Hydrogeology: Data Collection and Processing

Course content

The course prepares attendants for MSc thesis work in the field of hydrogeology or other environmental sciences/fields. The course will focus on the planning of research/investigation activities, methodologies of data collection, data processing, and data presentation. The aim of the course is for the attandants to:

  • Acquire experience in the planning of research/investigation activities: For example, to decide, for a field study, the number of wells and where to place them.
  • Acquire hands-on experience on data collection: For example, installation of wells and piezometers, head measurements, and sampling for water chemistry or stable isotopes of water.
  • Learn how to systematically organize collected data in structured databases.
  • Learn how to process data in order to present high-quality graphs and illustrations for decision makers.

 

The attendants will be introduced to Phyton and QGIS (free, open source codes) as tools for data processing and presentation.

The course is a field course, but competences, skills, and knowledge gained are broadly applicable to laboratory or computerbased data collection as well. 

Attendants are expected to possess some experience in hydrological/environmental data interpretation from other courses. Accordingly, it is outside the primary scope of the course to specifically address how to jointly interpret hydrological, geological and water chemical data, although discussions on data interpretation are still welcomed and encouraged, as interpretation is an integral part of selecting the most informative and illustrative means of data processing and presentation.

Education

MSc Programme in Geology-Geoscience.

Learning outcome

Knowledge:

  • Phyton (free, open-source programming language).
  • QGIS (free, open-source GIS coupled to Phyton).
  • Aspects of database structuring.
  • Uncertainty evaluation in hydrology, water chemistry, and geology.

 

Skills:

  • To organize and conduct field data collection.
  • To assess experimental design aspects of planned research/investigation activities.
  • To evaluate the data types/entities needed in a database.
  • To create clear tables, graphs and illustrations addressing specific relations from which conclusions can be drawn.
  • To propagate data point uncertainty to uncertainty in a derived parameter.

 

Competences:

  • To design a reasoned data collection strategy for investigating a working hypothesis related to hydrogeological and solute transport problems.
  • To develop structured databases enabling solid and advanced data processing.
  • To evaluate suitable ways of presenting data/results in order to illustrate relationships which are informative and conclusive for the hypothesis.

First half of the course will cover the planning of field activities and the methods of data presentation later to be employed. The part will consist of at-home-tutorials (Excel, Phyton and QGIS), class room teaching, discussions and exercises.

Second half of the course: field trip, followed by data presentation and interpretation, initiating the writing the individual Assignment. This will be followed by group presentations at a seminar, to be held a week before the deadline for handing in the individual Assignment. The last week will be devoted to finishing up the individual Assignment.

Please see Absalon.

Bachelor's degree in Geology-Geoscience, Geography-Geoinformatics or other/similar environmental or geoscience background is recommended. Prior attendance on hydrogeology and hydrogeochemistry course(s) is strongly recommended.

Continuous oral individual and colletive feedback from teachers during the course. Oral peer- and teacherfeedback at group presentations given at the seminar near the end of the course. Written feedback, supplementing the mark, will be given to the final individual Assignment.

ECTS
7,5 ECTS
Type of assessment
Written assignment, Ongoing preparation throughout the course
The written assignment is prepared during the course and must be handed in during the exam week.
Aid
All aids allowed
Marking scale
7-point grading scale
Censorship form
No external censorship
Several internal examiners.
Criteria for exam assessment

See learning outcome.

Single subject courses (day)

  • Category
  • Hours
  • Preparation
  • 76
  • Theory exercises
  • 35
  • Field Work
  • 60
  • Project work
  • 35
  • English
  • 206