A Conceptual Nitrate Transport Model and Its Application at Different Scales
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Groundwater and surface water pollution from nonpoint sources are problems of increasing concern. Nitrate transport is a crucial part in the whole process of nitrate loss. Previous methods for simulating the nitrate transport process usually involved solving complex advection–dispersion equations and required large amount of parameters and input data, which makes a model application expensive or invalid in terms of computation and data availability. The aim of this research is to develop a simple conceptual method to simulate the nitrate transport. In this paper, a simple conceptual method utilizing the distribution of nitrate loss against cumulative drainage to simulate the nitrate transport process is introduced. The concept and construction of this method are presented, and its applicability at different spatial scales is demonstrated. Results of model application at laboratory, pilot, and catchment scales show that this method has a good capability to simulate the transport of nitrate. Impact of spatial scales on parameters’ values is also discussed. Compared to conventional methods, this method requires fewer parameters, less computing time, and less input data.
KeywordsConceptual model Diffuse pollution Hydrograph Nitrate transport Unit nitrograph
The authors would like to thank the CVCP for their financial support to this project and SEPA and Glasgow City Council for their help in sourcing data.
- 2.Anthony, S., Quinn, P. F., & Lord, E. (1996). Catchment scale modelling of nitrate leaching. Aspects of Applied Biology, 46, 23–32.Google Scholar
- 3.Arheimer, B., & Brandt, M. (1998). Modelling nitrogen transport and retention in the catchments of southern Sweden. Ambio, 27(6), 471–479.Google Scholar
- 9.Jury, W. A. (1995). Stochastic solute transport modelling trends and their potential compatibility with GIS. Applications of GIS to the modelling of non-point source pollutants in the vadose zone. In Proceedings of Bouyoucos Conference, 1–3 May, Riverside, CA, USA, pp. 393–405.Google Scholar
- 11.Liu, S., Brazier, R. E., & Heathwaite, A. L. (2005a). An investigation into the inputs controlling predictions from a diffuse phosphorus loss model for the UK: The Phosphorus Indicators Tool (PIT). Sci Total Environ, 344(1–3), 211–223.Google Scholar
- 14.SEPA. (1999). State of the environment report. Stirling: Scottish Environment Protection Agency.Google Scholar
- 15.Shaw, E. M. (1994). Hydrology in practice (3rd ed.). London: Chapman and Hall.Google Scholar