Fuzzy set approach to calibrating distributed flood inundation models using remote sensing observations

Hydrology and Earth System Sciences

Volumn 11, Issue 2, 2007, Pages 739-752

  Pappenberger, F ^a,d   Frodsham, K ^b   Beven, K ^a,e   Romanowicz, R ^a   Matgen, P ^c  

^a LANCASTER UNIVERSITY   (United Kingdom)

^b JBA CONSULTING   (United Kingdom)

^c LUXEMBOURG INSTITUTE OF SCIENCE AND TECHNOLOGY   (Luxembourg)

^d EUROPEAN CENTRE FOR MEDIUM RANGE WEATHER FORECASTS   (United Kingdom)

^e UPPSALA UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

FLOOD; FLOODING; FUZZY MATHEMATICS; NUMERICAL MODEL; REMOTE SENSING; SPATIAL DISTRIBUTION; SYNTHETIC APERTURE RADAR; TWO-DIMENSIONAL MODELING;

EID: 33846397714     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-11-739-2007     Document Type: Article

References (44)

1. Aronica, G., Bates, P. D., and Horritt, M. S.: Assessing the uncertainty in distributed model predictions using observed binary pattern information within GLUE, Hydrolog. Processes, 16(10), 2001-2016, 2002.
2. Aronica, G., Hankin, B., and Beven, K. J.: Uncertainty and equifinality in calibrating distributed roughness coefficients in a flood propagation model with limited data, Adv. Water Resour., 22(4), 349-365, 1998.
3. Bates, P. D. and De Roo, A. P. J.: A simple raster-based model for flood inundation simulation, J. Hydrol., 236(1-2), 54-77, 2000.
4. Bates, P. D., Horritt, M. S., Aronica, G., and Beven, K.: Bayesian updating of flood inundation likelihoods conditioned on flood extent data, Hydrol. Processes, 18(17), 3347-3370, 2004.
5. Bates, P. D., Wilson, M., Horritt, M., Mason, D., Holden, N., and Currie, A.: Reach scale floodplain inundation dynamics observed using airborne synthetic aperture radar imagery: Data analysis and modelling, J. Hydrol., 328(1-2), 306-318, 2006.
6. Beven, K. J.: A manifesto for the equifinality thesis, J. Hydrol., 320(1-2), 18-36, 2006.
7. Beven, K. J. and Binley, A.: The future of distributed models - model calibration and uncertainty prediction, Hydrolog. Processes, 6(3), 279-298, 1992.
8. Cheng, T., Molenaar, M., and Lin, H.: Formalizing fuzzy objects from uncertain classification results, Int. J. Geographical Information Science, 15(1), 27-42, 2001.
9. Dilley, M., Chen, R. S., Deichmann, U., Lerner-Lam, A. L., and Arnold, M.: Natural Disaster Hotspots: A Global Risk Analysis, World Bank, The, U.S., 150 pp, 2005.
10. ESA: European Space Agency, EnviSat ASAR Product Handbook, Issue 1.2 (http://envisat.esa.int/dataproducts/asar/CNTR. htm), 2004.
11. Hagen, A.: Fuzzy set approach to assessing similarity of categorical maps, International Journal of Geographical Information Science, 17(3), 235-249, 2003.
12. Hardy, R. J., Bates, P. D., and Anderson, M. G.: The importance of spatial resolution in hydraulic models for floodplain environments, J. Hydrol., 216(1-2), 124-136, 1999.
13. Horritt, M. S.: A statistical active contour model for SAR image segmentation, Image and Vision Computing, 17, 213-224, 1999.
14. Horritt, M. S.: A methodology for the validation of uncertain flood inundation models, J. Hydrol., 326(1-4), 153-165, 2006.
15. Horritt, M. S. and Bates, P. D.: Predicting floodplain inundation: raster-based modelling versus the finite-element approach, Hydrol. Processes, 15(5), 825-842, 2001.
16. Horritt, M. S. and Bates, P. D.: Evaluation of ID and 2D numerical models for predicting river flood inundation, J. Hydrol., 268(1-4), 87-99, 2003.
17. Horritt, M. S., Mason, D. C., and Luckman, A. J.: Flood boundary delineation from Synthetic Aperture Radar imagery using a statistical active contour model, Int. J. Rem. Sens., 22(13), 2489-2507, 2001.
18. Hunter, N. M.: Flood Inundation Modelling - PhD Thesis, School of Geography, Bristol University, Bristol, 2006.
19. Hunter, N. M., Bates, P. D., Horritt, M. S., De Roo, P. J., and Werner, M. G. F.: Utility of different data types for calibrating flood inundation models within a GLUE framework, Hydrol. Earth Syst. Sci., 9, 412-430, 2005a.
20. Hunter, N. M., Horritt, M. S., Bates, P. D., Wilson, M. D., and Werner, M. G. F.: An adaptive time step solution for raster-based storage cell modelling of floodplain inundation, Adv. Water Resour., 28(9), 975-991, 2005b.
21. IRMA: FRHYMAP - flood risk scenarios and hydrological mapping, Final report of the IRMA-SPONGE Project, EC, 2002.
22. Kavetski, D., Kuczera, G., and Franks, S. W.: Calibration of conceptual hydrological models revisited: 1. Overcoming numerical artefacts, J. Hydrol., 320(1-2), 173-186, 2006.
23. Leopardi, A., Oliveri, E., and Greco, M.: Two-dimensional modeling of floods to map risk-prone areas. Journal of Water Resources Planning and Management-Asce, 128(3), 168-178, 2002.
24. Matgen, P., Henry, J.-B. F., Pappenberger, F., Pfister, L., de Fraipont, P., and Hoffmann, L.: Uncertainty in calibrating flood propagation models with flood boundaries derived from synthetic aperture radar imagery, XXth ISPRS Congress, International Society for Photogrammetry and Remote Sensing, Istanbul, Turkey, 2004.
25. Matgen, P., Schumann, G., Henry, J. B., Hoffmann, L., and Pfister, L.: Integration of SAR-derived river inundation areas, highprecision topographic data and a river flow model toward near real-time flood management, Int. J. Appl. Earth Obs. Geoinformation, in press, 2007.
26. Mignot, E., Paquier, A., and Haider, S.: Modeling floods in a dense urban area using 2D shallow water equations, J. Hydrol., 327(1-2), 186-199, 2006.
27. Pappenberger, F. and Beven, K. J.: Ignorance is bliss - or 7 reasons not to use uncertainty analysis, Water Resour. Res., 42(5), W05302, doi:10.1029/2005WR004820, 2006.
28. Pappenberger, F., Beven, K. J., Horritt, M. S., and Blazkova, S.: Uncertainty in the calibration of effective roughness parameters in HEC-RAS using inundation and downstream level observations, J. Hydrol., 302, 46-69, 2005.
29. Pappenberger, F., Matgen, P., Beven, K. J., Henry, J.-B., Pfister, L., and de Fraipont, P.: Influence of uncertain boundary conditions and model structure on flood inundation predictions, Adv. Water Resour., 29(10), 1430-1449, 2006a.
30. Pappenberger, F., Matgen, P., Beven, K. J., Henry, J.-B., Pfister, L., and de Fraipont, P.: Influence of uncertain boundary conditions and model structure on flood inundation predictions, Adv. Water Resour., 29(10), 1430-1449, 2006b.
31. Pappenberger, F., Beven, K. J., Frodsham, K., Romanowicz, R., and Matgen, P.: Grasping the unavoidable subjectivity in calibration of flood inundation models: A vulnerability weighted approach, J. Hydrol., 333(2-4), 275-287, 2007.
32. Power, C., Simms, A., and White, R.: Hierarchical fuzzy pattern matching for the regional comparison of land use maps, Int. J. Geographical Information Science, 15(1), 77-100, 2001.
33. Ratto, M., Saltelli, A., Tarantola, A., and Young, P.: Improved and accelerated sensitivity analysis using State Dependent Parameter models, Sensitivity Analysis of Model Output, Santa Fe, New Mexico, 8-11 March 2004.
34. Romanowicz, R. and Beven, K. J.: Estimation of flood inundation probabilities as conditioned on event inundation maps, Water Resour. Res., 39(3), 1073, doi:10.1029/2001WR001056, 2003.
35. Romanowicz, R., Beven, K. J., and Tawn, J.: Bayesian calibration of flood inundation models, in: Floodplain Processes, edited by: Anderson, M. G., Walling, D. E., and Bates, P. D., John Wiley & Sons, New York, pp. 333-360, 1996.
36. Romanowicz, R. J. and Macdonald, R.: Modelling Uncertainty and Variability in Environmental Systems, Acta Geophysica Polonica, 53, 401-417, 2005.
37. Roux, H. and Dartus, D.: Use of parameter optimization to estimate a flood wave: Potential applications to remote sensing of rivers, J. Hydrol., 328(1-2), 258-266, 2006.
38. Saltelli, A., Tarantola, A., Campolongo, F., and Ratto, M.: Sensitivity Analysis in Practice - A Guide to Assessing Scientific Models, John Wiley & Sons, Chichester, 2004.
39. Schumann, G., Henry, J. B., Hoffmann, L., Pfister, L., Matgen, P., and Pappenberger, F.: Demonstrating the high potential of remote sensing in hydraulic modelling and near real-time flood risk management, RSPSoc and NERC Eartch Observation conference, 6-9 Septemer 2005, University of Plymouth, 2005.
40. Thieken, A. H., Muller, M., Kreibich, H., and Merz, B.: Flood damage and influencing factors: New insights from the August 2002 flood in Germany, Water Resour. Res., 41(12), doi:10.1029/2005WR004177, 2005.
41. Werner, M., Blazkova, S., and Petr, J.: Spatially distributed observations in constraining inundation modelling uncertainties, Hydrol. Processes, 19(16), 3081-3096, 2005a.
42. Werner, M. G. F.: A comparison of flood extent modelling approaches through constraining uncertainties on gauge data, Hydrol. Earth Syst. Sci., 8(6), 1141-1152, 2004.
43. Werner, M. G. F., Hunter, N. M., and Bates, P. D.: Identifiability of distributed floodplain roughness values in flood extent estimation, J. Hydrol., 314(1-4), 139-157, 2005b.
44. Yu, D. and Lane, S. N.: Urban fluvial flood modelling using a two-dimensional diffusion-wave treatment, part 2: development of a sub-grid-scale treatment, Hydrol. Processes, 20(7), 1567-1583, 2006.