
References
Chapter 5 : Hydroinformatics as a 'game changer' in the water business
5.1 Introduction
5.2 Evolution of Hydroinformatics
5.2.1 Building the fundaments: 1960s and 1970s
5.2.2 The rise of computational modelling business: 1980s
5.2.3 Maturing and expanding: 1990s
5.2.4 Water business in the new millennium
5.3 Technical and Commercial Aspects of Hydroinformatics
5.3.1 Original view on hydroinformatics as part of the knowledge economy
5.3.2 State of technology
5.3.3 Changes in education of hydroinformatics and their reflections on business
5.3.4 Business transformation
5.3.5 Software providers and their business models
5.3.6 Software users and their needs
5.3.7 Data collection, sharing and publishing
5.4 Societal and Political Aspects of Hydroinformatics
5.4.1 Social justice and hydroinformatics
5.4.2 Learning by playing
5.4.3 Transparency of modelling and ethical aspects of presentation materials
5.5 Business Opportunities as Seen from 21st Century Perspectives
5.5.1 Water in cities market
5.5.2 Water resources market
5.5.3 Marine market
5.5.4 Other market segments related to water or the environment
5.6 Future Challenges for Hydroinformatics Business
5.6.1 Uncertainty and parametrisation of models
5.6.2 Climate change and its impacts
5.6.3 New business models in simulation modelling
5.6.4 Growth in hydroinformatics: consultancy demands
5.6.5 Vision for future or business
References.
Chapter 6 : Hydroinformatics in China: overall developments and showcase of accomplishments in the Changjiang River basin
6.1 Introduction
6.2 DTR Decision Support Framework
6.3 Data Acquisition and Management
6.3.1 Types of data
6.3.2 Data acquisition
6.3.3 Data monitoring technologies
6.4 Models and Their Roles in DSS
6.4.1 Physically based water-related models
6.4.1.1 Meteorological modelling
6.4.1.2 Hydrological modelling and stochastic modelling
6.4.2 Regulation models
6.4.2.1 Regulation model for flood management in a river basin
6.4.2.2 Water resources regulation model
6.4.2.3 Ecological regulation model
6.4.2.4 Regulation model for power generation of group of reservoirs
6.4.2.5 Multi-objective regulation model
6.4.3 Risk assessment models
6.4.4 Data-driven approaches: artificial intelligence models
6.4.4.1 ML and AI models used for hydrological forecasting
6.4.4.2 Intelligent regulation technology based on a knowledge graph
6.4.4.3 ML and AI models for other water management tasks
6.5 Improved Governance and Public Involvement: The River/Lake Chief System
6.6 Applications in The Changjiang River Basin
6.6.1 Flood management
6.6.1.1 Data acquisition in the Changjiang River basin
6.6.1.2 Models and DSSs for the Changjiang River basin
6.6.1.3 Joint regulation of water projects for flood management
6.6.1.4 Application examples
6.6.2 River/Lake chief system and public participation
6.6.2.1 Functionalities of the RCS
6.6.2.2 Public participation
6.6.2.3 Performance of Chongqing RCS
6.7 Summary
References
Chapter 7 : Hydroinformatics education at IHE Delft: past and future
7.1 Introduction.
7.2 Motivation and Origins
7.3 Developments of IHE ' s Hydroinformatics Education Over Last 30 Years
7.4 Current Status and The Course Content of the Hydroinformatics MSc Specialization
7.5 Associated MSc Programmes
7.5.1 Erasmus + Flood Risk Management Master ' s programme
7.5.2 International Master ' s in Hydroinformatics
7.6 Hydroinformatics Education Worldwide
7.7 Outlook
References
1. On the numerical computation of nearly-horizontal flows
2. On the Numerical modelling of short waves in shallow water
3. The fourth generation of numerical modelling in hydraulics
4. Introducing hydroinformatics
5. Forchheimer and Schoklitsch: a postmodern retrospection
6. Towards the hydraulics of the hydroinformatics era
7. Towards a hydroinformatics praxis in the service of social justice.
Contents
Editorial
Preface
Chapter 1 : Revisiting the motives for hydroinformatics
1.1 Introduction
1.2 Engineering Roots of Hydroinformatics
1.3 Modelling at the Centre of Hydroinformatics
1.4 Hydroinformatics: From Technology to Sociotechnology
1.5 Decision Support and Hydroinformatics
1.6 Hydroinformatics and the Virtual World
1.7 Role of Hydroinformaticians
References
Chapter 2 : Computational hydraulics: stage for the hydroinformatics act
2.1 Introduction
2.1.1 Historical context
2.2 Role of Characteristics in Computational Hydraulics
2.2.1 The meaning of characteristics
2.2.2 The three- and four-point method of characteristics
2.2.3 Practical aspects of characteristics
2.3 The Generations of Modelling
2.3.1 First- and second-generation modelling
2.3.2 Third-generation modelling
2.3.2.1 Establishment of the computational hydraulics centre
2.3.2.2 Challenges of the development
2.3.2.3 Stratified flow modelling
2.3.2.4 Wave modelling
2.3.2.5 Applications and commercialization of the third-generation models
2.3.3 Fourth-generation modelling
2.3.3.1 Driving forces for the development
2.3.3.2 Scope of the development
2.3.4 New developments in numerical methods
2.3.4.1 Finite difference methods
2.3.4.2 Unstructured grids
2.3.4.3 Particle tracking methods
2.4 Other Mike Abbott-Related Developments in Numerical Modelling
2.4.1 A dynamic population model
2.4.2 European Hydrologic System: Système Hydrologique Européen (SHE)
2.4.3 Laying of marine pipelines
2.5 From Computational Hydraulics to Hydroinformatics
2.5.1 The changing nature of modelling systems.
2.5.2 Challenges to model users
2.5.3 The way ahead
References
Chapter 3 : Hydroinformatics opening new horizons: union of computational hydraulics and artificial intelligence
3.1 Introduction
3.2 Earliest AI Efforts in Hydraulics, Hydrology and Hydroinformatics
3.3 Picking-Up Momentum
3.4 The Formative Years
3.5 Opening the Black Box
3.6 Growing Volumes of Data and Accelerating Computing Power
3.7 Recent Examples of AI-Enabled Systems
3.7.1 Planetary-scale surface water detection from space
3.7.2 Water quality sensing
3.7.3 Computer vision for opportunistic rainfall monitoring
3.7.4 Hydrologically informed machine learning for rainfall-runoff modelling
3.8 Opportunities for Future Developments
3.8.1 Machine learning
3.8.2 Enabling technologies
3.8.3 Freedom to the data!
3.8.4 Deep learning
3.8.5 Hydroinformatics-informed machine learning?
3.9 The Way Forward
References
Chapter 4 : Hydroinformatics impact on hydrological modelling
4.1 Introduction
4.2 Terminology and Model Classifications
4.2.1 Classification according to hydrological process description
4.2.2 Classification according to technological level
4.3 The SHE Venture
4.3.1 State of the art in hydrological modelling in the early 1970s
4.3.2 Motivation of the SHE development and creation of the SHE partnership
4.3.3 The initial SHE development (1976-1986)
4.3.4 From research code to practical applications (1986-1990s)
4.4 Evaluation Of the SHE Achievements
4.4.1 SHE: a contentious quantum leap
4.4.2 Evaluation of the impact of SHE on hydrological modelling today
4.5 Other Hydroinformatics Contributions.
4.5.1 Encapsulation of knowledge in digital modelling systems
4.5.2 Intelligent software systems to support stakeholders in water management
4.6 Conclusions
Acknowledgements
References
Chapter 5 : Hydroinformatics as a 'game changer' in the water business
5.1 Introduction
5.2 Evolution of Hydroinformatics
5.2.1 Building the fundaments: 1960s and 1970s
5.2.2 The rise of computational modelling business: 1980s
5.2.3 Maturing and expanding: 1990s
5.2.4 Water business in the new millennium
5.3 Technical and Commercial Aspects of Hydroinformatics
5.3.1 Original view on hydroinformatics as part of the knowledge economy
5.3.2 State of technology
5.3.3 Changes in education of hydroinformatics and their reflections on business
5.3.4 Business transformation
5.3.5 Software providers and their business models
5.3.6 Software users and their needs
5.3.7 Data collection, sharing and publishing
5.4 Societal and Political Aspects of Hydroinformatics
5.4.1 Social justice and hydroinformatics
5.4.2 Learning by playing
5.4.3 Transparency of modelling and ethical aspects of presentation materials
5.5 Business Opportunities as Seen from 21st Century Perspectives
5.5.1 Water in cities market
5.5.2 Water resources market
5.5.3 Marine market
5.5.4 Other market segments related to water or the environment
5.6 Future Challenges for Hydroinformatics Business
5.6.1 Uncertainty and parametrisation of models
5.6.2 Climate change and its impacts
5.6.3 New business models in simulation modelling
5.6.4 Growth in hydroinformatics: consultancy demands
5.6.5 Vision for future or business
References.
Chapter 6 : Hydroinformatics in China: overall developments and showcase of accomplishments in the Changjiang River basin
6.1 Introduction
6.2 DTR Decision Support Framework
6.3 Data Acquisition and Management
6.3.1 Types of data
6.3.2 Data acquisition
6.3.3 Data monitoring technologies
6.4 Models and Their Roles in DSS
6.4.1 Physically based water-related models
6.4.1.1 Meteorological modelling
6.4.1.2 Hydrological modelling and stochastic modelling
6.4.2 Regulation models
6.4.2.1 Regulation model for flood management in a river basin
6.4.2.2 Water resources regulation model
6.4.2.3 Ecological regulation model
6.4.2.4 Regulation model for power generation of group of reservoirs
6.4.2.5 Multi-objective regulation model
6.4.3 Risk assessment models
6.4.4 Data-driven approaches: artificial intelligence models
6.4.4.1 ML and AI models used for hydrological forecasting
6.4.4.2 Intelligent regulation technology based on a knowledge graph
6.4.4.3 ML and AI models for other water management tasks
6.5 Improved Governance and Public Involvement: The River/Lake Chief System
6.6 Applications in The Changjiang River Basin
6.6.1 Flood management
6.6.1.1 Data acquisition in the Changjiang River basin
6.6.1.2 Models and DSSs for the Changjiang River basin
6.6.1.3 Joint regulation of water projects for flood management
6.6.1.4 Application examples
6.6.2 River/Lake chief system and public participation
6.6.2.1 Functionalities of the RCS
6.6.2.2 Public participation
6.6.2.3 Performance of Chongqing RCS
6.7 Summary
References
Chapter 7 : Hydroinformatics education at IHE Delft: past and future
7.1 Introduction.
7.2 Motivation and Origins
7.3 Developments of IHE ' s Hydroinformatics Education Over Last 30 Years
7.4 Current Status and The Course Content of the Hydroinformatics MSc Specialization
7.5 Associated MSc Programmes
7.5.1 Erasmus + Flood Risk Management Master ' s programme
7.5.2 International Master ' s in Hydroinformatics
7.6 Hydroinformatics Education Worldwide
7.7 Outlook
References
1. On the numerical computation of nearly-horizontal flows
2. On the Numerical modelling of short waves in shallow water
3. The fourth generation of numerical modelling in hydraulics
4. Introducing hydroinformatics
5. Forchheimer and Schoklitsch: a postmodern retrospection
6. Towards the hydraulics of the hydroinformatics era
7. Towards a hydroinformatics praxis in the service of social justice.