2021
DOI: 10.3390/atmos13010050
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N2O Emissions from Two Austrian Agricultural Catchments Simulated with an N2O Submodule Developed for the SWAT Model

Abstract: 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 … Show more

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Cited by 2 publications
(1 citation statement)
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“…The Bern3D Earth system model calculates N 2 O emissions based on denitrification and organic matter consumption and estimates an oceanic N 2 O budget of 4.5 ± 1.0 Tg N yr −1 [25]. Process-based models show good advantages to estimate aquatic N 2 O emissions in the absence of measured data and to predict the response of N 2 O fluxes to multifactor climate and environmental changes [25,79,121,122]. In addition, the process-based N 2 O emission model can be integrated with hydrological models to predict changes in N 2 O emissions in response to land use changes beside the water bodies [37,118,123].…”
Section: Model Simulationmentioning
confidence: 99%
“…The Bern3D Earth system model calculates N 2 O emissions based on denitrification and organic matter consumption and estimates an oceanic N 2 O budget of 4.5 ± 1.0 Tg N yr −1 [25]. Process-based models show good advantages to estimate aquatic N 2 O emissions in the absence of measured data and to predict the response of N 2 O fluxes to multifactor climate and environmental changes [25,79,121,122]. In addition, the process-based N 2 O emission model can be integrated with hydrological models to predict changes in N 2 O emissions in response to land use changes beside the water bodies [37,118,123].…”
Section: Model Simulationmentioning
confidence: 99%