WATER RESOURCES ENGINEERING

The course aims to provide advanced knowledge and skills to address the most pressing hydraulic and environmental challenges related to water resources management, water supply systems, and drainage systems. Students will be able to:
- Design and manage urban water systems, integrating advanced design procedures with environmental and economic considerations;
- Apply modeling and computational techniques for the analysis of water resource management infrastructures.

Upon completion of the course, students will be able to:
- Identify and address complex problems related to water resources and urban water systems;
- Use modeling tools to design and optimize water distribution and urban drainage systems;
- Apply knowledge of surface hydrology and open-channel flow to design water management systems;
- Analyze and mitigate hydraulic risk in urban environments;
- Integrate environmental and economic considerations into the design of water systems.

Basic knowledge of hydraulics, differential calculus, and probability theory.

- Water distribution systems: main components, critical issues, modeling of water distribution and demand, design criteria;
- Fundamentals of surface hydrology: hydrological cycle, precipitation measurement and statistics, time of concentration, surface runoff, hydrological and hydraulic runoff models;
- Fundamentals of open-channel flow: continuity, energy, and momentum equations, specific energy, free-surface profiles;
- Design of sewer systems: urban drainage systems, separate and combined sewers, flows in sanitary sewer systems;
- Design of stormwater collection and management systems: inlet structures, conduits, manholes, stormwater control systems (combined sewer overflows, detention and retention structures).

Evaluation of written reports on practical exercises;
Oral examination covering the course topics; Calculation of hydrological quantities; Completion and discussion of practical assignments.

oral

The lecturer has a duty to ensure that the rules regarding the authenticity and originality of exam tests and papers are respected. Therefore, if there is suspicion of irregular conduct, an additional assessment may be conducted, which could differ from the original exam description.

Student assessment is designed to evaluate the following levels of knowledge and understanding:
Grade 28–30 cum laude (30L) Excellent knowledge of the subject, with the ability to apply acquired knowledge and tools deductively to new and previously unseen problems;
Grade 24–27: Good knowledge of the subject, with the ability to apply acquired knowledge and tools to problems similar to those previously addressed;
Grade 18–23: Satisfactory knowledge of the subject, with the ability to apply acquired knowledge and tools to problems similar to those previously addressed, with some conceptual and/or computational inaccuracies.

- Lectures;
- Practical sessions involving the application of modeling and computational methods.