Examination arrangement

Course content

This course introduces methods and technologies for water engineering, including hydraulic models, simulation and visualization techniques for drinking water, stormwater and sewer networks. By the end of the course, students will be able to model and simulate water, wastewater and stormwater systems; as well as develop strategies for effective maintenance and rehabilitation of such systems in a cost-effective and sustainable manner. The students will also have a thorough understanding of sensor deployment techniques, virtual prototyping and AI/Machine Learning techniques as well as their applications for the management of water, wastewater and stormwater infrastructure.

Drinking water pipenetwork

• General principles for pipenetwork sysnthesis
• Water transmission lines and distribution systems
• Branched and looped pipenetwork analysis
• 1D-2D Modelling and simulation of pipe-network (MIKE-URBAN)
• Sensor deployment optimization techniques for leakage detection.
• Application of AI/ML for water quality predictions in drinking water pipelines

Wastewater collection system

• Steady flow hydraulics
• Unsteady gravity flow hydraulics
• Force main, pumping hydraulics and pump stations
• Wastewater collection system design, modelling and simulation (MIKE-URBAN)
• Sensor deployment optimization techniques for sewer overlows
• Application of AI/ML for water quality predictions in wastewater collection sytems

Stormwater collection system

• Urban hydrology and rainfall-runoff models
• Hydrologic routing and computation of detention storage
• Evaluation of erosion risks in rivers and canals
• Design of hydraulic structures (canals, culvets) including use of computer models (HY-8), weir hydraulics, street and highway drainage systems.
• 1D-2D modelling, simulation and visualization of urban storm water events (MIKE-URBAN)
• Stormwater management systems including blue-green technologies
• Sensor deployment techniques and tools for real-time stormwater modelling and visualization
• Application of AI/ML for stormwater simulations.

Construction, Rehabilitation and maintenance of pipe networks

• Pipe materials, stress analysis and statistical deterioration models
• No-dig methods
• Leakage detection methods
• Statistical, AI and Machine Learning Techniques for pipe deterioration modelling and predictive maintenance
• VR/AR applications in pipe-network construction and rehabilitation.

Learning outcome

Learning outcome-Knowledge

• Have a thorough and comprehensive knowledge of the hydraulic principles and methods in the design of water, wastewater and stormwater pipenetworks;
• Have a thorough knowledge on different tools and softwares used in the planning, design, modelling, simulation and rehabilitation of water, wastewater and stormwater pipe-networks;
• Have a good knowledge of the conventional and nature-based systems for stormwater management, particularly blue-green technologies.
• Have thorough knowledge on different sources of information, codes and guidelines to aid the design of pipenetworks.
• Have a thorough knowledge on the application of sensor technologies and AI/Machine Learning in the operation and predictive maintenance of water, wastewater and stormwater pipe networks;
• Have knowledge on the application of VR/AR/MR technologies for pipe-network analysis.

Learning outcome-Skills

• Able to apply hydraulic principles and concepts to design and analyse water, stormwater and wastewater pipe networks for a given locality.
• Able to use softwares for the hydraulic design and analysis of water transmission and distribution networks.
• Able to use softwares for the hydraulic analysis of wastewater collection systems
• Able to use softwares for the hydraulic design and analysis of stormwater collection systems
• Able to design and implement an appropriate scheme for urban stormwater management.
• Able to evaluate an existing pipe-network system for rehabilitation purposes.

Learning outcome-competence

• Communicate effectively to stakeholders and professionals of different backgrounds.
• Competent in working in a multidisciplinary engineering team.
• Contribute to the development of innovative approaches in the water and sanitation sector.

Learning methods and activities

1) Lectures with integrated exercises (both hand calculations and computers), 2) Compulsory assignments related to the computer models used in the course, 3) Hydraulic lab exercise and field work, 4) Excursions to relevant facilities, 5) Dedicated exercise sessions if a teaching assistant is available.

Specific conditions

Recommended previous knowledge

IP500020 Introduction to Smart Water and Environmental Engineering

Course materials

Selected chapters from:

• Chin, David (2013): Water-Resources Engineering, 3rd edition (International Edition).
• Butler, D., Digman, C., Makropoulous, C. and Davies, J.W. (2018). Urban Drainage (4th Edition)
• Trifunovic, N. (2008). Introduction to water distribution. Taylor & Francis, London.

Selected journal articles

Lecture notes