Available in 2018

Course handbook


Introduces the notions of mixing, diffusion and dispersion modelling. It extends the ideas of CIVL2310 Fluid Mechanics to include methods of modelling surface water flows. Modelling of surface water transport processes using convection-diffusion equations and particle tracking methods are used. Aquatic chemical and biological processes are described, their kinetics examined and a range of models are illustrated and used. Methods of estimation of parameters in water quality or ecosystem models are introduced and used.

Availability2018 Course Timetables


  • Semester 2 - 2018

Learning outcomes

On successful completion of the course students will be able to:

1. To give students a thorough grounding in hydrodynamic, mixing and dispersion processes

2. To provide students with a thorough grounding in the kinetics of chemical and biological processes in aquatic systems

3. To give students experience in the construction and use of hydrobiological systems.

4. To ensure that students understand the ideas and methods of parameter estimation in predictive models.

5. To give students experience in the use of state-of-the-art hydrobiological models


  • Introduction to models.
  • Types of models.
  • Transport concepts and definitions.
  • Modelling the diffusion equation.
  • Physical processes in water bodies.
  • Dispersion processes.
  • Jets and plumes.
  • Mixing in rivers and estuaries.
  • Equations of fluid flow.
  • One-dimensional flow.
  • Two and three-dimensional flow modelling.
  • Introduction to physical sediment processes.
  • Sediment transport.
  • Aquatic biology/chemistry.
  • Simple deterministic biological models - predator prey, nutrient limits.
  • More complex biological models involving transport.

Assumed knowledge

Content covered in courses CIVL2310 Fluid Mechanics; CIVL3330 Hydrology; CIVL2050 Engineering Computations and Probability

Assessment items

Written Assignment: Assignment 1

Written Assignment: Assignments 2 - 5

Quiz: Quizzes

Contact hours


Computer Lab

Face to Face On Campus 2 hour(s) per Week for Full Term


Face to Face On Campus 2 hour(s) per Week for Full Term