The University of Newcastle, Australia
Available in 2019

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.

Availability2019 Course Timetables


  • Semester 2 - 2019

Learning outcomes

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

1. Formulate hydrodynamic, mixing and dispersion problems in aquatic environments.

2. Formulate chemical and biological problems in aquatic environments.

3. Apply and optimise state-of-the-art entry level hydrobiological models in defined applications.

4. Estimate parameters in selected predictive 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 or CIVL2040 Engineering Probabilities and CIVL2060 Numerical Methods

Assessment items

Written Assignment: Assignment 1

Written Assignment: Assignment 2

Written Assignment: Assignment 3

Written Assignment: Assignment 4

Written Assignment: Assignment 5

Quiz: Quiz

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