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

Host institution

Wageningen University, The Netherlands.

Project description

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. This project 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. The aims of this project are: 1) Integrate existing modelling approaches for catchment nutrient flows (MARINA) and lake ecosystems (PCLake ); 2) Analyze the impacts of future climate change and potential adaptation measures on water quality in a selected river/reservoir/lake basin; 3) Evaluate most promising adaptation strategies to reduce future nutrient driven water quality issues.


Netherlands Institute of Ecology, The Netherlands. 4 months.
Catalan Institute for Water Research, Spain. 3 months.


Floran Clopin

smart nutrient management
Adaptation measures