SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Modeling nutrient load changes from fertilizer application scenarios in six catchments around the Baltic Sea 
Authors:Thodsen, H., C. Farkas, J. Chormanski, D. Trolle, G. Blicher-Mathiesen, R. Grant, A. Engebretsen, I. Kardel and H.E. Andersen 
Year:2017 
Journal:Agriculture 
Volume:7(5) 
Pages: 
Article ID:41 
DOI:10.3390/agriculture7050041 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic & pollutant 
Primary Application Category:nitrogen cycling/loss and transport 
Secondary Application Category:sensitivity analysis 
Watershed Description:1059 km^2 Odense River in Denmark, 6,721 km^2 Parmu River in Estonia, 6,142 km^2 Nevezis in Lithuania, 1,539 km^2 Plonia in Poland, 18,108 km^2 Kalix River in Sweden, and 21,812 km^2 Norrstrom River in Sweden; all of which drain to the Baltic Sea. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:The main environmental stressor of the Baltic Sea is elevated riverine nutrient loads, mainly originating from diffuse agricultural sources. Agricultural practices, intensities, and nutrient losses vary across the Baltic Sea drainage basin (1.75 × 106 km2 , 14 countries and 85 million inhabitants). Six “Soil and Water Assessment Tool” (SWAT) models were set up for catchments representing the major agricultural systems, and covering the different climate gradients in the Baltic Sea drainage basin. Four fertilizer application scenarios were run for each catchment to evaluate the sensitivity of changed fertilizer applications. Increasing sensitivity was found for catchments with an increasing proportion of agricultural land use and increased amounts of applied fertilizers. A change in chemical fertilizer use of ±20% was found to affect watershed NO3-N loads between zero effect and ±13%, while a change in manure application of ±20% affected watershed NO3-N loads between zero effect and −6% to +7%. 
Language:English 
Keywords:agricultural management scenarios; Baltic Sea; environmental modelling; SWAT