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Dimitri SolomatineProfessor of Hydroinformatics

d.solomatine@un-ihe.org

Hydroinformatics Master studyat IHE Delft

Hydroinformaitcs started in IHE Delft in 1991, by Mike Abbott

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Hydroinformatics

information and communication technology

applied to problems of aquatic environment

Michael B. Abbott

Roland K. Price

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 people4

International recognition of Hydroinformatics

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Hydroinformatics system: flow of information

Earth observation, monitoring, data mining

Numerical Weather Prediction and Climatic Models

Computational intelligence, integration with hydrologic and hydraulic models

Access to modelling results

Data Models Knowledge Decisions Impacts

Decision support and optimization

Map of flood probability

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

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Books…

19912008

2010

2013Journal

Papers…

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Examples of our research projects related to Hydroinformatics

EU funded projects (1998–) TELEFLEUR: “Telematics assisted handling of flood emergencies in urban areas”, 1998-2000 OSIRIS - Operational Solutions for the Management of Inundation Risks in the Information Society (2000 – 2002) FLOODsite: “Integrated flood risk analysis and management methodologies” (2004-2008) (managed turnover

€450000) SWITCH: Managing Water for the City of the Future (2007-2011) LENVIS: Localised environmental and health information services (2008-2011) EnviroGRIDS: Gridded Earth Observation System for Assessing and Predicting Black Sea Basin Sustainability and

Vulnerability (2009-2012) 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” (2000-2002) “Data mining and data-driven modelling, with applications in civil engineering” (2000-2003), managed turnover

€800,000 Anticipatory water management (2005-2009) “Modelling of sedimentation processes” (2005-2009), managed turnover € 80,000 “Safety from flooding” (2005-2009), managed turnover € 400,000 “Water Framework Directive Tools” (2005-2009), 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 (2009-2012) ProACC – Climate change impacts on Mekong river delta ACCION – Adaptation to Climate Change Impacts on the Nile River Basin (2009 – 2011)

+ PhD projects funded by foreign governments

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Education in Hydroinformatics

Masters ProgrammesHydroinformatics 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) (2005 – 2017) 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)

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Hydroinformatics programme at IHE

Fundamentals, hydraulic, hydrologic and environmental processes

Physically-based simulation modelling

and tools

Data systems, remote sensing, GIS, cloud computing, software engineering

Artificial intelligence and data-driven

modelling

Integration of technologies, elective advanced topics, transferrable skills

MSc research phase

Systems analysis, control, optimization,

decision support

• ArcGIS• QGIS

• SOBEK• RIBASIM• Delft 3D• SWAT• EPANET• MOUSE• SWMM

• MIKE 11• HEC-HMS • HEC-RAS• MIKE 21• MIKE SHE• MODFLOW• WEAP

• Python, MATLAB toolboxes• LINGO• GLOBE• mDSS4

• WEKA• NeuralMachine• Python SciKit-Learn

• Matlab• PythonTools

• Java • JavaScript, PHP

with applications to:- flood risk management- urban water systems- river basin management - coastal systems- groundwater- environmental systems

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Block 1. Fundamentals

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

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

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6 months

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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.)

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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…

Hydroinformatics participants from China,2005-2019

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Hydroinformatics Chair group: staff

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Hydroinformatics PhD Fellows

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Graduate of Wuhan University

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

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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

Want a Master degree with excellent job opportunities ?

– welcome to IHE Delft

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www.un-ihe.org/hydroinformatics