Jonoski, Andreja.
Michael Abbott's Hydroinformatics : Poiesis of New Relationships with Water. - 1st ed. - 1 online resource (249 pages)
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: Syst�eme Hydrologique Europ�een (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.
9781789062656
Electronic books.
551.480285
Michael Abbott's Hydroinformatics : Poiesis of New Relationships with Water. - 1st ed. - 1 online resource (249 pages)
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: Syst�eme Hydrologique Europ�een (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.
9781789062656
Electronic books.
551.480285