Dealing with Uncertainty in Erosion Model Predictions - Erosion Modelling - page 74

Beven, K.J. & Binley, A.M. (1992) The future of distrib-
uted models: model calibration and uncertainty pre-
diction. Hydrological Processes 6 : 279-98.
Beven, K.J. & Freer, J. (2001) Equifinality, data assimila-
tion, and uncertainty estimation in mechanistic
modelling of complex environmental systems.
Journal of Hydrology 249 : 11-29.
Beven, K.J., Smith, P.J. & Freer, J. (2008) So just why
would a modeller choose to be incoherent? Journal of
Hydrology 354 : 15-32.
Blazkova, S. & Beven, K.J. (2009) Uncertainty in flood
estimation. Structure and Infrastructure Engineering
5 : 325-32. DOI: 10.1080/15732470701189514
Boomer, K.B., Weller, D.E. & Jordan, T.E. (2008)
Empirical models based on the Universal Soil Loss
Equation fail to predict sediment discharges from
Chesapeake Bay catchments. Journal of Environmental
Quality 37 : 79-89.
Brazier, R.E., Beven, K.J., Freer, J. & Rowan, J.S. (2000)
Equifinality and uncertainty in physically-based soil
erosion models: application of the GLUE methodol-
ogy to WEPP - The Water Erosion Prediction Project
for sites in the UK and US. Earth Surface Processes
and Landforms 25 : 825-45.
Brazier, R.E., Beven, K.J., Anthony, S., et al . (2001)
Implications of complex model uncertainty for the
mapping of hillslope scale soil erosion predictions.
Earth Surface Processes and Landforms 26 : 1333-52.
Brazier, R.E., Heathwaite, A.L. & Liu, S. (2005) Scaling
issues relating to P transfer from land to water.
Journal of Hydrology 304 : 330-42.
Catt, J.A., Quinton, J.N., Rickson, R.J. & Styles, P.D.R.
(1994) Nutrient losses and crop yields in the Woburn
Erosion Reference Experiment. In Rickson, R.J. (ed.),
Conserving Soil Resources: European Perspectives .
CAB International, Wallingford: 94-104.
Chaves, H.M.L. & Nearing, M.A. (1991) Uncertainty
analysis of the WEPP soil-erosion model. Transactions
of the American Society of Agricultural Engineers 34 :
2437-45.
Choi, H.T. & Beven, K.J. (2007) Multi-period and multi-
criteria model conditioning to reduce prediction
uncertainty in distributed rainfall-runoff modelling
within GLUE framework. Journal of Hydrology 332 :
316-36.
Dean, S., Freer, J.E., Beven, K.J., et al . (2009) Uncertainty
assessment of a process-based integrated catchment
model of phosphorus (INCA-P). Stochastic Environ-
mental Research and Risk Assessment 23 : 991-1010.
DOI: 10.1007/s00477-008-0273-z
De Roo, A.P.J., Offermans, R.J.E. & Cremers, N.H.D.T.
(1996) LISEM: A single-event, physically based hydro-

logical and soil erosion model for drainage basins 2.
Sensitivity analysis, validation and application.
Hydrological Processes 10 : 1119-26.
Engeland, K., Xu, C-Y. & Gottschalk, L. (2005) Assessing
uncertainties in a conceptual water balance model
using Bayesian methodology. Hydrological Sciences
Journal 50 : 45-63.
Ewen, J., Parkin, G. & O'Connell, P.E. (2000)
SHETRAN: Distributed river basin flow and trans-
port modeling system. Journal of Hydrologic
Engineering ASCE 5 : 250-58. DOI: 10.1061/
(ASCE)1084-0699(2000)5:3(250)
Folly, A., Quinton, J.N. & Smith R.E. (1999) Evaluation
of the EUROSEM model using data from the Catsop
watershed, The Netherlands. Catena 37 : 507-19.
Forier, F. & Canters, F. (1996) A user-friendly tool for
error modelling and error propagation in a GIS envi-
ronment, In Mowrer, H.T., Czaplewski, R.L. &
Hamre, R.H. (eds), Spatial Accuracy Assessment in
Natural Resources and Environmental Sciences .
USDA Forest Service Technical Report RM-GTR-
277, pp. 225-34. URL: http://orca.vub.ac.be/ ∼ frforier/

artikel1.html
Freer, J.E., McMillan, H., McDonnell, J.J. & Beven, K.J.
(2004) Constraining dynamic TOPMODEL responses
for imprecise water table information using fuzzy
rule based performance measures. Journal of
Hydrology 291 : 254-77.
Freeze, R.A. (1978) Mathematical models of hillslope
hydrology. In Kirkby, M.J. (ed.), Hillslope Hydrology .
John Wiley & Sons, Chichester: 177-225.
Freeze, R.A. & Harlan, R.L. (1969) Blueprint for a phys-
ically-based, digitally-simulated hydrologic response
model. Journal of Hydrology 9 : 237-58.
Gamerman, D. (1997) Markov Chain Monte Carlo: sto-
chastic simulation for Bayesian inference . Chapman &
Hall/CRC, Boca Raton, LA.
Gassman, P.W., Reyes, M.R., Green, C.H. & Arnold,
J.G. (2007) The soil and water assessment tool: his-
torical development, applications, and future research
directions. Transactions of the American Society of
Agricultural and Biological Engineers 50 : 1211-50.
Grayson, R.B., Moore, I.D. & McMahon, T.A. (1992)
Physically based hydrologic modeling, 2. Is the con-
cept realistic? Water Resources Research 28 : 2659-66.
Hall, J., O'Connell, E. & Ewen, J. (2007) On not under-
mining the science: Discussion of invited com-
mentary by Keith Beven, Hydrological Processes,
20, 3141-3146 (2006). Hydrological Processes 21 :
985-8.
Hantush, M.H. & Kalin, L. (2005) Uncertainty and sen-
sitivity analysis of runoff and sediment yield in a