Articles | Volume 20, issue 12
Hydrol. Earth Syst. Sci., 20, 4819–4835, 2016
https://doi.org/10.5194/hess-20-4819-2016
Hydrol. Earth Syst. Sci., 20, 4819–4835, 2016
https://doi.org/10.5194/hess-20-4819-2016

Research article 08 Dec 2016

Research article | 08 Dec 2016

Uncertainty assessment of a dominant-process catchment model of dissolved phosphorus transfer

Rémi Dupas et al.

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Cited articles

Alexander, R. B., Smith, R. A., Schwarz, G. E., Boyer, E. W., Nolan, J. V., and Brakebill, J. W.: Differences in phosphorus and nitrogen delivery to the gulf of Mexico from the Mississippi river basin, Environ. Sci. Technol., 42, 822–830, 2008.
Arnold, J. G., Srinivasan, R., Muttiah, R. S., and Williams, J. R.: Large area hydrologic modeling and assessment - Part 1: Model development, J. Am. Water Resour. As., 34, 73–89, 1998.
Aubert, A. H., Gascuel-Odoux, C., Gruau, G., Akkal, N., Faucheux, M., Fauvel, Y., Grimaldi, C., Hamon, Y., Jaffrézic, A., Lecoz-Boutnik, M., Molénat, J., Petitjean, P., Ruiz, L., and Merot, P.: Solute transport dynamics in small, shallow groundwater-dominated agricultural catchments: insights from a high-frequency, multisolute 10 yr-long monitoring study, Hydrol. Earth Syst. Sci., 17, 1379–1391, https://doi.org/10.5194/hess-17-1379-2013, 2013.
Beauchemin, S. and Simard, R. R.: Soil phosphorus saturation degree: Review of some indices and their suitability for P management in Quebec, Canada, Can. J. Soil Sci., 79, 615–625, 1999.
Beaujouan, V., Durand, P., Ruiz, L., Aurousseau, P., and Cotteret, G.: A hydrological model dedicated to topography-based simulation of nitrogen transfer and transformation: rationale and application to the geomorphology-denitrification relationship, Hydrol. Process., 16, 493–507, 2002.
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Short summary
We developed a parsimonious topography-based hydrologic model coupled with a soil biogeochemistry sub-model in order to improve understanding and prediction of soluble reactive phosphorus (SRP) transfer in agricultural headwater catchments. The modelling approach includes an analysis of the information contained in the calibration data and propagation of uncertainty in model predictions using a GLUE "limits of acceptability" framework.