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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 10, 2012
Potential benefits of a spatially targeted regulation based on detailed N-reduction maps to decrease N-load from
A L Hansen1, J C Refsgaard1, J E Olesen2
1Department of Hydrology, Geological Survey of Denmark and Greenland, Øster Voldgade 10, 1350 Copenhagen K, Denmark.
Denmark needs to reduce nitrogen (N) pollution to coastal waters. Spatially targeted regulations, guided by N-reduction maps, can decrease total N-load by 8% without reducing fertilization inputs.
Area of Science:
- Environmental Science
- Agricultural Science
- Water Resource Management
Background:
- Denmark faces pressure to reduce nitrogen (N) load to coastal waters, adhering to the Baltic Sea Action Plan and EU Water Framework Directive.
- Agricultural N-runoff is a significant contributor, necessitating improved mitigation strategies.
Purpose of the Study:
- To evaluate the benefits of a new spatially targeted regulation for N-mitigation in agricultural areas.
- To assess how uncertainty in N-reduction maps impacts the efficiency of targeted regulations.
Main Methods:
- Analysis of N-reduction processes within the 85 km² Norsminde catchment, Denmark.
- Modeling the impact of relocating agricultural practices based on N-reduction maps.
- Investigating the effect of N-reduction map uncertainty and spatial resolution on regulatory efficiency.
Main Results:
- A spatially targeted regulation can decrease total N-load by up to 8% by optimizing agricultural practices without reducing fertilization.
- Identifying areas with low natural N-reduction is crucial for effective mitigation measure placement.
- Uncertainty in N-reduction maps reduces the efficiency of targeted regulations, but ensemble averaging can mitigate this.
Conclusions:
- Spatially targeted N-mitigation strategies offer potential benefits over uniform approaches for reducing agricultural N-load.
- Reducing uncertainty in N-reduction maps is key to maximizing the effectiveness of targeted regulations.
- Balancing spatial resolution and map uncertainty is essential for optimizing N-mitigation strategies.
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