Evaluating the Effects of Inundation Duration and Velocity on Selection of Flood Management Alternatives Using Multi-Criteria Decision Making

Water Resources Management

Volumn 29, Issue 8, 2015, Pages 2543-2561

  Ahmadisharaf, Ebrahim ^a   Kalyanapu, Alfred J ^a   Chung, Eun Sung ^b  

^a Tennessee Technological University   (United States)

^b Seoul National University of Science and Technology   (South Korea)

Author keywords

Assessment of flood management alternatives; Flood2D GPU; Inundation duration; Inundation velocity; Spatial compromise programming (SCP)

Indexed keywords

FLOOD CONTROL; FLOODS; VELOCITY;

COMPROMISE PROGRAMMING; FLOOD MANAGEMENT; FLOOD2D-GPU; INUNDATION DURATION; MULTI-CRITERIA DECISION MAKING; NORTH CAROLINA; RIVER WATERSHEDS; TWO DIMENSIONAL (2 D);

DECISION MAKING;

EID: 84939940903     PISSN: 09204741     EISSN: 15731650     Source Type: Journal    
DOI: 10.1007/s11269-015-0956-4     Document Type: Article

References (55)

1. Ahmadisharaf E, Bhuiyan MNM, Kalyanapu AJ (2013) Impact of spatial resolution on downstream flood hazard due to dam break events using probabilistic flood modeling. 5th Dam Saf Conf. Association of State Dam Safety Officials (ASDSO), Providence
2. Bana E, Costa CA, Da Silva PA, Correia FN (2004) Multicriteria evaluation of flood control measures: the case of ribeira do livramento. Water Resour Manag 18:263–283
3. Bonnin G, Todd D, Lin B, Parzybok T, Yekta M, Riley D (2004) Precipitation frequency atlas of the United States. NOAA Atlas 14:2
4. Brouwer R, Van Ek R (2004) Integrated ecological, economic and social impact assessment of alternative flood control policies in the Netherlands. Ecol Econ 50:1–21
5. Chen YR, Yeh CH, Yu B (2011) Integrated application of the analytic hierarchy process and the geographic information system for flood risk assessment and flood plain management in Taiwan. Nat Hazards 59:1261–1276
6. Citeau JM (2003) A New control concept in the Oise catchment area definition and assessment of flood compatible agricultural activities. FIG Working Week, Paris
7. Cohen J (1960) A coefficient of agreement for nominal scales. Educ Psychol Meas 20:37–46
8. Dang MN, Mukand SB, Huynh TL (2011) Evaluation of flood risk parameters in the Day river flood diversion area, Red river delta, Vietnam. Nat Hazards 56:169–194
9. Dutta D, Herath S, Musiake K (2003) A mathematical model for flood loss estimation. J Hydrol 277:24–49
10. Fernandez DS, Lutz MA (2011) Urban flood hazard zoning in Tucuman Province, Argentina, using GIS and multicriteria decision analysis. Eng Geol 111:90–98
11. Ferziger JH, Peric M (2002) Computational methods for fluid dynamics, 3rd edn. Springer, Berlin
12. Forster S, Kuhlmann B, Lindenschmidt KE, Bronstert A (2008) Assessing flood risk for a rural detention area. Nat Hazards Earth Syst Sci 8:311–322
13. Hajkowicz S, Collins K (2007) A review of multiple criteria analysis for water resources planning and management. Water Resour Manag 21:1553–1566
14. Horritt MS (2000) Calibration of a two‐dimensional finite element flood flow model using satellite radar imagery. Water Resour Res 36:3279–3291
15. Horritt MS, Bates PD (2001a) Effects of spatial resolution on a raster based model of flood flow. J Hydrol 253:239–249
16. Horritt MS, Bates PD (2001b) Predicting floodplain inundation: raster‐based modelling versus the finite‐element approach. Hydrol Process 15:825–842
17. Jonkman SN, Vrijling JK, Vrouwenvelder ACWM (2008) Methods for the estimation of loss of life due to floods: a literature review and a proposal for a new method. Nat Hazards 46:353–389
18. Jonkman SN, Maaskant B, Kolen B, Zethof M, Lehman W (2013) Loss of Life, Evacuation and Emergency Management: Comparison and Application to Case Studies in the USA
19. Jun KS, Chung ES, Kim YG, Kim Y (2013) A fuzzy multi-criteria approach to flood risk vulnerability in South Korea by considering climate change impacts. Expert Syst Appl 40:1003–1013
20. Kalyanapu AJ, Shankar S, Stephens A, Judi DR, Burian S (2011) Assessment of GPU computational enhancement to a 2D flood model. J Environ Model Softw 26:1009–1016
21. Kalyanapu AJ, Shankar S, Stephens A, Judi DR, Burian S (2012) Monte Carlo-based flood modelling framework for estimating probability weighted flood risk. J Flood Risk Manag 5:37–48
22. Kalyanapu AJ, Hossain AA, Kim J, Yigzaw W, Hossain F, Shum CK (2013) Toward a methodology to investigate the downstream flood hazards on the American River due to changes in probable maximum flood due to effects of artificial reservoir size and land-use/land-cover patterns. Earth Interact 17:1–24
23. Kalyanapu AJ, Judi DR, McPherson TN, Burian SJ (2014) Annualised risk analysis approach to recommend appropriate level of flood control: application to Swannanoa river watershed. J Flood Risk Manag. doi:10.1111/jfr3.12108
24. Kourgialas NN, Karatzas GP (2012) Flood management and a GIS modeling method to assess flood hazard areas-a case study. Hydrol Sci J 56:212–225
25. Kreibich H, Piroth K, Seifert I, Maiwald H, Kunert U, Schwartz J, Merz B, Thieken AH (2009) Is flow velocity a significant parameter in flood damage modeling? Nat Hazards Earth Syst Sci 9:1679–1992
26. Lee GM, Jun KS, Chung ES (2013) Integrated multi-criteria flood vulnerability approach using Fuzzy TOPSIS and Delphi technique. Nat Hazards Earth Syst Sci 13:1293–1312
27. Lee GM, Jun KS, Chung ES (2014) Robust spatial flood vulnerability assessment for Han River using fuzzy TOPSIS with alpha-level sets. Expert Syst Appl 41:644–654
28. Lee GM, Jun KS, Chung ES (2015) Group decision making approach for flood vulnerability identification with the fuzzy VIKOR method. Nat Hazards Earth Syst Sci Discuss 2:6141–6171
29. Levy JK (2005) Multiple criteria decision making and decision support systems for flood risk management. Stoch Environ Res Risk Assess 19:438–447
30. Levy JK, Hartmann J, Li KW, An Y, Asgary A (2007) Multi-criteria decision support systems for flood hazard mitigation and emergency response in urban watersheds. J Am Water Resour Assoc 43:346–358
31. Lillywhite J, Kalyanapu, AJ (2011) Water supply reliability assessment using Monte Carlo Simulation. 47th Annu Water Resour Conf, Albuquerque, NM
32. McCuen RH (1998) Hydrologic analysis and design. Prentice-Hall, Englewood Cliffs
33. Merz B, Kreibich H, Thieken A, Schmidtke R (2004) Estimation uncertainty of direct monetary flood damage to buildings. Nat Hazards Earth Syst Sci 4:153–163
34. Meyer V, Scheuer S, Haase D (2009) A multicriteria approach for flood risk mapping exemplified at the Muddle River, Germany. Nat Hazards 48:17–39
35. Munda G (2006) Social multi-criteria evaluation for urban sustainability policies. Land Use Policy 23:86–94
36. National Weather Service (NWS) (2013) Hydrologic Information Center - Flood loss data. Available at: http://www.nws.noaa.gov/hic/index.shtml. Accessed 17 September 2013
37. North Carolina Floodplain Management Program (NCFMP) (2011) NCFMP Program Review, Appendix B. http://www.ncfloodmaps.com/program_review.htm. Accessed 12 September 2012
38. Pistrika AK, Jonkman SN (2010) Damage to residential buildings due to flooding of New Orleans after hurricane Katrina. Nat Hazards 54:413–434
39. Qi H, Altinakar MS (2012) GIS-based decision support system for dam break flood management under uncertainty with two-dimensional numerical simulations. J Water Resour Plan Manag 138:334–341
40. Radmehr A, Araghinejad S (2014) Developing Strategies for Urban Flood Management of Tehran City Using SMCDM and ANN. J Computing in Civil Eng. 28 DOI: 10.1061/(ASCE)CP.1943-5487.0000360
41. Schröter K, Kreibich H, Vogel K, Riggelsen C, Scherbaum F, Merz B (2014) How useful are complex flood damage models? Water Resour Res 50:3378–3395
42. Schubert JE, Sanders BF (2012) Building treatments for urban flood inundation models and implications for predictive skill and modeling efficiency. Adv Water Resour 41:49–64
43. Simonovic RJ (1989) Application of water resources systems concept to the formulation of a water master plan. Water Int 14:37–50
44. Sinha R, Bapalu GV, Singh LK, Rath B (2008) Flood risk analysis in the Kosi River Basin, North Bihar using multi-parametric approach of Analytical Hierarchy Process (AHP). J Indian Soc Remote Sens 36:335–349
45. Stefanidis S, Stathis D (2013) Assessment of flood hazard based on natural and anthropogenic factors using analytic hierarchy process (AHP). Nat Hazards 68(2):569–585
46. Sun R, Wang X, Zhou Z, Ao X, Sun X, Song M. (2014) Study of the comprehensive risk analysis of dam-break flooding based on the numerical simulation of flood routing. Part I: model development. Nat Hazards 1–22
47. Tecle A, Shrestha BP, Duckstein L (1998) A multiobjective decision support system for multiresource forest management. Group Decis Negot 7:23–40
48. Tkach RJ, Simonovic RJ (1997) A new approach to multi-criteria decision-making in water resources. J Geogr Inf Decis Anal 1:25–44
49. UDFCD (2010) Cost estimator for master planning (UD-MP Cost) User Manual. Denver, CO
50. United Nations International Strategy for Disaster Reduction (UN-ISDR) (2013) Flood – Data and Statistics. http://www.preventionweb.net/english/hazards/statistics/?hid=62. Accessed 16 September 2013
51. US Inflation Calculator (2014) http://www.usinflationcalculator.com/. Accessed 5 January 2014
52. Willette K, Sharda R (1991) Using the analytic hierarchy process in water resources planning selection of flood control projects. Socio-Econ Plan Sci 25:103–112
53. Yigzaw W, Hossain F, Kalyanapu AJ (2013) Comparison of PMP-driven probable maximum floods with flood magnitudes due to increasingly urbanized catchment: the case of american river watershed. Earth Interact 17:1–15
54. Yu D, Lane SN (2006) Urban fluvial flood modelling using a two‐dimensional diffusion‐wave treatment, part 1: mesh resolution effects. Hydrol Process 20:1541–1565
55. Zou Q, Zhou J, Zhou J, Song L, Guo J (2012) Comprehensive flood risk assessment based on set pair analysis-variable fuzzy sets model and fuzzy AHP. Stoch Environ Res Risk Assess 27:525–546