The Nitrogen Risk Assessment Model for Scotland (NIRAMS) has been developed as a screening tool for prediction of streamwater N concentrations draining from agricultural land in Scotland. The objective of the model is to be able to predict N concentrations for ungauged catchments, to fill gaps in monitoring data and provide guidance in relation to policy development. The model uses national land use, soils and meteorology data sets and has been developed within an ArcView GIS user interface. The model includes modules to calculate N inputs to the land, residual N remaining at the end of the growing season, weekly time-series of leached N and transport of N at the catchment scale. The N leaching and transport are controlled by hydrological modules, including a national water balance model and a catchment scale transport model. Preliminary testing of NIRAMS has been carried out on eight Scottish catchments, diverse in terms of geographic location as well as land use. The model is capable of predicting the correct mean level of stream N concentrations, as well as the basic characteristics of seasonal variation. As such the model can be of value for providing estimates of N concentrations in ungauged areas.
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Research Article|
February 01 2005
Modelling nitrate losses from agricultural activities on a national scale
S.M. Dunn;
*The Macaulay Institute, Craigiebuckler, Aberdeen, AB15 8QH, Scotland, UK
E-mail: s.dunn@macaulay.ac.uk
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A.J.A. Vinten;
A.J.A. Vinten
**Scottish Agricultural College, Bush Estate, Penicuik, Midlothian, EH26 OPH, Scotland, UK
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A. Lilly;
A. Lilly
*The Macaulay Institute, Craigiebuckler, Aberdeen, AB15 8QH, Scotland, UK
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J. DeGroote;
J. DeGroote
*The Macaulay Institute, Craigiebuckler, Aberdeen, AB15 8QH, Scotland, UK
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M. McGechan
M. McGechan
**Scottish Agricultural College, Bush Estate, Penicuik, Midlothian, EH26 OPH, Scotland, UK
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Water Sci Technol (2005) 51 (3-4): 319–327.
Citation
S.M. Dunn, A.J.A. Vinten, A. Lilly, J. DeGroote, M. McGechan; Modelling nitrate losses from agricultural activities on a national scale. Water Sci Technol 1 February 2005; 51 (3-4): 319–327. doi: https://doi.org/10.2166/wst.2005.0606
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