Universität Wien

280216 PR PIK2 Groundwater Modelling (PI) (2019W)

Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 18 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

The course takes place from 17.02.2020 to 21.02.2020 in EDV room 4 (UZA2). Potential room changes will be announced sufficiently ahead of time. It is mandatory and required to attend 100% of the course.

  • Monday 17.02. 08:00 - 17:00 EDV-Raum 4 2C502 5.OG UZA II
    Geol.-Praktikumsraum 2B201 2.OG UZA II
  • Tuesday 18.02. 08:00 - 17:00 EDV-Raum 4 2C502 5.OG UZA II
    Geol.-Praktikumsraum 2B201 2.OG UZA II
  • Wednesday 19.02. 08:00 - 17:00 EDV-Raum 4 2C502 5.OG UZA II
    Geol.-Praktikumsraum 2B201 2.OG UZA II
  • Thursday 20.02. 08:00 - 17:00 EDV-Raum 4 2C502 5.OG UZA II
    Geol.-Praktikumsraum 2B201 2.OG UZA II
  • Friday 21.02. 08:00 - 17:00 EDV-Raum 4 2C502 5.OG UZA II
    Geol.-Praktikumsraum 2B201 2.OG UZA II

Information

Aims, contents and method of the course

Students know the basic equations for groundwater flow and transport in 3D space. They know analytical and numerical methods to solve flow and transport problems. They are able to build a simple groundwater model and understand boundary conditions, numerical discretization, calibration and validation of groundwater flow models.

Assessment and permitted materials

During the course, exercises with a total of 100 points have to be solved. For positive completion at least 51 points have to be attained AND 100% of presence at the course (17.02.2020 - 21.02.2020) is mandatory.

Minimum requirements and assessment criteria

MA ERD 8 (for Master Earth Sciences) or 280215-1 VU PS2 Groundwater Systems (for Master Environmental Sciences)

Examination topics

Questions related to course content on numerical groundwater modeling as well as the construction of a simple 3D groundwater model from scratch according to instructions as well as its application answer simplified prediction and optimization tasks.

Reading list

Will be provided during the course.

Association in the course directory

Last modified: Th 31.10.2024 00:16