Application of a model-based rainfall-runoff database as efficient tool for flood risk management

Hydrology and Earth System Sciences

Volumn 17, Issue 8, 2013, Pages 3159-3169

  Brocca, L ^a   Liersch, S ^b   Melone, F ^a   Moramarco, T ^a   Volk, M ^c  

^a CNR Consiglio Nazionale delle Ricerche   (Italy)

^b POTSDAM INSTITUTE FOR CLIMATE IMPACT RESEARCH   (Germany)

^c HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CATCHMENTS; COMPUTER SIMULATION; FLOOD CONTROL; FLOODS; FORECASTING; RAIN; RUNOFF; STOCHASTIC MODELS;

CONTINUOUS RAINFALL-RUNOFF MODELS; FLOOD RISK ASSESSMENTS; FLOOD RISK MANAGEMENT; OPERATIONAL FORECASTS; RAINFALL-RUNOFF DATABASE; RAINFALL-RUNOFF MODELING; RAINFALL-RUNOFF MODELS; TEMPORAL DISTRIBUTION;

DATABASE SYSTEMS;

CATCHMENT; DATABASE; FLOOD; GAUGE; NUMERICAL MODEL; RAINFALL-RUNOFF MODELING; REAL TIME; RISK ASSESSMENT; RIVER DISCHARGE; STOCHASTICITY; STREAMFLOW;

ITALY; TIBER RIVER;

EID: 84887427545     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-17-3159-2013     Document Type: Article

References (45)

1. Asquith, W. H., Thompson, D. B., Cleveland, T. G., and Fang, X.: Synthesis of Rainfall and Runoff Data used for Texas Department of Transportation Research Projects 0-4193 and 0-4194, US Geological Survey, Open File Report 2004-103, p. 50, 2004.
2. Bae, D. H., Georgakakos, K. P., and Nanda, S. K.: Operational forecasting with real-time databases, J. Hydraul. Div.-ASCE, 121, 49-60, 1995.
3. Barbetta, S., Moramarco, T., Brocca, L., Franchini, M., and Melone, F.: Confidence interval of real-time forecast stages provided by the STAFOM-RCM model: the case study of the Tiber River (Italy), Hydrol. Process., online first, doi:10.1002/hyp.9613, 2012.
4. Berni, N., Brocca, L., Giustarini, L., Pandolfo, C., Stelluti, M., Melone, F., Moramarco, T.: Coupling hydrological and hydraulic modeling for a reliable flood risk mitigation activities in the Upper-Medium Tiber River basin, Geophys. Res. Abstr., EGU2009-9498-3, EGU General Assembly 2009, Vienna, Austria, 2009a.
5. Berni, N., Pandolfo, C., Ponziani, F., Stelluti, M., and Viterbo, A.: Umbria Region Forecasting/Decision Support fr Hydraulic Risk Mitigation Purposes, in: Proceedings of the Tenth International Conference on Computing and Control in the Water Industry, CRC Press, Sheffield (UK), 6 pp., 2009b.
6. Beven, K. J. and Binley, A. M.: The future of distributed models: model calibration and predictive uncertainty, Hydrol. Process., 6, 279-298, 1992.
7. Bras, R. L. and Rodriguez-Iturbe, I.: Random function and hydrology, Addison-Wesley Publishing Company, 1985.
8. Brocca, L., Melone, F., and Moramarco, T.: On the estimation of antecedent wetness conditions in rainfall-runoff modelling, Hydrol. Process., 22, 629-642, 2008a.
9. Brocca, L., Melone, F., Moramarco, T., and Singh, V. P.: A continuous rainfall-runoff model as tool for the critical hydrological scenario assessment in natural channels, in: Taniguchi, M., Burnett, W. C., Fukushima, Y., Haigh, M., and Umezawa, Y., From headwater to the ocean. Hydrological changes and managements, Taylor & Francis Group, London, 175-179, 2008b.
10. Brocca, L., Melone, F., Moramarco, T., and Singh, V. P.: Assimilation of observed soil moisture data in storm rainfall-runoff modelling, J. Hydrol. Eng., 14, 153-165, 2009.
11. Brocca, L., Melone, F., Moramarco, T., Wagner, W., Naeimi, V., Bartalis, Z., and Hasenauer, S.: Improving runoff prediction through the assimilation of the ASCAT soil moisture product, Hydrol. Earth Syst. Sci., 14, 1881-1893, doi:10.5194/hess-14-1881-2010, 2010.
12. Brocca, L., Melone, F., and Moramarco, T.: Distributed rainfallrunoff modelling for flood frequency estimation and flood forecasting, Hydrol. Process., 25, 2801-2813, 2011a.
13. Brocca, L., Melone, F., Moramarco, T., Penna, D., Borga, M., Matgen, P., and Heitz, S.: Investigation of the hydrologic response of three experimental basins across Europe, Journal for Land Management, Food and Environment, 62, 31-37, 2011b.
14. Camici, S., Tarpanelli, A., Brocca, L., Melone, F., and Moramarco, T.: "Design soil moisture" estimation by comparing continuous and storm-based rainfall-runoff modelling, Water Resour. Res., 47, W05527, doi:10.1029/2010WR009298, 2011.
15. Chao, Z., Hua-sheng, H.,Wei-min, B., and Luo-ping, Z.: Robust recursive estimation of auto-regressive updating model parameters for real-time flood forecasting, J. Hydrol., 349, 376-382, 2008.
16. Cloke, H. and Pappenberger, F.: Ensemble flood forecasting: A review, J. Hydrol., 375, 613-626, 2009.
17. Cowpertwait, P. S. P.: Further developments of the Neyman-Scott clustered point process for modelling rainfall, Water Resour. Res., 27, 1431-1438, 1991a.
18. Cowpertwait, P. S. P.: The stochastic generation of rainfall time series, Ph.D. Thesis, University of Newcastle upon Tyne, 1991b.
19. Cowpertwait, P. S. P., O'Connell, P. E., Metcalfe, A. V., and Mawdsley, J. A.: Stochastic point process modelling of rainfall. I. Single-site fitting and validation, J. Hydrol., 175, 17-46, 1996.
20. Damle, C. and Yalcin, A.: Flood prediction using Time Series Data Mining, J. Hydrol., 333, 305-316, 2007.
21. de Roo, A. P. J., Gouweleeuw, B., Thielen, J., Bartholmes, J., Bongioannini-Cerlini, P., Todini, E., Bates, P. D., Horritt, M., Hunter, N., Beven, K., Pappenberger, F., Heise, E., Rivin, G., Hils, M., Hollingsworth, A., Holst, B., Kwadijk, J., Reggiani, P., Van Dijk, M., Sattler, K., and Sprokkereef, E.: Development of a European flood forecasting system, Int. J. River Basin Manage., 1, 49-59, 2003.
22. Gabellani, S., Boni, G., Ferraris, L., von Hardenberg, J., and Provenzale, A.: Propagation of uncertainty from rainfall to runoff: A case study with a stochastic rainfall generator, Adv. Water Resour., 30, 2061-2071, 2007.
23. Georgakakos, K. P., Carpenter, T. M., Cramer, J. A., Sperfslage, J. A., Sweeney, T. L., and Fread, D. L.: National system for threshold runoff estimation, in: Engineering Hydrology, edited by: Kuo, C. Y., American Society of Civil Engineers, New York, 952-957, 1993.
24. Hartigan, J. and Wong, M.: Algorithm AS 136: A K-Means Clustering Algorithm, J. Roy. Stat. Soc. C-App., 28, 100-108, 1979.
25. Hashemi, A. M., Franchini, M., and O'Connell, P. E.: Climatic and basin factors affecting the flood frequency curve: PART I - A simple sensitivity analysis based on the continuous simulation approach, Hydrol. Earth Syst. Sci., 4, 463-482, doi:10.5194/hess-4-463-2000, 2000.
26. Hoffmann, L., Idrissi, A. E., Pfister, L., Hingray, B., Guex, F., Musy, A., Humbert, J., Drogue, G., and Leviandier, T.: Development of regionalized hydrological models in an area with short hydrological observation series, River Res. Appl., 20, 243-254, 2004.
27. Hurst, H. E.: Long-term storage capacity of reservoirs, T. Am. Soc. Eng., 116, 770-799, 1951.
28. Jakeman, A. J., Littlewood, I. G., and Whitehead, P. G.: Computation of the instantaneous unit hydrograph and identifiable component flows with application to two small upland catchments, J. Hydrol., 117, 275-300, 1993.
29. Kirchner, J. W.: Getting the right answers for the right reasons: Linking measurements, analyses, and models to advance the science of hydrology, Water Resour. Res., 42, W03S04, doi:10.1029/2005WR004362, 2006.
30. Krzysztofowicz, R.: Integrator of uncertainties for probabilistic river stage forecasting: precipitation-dependent model, J. Hydrol., 249, 69-85, 2001.
31. Liersch, S. and Volk, M.: A rainfall-runoff database to support flood risk management, in: Proceedings of the iEMSs Fourth Biennial Meeting: International Congress on Environmental Modelling and Software (iEMSs 2008), edited by: Sànchez-Marrè, M., Béjar, J., Comas, J., Rizzoli, A. E., and Guariso, G., International Environmental Modelling and Software Society, Barcelona, Catalonia, 494-502, 2008.
32. Matgen, P., Fenicia, F., Heitz, S., Plaza, D., de Keyser, R., Pauwels, V. R. N., Wagner, W., and Savenije, H.: Can ASCAT-derived soil wetness indices reduce predictive uncertainty in well-gauged areas? A comparison with in-situ soil moisture gauges in an assimilation application, Adv. Water Resour., 44, 49-65, 2012.
33. Montanari, A., Rosso, R., and Taqqu, M. S.: Fractionally differenced ARIMA models applied to hydrologic time series: identification, estimation and simulation,Water Resour. Res., 33, 1035-1044, 1997.
34. Moretti, G. and Montanari, A.: Inferring the flood frequency distribution for an ungauged basin using a spatially distributed rainfall-runoff model, Hydrol. Earth Syst. Sci., 12, 1141-1152, doi:10.5194/hess-12-1141-2008, 2008.
35. Nash, J. and Sutcliffe, J.: River flow forecasting through conceptual models, Part 1 - a discussion of principles, J. Hydrol., 10, 282-290, 1970.
36. Perrin, C., Oudin, L., Andreassian, V., Rojas-Serna, C., Michel, C., and Mathevet, T.: Impact of limited streamflow data on the efficiency and the parameters of rainfall-runoff models, Hydrolog. Sci. J., 52, 131-151, 2007.
37. Reggiani, P. and Weerts, A.: A Bayesian approach to decisionmaking under uncertainty: An application to real-time forecasting in the river Rhine, J. Hydrol., 356, 56-69, 2008.
38. Rodriguez-Iturbe, I., Febres De Power, B., and Valdes, J. B.: Rectangular pulses point process models for rainfall: analysis of empirical data, J. Geophys. Res., 92, 9645-9656, 1987.
39. Romanowicz, R. J., Young, P. C., Beven, K. J., and Pappenberger, F.: A data based mechanistic approach to nonlinear flood routing and adaptive flood level forecasting, Adv. Water Resour., 31, 1048-1056, 2008.
40. Smith, K. and Ward, R.: Floods: Physical Processes and Human Impacts, John Wiley, Chichester, 1998.
41. Tiwari, M. K. and Chatterjee, C.: Uncertainty assessment and ensemble flood forecasting using bootstrap based artificial neural networks (BANNs), J. Hydrol., 382, 20-33, 2010.
42. Van Steenbergen, N. and Willems, P.: Method for testing the accuracy of rainfall- runoff models in predicting peak flow changes due to rainfall changes, in a climate changing context, J. Hydrol., 414-415, 425-434, 2012.
43. Vaze, J., Post, D. A., Chiew, F. H. S., Perraud, J. M., Viney, N. R., and Teng, J.: Climate nonstationarity - Validity of calibrated rainfall-runoff models for use in climatic change studies, J. Hydrol., 394, 447-457, 2010.
44. Villarini, G., Krajewski, W. F., Ntelekos, A. A., Georgakakos, K. P., and Smith, J. A.: Towards probabilistic forecasting of flash floods: the combined effects of uncertainty in radar-rainfall and flash flood guidance, J. Hydrol., 394, 275-284, 2010.
45. Werner, M., Reggiani, P., De Roo, A., Bates, P., and Sprokkereef, E.: Flood forecasting and warning at the River Basin and at the European Scale, Natural Hazards, 36, 25-42, 2005.