Land Surface Process and Management

10 Units

This course brings together a general understanding of environmental physics, acquisition and use of environmental data, and numerical modelling of transport of particles and nutrients. Students gain experience with several management tools for addressing environmental degradation, focusing on erosion and salinity.

Faculty Faculty of Engineering and Built Environment
School School of Engineering
Availability Semester 2 - 2018 (Callaghan)
Learning Outcomes

On successful completion of this 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. Understand the theoretical background of land surface transport processes.
  3. Demonstrate 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. Develop a working knowledge of model-based tools for management of major environmental issues, including salinity and erosion.
  6. Research the literature and apply to practical problems.
  • 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  
  • 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 Hydrology; CIVL2040 Engineering Probabilities; CIVL2060 Numerical Methods; SURV2650 Spatial Data Systems and Remote Sensing.
Assessment Items
  • Written Assignment: Analysis of climate variables, hydrological modelling, and sensitivity analysis
  • Report: Research investigation
  • Formal Examination: Formal examination

Contact Hours



Face to Face On Campus 3 hour(s) per Week for Full Term starting week 1

Timetable 2018 Course Timetables for CIVL6431
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