3 x 1 hour lectures weekly 6 x 3-hour workshops per semester
External Option 4 x 6-hour of on-line exercises per semester 4 x 4-hour tutorials per semester 1 x 40-hour practical per semester
^ = may be enrolled concurrently
1 1 of EASC8741, WARM8741 2 ^ 1 of EASC8700, WARM8700, EASC9700 3 ^ 1 of EASC8772, WARM8772, EASC9772 4 Admission into GCGH-Graduate Certificate in Science (Groundwater Hydrology) 4a Admission into GDPGH-Graduate Diploma in Science (Groundwater Hydrology) 4b Admission into MSCGH-Master of Science (Groundwater Hydrology) 4c Admission into MEMG-Master of Environmental Management 4d Admission into GDPSCWRM-Graduate Diploma in Science (Water Resources Management) 4e Admission into GCSCWRM-Graduate Certificate in Science (Water Resources Management) 4f Admission into MSCWRM-Master of Science (Water Resources Management) Must Satisfy: ((1) or (2) or (3)) and ((4 or 4a or 4b or 4c or 4d or 4e or 4f))
Enrolment not permitted
1 of EASC3742, WARM8742 has been successfully completed
This topic assumes a basic knowledge of groundwater flow theory in addition to first-year University Earth Sciences. It will be assumed students have an undergraduate degree in environmental science, hydrology or a relevant discipline of science and engineering. A basic knowledge of computers is highly desirable.
This topic offers the basic knowledge needed to understand and to be able model fluids in motion in porous media (groundwater). Following an introduction to general theoretical aspects of earth fluid dynamics, students focus on flows in porous media with applications of Darcy's Law in several case studies.
The educational aim of this topic is to introduce students to physical laws applied to describe, understand and predict the behaviour of fluids in motion in porous media.
Expected learning outcomes
At the completion of the topic, students are expected to be able to:
Outline the physical laws that describe fluids in motion in porous media
Apply constitutive laws of porous media flow using numerical modelling to a wide range of settings
Apply computational modelling of complex dynamical systems
Demonstrate enhanced problem-solving, critical-thinking and reasoning abilities
Key dates and timetable
Timetable details for 2019 are no longer published.
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