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Modeling Sediment and Nitrogen Export from a Rural Watershed in Eastern Canada Using the Soil and Water Assessment Tool
Author(s) -
Nafees Ahmad Hafiz M.,
Sinclair Andrew,
Jamieson Rob,
Madani Ali,
Hebb Dale,
Havard Peter,
Yiridoe Emmanuel K.
Publication year - 2011
Publication title -
journal of environmental quality
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.888
H-Index - 171
eISSN - 1537-2537
pISSN - 0047-2425
DOI - 10.2134/jeq2010.0530
Subject(s) - watershed , nonpoint source pollution , soil and water assessment tool , environmental science , swat model , hydrology (agriculture) , watershed management , sediment , nutrient pollution , drainage basin , water quality , streamflow , ecology , geography , geology , computer science , paleontology , cartography , geotechnical engineering , machine learning , biology
Watershed simulation models can be used to assess agricultural nonpoint‐source pollution and for environmental planning and improvement projects. However, before application of any process‐based watershed model, the model performance and reliability must be tested with measured data. The Soil and Water Assessment Tool version 2005 (SWAT2005) was used to model sediment and nitrogen loads from the Thomas Brook Watershed, which drains a 7.84 km 2 rural landscape in the Annapolis Valley of Nova Scotia, Canada. The Thomas Brook SWAT model was comprised of 28 subbasins and 265 hydrologic response units, most of them containing agricultural land use, which is the main nonpoint nitrogen source in the watershed. Crop rotation schedules were incorporated into the model using field data collected within Agriculture and Agri‐Food Canada's Watershed Evaluation of Beneficial Management Practices program. Model calibration (2004–2006) and validation (2007–2008) were performed on a monthly basis using continuous stream flow, sediment, and nitrogen export measurements. Model performance was evaluated using the coefficient of determination, Nash‐Sutcliff efficiency (NSE), and percent bias (PBIAS) statistics. Study results show that the model performance was satisfactory (NSE > 0.4; R 2 > 0.5) for stream flow, sediment, nitrate‐nitrogen, and total nitrogen simulations. Annual corn, barley, and wheat yields were also simulated well, with PBIAS values ranging from 0.3 to 7.2%. This evaluation of SWAT demonstrated that the model has the potential to be used as a decision support tool for agricultural watershed management in Nova Scotia.