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.
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.
Hands-on exercises, Introduction to the Software MODFLOW, theory lectures, autonomous working on a specific groundwater model in pairs and oral presentations.
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)
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.
Compulsory attendance at the exercises
Grundlagen der Statistik, ingenieurmäßige Darstellung von Methoden und Berechnungsergebnissen mit einer geeigneten Hilfssoftware (z.B. Excel, R, Matlab,¿).