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Volumn 43, Issue 4, 2007, Pages

Development of a possibilistic method for the evaluation of predictive uncertainty in rainfall-runoff modeling

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; MATHEMATICAL MODELS; MODEL STRUCTURES; MONTE CARLO METHODS; RAIN; RUNOFF;

EID: 34249082149     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2006WR005072     Document Type: Article
Times cited : (32)

References (42)
  • 1
    • 0344938261 scopus 로고    scopus 로고
    • Uncertainty and equifinality in calibrating distributed roughness coefficients in a flood propagation model with limited data
    • Aronica, G., B. G. Hankin, and K. J. Beven (1998), Uncertainty and equifinality in calibrating distributed roughness coefficients in a flood propagation model with limited data, Adv. Water Resour., 22(4), 349-365.
    • (1998) Adv. Water Resour , vol.22 , Issue.4 , pp. 349-365
    • Aronica, G.1    Hankin, B.G.2    Beven, K.J.3
  • 2
    • 0023823630 scopus 로고
    • Nonlinear, discrete flood event models: 3. Analysis of prediction uncertainty
    • Bates, B. C., and L. R. Townley (1988), Nonlinear, discrete flood event models: 3. Analysis of prediction uncertainty, J. Hydrol., 99, 91-101.
    • (1988) J. Hydrol , vol.99 , pp. 91-101
    • Bates, B.C.1    Townley, L.R.2
  • 3
    • 0027788553 scopus 로고
    • Prophecy, reality and uncertainty in distributed hydrological modelling
    • Beven, K. J. (1993), Prophecy, reality and uncertainty in distributed hydrological modelling, Adv. Water Resour., 16(1), 41-51.
    • (1993) Adv. Water Resour , vol.16 , Issue.1 , pp. 41-51
    • Beven, K.J.1
  • 4
    • 0001834298 scopus 로고    scopus 로고
    • Equifinality and uncertainty in geomorphological modelling
    • edited by B. L. Rhoads and C. E. Thorn, pp, John Wiley, Hoboken, N. J
    • Beven, K. J. (1996), Equifinality and uncertainty in geomorphological modelling, in The Scientific Nature of Geomorphology, edited by B. L. Rhoads and C. E. Thorn, pp. 289-313, John Wiley, Hoboken, N. J.
    • (1996) The Scientific Nature of Geomorphology , pp. 289-313
    • Beven, K.J.1
  • 5
    • 33644526990 scopus 로고    scopus 로고
    • J. Hydrol., 320
    • Beven, K. J. (2006), A manifesto for the equifinality thesis, J. Hydrol., 320, 18-36.
    • (2006) , pp. 18-36
    • Beven, K.J.1
  • 6
    • 0027009437 scopus 로고
    • The future of distributed models: Model calibration and uncertainty prediction
    • Beven, K., and A. Binley (1992), The future of distributed models: Model calibration and uncertainty prediction, Hydrol. Processes, 6, 279-298.
    • (1992) Hydrol. Processes , vol.6 , pp. 279-298
    • Beven, K.1    Binley, A.2
  • 7
    • 0035426008 scopus 로고    scopus 로고
    • Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology
    • Beven, K. J., and J. Freer (2001), Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology, J. Hydrol., 249, 11-29.
    • (2001) J. Hydrol , vol.249 , pp. 11-29
    • Beven, K.J.1    Freer, J.2
  • 8
    • 0002234050 scopus 로고    scopus 로고
    • The use of generalised likelihood measures for uncertainty estimation in high order models of environmental systems
    • edited by W. J. Fitzgerald et al, pp, Cambridge Univ. Press, New York
    • Beven, K. J., J. Freer, B. Hankin, and K. Schulz (2000), The use of generalised likelihood measures for uncertainty estimation in high order models of environmental systems, in Nonlinear and Nonstationary Signal Processing, edited by W. J. Fitzgerald et al., pp. 115-151, Cambridge Univ. Press, New York.
    • (2000) Nonlinear and Nonstationary Signal Processing , pp. 115-151
    • Beven, K.J.1    Freer, J.2    Hankin, B.3    Schulz, K.4
  • 9
    • 0002036564 scopus 로고
    • Physically-based modeling of catchment hydrology: A likelihood approach to reducing predictive uncertainty
    • edited by D. G. Farmer and M. J. Rycroft, pp, Clarendon, Oxford, U.K
    • Binley, A. M., and K. J. Beven (1991), Physically-based modeling of catchment hydrology: A likelihood approach to reducing predictive uncertainty, in Computer Modelling in the Environmental Sciences, edited by D. G. Farmer and M. J. Rycroft, pp. 75-88, Clarendon, Oxford, U.K.
    • (1991) Computer Modelling in the Environmental Sciences , pp. 75-88
    • Binley, A.M.1    Beven, K.J.2
  • 10
    • 2342648259 scopus 로고    scopus 로고
    • Flood frequency estimation by continuous simulation of subcatchment rainfalls and discharges with the aim of improving dam safety assessment in a large basin in the Czech Republic
    • Blazkova, S., and K. Beven (2004), Flood frequency estimation by continuous simulation of subcatchment rainfalls and discharges with the aim of improving dam safety assessment in a large basin in the Czech Republic, J. Hydrol., 292, 153-172.
    • (2004) J. Hydrol , vol.292 , pp. 153-172
    • Blazkova, S.1    Beven, K.2
  • 11
    • 0033536206 scopus 로고    scopus 로고
    • Flood frequency estimation by continuous simulation for a gauged upland catchment (with uncertainty)
    • Cameron, D., K. J. Beven, J. Tawn, S. Blazkova, and P. Naden (1999), Flood frequency estimation by continuous simulation for a gauged upland catchment (with uncertainty), J. Hydrol., 219, 169-187.
    • (1999) J. Hydrol , vol.219 , pp. 169-187
    • Cameron, D.1    Beven, K.J.2    Tawn, J.3    Blazkova, S.4    Naden, P.5
  • 12
    • 0031104702 scopus 로고    scopus 로고
    • Transient groundwater flow simulation using a fuzzy set approach
    • Dou, C., W. Woldt, M. Dahab, and I. Bogardi (1997), Transient groundwater flow simulation using a fuzzy set approach, Ground Water, 35(2), 205-215.
    • (1997) Ground Water , vol.35 , Issue.2 , pp. 205-215
    • Dou, C.1    Woldt, W.2    Dahab, M.3    Bogardi, I.4
  • 13
    • 34249004482 scopus 로고    scopus 로고
    • Dubois, D., and H. Prade (1998), Possibility theory: Qualitative and quantitative aspects, in Handbook of Defeasible Reasoning and Uncertainty Management Systems, 1, Quantified Representation of Uncertainty and Imprecision, edited by D. M. Gabbay and P. Smets, pp. 169-226, Springer, New York.
    • Dubois, D., and H. Prade (1998), Possibility theory: Qualitative and quantitative aspects, in Handbook of Defeasible Reasoning and Uncertainty Management Systems, vol. 1, Quantified Representation of Uncertainty and Imprecision, edited by D. M. Gabbay and P. Smets, pp. 169-226, Springer, New York.
  • 14
    • 0031898095 scopus 로고    scopus 로고
    • On constraining the predictions of a distributed model: The incorporation of fuzzy estimates of saturated areas into the calibration process
    • Franks, S. W., P. Gineste, K. J. Beven, and P. Merot (1998), On constraining the predictions of a distributed model: The incorporation of fuzzy estimates of saturated areas into the calibration process, Water Resour. Res., 34(4), 787-797.
    • (1998) Water Resour. Res , vol.34 , Issue.4 , pp. 787-797
    • Franks, S.W.1    Gineste, P.2    Beven, K.J.3    Merot, P.4
  • 15
    • 0029659801 scopus 로고    scopus 로고
    • Bayesian estimation of uncertainty in runoff prediction and the value of data: An application of the GLUE approach
    • Freer, J., K. J. Beven, and B. Ambroise (1996), Bayesian estimation of uncertainty in runoff prediction and the value of data: An application of the GLUE approach, Water Resour. Res., 32(7), 2161-2173.
    • (1996) Water Resour. Res , vol.32 , Issue.7 , pp. 2161-2173
    • Freer, J.1    Beven, K.J.2    Ambroise, B.3
  • 16
    • 1942438476 scopus 로고    scopus 로고
    • Constraining dynamic TOPMODEL responses for imprecise water table information using fuzzy rule based performance measures
    • Freer, J. E., H. McMillan, J. J. McDonnell, and K. J. Beven (2004), Constraining dynamic TOPMODEL responses for imprecise water table information using fuzzy rule based performance measures, J. Hydrol., 291, 254-277.
    • (2004) J. Hydrol , vol.291 , pp. 254-277
    • Freer, J.E.1    McMillan, H.2    McDonnell, J.J.3    Beven, K.J.4
  • 17
    • 0033033756 scopus 로고    scopus 로고
    • Comparison of first-order analysis and fuzzy set approach for the evaluation of imprecision in a pesticide groundwater pollution screening model
    • Freissinet, C., M. Vauclin, and M. Erlich (1999), Comparison of first-order analysis and fuzzy set approach for the evaluation of imprecision in a pesticide groundwater pollution screening model. J. Contam. Hydrol., 37, 21-43.
    • (1999) J. Contam. Hydrol , vol.37 , pp. 21-43
    • Freissinet, C.1    Vauclin, M.2    Erlich, M.3
  • 18
    • 0026613410 scopus 로고
    • River flow forecasting: 5. Applications of a conceptual model
    • Kachroo, R. K. (1992), River flow forecasting: 5. Applications of a conceptual model, J. Hydrol., 133, 141-178.
    • (1992) J. Hydrol , vol.133 , pp. 141-178
    • Kachroo, R.K.1
  • 21
    • 0003867995 scopus 로고
    • A note on the revised SMAR model
    • Dep. of Eng. Hydrol, Natl. Univ. of Ireland, Galway
    • Liang, G. C. (1992), A note on the revised SMAR model, Flood Forecasting Workshop Memo., Dep. of Eng. Hydrol., Natl. Univ. of Ireland, Galway.
    • (1992) Flood Forecasting Workshop Memo
    • Liang, G.C.1
  • 22
    • 25844526502 scopus 로고    scopus 로고
    • Large sample behaviors of the generalized likelihood uncertainty estimation (GLUE) in assessing the uncertainty of rainfall-runoff simulations
    • doi:10.1029/2004WR003826
    • Montanari, A. (2005), Large sample behaviors of the generalized likelihood uncertainty estimation (GLUE) in assessing the uncertainty of rainfall-runoff simulations, Water Resour. Res., 41, W08406, doi:10.1029/2004WR003826.
    • (2005) Water Resour. Res , vol.41
    • Montanari, A.1
  • 23
    • 0000175259 scopus 로고
    • The form of the instantaneous unit hydrograph
    • Nash, J. E. (1957), The form of the instantaneous unit hydrograph, IAHS Publ., 45(3), 114-118.
    • (1957) IAHS Publ , vol.45 , Issue.3 , pp. 114-118
    • Nash, J.E.1
  • 24
    • 0014776873 scopus 로고
    • River flow forecasting through conceptual models: 1. A discussion of principles
    • Nash, J. E., and J. V. Sutcliffe (1970), River flow forecasting through conceptual models: 1. A discussion of principles, J. Hydrol., 10, 282-290.
    • (1970) J. Hydrol , vol.10 , pp. 282-290
    • Nash, J.E.1    Sutcliffe, J.V.2
  • 25
    • 0001535952 scopus 로고
    • River flow forecasting through conceptual models: 2. The Brosna catchment at Ferbane
    • O'Connell, P. E., J. E. Nash, and J. P. Farrell (1970), River flow forecasting through conceptual models: 2. The Brosna catchment at Ferbane, J. Hydrol., 10, 317-329.
    • (1970) J. Hydrol , vol.10 , pp. 317-329
    • O'Connell, P.E.1    Nash, J.E.2    Farrell, J.P.3
  • 26
    • 0035889604 scopus 로고    scopus 로고
    • Fuzzy conceptual rainfall-runoff models
    • Özelkan, E. C., and L. Duckstein (2001), Fuzzy conceptual rainfall-runoff models, J. Hydrol., 253, 41-68.
    • (2001) J. Hydrol , vol.253 , pp. 41-68
    • Özelkan, E.C.1    Duckstein, L.2
  • 27
    • 0032054749 scopus 로고    scopus 로고
    • Dynamic real-time prediction of flood inundation probabilities
    • Romanowicz, R., and K. J. Beven (1998), Dynamic real-time prediction of flood inundation probabilities, Hydrol. Sci. J., 43(2), 181-196.
    • (1998) Hydrol. Sci. J , vol.43 , Issue.2 , pp. 181-196
    • Romanowicz, R.1    Beven, K.J.2
  • 28
    • 34249016850 scopus 로고    scopus 로고
    • Comments on GLUE
    • edited by K. M. Hanson and F. M. Hemez, pp, Los Alamos Natl. Lab, Los Alamos, N. M, Available at
    • Romanowicz, R., and K. J. Beven (2005), Comments on GLUE, in Sensitivity Analysis of Model Output, edited by K. M. Hanson and F. M. Hemez, pp. 137-146, Los Alamos Natl. Lab., Los Alamos, N. M. (Available at http://library.lanl.gov)
    • (2005) Sensitivity Analysis of Model Output , pp. 137-146
    • Romanowicz, R.1    Beven, K.J.2
  • 29
    • 84995636019 scopus 로고    scopus 로고
    • Uncertainty and sensitivity analysis of water transport modelling in a layered soil profile using fuzzy sets theory
    • Schulz, K., and B. Huwe (1999), Uncertainty and sensitivity analysis of water transport modelling in a layered soil profile using fuzzy sets theory, J. Hydroinf., 1(2), 129-138.
    • (1999) J. Hydroinf , vol.1 , Issue.2 , pp. 129-138
    • Schulz, K.1    Huwe, B.2
  • 30
    • 0036879790 scopus 로고    scopus 로고
    • On the dialog between experimentalist and modeler in catchment hydrology: Use of soft data for multicriteria model calibration
    • doi:10.1029/2001WR000978
    • Seibert, J., and J. J. McDonnell (2002), On the dialog between experimentalist and modeler in catchment hydrology: Use of soft data for multicriteria model calibration, Water Resour. Res., 38(11), 1241, doi:10.1029/2001WR000978.
    • (2002) Water Resour. Res , vol.38 , Issue.11 , pp. 1241
    • Seibert, J.1    McDonnell, J.J.2
  • 31
    • 0031259688 scopus 로고    scopus 로고
    • Methods for combining the outputs of different rainfall-runoff models
    • Shamseldin, A. Y., K. M. O'Connor, and G. C. Liang (1997), Methods for combining the outputs of different rainfall-runoff models, J. Hydrol., 197, 203-229.
    • (1997) J. Hydrol , vol.197 , pp. 203-229
    • Shamseldin, A.Y.1    O'Connor, K.M.2    Liang, G.C.3
  • 32
    • 0019227508 scopus 로고
    • Stochastic parameter estimation procedures for hydrological rainfall-runoff models: Correlated and heteroscedastic error cases
    • Sorooshian, S., and J. A. Dracup (1980), Stochastic parameter estimation procedures for hydrological rainfall-runoff models: Correlated and heteroscedastic error cases, Water Resour. Res., 16(2), 430-442.
    • (1980) Water Resour. Res , vol.16 , Issue.2 , pp. 430-442
    • Sorooshian, S.1    Dracup, J.A.2
  • 33
    • 0021084897 scopus 로고
    • Evaluation of maximum likelihood estimation techniques for conceptual rainfall-runoff models: Influence of calibration data variability and length of model credibility
    • Sorooshian, S., V. K. Gupta, and L. Fulton (1983), Evaluation of maximum likelihood estimation techniques for conceptual rainfall-runoff models: Influence of calibration data variability and length of model credibility, Water Resour. Res., 19(1), 251-259.
    • (1983) Water Resour. Res , vol.19 , Issue.1 , pp. 251-259
    • Sorooshian, S.1    Gupta, V.K.2    Fulton, L.3
  • 34
    • 0030274099 scopus 로고    scopus 로고
    • Application of an empirical equation in the SMAR model
    • Tan, B. Q., and K. M. O'Connor (1996), Application of an empirical equation in the SMAR model, J. Hydrol., 185, 275-295.
    • (1996) J. Hydrol , vol.185 , pp. 275-295
    • Tan, B.Q.1    O'Connor, K.M.2
  • 35
    • 34249069385 scopus 로고    scopus 로고
    • The Mathworks 2004, MATLAB®, version 7.0.1.15, Natick, Mass
    • The Mathworks (2004), MATLAB®, version 7.0.1.15, Natick, Mass.
  • 36
    • 0034736047 scopus 로고    scopus 로고
    • Fuzzy multi-objective function for rainfall-runoff model calibration
    • Yu, P.-S., and T. C. Yang (2000), Fuzzy multi-objective function for rainfall-runoff model calibration, J. Hydrol., 238, 1-14.
    • (2000) J. Hydrol , vol.238 , pp. 1-14
    • Yu, P.-S.1    Yang, T.C.2
  • 37
    • 34248666540 scopus 로고
    • Fuzzy sets
    • Zadeh, L. A. (1965), Fuzzy sets, Inf. Control, 8(3), 338-353.
    • (1965) Inf. Control , vol.8 , Issue.3 , pp. 338-353
    • Zadeh, L.A.1
  • 38
    • 49349133217 scopus 로고
    • Fuzzy sets as a basis for a theory of possibility
    • Zadeh, L. A. (1978), Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets Syst., 1, 3-28.
    • (1978) Fuzzy Sets Syst , vol.1 , pp. 3-28
    • Zadeh, L.A.1
  • 39
    • 85082277205 scopus 로고
    • Possibility theory and soft data analysis
    • edited by B. L. Cob and R. M. Thrall, pp, Westview, Boulder, Colo
    • Zadeh, L. A. (1981), Possibility theory and soft data analysis, in Mathematical Frontiers of the Social and Policy Sciences, edited by B. L. Cob and R. M. Thrall, pp. 69-129, Westview, Boulder, Colo.
    • (1981) Mathematical Frontiers of the Social and Policy Sciences , pp. 69-129
    • Zadeh, L.A.1
  • 40
    • 9644268949 scopus 로고    scopus 로고
    • Predictability of hydrological response at the plot and catchment scales: Role of initial conditions
    • doi:10.1029/2003WR002869
    • Zehe, E., and G. Blöschl (2004), Predictability of hydrological response at the plot and catchment scales: Role of initial conditions, Water Resour. Res., 40, W10202, doi:10.1029/2003WR002869.
    • (2004) Water Resour. Res , vol.40
    • Zehe, E.1    Blöschl, G.2
  • 41
    • 28344454226 scopus 로고    scopus 로고
    • Uncertainty of simulated catchment runoff response in the presence of threshold processes: Role of initial soil moisture and precipitation
    • Zehe, E., R. Becker, A. Bárdossy, and E. Plate (2005), Uncertainty of simulated catchment runoff response in the presence of threshold processes: Role of initial soil moisture and precipitation, J. Hydrol., 315, 183-202.
    • (2005) J. Hydrol , vol.315 , pp. 183-202
    • Zehe, E.1    Becker, R.2    Bárdossy, A.3    Plate, E.4


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