Impact of uncertainties in discharge determination on the parameter estimation and performance of a hydrological model

Hydrology Research

Volumn 44, Issue 3, 2013, Pages 454-466

  Van Den Tillaart, Sander P M ^a,b   Booij, Martijn J ^a   Krol, Maarten S ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b Waterboard Rijn and IJssel   (Netherlands)

Author keywords

Discharge determination; Hydrological modelling; Meuse River; Model calibration; Rating curve; Uncertainty

Indexed keywords

DISCHARGE DETERMINATIONS; HYDROLOGICAL MODELLING; MEUSE RIVERS; MODEL CALIBRATION; RATING CURVE; UNCERTAINTY;

AUTOCORRELATION; CATCHMENTS; CLIMATE CHANGE; CLIMATE MODELS; FLOOD CONTROL; FLOODS; FORECASTING; RESERVOIRS (WATER); WATER LEVELS;

MEASUREMENT ERRORS;

AUTOCORRELATION; CATCHMENT; DISCHARGE; ERROR ANALYSIS; ESTIMATION METHOD; FLOOD FORECASTING; HYDROGRAPHY; HYDROLOGICAL MODELING; PARAMETERIZATION; PERFORMANCE ASSESSMENT; UNCERTAINTY ANALYSIS; WATER LEVEL;

EID: 84880436449     PISSN: 00291277     EISSN: None     Source Type: Journal    
DOI: 10.2166/nh.2012.147     Document Type: Article

References (49)

1. Akhtar, M., Ahmad, N. & Booij, M. J. 2009 Use of regional climate model simulations as input for hydrological models for the Hindukush-Karakorum- Himalaya region. Hydrol. Earth Syst. Sci. 13, 1075-1089.
2. Andréassian, V., Perrin, C., Michel, C., Usart-Sanchez, I. & Lavabre, J. 2001 Impact of imperfect rainfall knowledge on the efficiency and the parameters of watershed models. J. Hydrol. 250, 206-223.
3. Aronica, G. T., Candela, A., Viola, R & Cannarozzo, M. 2006 Influence of rating curve uncertainty on daily rainfall-runoff model predictions. In: Predictions in Ungauged Basins: Promise and Progress (M. Sivapalan, T. Wagener, S. Uhlenbrook, X. Liang, V. Lakshmi, P. Kumar, E. Zehe & Y. Tachikawa, eds). IAHS Publ. 303, IAHS Press, Wallingford, UK, pp. 116-124.
4. Ashagrie, A. G., De Laat, P. J. M., De Wit, M. J. M., Tu, M. & Uhlenbrook, S. 2006 Detecting the influence of land use changes on discharges and floods in the Meuse River Basin - the predictive power of a ninety-year rainfall-runoff relation? Hydrol. Earth Syst. Sci. 10, 691-701.
5. Bárdossy, A. & Das, T. 2008 Influence of rainfall observation network on model calibration and application. Hydrol. Earth SysL Sci. 12, 77-89.
6. Bergstrom, S. 1995 The HBV model. In: Computer Models of Watershed Hydrology (V. P. Singh, ed.). Wat. Resour. Publ., Highlands Ranch, Colorado, USA, pp. 443-47 6.
7. Bergstrom, S. & Porsman, A. 1973 Development of a conceptual deterministic rainfall-runoff model. Nordic Hydrol. 4, 147-17 0.
8. Berne, A., Ten Heggeler, M., Uijlenhoet, R., Delobbe, L., Dierickx, P. & De Wit, M. 2005 A preliminary investigation of radar rainfall estimation in the Ardennes region and a first hydrological application for the Ourthe catchment. NaL Hazards Earth Syst. Sci. 5, 267-274.
9. Booij, M. J. 2002 Modeling the effect of spatial and temporal resolution of rainfall and basin model on extreme river discharge HydroL Sd J 47, 307-3W
10. Booij, M. J. 2005 Impact of climate change on river flooding assessed with different spatial model resolutions. J. Hydrol. 303, 176-198.
11. Booij, M. J. & Krol, M. S. 2010 Balance between calibration objectives in a conceptual hydrological model. Hydrol. Sci. J. 55, 1017-1032.
12. Cloke, H. L. & Pappenberger, P. 2009 Ensemble flood forecasting: a review. J. Hydrol. 375, 6 13-626.
13. Deckers, D. L. E. H., Booij, M. J., Rientjes, T. H. M. & Krol, M. S. 2010 Catchment variability and parameter estimation in multi-objective regionalisation of a rainfall-runoff model. Water Resour. Manage. 24, 396 1-3985.
14. De Kok, J. L. & Booij, M. J. 2009 Deterministic-statistical model coupling in a DSS for river-basin management Environ. Model Assess. 14, 595-606.
15. Di Baldassarre, G. & Montanan, A. 2009 Uncertainty in river discharge observations: a quantitative analysis. Hydrol. Earth Syst. Sci. 13, 913-921.
16. Dong, X., Dohmen-Janssen, C. M. & Booij, M. J. 2005 Appropriate spatial sampling of rainfall for flow simulation. Hydrol. Sci. J. 50, 279-298.
17. Dottori, R, Martina, M. L. V. & Todini, E. 2009 A dynamic rating curve approach to indirect discharge measurement Hydrol. Earth Syst. Sci. 13, 847-863.
18. Driessen, T. L. A., Hurkmans, R. T. W. L., Terink, W., Hazenberg, P., Torfs, P. J. J. R & Uijlenhoet, R. 2010 The hydrological response of the Ourthe catchment to climate change as modelled by the HBV model. Hydrol. Earth Syst. Sci. 14, 65 1-665.
19. Duan, Q., Gupta, V. K. & Sorooshian, S. 1992 Effective and efficient global optimization for conceptual rainfall-runoff models. Water Resour. Res. 28, 1015-1031.
20. Fenton, J. D. & Keller, R. J. 2001 The calculation of streamfiow from measurements of stage. CRC Catchment Hydrol. Available at: http://www. catchment.crc.org.au/pdfsl technical200 106.pdf.
21. Goswami, M. & O'Connor, K. M. 2010 A 'monster' that made the SMAR conceptual model 'right for the wrong reasons'. Hydrol. Sci. J. 55, 9 13-927.
22. Gupta, H. V., Kling, H., Yilmaz, K. K. & Martinez, G. R 2009 Decomposition of the mean squared error and NSE performance criteria: implications for improving hydrological modelling. J. Hydrol. 377, 80-91.
23. Herron, N. & Croke, B. 2009 Including the influence of groundwater exchanges in a lumped rainfall-runoff model. Math. CompuL Simulation 79, 2689-2700.
24. Jalbert, J., Mathevet, T. & Favre, A. C. 2011 Temporal uncertainty estimation of discharges from rating curves using a variographic analysis. J. Hydrol. 397, 83-92.
25. Jansen, P. C. 2007 Beoordeling van de kwaliteit van hoogwaterparameters berekend voor de Nederlandse Maas (in Dutch). MSc Thesis, University of Twente, Enschede, The Netherlands.
26. Jansen, P. Ph., Van Bendegom, L., Van den Berg, J., De Vries, M. & Zanen, A. 1979 Principles of River Engineering. The Non- Tidal Alluvial River. Delftse Uitgevers Maatschappij, Delft, The Netherlands.
27. Koblinsky, C. J., Clarke, R. T., Brenner, A. C. & Frey, H. Measurement of river level variations with satellite altimetry. Water Resour. Res. 29, 1839-1848.
28. Lang, M., Pobanz, K., Renard, B., Renouf, E. & Sauquet, E. 2010 Extrapolation of rating curves by hydraulic modelling, with application to flood frequency analysis. Hydrol. Sci. 1. 55, 883-898.
29. Leander, R. & Buishand, T. A. 2007 Resampling of regional climate model output for the simulation of extreme river flows. J. Hydrol. 332, 487-496.
30. Leander, R., Buishand, T. A., Aalders, P. & De Wit, M. J. M. 2005 Estimation of extreme floods of the river Meuse using a stochastic weather generator and a rainfall-runoff model. Hydrol. Sci. J. 50, 1089-1103.
31. Le Moine, N., Andréassian, V., Perrin, C. & Michel, C. 2007 How can rainfall-runoff models handle intercatchment groundwater flows? Theoretical study based on 1040 French catchments. Water Resour. Res. 43, W06428.
32. Lidén, R. & Harlin, J. 2000 Analysis of conceptual rainfall-runoff modelling performance in different climates. J. Hydrol. 238, 23 1-247.
33. Lindstrom, G., Johansson, B., Persson, M., Gardelin, M. & Bergstrom, S. 1997 Development and test of the distributed HBV-96 hydrological model. J. Hydrol. 201, 272-288.
34. Mathevet, T. & Garçon, R. 2010 Tall tales from the hydrological crypt: are models monsters? Hydrol. Sci. J. 55, 857-887.
35. McMillan, H., Freer, J., Pappenberger, F., Krueger, T. & Clark, M. 2010 Impacts of uncertain river flow data on rainfall-runoff model calibration and discharge predictions. Hydrol. Process. 24, 1270-1284.
36. Minville, M., Brissette, F. & Leconte, R. 2008 Uncertainty of the impact of climate change on the hydrology of a nordic watershed. J. Hydrol. 358, 70-83.
37. Montanan, A. 2004 An attempt to quantify uncertainty in observed river flows: effect on parameterisation and performance evaluation of rainfall-runoff models. AGU Fall Meet. Abstr. Available at: http://adsabs.harvard.edu/abs/ 2004AGUFM. H11G.03M.
38. Moyeed, R. A. & Clark, R. T. 2005 The use of Bayesian methods for fitting rating curves, with case studies. Adv. Water Resour. 28, 807-818.
39. Nash, J. E. & Sutcliffe, J. V. 1970 River flow forecasting through conceptual models - Part I - A discussion of principles. J. Hydrol. 10, 282-290.
40. Pappenberger, F, Matgen, P., Beven, K. J., Henry, J. B., Pfister, L. & Fraipont, P. 2006 Influence of uncertain boundary conditions and model structure on flood inundation predictions. Adv. Water Resour. 29, 1430-1449.
41. Pelletier, P. M. 1988 Uncertainties in the single determination of river discharge: a literature review. Can. J. Civ. Eng. 13, 834-850.
42. Sivapalan, M., Takeuchi, K., Franks, S. W., Gupta, V. K., Karambiri, H., Lakshmi, V., Liang, X., McDonnell, J. J., Mendiondo, E. M., O'Connell, P. E., Oki, T., Pomeroy, J. W., Schertzer, D., Uhlenbrook, S. & Zehe, E. 2003 IAHS Decade on Predictions in Ungauged Basins (PUB), 2003-2012: shaping an exciting future for the hydrological sciences. Hydrol. Sci. J. 48, 857-880.
43. SMHI 2003 Integrated Hydrological Modeling System (IHMS). Manual Version 4.5. Swedish Meteorological and Hydrological Institute, Norrkoping, Sweden.
44. Sun, W. C. Ishidaira. H. & Bastola. S. 2010 Towards improving river discharge estimation in ungauged basins: Calibration of rainfall- runoff models based on satellite observations of river flow width at basin outlet. Hydrol. Earth SysL Sci. 14, 2011-2022.
45. Van Pelt, S. C., Kabat, P., Ter Maat, H. W., Van den Hurk, B. J. J. M. & Weerts, A. H. 2009 Discharge simulations performed with a hydrological model using bias corrected regional climate model input. Hydrol. Earth Syst. Sci. 13, 2387-2397.
46. Venetis, C. 1970 A note on the estimation of the parameters in logarithmic stage-discharge relationships with estimation of their error. Hydrol. Sci. Bull. 15, 105-111.
47. Verbunt. M. Zwaaftink, M. G. & Gurtz, J. 2005 The hydrological impact of land cover changes and hydropower stations in the Alpine Rhine basin. Ecol. Model. 187, 7 1-84.
48. Vrugt, J. A., Gupta, H. V., Bouten, W. & Sorooshian, S. 2003 A Shuffled Complex Evolution Metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters. Water Resour. Res. 39, 1201.
49. Xu, K. Q. 2004 Estimating river discharge from very high- resolution satellite data: a case study in the Yangtze River, China. Hydrol. Process. 18, 1927-1939.