CEG8506 : Hydrosystems Modelling

Semester 1 Credit Value: 10
ECTS Credits: 5.0


The module aims are to:
• Introduce different types of modelling approaches used to represent and manage natural catchment and river systems, and water infrastructure.
• Develop understanding of methods and skills used in hydrosystems modelling.
• Apply different modelling approaches to practical problems relevant to the water industry.

The module introduces the background to different types of modelling used to represent both natural hydrological systems and the water resources infrastructure which is part of the management of water in catchments. Different modelling approaches are described, from relatively simple lumped models through to complex physically based models for catchments and river systems. Essential tools and methods are presented to address problems of model calibration and to take account of uncertainty in modelling. Advanced hydroinformatic tools are used, including software products currently used in the water industry, to demonstrate and practise practical application of the different modelling approaches.

Outline Of Syllabus

Models overview – purpose and philosophy, types – physically based, conceptual, stochastic, management, examples preview – rainfall, river, catchment, etc.
Modelling procedures – calibration, validation and uncertainty;
Practical- Calibration, validation and uncertainty using simple rainfall and runoff model;
Time Series Models – Markov, Poisson, NSRP and WG;
PRACTICAL - Time series and simple rainfall model
Catchment models – 1. Transfer Functions, Unit Hydrograph
Catchment models – 2. Bucket models, Topmodel, PDM type, G2G
PRACTICAL – Unit Hydrograph / FEH rainfall- runoff
Catchment models – 3. Physically Based Spatially Distributed Models: MIKE SHE, SHETRAN
River modelling – hydrodynamic river models; 1-D covered in detail, 2-D basic introduction
PRACTICAL – NOAH 1D – river modelling with calibration
Urban water modelling – Introduction to storm sewer system models, water distribution network models and models for pluvial flooding in urban areas

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion121:0021:00Coursework - numerical analysis
Guided Independent StudyAssessment preparation and completion11:151:151 hr Exam plus 15 minutes reading time.
Scheduled Learning And Teaching ActivitiesLecture201:0020:00N/A
Guided Independent StudyAssessment preparation and completion200:3010:00Revision for exam
Scheduled Learning And Teaching ActivitiesSmall group teaching121:0012:00Tutorials
Guided Independent StudyIndependent study135:4535:45Includes background reading and reading lecture notes for a full understanding of material.
Teaching Rationale And Relationship

The basic qualitative and quantitative understanding represented by the knowledge outcomes is imparted via a mix of formal teaching and discussions/small group teaching sessions with active student participation. The small group teaching sessions provide an opportunity for students to improve their grasp of the subject, to question the lecturer and to practise the analytical and solution techniques. One coursework assignment (written exercise) provides further opportunity for application of the acquired knowledge.

Assessment Methods

The format of resits will be determined by the Board of Examiners

Description Length Semester When Set Percentage Comment
Written Examination751A30Unseen written examination.
Other Assessment
Description Semester When Set Percentage Comment
Written exercise1M70Numerical Analysis (1 written exercise, approx 10 pages plus appendices)
Assessment Rationale And Relationship

Knowledge and understanding gained in this module should be versatile and extensive and its breadth is best examined through a formal examination of 1 hour with variety of question types to best suit the topics.

The written exercise (numerical analysis) assesses problem solving skills, numeracy, computer literacy and written communication skills. The written exercise (numerical analysis) involves the use of modelling software for flow in catchment streams. This is designed to test the student's ability to represent understanding of flow processes in a quantitative way, and to use software to support environmental assessments and decision-making.

Reading Lists