Thesis subject

Optimizing agricultural management in view of surface water quality

The Environmental Systems Analysis Group provides the possibility for students to do their thesis in collaboration with our group. The topics mentioned below are part of a larger theme. Please feel free to contact Prof De Vries, Dr Ros or Ms Young MSc (right) for more information.

Optimizing agricultural measures to improve surface water quality (nutrient concentrations) for different field properties and management strategies

  1. Creative data preparation and interpretation of agricultural fields, catchments and satellite information to study the main drivers controlling N and P concentrations in surface water (related to soil properties as well as the land management done);
  2. Focus on data collection, preparation and first statistical analysis via simple machine learning algorithms.  Basic R programming skills required;
  3. Give site specific recommendations for best agricultural measures reducing N and P load;
  4. Test and evaluate this for one waterboard region in the Netherlands.

Optimizing agricultural measures to improve surface water quality (biodiversity) for different site properties

  1. Creative data preparation and interpretation of agricultural fields, catchments and satellite information to study the main drivers controlling the response of vegetation / food web / plant groups in surface water;
  2. Focus on data collection, preparation and first statistical analysis via simple machine learning algorithms. Basic R programming skills required;
  3. Give site specific recommendations for best agricultural measures reducing N and P load;
  4. Test and evaluate this for one waterboard region in the Netherlands.

Evaluating cost effectiveness of agronomic measures for water quality

  • Collect and evaluate costs and effectiveness of agricultural measures for reducing nutrient loading to surface water;
  • Develop concepts / ideas to make site specific recommendations for optimum combinations of agronomic measures;
  • Activities: Literature search, data collection en exploration and statistical analysis, reporting;
  • Test and evaluate this for one or more regions in the Netherlands.