SWAT Literature Database for Peer-Reviewed Journal Articles

Title:A comprehensive sensitivity and uncertainty analysis for discharge and nitrate-nitrogen loads involving multiple discrete model inputs under future changing conditions 
Authors:Schürz, C., B. Hollosi, C. Matulla, A. Pressi, T. Erti, K. Schulz and B. Mehdi 
Journal:Hydrology and Earth System Sciences 
Volume (Issue):23(3) 
Article ID: 
URL (non-DOI journals): 
Broad Application Category:hydrologic & pollutant 
Primary Application Category:climate change and land use change 
Secondary Application Category:nitrogen cycling/loss and transport 
Watershed Description:275 km^2 Schwechat River and 948 km^2 Raab River, which are both located in eastern Austria. 
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Abstract:Environmental modeling studies aim to infer the impacts on environmental variables that are caused by natural and human-induced changes in environmental systems. Changes in environmental systems are typically implemented as discrete scenarios in environmental models to simulate environmental variables under changing conditions. The scenario development of a model input usually involves several data sources and perhaps other models, which are potential sources of uncertainty. The setup and the parametrization of the implemented environmental model are additional sources of uncertainty for the simulation of environmental variables. Yet to draw well-informed conclusions from the model simulations it is essential to identify the dominant sources of uncertainty. In impact studies in two Austrian catchments the ecohydrological model Soil and Water Assessment Tool (SWAT) was applied to simulate discharge and nitrate-nitrogen (NO􀀀3 -N) loads under future changing conditions. For both catchments the SWAT model was set up with different spatial aggregations. Non-unique model parameter sets were identified that adequately reproduced observations of discharge and NO􀀀3 -N loads. We developed scenarios of future changes for land use, point source emissions, and climate and implemented the scenario realizations in the different SWAT model in 7000 combinations of scenarios and model setups for both catchments. With all model combinations we simulated daily discharge and NO􀀀3 -N loads at the catchment outlets. The analysis of the 7000 generated model combinations of both case studies had two main goals: (i) to identify the dominant controls on the simulation of discharge and NO􀀀3 -N loads in the two case studies and (ii) to assess how the considered inputs control the simulation of discharge and NO􀀀3 -N loads. To assess the impact of the input scenarios, the model setup, and the parametrization on the simulation of discharge and NO􀀀3 -N loads, we employed methods of global sensitivity analysis (GSA). The uncertainties in the simulation of discharge and NO􀀀3 -N loads that resulted from the 7000 SWAT model combinations were evaluated visually. We present approaches for the visualization of the simulation uncertainties that support the diagnosis of how the analyzed inputs affected the simulation of discharge and NO􀀀3 -N loads. Based on the GSA we identified climate change and the model parametrization as being the most influential model inputs for the simulation of discharge and NO􀀀3 -N loads in both case studies. In contrast, the impact of the model setup on the simulation of discharge and NO􀀀3 -N loads was low, and the changes in land use and point source emissions were found to have the lowest impact on the simulated discharge and NO􀀀3 - N loads. The visual analysis of the uncertainty bands illustrated that the deviations in precipitation of the different climate scenarios to historic records dominated the changes in simulation outputs, while the differences in air temperature showed no considerable impact.