Joint Monte Carlo and possibilistic simulation for flood damage assessment

Stochastic Environmental Research and Risk Assessment

Volumn 27, Issue 3, 2013, Pages 725-735

  Yu, J J ^a,b   Qin, X S ^a,c   Larsen, O ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^c NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Depth damage function; Flood damage; Flood inundation model; Fuzzy vertex; Monte Carlo; Uncertainty

Indexed keywords

DECISION MAKING; FLOOD CONTROL; FLOOD DAMAGE; MONTE CARLO METHODS; RISK ASSESSMENT; RISK MANAGEMENT; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; UNCERTAINTY ANALYSIS;

CUMULATIVE PROBABILITIES; DAMAGE FUNCTIONS; FLOOD INUNDATION MODELING; FUZZY VERTEX; POSSIBILISTIC UNCERTAINTIES; RATIONAL DECISION MAKING; STOCHASTIC UNCERTAINTIES; UNCERTAINTY;

DAMAGE DETECTION;

COMPUTER SIMULATION; DECISION MAKING; FLOOD DAMAGE; FUZZY MATHEMATICS; MONTE CARLO ANALYSIS; NUMERICAL MODEL; RISK ASSESSMENT; STOCHASTICITY; UNCERTAINTY ANALYSIS;

EID: 84874195798     PISSN: 14363240     EISSN: 14363259     Source Type: Journal    
DOI: 10.1007/s00477-012-0635-4     Document Type: Article

References (39)

1. Ahmad SS, Simonovic SP (2011) A three-dimensional fuzzy methodology for flood risk analysis. J Flood Risk Manag 4(1): 53-74.
2. Apel H, Thieken AH, Merz B, BlÖschl G (2006) A probabilistic modelling system for assessing flood risks. Nat Hazards 38: 79-100.
3. Aronica G, Hankin B, Beven K (1998) Uncertainty and equifinality in calibrating distributed roughness coefficients in a flood propagation model with limited data. Adv Water Resour 22(4): 349-365.
4. Aronica G, Bates PD, Horritt MS (2002) Assessing the uncertainty in distributed model predictions using observed binary pattern information within GLUE. Hydrol Process 16: 2001-2016.
5. Bates PD, De Roo APJ (2000) A simple raster-based model for floodplain inundation. J Hydrol 236: 54-77.
6. Bates PD, Horritt MS, Aronica G, Beven K (2004) Bayesian updating of flood inundation likelihoods conditioned on flood extent data. Hydrol Processes 18(17): 3347-3370.
7. Bates PD, Fewtrell T, Trigg M, Neal J (2008) LISFLOOD-FP user manual and technical note, code release 4. 3. 6, University of Bristol, April 25th, 2008.
8. Berning C, Viljoen MF, du Plessis LA (2000) Loss functions for sugar-cane: depth and duration of inundation as determinants of extent of flood damage. WRC Report No 1326. http://www. wrc. org. za/Lists/Knowledge%20Hub%20Items/Attachments/4426/2000_October_1326a_ABSTRACT. pdf.
9. de Moel H, Aerts JCJH (2011) Effect of uncertainty in land use, damage models and inundation depth on flood damage estimates. Nat Hazards 58: 407-425.
10. Deviney FA Jr, Brown DE, Rice KC (2012) Evaluation of bayesian estimation of a hidden continuous-time Markov chain model with application to threshold violation in water-quality indicators. J Environ Inform 19(2): 70-78.
11. Estrela T, Quintas L (1994) Use of a GIS in the modelling of flows on floodplains. In: White WR, Watts J (eds) Proceedings of the 2nd international conference on river flood hydraulics. Wiley, New York. pp 177-189.
12. Fu DZ, Li YP, Huang GH (2012) A fuzzy-Markov-chain-based analysis method for reservoir operation. Stoch Env Res Risk Assess 26(3): 375-391.
13. Hall JW, Tarantola S, Bates PD, Horritt MS (2005) Distributed sensitivity analysis of flood inundation model calibration. J Hydraul Eng 131(2): 117-126.
14. He Y, Wetterhall F, Cloke HL, Pappenberger F, Wilson M, Freer J, McGregor G (2009) Tracking the uncertainty in flood alerts driven by grand ensemble weather predictions. Meteorol App 16(1): 91-101.
15. Horritt MS, Bates PD (2001) Predicting floodplain inundation: raster-based modelling versus the finite element approach. Hydrol Process 15: 825-842.
16. Huang GH, Cao MF (2011) Analysis of solution methods for interval linear programming. J Environ Inform 17(2): 54-64.
17. Kelman I, Spence R (2004) An overview of the flood actions on buildings. Eng Geol 73(3-4): 297-309.
18. Kentel E, Aral MM (2005) 2D Monte Carlo versus 2D fuzzy Monte Carlo health risk assessment. Stoch Env Res Risk Assess 19: 86-96.
19. Lekuthai A, Vongvisessomjai S (2001) Intangible flood damage quantification. Water Resour Manage 15: 343-362.
20. Li JB, Huang GH, Chakma A, Zeng GM, Liu L (2003) Integrated fuzzy-stochastic modeling of petroleum contamination in subsurface. Energy Source 25: 547-563.
21. Li HL, Huang GH, Zou Y (2008) An integrated fuzzy-stochastic modeling approach for assessing health-impact risk from air pollution. Stoch Env Res Risk Assess 22(6): 789-803.
22. Li YP, Huang GH, Chen X (2009) Multistage scenario-based interval-stochastic programming for planning water resources allocation. Stoch Env Res Risk Assess 23: 781-792.
23. Liu Z, Tong TY (2011) Using HSPF to model the hydrologic and water quality impacts of riparian land-use change in a small watershed. J Environ Inform 17(1): 1-14.
24. Lv Y, Huang GH, Li YP, Yang ZF, Liu Y, Cheng GH (2010) Planning regional water resources system using an interval fuzzy bi-level programming method. J Environ Inform 16: 43-56.
25. Maskey S (2004) Advances in hydro-science and engineering, vol VI. Brisbane, Australia.
26. Merz B, Kreibich H, Thieken A, Schmidtke R (2004) Estimation uncertainty of direct monetary flood damage to buildings. Nat Hazards Earth Syst Sci 4(1): 153-163.
27. Merz B, Thieken AH, Gocht M (2007) Flood risk mapping at the local scale: concepts and challenges. In: Advances in natural and technological hazards research, vol 13. Springer, Dordrecht. pp 231-251.
28. Nandalal HK, Ratnayake UR (2011) Flood risk analysis using fuzzy models. J Flood Risk Manag 4(2): 128-139.
29. Pappenberger F, Matgen P, Beven KJ, Henry J, Pfister L, de Fraipont P (2006) Influence of uncertain boundary conditions and model structure on flood inundation predictions. Adv Water Resour 29: 1430-1449.
30. Pappenberger F, Beven KJ, Ratto M, Matgen P (2008) Multi-method global sensitivity analysis of flood inundation models. Adv Water Resour 31: 1-14.
31. Penning-Rowsell EC, Johnson C, Tunstall S, Tapsell S, Morris J, Chatterton J, Green C (2005) The benefits of flood and coastal risk management: a handbook of assessment techniques. Middlesex University Press, Flood Hazard Research Centre.
32. Pukelsheim F (1994) The three sigma rule. Am Stat 48(2): 88-91.
33. Qi H, Altinakar MS (2011) Simulation-based decision support system for flood damage assessment under uncertainty using remote sensing and census block information. Nat Hazards 59: 1125-1143.
34. Qin XS, Huang GH (2009) Characterizing uncertainties associated with contaminant transport modeling through a coupled fuzzy-stochastic approach. Water Air Soil Pollut 197: 331-348.
35. Saltelli A, Chan A, Scott NA (2000a) Sensitivity analysis. Mathematical and statistical methods. Wiley, Weinheim.
36. Saltelli A, Tarantola S, Campolongo F (2000b) Sensitivity analysis as an ingredient of modeling. Stat Sci 15(4): 377-395.
37. Smith DI (1994) Flood damage estimation-a review of urban stage-damage curves and loss functions. Water SA 20(3): 231-238.
38. Straatsma M, Huthoff F (2010) The effect of uncertain floodplain roughness in hydrodynamic flood simulations. In: Proceedings of the 10th international symposium on stochastic hydraulics, Quebec City, QC, Canada, July 2010.
39. Tang JCS, Vongvisessomjai S, Sahasakmontri K (1992) Estimation of flood damage cost for Bankok. Water Resour Manage 6: 47-56.