Hydroinformatics Master study at IHE Delft

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1 Hydroinformatics Master study at IHE Delft Dimitri Solomatine Professor of Hydroinformatics 1

2 Hydroinformaitcs started in IHE Delft in 1991, by Mike Abbott 2

3 Michael B. Abbott Hydroinformatics information and communication technology applied to problems of aquatic environment Roland K. Price 3

4 Definition of Hydroinformatics The study of the flow of information and the generation of knowledge related to the dynamics of water in the real world, through the integration of modelling, information technologies and artificial intelligence taking into account sustainability and social implications for decision support and smart management of water based systems Hydroinformatics integrates data, models and people 4

5 International recognition of Hydroinformatics 5

6 Hydroinformatics system: flow of information Data Models Knowledge Decisions Impacts Earth observation, monitoring, data mining Numerical Weather Prediction and Climatic Models Computational intelligence, integration with hydrologic and hydraulic models Access to modelling results Decision support and optimization Map of flood probability 6

7 Main research themes of the Hydroinformatics chair group at IHE Delft Main research themes A. Data science, artificial and computational intelligence B. Hydrological, hydraulic and environmental modelling and forecasting, and data-model integration C. Systems engineering, optimization and control D. Uncertainty, decision support and risk management with applications to: Flood and drought forecasting, and risk management Real-time control and anticipatory water management Reservoir operation and optimization Urban water systems management Water quality modelling 7

8 Books Journal 8

9 Papers 9

10 Examples of our research projects related to Hydroinformatics EU funded projects (1998 ) TELEFLEUR: Telematics assisted handling of flood emergencies in urban areas, OSIRIS - Operational Solutions for the Management of Inundation Risks in the Information Society ( ) FLOODsite: Integrated flood risk analysis and management methodologies ( ) (managed turnover ) SWITCH: Managing Water for the City of the Future ( ) LENVIS: Localised environmental and health information services ( ) EnviroGRIDS: Gridded Earth Observation System for Assessing and Predicting Black Sea Basin Sustainability and Vulnerability ( ) KULTURisk Knowledge-based approach to develop a culture of risk prevention (leading) MyWater - Merging hydrologic models and EO data for reliable information on Water ICEWater - ICT Solutions for efficient Water Resources Management (managed turnover 500,000) WeSenseIt: Citizen Observatory in Water (managed turnover 600,000) Delft Cluster (Dutch government) projects Communities of practice and knowledge management ( ) Data mining and data-driven modelling, with applications in civil engineering ( ), managed turnover 800,000 Anticipatory water management ( ) Modelling of sedimentation processes ( ), managed turnover 80,000 Safety from flooding ( ), managed turnover 400,000 Water Framework Directive Tools ( ), managed turnover 250,000 UPaRF projects (internal research fund) ECOLIVE The ecology of livelihoods in East-African Wetlands: Wetland Conservation and Utilization in the Context of local and global change ( ) ProACC Climate change impacts on Mekong river delta ACCION Adaptation to Climate Change Impacts on the Nile River Basin ( ) + PhD projects funded by foreign governments 10

11 Education in Hydroinformatics 11

12 Masters Programmes Hydroinformatics chair group is running Specialisation in Hydroinformatics of the Water Science and Engineering Masters programme at IHE Delft (18 months) Joint International Masters Specialisations in Hydroinformatics (IMHI) (18.5 months), in collaboration with: Hohai University (China) ( ) Escuela Colombiana De Ingenieria (Colombia) (2018 ) Masters programme on Flood Risk Management (24 months), with Technical University of Dresden (Germany), Technical University of Catalonia (UPC, BarcelonaTech) (Spain), and University of Ljubljana (Slovenia) + multiple short courses 12

13 Hydroinformatics programme at IHE Fundamentals, hydraulic, hydrologic and environmental processes Data systems, remote sensing, GIS, cloud computing, software engineering Physically-based simulation modelling and tools Artificial intelligence and data-driven modelling Systems analysis, control, optimization, decision support ArcGIS QGIS SOBEK RIBASIM Delft 3D SWAT EPANET MOUSE SWMM Tools MIKE 11 HEC-HMS HEC-RAS MIKE 21 MIKE SHE MODFLOW WEAP WEKA NeuralMachine Python SciKit-Learn Matlab Python Python, MATLAB toolboxes LINGO GLOBE mdss4 Java JavaScript, PHP with applications to: - flood risk management - urban water systems - river basin management - coastal systems - groundwater - environmental systems Integration of technologies, elective advanced topics, transferrable skills MSc research phase 13

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15 Block 1. Fundamentals 15

16 Block 2. Modelling, artificial intelligence, optimization, decision support systems. Fieldwork. 16

17 Block 3. Widening scope. Groupwork. MSc research phase and thesis writing. 6 months 17

18 Subjects Module 1. Introduction to Water for Development Module 2a. Introduction to Water Science and Engineering Review of Mathematics Review of Statistics and Frequency Analysis The Earth System (geology, geomorphology, Anthropocene) Referencing Guidelines, Literature Research & Plagiarism Awareness Fieldtrip - One day excursion to Deltaworks 18

19 Subjects Module 2b. Hydrology and Hydraulics Free-Surface Hydrodynamics Introduction to Free Surface Hydrodynamics 1-D Channel Flow and Equations Uniform and Non-uniform Flow Computations 2-D and 3-D Shallow Water Equations Hydraulics Laboratory (a visit to TU Delft) Engineering Hydrology Engineering Hydrology Workshop Geographical Information Systems and Remote Sensing 19

20 Subjects Module 3. Information Technology and Software Engineering Software Engineering in Python Information and communication technology Introduction to database systems Module 4. Modelling Theory and Computational Hydraulics Equations of water flows Modelling theory and uncertainty Numerical methods I 20

21 Subjects Module 5. Modelling and Information Systems Numerical methods II Advanced GIS, exercises using QGIS and ArcGIS River modelling, exercises using Mike 11 and SOBEK Modelling systems development, exercises in Python 21

22 Subjects Module 6. Artificial Intelligence and Operational Water Management Introduction to optimisation, exersise Operational water management, exercises Introduction to data assimilation Computational intelligence and data-driven modelling, exercises in building artificial neural network models 22

23 Subjects Module 7. River Basin Modelling Catchment modelling, exercise with NAM Groundwater modelling, exercise with MODFLOW, MIKE-SHE River basin management, exercise with RIBASIM Module 8a. River Flood Analysis and Modelling Climate change and its impact on hydrology (common with module 8b) Introduction to 1D2D, 2D modelling River flood analysis, exercises with HEC-HMC River flood modelling, exercises with HEC-HMC, HEC-RAS River morphology modelling Uncertainty in Flood Modelling 23

24 Subjects Module 8b. Urban Flood Management and Disaster Risk Mitigation Climate change and its impact on hydrology Ethics of risk Introduction to 1D2D, 2D modelling Managing urban flood disasters Structural and Non-structural Urban Flood Management Measures Urban Flood Modelling and Evaluation of Flood Risks, exercise with MIKE-URBAN, MIKE-21 24

25 Subjects Module 9. Fieldtrip and Fieldwork Two week study tour in Florida, USA Module 10. Flood Risk Management Introduction to flood risk management 1D-2D modelling, exercise with SOBEK-RURAL, HEC-RAS Dutch experiences in FRM Fieldtrip Flood forecasting Flood risk analysis and case studies Flood risk mapping, exercises using HEC-RAS, ArcGIS 25

26 Subjects Module 11. Hydroinformatics for Decision Support Decision support systems, exercises with mdss4 Software technologies for integration, exercises Systems analysis in water resources, exercises Module 12. Summer courses - Advanced Hydroinformatics Introduction to Scripting Languages Statistics and time series analysis Calibration of a physically-based hydrological model Optimised operation of WDS Artificial Intelligence for hydrological modelling 26

27 Subjects Module 13. Groupwork Module 14. Thesis Research Proposal Development Selection of research topic Proposal drafting Proposal presentation Module 15. Research phase, leading to a thesis (6.5 months) Carried out at IHE Delft, at a consutancy, or at a technological institute (Deltares, DHI, HR Wallingford, etc.) Typically the study is connected to a real-life project In 20% of cases results in a publication 27

28 Titles of some MSc theses Application of artificial intelligence techniques to flood forecasting in the upper reach of the Huai river, China Genetic algorithms in optimal management of storage areas for flood risk reduction using detailed spatial data: case study in Huai River, China Decision Support System for The European River Flood Occurrence and Total Risk Assessment System Optimal Reservoir Control, Dong Nai River Basin, Vietnam Flood Inundation Mapping Using Global Datasets: Wangchu Basin, Bhutan Modelling of water quality in Taihu Lake, China Uncertainty in modelling of water distribution networks for demand management and leakage control Web-based Decision Support System using WEAP Water Allocation Model for Coello Basin, Colombia E-Aid: Smartphone and Web Applications for Community-Based Disaster Management in Accra, Ghana Bridging the Gap between Communities and Responding Institutions During Flood Events Application of global datasets and data assimilation to a distributed hydrological model in the Canadian Sub-Arctic 28

29 Value of MSc research projects Applying knowledge, and mastering the use of technologies and tools Work on a real-life project Developing project management and writing skills Communication with experts in various countries Gaining real research experience Gaining work experience, when doing research at consulting companies, water management departments, or technological institutions (Deltares, DHI, etc.)

30 Fieldtrip to Florida (of Hydroinformatics specialization) With visits and fieldwork: South Florida Water Management District, US Geological Survey, Atlantic University, Everglades National Park, Green Cay Wetlands, etc. and some free time in weekends 30

31 Hydroinformatics participants from China,

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37 Hydroinformatics Chair group: staff 37

38 Hydroinformatics PhD Fellows Graduate of Wuhan University 38

39 Hydroinformatics: conclusion Hydroinformatics follows a holistic approach - concentrate on the whole cycle: observation (data), modelling and forecasting, artificial intelligence, optimization, decision support, impact analysis Hydroinformatics integrates data, models and people Training professionals in hydroinformatics tools is the key for smart water management 39

40 What is unique about the Hydroinformatics programme at IHE Delft Combination of fundamentals, advanced IT-based technologies, models and artificial intelligence, with practical applications: this combination is unique Serious MSc research, applications to real practical projects, often leading to publications Unique international atmosphere of IHE Delft exposure to Dutch expertise in water Hydroinformatics graduates are in great demand, find good jobs; one third of them continue with PhD What Hydroinformatics alumni say... this course has opened the new horizons in my professional life 40

41 Want a Master degree with excellent job opportunities? welcome to IHE Delft 扫描微信 维码, 与学长学姐交流更多关于 IHE-Delft 的信息吧