N<sub>2</sub>O Emissions from Two Austrian Agricultural Catchments Simulated with an N<sub>2</sub>O Submodule Developed for the SWAT Model
Cong Wang,
Christoph Schürz,
Ottavia Zoboli,
Matthias Zessner,
Karsten Schulz,
Andrea Watzinger,
Gernot Bodner,
Bano Mehdi-Schulz
Affiliations
Cong Wang
Institute for Hydrology and Water Management, Department of Water, Atmosphere and Environment, University of Natural Resources & Life Science, 1190 Vienna, Austria
Christoph Schürz
Institute for Hydrology and Water Management, Department of Water, Atmosphere and Environment, University of Natural Resources & Life Science, 1190 Vienna, Austria
Ottavia Zoboli
Institute for Water Quality and Resource Management, TU Wien, 1040 Vienna, Austria
Matthias Zessner
Institute for Water Quality and Resource Management, TU Wien, 1040 Vienna, Austria
Karsten Schulz
Institute for Hydrology and Water Management, Department of Water, Atmosphere and Environment, University of Natural Resources & Life Science, 1190 Vienna, Austria
Andrea Watzinger
Institute of Soil Research, Department of Forest and Soil Sciences, University of Natural Resources & Life Science, 3430 Tulln an der Donau, Austria
Gernot Bodner
Institute of Agronomy, Department of Crop Science, University of Natural Resources & Life Science, 3430 Tulln an der Donau, Austria
Bano Mehdi-Schulz
Institute for Hydrology and Water Management, Department of Water, Atmosphere and Environment, University of Natural Resources & Life Science, 1190 Vienna, Austria
Nitrous oxide (N2O) is a potent greenhouse gas stemming mainly from nitrogen (N)-fertilizer application. It is challenging to quantify N2O emissions from agroecosystems because of the dearth of measured data and high spatial variability of the emissions. The eco-hydrological model SWAT (Soil and Water Assessment Tool) simulates hydrological processes and N fluxes in a catchment. However, the routine for simulating N2O emissions is still missing in the SWAT model. A submodule was developed based on the outputs of the SWAT model to partition N2O from the simulated nitrification by applying a coefficient (K2) and also to isolate N2O from the simulated denitrification (N2O + N2) with a modified semi-empirical equation. The submodule was applied to quantify N2O emissions and N2O emission factors from selected crops in two agricultural catchments by using NH4NO3 fertilizer and the combination of organic N and NO3− fertilizer as N input data. The setup with the combination of organic N and NO3− fertilizer simulated lower N2O emissions than the setup with NH4NO3 fertilizer. When the water balance was simulated well (absolute percentage error 2O emissions was captured. More research to test the submodule with measured data is needed.