Available in 2024
Course code

CIVL6431

Units

10 units

Level

6000 level

Course handbook

Description

This course brings together a general understanding of environmental physics, acquisition and use of environmental data, and numerical modelling of earth system processes. Students gain experience with several numerical methods and management tools for addressing environmental degradation under changing climate.


Availability2024 Course Timetables

Callaghan

  • Semester 2 - 2024

Learning outcomes

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

1. Demonstrate a broad understanding of the Australian environment, with particular emphasis on the atmospheric environment and soils.

2. Illustrate the theoretical background of land surface transport processes.

3. Employ adequate skills in environmental monitoring (including data collection, storage, retrieval and analysis).

4. Discuss environmental models of land surface processes and apply their knowledge through hands-on experience with hydrological models.

5. Apply model-based tools for management of major environmental issues.

6. Research the literature and apply to practical problems.


Content

  • Natural environment
  • Climate and weather (principles, Australian climates)
  • Soils (physical, chemical, biological characteristics; soil formation; Australian soils)
  • Process models
  • Environmental modelling (introduction to distributed models, heterogeneity, effective parameters, sub-grid parameterisations, model fitting, scale effects)
  • Modelling soil-vegetation-atmosphere transfer processes (SVATs)
  • Soil erosion (principles, comparison of models, applications) (SOILOSS)
  • Soil fertility and vegetation modelling  

Requisite

This course has similarities to CIVL3431. If you have successfully completed CIVL3431, you are not eligible to enrol in this course.


Assumed knowledge

Content covered in courses CIVL4330 (previously CIVL3330) Hydrology; CIVL2040 Engineering Probabilities and CIVL2060 Numerical Methods or CIVL2050 Engineering Computations and Probability; SURV3650 Spatial Data Systems and Remote Sensing.


Assessment items

Written Assignment: Written Assignment

Report: Research Investigation

Formal Examination: Formal examination


Contact hours

Semester 2 - 2024 - Callaghan

Computer Lab-1
  • Face to Face On Campus 1 hour(s) per week(s) for 13 week(s) starting in week 1
Lecture-1
  • Face to Face On Campus 1 hour(s) per week(s) for 13 week(s) starting in week 1
Lecture-2
  • Face to Face On Campus 2 hour(s) per week(s) for 13 week(s) starting in week 1

Course outline

Course outline not yet available.