Editorial |
|
ix | |
Preface |
|
xi | |
|
Chapter 1 Revisiting the motives for hydroinformatics |
|
|
1 | (16) |
|
|
|
1 | (2) |
|
1.2 Engineering Roots of Hydroinformatics |
|
|
3 | (2) |
|
1.3 Modelling at the Centre of Hydroinformatics |
|
|
5 | (2) |
|
1.4 Hydroinformatics: From Technology to Sociotechnology |
|
|
7 | (2) |
|
1.5 Decision Support and Hydroinformatics |
|
|
9 | (2) |
|
1.6 Hydroinformatics and the Virtual World |
|
|
11 | (1) |
|
1.7 Role of Hydroinformaticians |
|
|
12 | (5) |
|
|
13 | (4) |
|
Chapter 2 Computational hydraulics: stage for the hydroinformatics act |
|
|
17 | (16) |
|
|
|
|
|
17 | (2) |
|
|
18 | (1) |
|
2.2 Role of Characteristics in Computational Hydraulics |
|
|
19 | (2) |
|
2.2.1 The meaning of characteristics |
|
|
19 | (1) |
|
2.2.2 The three-and four-point method of characteristics |
|
|
19 | (2) |
|
2.2.3 Practical aspects of characteristics |
|
|
21 | (1) |
|
2.3 The Generations of Modelling |
|
|
21 | (5) |
|
2.3.1 First- and second-generation modelling |
|
|
21 | (1) |
|
2.3.2 Third-generation modelling |
|
|
21 | (3) |
|
2.3.3 Fourth-generation modelling |
|
|
24 | (2) |
|
2.3.4 New developments in numerical methods |
|
|
26 | (1) |
|
2.4 Other Mike Abbott-Related Developments in Numerical Modelling |
|
|
26 | (2) |
|
2.4.1 A dynamic population model |
|
|
26 | (1) |
|
2.4.2 European Hydrologic System: Systeme Hydrologique Europeen (SHE) |
|
|
27 | (1) |
|
2.4.3 Laying of marine pipelines |
|
|
27 | (1) |
|
2.5 From Computational Hydraulics to Hydroinformatics |
|
|
28 | (5) |
|
2.5.1 The changing nature of modelling systems |
|
|
28 | (1) |
|
2.5.2 Challenges to model users |
|
|
29 | (2) |
|
|
31 | (1) |
|
|
31 | (2) |
|
Chapter 3 Hydroinformatics opening new horizons: union of computational hydraulics and artificial intelligence |
|
|
33 | (12) |
|
|
|
|
33 | (1) |
|
3.2 Earliest AI Efforts in Hydraulics, Hydrology and Hydroinformatics |
|
|
34 | (1) |
|
|
35 | (1) |
|
|
36 | (1) |
|
3.5 Opening the Black Box |
|
|
37 | (1) |
|
3.6 Growing Volumes of Data and Accelerating Computing Power |
|
|
37 | (1) |
|
3.7 Recent Examples of AI-Enabled Systems |
|
|
38 | (1) |
|
3.7.1 Planetary-scale surface water detection from space |
|
|
38 | (1) |
|
3.7.2 Water quality sensing |
|
|
38 | (1) |
|
3.7.3 Computer vision for opportunistic rainfall monitoring |
|
|
38 | (1) |
|
3.7.4 Hydrologically informed machine learning for rainfall-runoff modelling |
|
|
39 | (1) |
|
3.8 Opportunities for Future Developments |
|
|
39 | (2) |
|
|
39 | (1) |
|
3.8.2 Enabling technologies |
|
|
39 | (1) |
|
3.8.3 Freedom to the data! |
|
|
40 | (1) |
|
|
40 | (1) |
|
3.8.5 Hydroinformatics-informed machine learning? |
|
|
40 | (1) |
|
|
41 | (4) |
|
|
42 | (3) |
|
Chapter 4 Hydroinformatics impact on hydrological modelling |
|
|
45 | (12) |
|
|
|
|
|
45 | (1) |
|
4.2 Terminology and Model Classifications |
|
|
46 | (1) |
|
4.2.1 Classification according to hydrological process description |
|
|
46 | (1) |
|
4.2.2 Classification according to technological level |
|
|
47 | (1) |
|
|
47 | (2) |
|
4.3.1 State of the art in hydrological modelling in the early 1970s |
|
|
47 | (1) |
|
4.3.2 Motivation of the SHE development and creation of the SHE partnership |
|
|
47 | (1) |
|
4.3.3 The initial SHE development (1976--1986) |
|
|
48 | (1) |
|
4.3.4 From research code to practical applications (1986--1990s) |
|
|
49 | (1) |
|
4.4 Evaluation of the SHE Achievements |
|
|
49 | (3) |
|
4.4.1 SHE: a contentious quantum leap |
|
|
49 | (1) |
|
4.4.2 Evaluation of the impact of SHE on hydrological modelling today |
|
|
50 | (2) |
|
4.5 Other Hydroinformatics Contributions |
|
|
52 | (1) |
|
4.5.1 Encapsulation of knowledge in digital modelling systems |
|
|
52 | (1) |
|
4.5.2 Intelligent software systems to support stakeholders in water management |
|
|
52 | (1) |
|
|
53 | (4) |
|
|
53 | (1) |
|
|
53 | (4) |
|
Chapter 5 Hydroinformatics as a `game changer' in the water business |
|
|
57 | (18) |
|
|
|
|
|
|
57 | (2) |
|
5.2 Evolution of Hydroinformatics |
|
|
59 | (6) |
|
5.2.1 Building the fundaments: 1960s and 1970s |
|
|
59 | (1) |
|
5.2.2 The rise of computational modelling business: 1980s |
|
|
59 | (2) |
|
5.2.3 Maturing and expanding: 1990s |
|
|
61 | (1) |
|
5.2.4 Water business in the new millennium |
|
|
62 | (3) |
|
5.3 Technical and Commercial Aspects of Hydroinformatics |
|
|
65 | (3) |
|
5.3.1 Original view on hydroinformatics as part of the knowledge economy |
|
|
65 | (1) |
|
5.3.2 State of technology |
|
|
65 | (1) |
|
5.3.3 Changes in education of hydroinformatics and their reflections on business |
|
|
66 | (1) |
|
5.3.4 Business transformation |
|
|
66 | (1) |
|
5.3.5 Software providers and their business models |
|
|
66 | (1) |
|
5.3.6 Software users and their needs |
|
|
67 | (1) |
|
5.3.7 Data collection, sharing and publishing |
|
|
68 | (1) |
|
5.4 Societal and Political Aspects of Hydroinformatics |
|
|
68 | (3) |
|
5.4.1 Social justice and hydroinformatics |
|
|
69 | (1) |
|
5.4.2 Learning by playing |
|
|
69 | (1) |
|
5.4.3 Transparency of modelling and ethical aspects of presentation materials |
|
|
70 | (1) |
|
5.5 Business Opportunities as Seen from 21st Century Perspectives |
|
|
71 | (1) |
|
5.5.1 Water in cities market |
|
|
71 | (1) |
|
5.5.2 Water resources market |
|
|
71 | (1) |
|
|
72 | (1) |
|
5.5.4 Other market segments related to water or the environment |
|
|
72 | (1) |
|
5.6 Future Challenges for Hydroinformatics Business |
|
|
72 | (3) |
|
5.6.1 Uncertainty and parametrisation of models |
|
|
72 | (1) |
|
5.6.2 Climate change and its impacts |
|
|
72 | (1) |
|
5.6.3 New business models in simulation modelling |
|
|
73 | (1) |
|
5.6.4 Growth in hydroinformatics: consultancy demands |
|
|
73 | (1) |
|
5.6.5 Vision for future or business |
|
|
73 | (1) |
|
|
74 | (1) |
|
Chapter 6 Hydroinformatics in China: overall developments and showcase of accomplishments in the Changjiang River basin |
|
|
75 | (20) |
|
|
|
|
|
75 | (2) |
|
6.2 DTR Decision Support Framework |
|
|
77 | (1) |
|
6.3 Data Acquisition and Management |
|
|
78 | (1) |
|
|
78 | (1) |
|
|
78 | (1) |
|
6.3.3 Data monitoring technologies |
|
|
79 | (1) |
|
6.4 Models and Their Roles in DSS |
|
|
79 | (5) |
|
6.4.1 Physically based water-related models |
|
|
80 | (1) |
|
|
81 | (2) |
|
6.4.3 Risk assessment models |
|
|
83 | (1) |
|
6.4.4 Data-driven approaches: artificial intelligence models |
|
|
83 | (1) |
|
6.5 Improved Governance and Public Involvement: the River/Lake Chief System |
|
|
84 | (1) |
|
6.6 Applications in the Changjiang River Basin |
|
|
85 | (6) |
|
|
85 | (4) |
|
6.6.2 River/Lake chief system and public participation |
|
|
89 | (2) |
|
|
91 | (4) |
|
|
92 | (3) |
|
Chapter 7 Hydroinformatics education at IHE Delft: past and future |
|
|
95 | (14) |
|
|
|
|
|
|
|
|
|
|
|
93 | (1) |
|
7.2 Motivation and Origins |
|
|
94 | (3) |
|
7.3 Developments of IHE's Hydroinformatics Education Over Last 30 Years |
|
|
97 | (1) |
|
7.4 Current Status and the Course Content of the Hydroinformatics MSc Specialization |
|
|
98 | (2) |
|
7.5 Associated MSc Programmes |
|
|
100 | (1) |
|
7.5.1 Erasmus + Flood Risk Management Master's programme |
|
|
100 | (1) |
|
7.5.2 International Master's in Hydroinformatics |
|
|
101 | (1) |
|
7.6 Hydroinformatics Education Worldwide |
|
|
101 | (3) |
|
|
104 | (5) |
|
|
105 | (4) |
|
Articles of Michael B. Abbott |
|
|
|
1 On the numerical computation of nearly-horizontal flows |
|
|
109 | (24) |
|
2 On the Numerical modelling of short waves in shallow water |
|
|
133 | (34) |
|
3 The fourth generation of numerical modelling in hydraulics |
|
|
167 | (22) |
|
4 Introducing hydroinformatics |
|
|
189 | (20) |
|
5 Forchheimer and Schoklitsch: a postmodern retrospection |
|
|
209 | (22) |
|
6 Towards the hydraulics of the hydroinformatics era |
|
|
231 | (14) |
|
7 Towards a hydroinformatics praxis in the service of social justice |
|
|
245 | |