Flood frequency estimation by continuous simulation for a catchment treated as ungauged (with uncertainty)

Water Resources Research

Volumn 38, Issue 8, 2002, Pages 14-1-14-14

  Blazkova, Sarka ^a   Beven, Keith ^b  

^a T G MASARYK WATER RESEARCH INSTITUTE   (Czech Republic)

^b LANCASTER UNIVERSITY   (United Kingdom)

Author keywords

Flood frequency; Fuzzy inference; GLUE; Snowmelt; TOPMODEL; Ungauged watershed

Indexed keywords

CATCHMENTS; COMPUTER SIMULATION; DAMS; EXTRAPOLATION; FUZZY CONTROL; PRECIPITATION (METEOROLOGY);

FLOOD FREQUENCY;

FLOODS;

COMPUTER SIMULATION; ESTIMATION METHOD; FLOOD FREQUENCY; MONTE CARLO ANALYSIS; RIVER DISCHARGE;

CZECH REPUBLIC;

EID: 0036702622     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2001wr000500     Document Type: Article

References (45)

1. Ambroise, B., J. Freer, and K. J. Beven, Application of a generalized TOPMODEL to the small Ringelbach catchment, Vosges, France, Water Resour. Res., 32, 2147-2159, 1996.
2. Beven, K. J., Runoff production and flood frequency in catchments of order n: An Alternative Approach, in Scale Problems in Hydrology, edited by V. K. Gupta, I. Rodriguez-Iturbe, and E. F. Wood, pp. 107-131, D. Reidel, Norwell, Mass., 1986.
3. Beven, K. J., Towards the use of catchment geomorphology in flood frequency predictions, Earth Surf. Process. Landforms, 12, 69-82, 1987.
4. Beven, K. J., Prophecy, reality and uncertainty in distributed hydrological modelling, Adv. Water Resour, 16, 41-51, 1993.
5. Beven, K. J., TOPMODEL: A critique, Hydrol. Processes, 11(9), 1069-1086, 1997a.
6. Beven, K. J., (Ed.), Distributed Modelling in Hydrology: Applications of TOPMODEL, John Wiley, New York, 1997b.
7. Beven, K. J., On uniqueness of place and process representations in hydrological modeling, Hydrol. Earth Syst. Sci., 4(2), 203-212, 2000.
8. Beven, K. J., Rainfall-Runoff Modelling: The Primer, John Wiley, New York, 2001.
9. Beven, K. J., and A. M. Binley, The future of distributed models: Model calibration and uncertainty prediction, Hydrol. Processes, 6, 279-298, 1992.
10. Beven, K. J., and J. Freer, Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems, J. Hydrol., 249, 11-49, 2001.
11. Beven, K. J., and M. J. Kirkby, A physically-based variable contributing area model of basin hydrology, Hydrol. Sci. Bull., 24, 43-69, 1979.
12. Beven, K. J., R. Lamb, P. Quinn, R. Romanowicz, and J. Freer, TOPMODEL, in Computer Models of Watershed Hydrology, edited by V. P. Singh, pp. 627-668, Water Resour. Publ., Highlands Ranch, Colo., 1995.
13. Blazkova, S., and K. J. Beven, Frequency version of TOPMODEL as a tool for assessing the impact of climate variability on flow sources and flood peaks, J. Hydrol. Hydromech., 43, 392-411, 1995.
14. Blazkova, S., and K. J. Beven, Flood frequency prediction for data limited catchments in the Czech Republic using a stochastic rainfall model and TOPMODEL, J. Hydrol., 195, 256-279, 1997.
15. Cadavid, L., J. T. B. Obeysekera, and H. W. Shen, Flood frequency derivation from kinematic wave, J. Hydraul. Eng., 117, 489-510, 1991.
16. Calver, A., R. Lamb, and S. Morris, River flood frequency estimation using continuous runoff modeling, Proc. Inst. Civ. Eng. Water Maritime Energy, 136, 225-234, 1999.
17. Cameron, D., K. J. Beven, J. Tawn, S. Blazkova, and P. Naden, Flood frequency estimation by continuous simulation for a gauged upland catchment (with uncertainty), J. Hydrol., 219, 169-187, 1999.
18. Cameron, D., K. J. Beven, J. Tawn, and P. Naden, Flood frequency estimation by continuous simulation (with likelihood based uncertainty estimation), Hydrol. Earth Syst. Sci., 4(1), 23-34, 2000a.
19. Cameron, D., K. J. Beven, and J. Tawn, An evaluation of three stochastic rainfall models, J. Hydrol., 228, 130-149, 2000b.
20. Cameron, D., K. J. Beven, and J. Tawn, Modelling extreme rainfalls using a modified random pulse Bartlett-Lewis stochastic rainfall model (with Uncertainty), Adv. Water Resour., 24, 203-211, 2001a.
21. Cameron, D., K. Beven, and P. Naden, Flood frequency estimation under climate change (with uncertainty), Hydrol. Earth Syst. Sci., 4(3), 393-405, 2001b.
22. Cordova, J. R., and I. Rodriguez-Iturbe, Geomorphologic estimation of extreme flow probabilities, J. Hydrol., 65, 159-173, 1983.
23. Dunn, S. M., Imposing constraints on parameter values of a conceptual hydrological model using baseflow response, Hydrol. Earth. Syst. Sci., 3, 271-284, 1999.
24. Eagleson, P. S., Dynamics of flood frequency, Water Resour. Res., 8, 878-898, 1972.
25. Fisher, J. I., and K. J. Beven, Modelling of streamflow at Slapton Wood using TOPMODEL within an uncertainty estimation framework, Field Stud., 8, 577-584, 1996.
26. Franks, S. W., P. Gineste, K. J. Beven, and P. Merot, On constraining the predictions of a distributed model: The incorporation of fuzzy estimates of saturated areas into the calibration process, Water Resour. Res., 34, 787-798, 1998.
27. Freer, J., K. J. Beven, and B. Ambroise, Bayesian estimation of uncertainty in runoff prediction and the value of data: An application of the GLUE approach, Water Resour. Res., 32, 2161-2173, 1996.
28. Gupta, V. J., and D. R. Dawdy, Physical interpretations of regional variations in the scaling exponents of flood quantiles, Hydrol. Processes, 9, 347-362, 1995.
29. Hebson, C., and E. F. Wood, A derived flood frequency distribution using Horton order ratios, Water Resour. Res., 18, 1509-1518, 1982.
30. Hosking, J. R. M., Fortran routines for use with the method of L-moments, version 3.02, IBM Res. Rep. RC 20525 (90933), IBM Res. Div., White Plains, N. Y., 1997.
31. Hosking, J. R. M., and J. R. Wallis, Regional Frequency Analysis, 224 pp., Cambridge Univ. Press, New York, 1997.
32. Institute of Hydrology, Flood Estimation Handbook, 5 vol., Wallingford, England, 1999.
33. Lamb, R., Calibration of a conceptual rainfall-runoff model for flood frequency estimation by continuous simulation, Water Resour. Res., 35, 3103-3114, 1999.
34. Lamb, R., K. J. Beven, and S. Myrabø, Use of spatially distributed water table observations to constrain uncertainty in a rainfall-runoff model, Adv. Water Resour., 22(4), 305-317, 1998.
35. Moughamian, M. S., D. B. McLaughlin, and R. L. Bras, Estimation of flood frequency: An evaluation of two derived distribution procedures, Water Resour. Res., 23, 1309-1319, 1987.
36. Natural Environment Research Council, Flood Studies Report, Whitefriars, London, 1975.
37. Pilgrim, D. H., (Ed.), Australian Rainfall and Runoff. A Guide To Flood Estimation, Inst. of Eng. Aust., Canberra, 1987.
38. Piñol, J., K. J. Beven, and J. Freer, Modelling the hydrological response of Mediterranean catchments, Prades, Catalonia - The use of distributed models as aids to hypothesis formulation, Hydrol. Processes, 11(9), 1287-1306, 1997.
39. Raines, T. H., and J. B. Valdes, Estimation of flood frequencies for ungaged catchments, J. Hydraul. Eng., 119, 1138-1154, 1994.
40. Romanowicz, R., K. J. Beven, and J. Tawn, Evaluation of predictive uncertainty in non-linear hydrological models using a Bayesian approach, in Statistics for the Environment 2: Water Related Issues, edited by V. Barnett and K. F. Turkman, pp. 297-317, John Wiley, New York, 1994.
41. Seibert, J., Estimation of parameter uncertainty in the HBV model, Nord. Hydrol., 28, 247-262, 1997.
42. Sivapalan, M., E. F. Wood, and K. J. Beven, On hydrologic similarity, 3, A dimensionless flood frequency model using a generalized geomorphologic unit hydrograph and partial area runoff generation, Water Resour. Res., 26, 43-58, 1990.
43. Thornthwaite, C. W., An approach toward a rational classification of climate, Geogr. Rev., 38, 55-94, 1948.
44. Trupl, J., Intensities of short time rainfalls in the catchments of the Elbe, Odra and Morava Rivers, Works and Stud. of Water Res. Inst. 97, Prague, Water Research Institute, 1958.
45. World Meteorological Organization, Intercomparison of Models of Snowmelt Runoff, Rep. 23, WMO646, Operational Hydrol., Geneva, 1986.