Comparative study of nitrate leaching models on a regional scale

Area of Science:

• Environmental Science
• Hydrology
• Agricultural Science

Background:

• Intensive agriculture in Europe and North America has led to elevated nitrate concentrations in groundwater, particularly in sandy soil regions.
• Accurate quantitative assessment of groundwater quality development is crucial for effective environmental management.

Purpose of the Study:

• To compare the predictive performance of four different nitrate leaching models against observed nitrate concentrations in upper groundwater.
• To evaluate simulation models for their ability to predict nitrate leaching in sandy soil regions.

Main Methods:

• Observed nitrate concentrations from three Dutch sandy soil locations were used to test model performance.
• Four simulation models were evaluated: ANIMO (dynamic complex process-oriented), MM-WSV (meta-model), WOG (simple process-oriented), and NURP (semi-empiric).
• Statistical criteria were employed to assess the performance of each model.

Main Results:

• The ANIMO model demonstrated the best performance in predicting nitrate concentrations in upper groundwater.
• The MM-WSV meta-model was the second-best performer, while the WOG model showed the poorest performance.
• ANIMO's strong performance in the Klooster catchment was attributed to detailed farm-level data on manure and fertilizer use.

Conclusions:

• The ANIMO model is a valuable tool for regional-scale prediction of upper groundwater nitrate concentrations.
• For scenarios lacking comprehensive data, the MM-WSV meta-model serves as a viable alternative.
• WOG and NURP models are suitable for long-term, regional average nitrate concentration predictions.