Adaptation measured based on smart nutrient management at the catchment scale for future-proof water quality

  • 1 October, 2021
  • Wageningen University, Aquatic Ecology and Water Quality Management
  • dr ir MFLLW Lürling
  • dr ir JJM de Kleindr L de Senerpont Domis

Nutrient pollution is by far the most widespread water quality issue in many water systems such as reservoirs, lakes and rivers worldwide. Climate change is further influencing water quality through altered precipitation patterns and warmer temperatures that stimulate harmful cyanobacteria blooms.
This project aims to develop an integrated modelling tool to assess expected nutrient flows from land to water systems, to determine its impacts on water quality and to provide management decisions for mitigation. The PhD candidate will focus on quantifying nutrient flows from the catchment into the river/reservoir/lake basin of the Dnieper in Ukraine that will serve as an example case.
Modelling tools will be developed to determine the critical nutrient loads in selected reservoirs in the system. Scenario analyses with various combinations of measures will be run to evaluate the most promising set of interventions.
The combined MARINA/PCLake modelling builds on experiences gained for several lakes and reservoirs in China and Africa, and this project will further integrate these existing models for future analysis of water systems under changing pressures and will provide a tool for water managers to evaluate nutrient stress in combination with predicted climate change, as well as a tool to evaluate what the most promising interventions will be.


Floran Clopin

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