222.579 Groundwater Modelling
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023S, VU, 3.0h, 4.0EC


  • Semester hours: 3.0
  • Credits: 4.0
  • Type: VU Lecture and Exercise
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to... select suitable modeling software for solving problems in groundwater management, list the benefits of groundwater models for answering fundamental questions in water management, list suitable types of models for specific problems, list their assumptions and limitations, select suitable input data and boundary conditions, and calibrate and test the model sensitivity based on a simple practical exercise.

Subject of course

Introduction into the field of groundwater resource management

Conveying the benefit of groundwater models for answering basic questions related to water management

Introduction into the methodological principles: model types, assumptions, and limits, input data, boundary conditions, calibrating and validating the model accuracy and determining uncertainties

Description of practical case studies.

Step-by-step instruction for planning and conceptualizing a numerical groundwater model for a practical application, subsequent independent application with an available model software.

Presentation of the chosen procedure and results of the question related to water management and subsequent discussion.

Teaching methods

Hands-on exercises, Introduction to the Software MODFLOW, theory lectures, autonomous working on a specific groundwater model in pairs and oral presentations.

Mode of examination


Additional information

Einführende Literatur

Applied Groundwater Modeling, MP. Anderson, WW. Woessner

Introduction to groundwater modeling: finite difference and finite element methods, HF. Wang, MP. Anderson

Skriptum zur Grundwassermodellierung, AP. Blaschke

Europäische Wasserrahmenrichtlinie (http://ec.europa.eu/environment/water/water-framework/index_en.html)



Course dates

Fri13:00 - 16:0003.03.2023Seminarraum AD 03 - 1 Einführung in die methodischen Grundlagen der Grundwassermodellierung & Grenzen der Anwendung
Fri09:00 - 11:0010.03.2023Seminarraum AD 03 - 1 Bestimmung der hydraulischen Durchlässigkeit mit Übungsbeispiel & Tracermethoden
Fri09:00 - 11:0024.03.2023Seminarraum AD 03 - 1 Theoretische Grundlagen und praktische Auswertung eines Pumpversuches mit Beispiel stationäre Pumpversuchsauswertung
Fri09:00 - 11:0031.03.2023Seminarraum AD 03 - 1 Einführung in die Untergrunderkundungen als Basis der Grundwassermodellierung
Fri09:00 - 11:0021.04.2023Seminarraum AD 03 - 1 Herleitung der Grundgleichungen numerischer Grundwassermodelle & Einführung in die Anwendung eines numerischen Grundwassermodells
Fri15:00 - 17:0028.04.2023Seminarraum AD 03 - 1 Übung: Anwendung eines analytischen Grundwassermodells
Fri09:00 - 11:0012.05.2023Seminarraum AD 03 - 1 Übung: Anwendung eines numerischen Grundwassermodells - I
Fri09:00 - 12:0026.05.2023Seminarraum AD 03 - 1 Übung: Anwendung eines numerischen Grundwassermodells - II
Fri09:00 - 12:0009.06.2023Seminarraum AD 03 - 1 Übung: Anwendung eines numerischen Grundwassermodells - IV
Fri13:00 - 16:0016.06.2023Seminarraum AD 03 - 1 Übung: Anwendung eines numerischen Grundwassermodells - III
Fri09:00 - 12:0023.06.2023Seminarraum AD 03 - 1 Themenspezifisches Referat

Examination modalities

The evaluation includes an oral exam, the active participation in the practical exercises and their submission, a 10 min presentation and a technical report about the elaborated groundwater model. The attendance at all model exercises is a prerequesite for a positive evaluation of this lecture.

Course registration

Begin End Deregistration end
05.02.2023 13:00 24.02.2023 16:00 24.02.2023 16:00

Registration modalities

Compulsory attendance at the exercises


Study CodeObligationSemesterPrecon.Info
066 505 Civil Engineering Science Mandatory elective
066 566 Environmental Engineering Mandatory elective


No lecture notes are available.

Previous knowledge

Grundlagen der Statistik, ingenieurmäßige Darstellung von Methoden und Berechnungsergebnissen mit einer geeigneten Hilfssoftware (z.B. Excel, R, Matlab,¿).


Preceding courses

Continuative courses