Advances in decision support systems for flood disaster management: Challenges and opportunities

International Journal of Water Resources Development

Volumn 21, Issue 4, 2005, Pages 593-612

  Levy, Jason K ^a   Gopalakrishnan, Chennat ^b   Lin, Zhaohui ^c  

^a University of Hawaii Leeward Community College   (United States)

^b UNIVERSITY OF HAWAII   (United States)

^c INSTITUTE OF ATMOSPHERIC PHYSICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE CHANGE; DECISION SUPPORT SYSTEMS; DECISION THEORY; GEOGRAPHIC INFORMATION SYSTEMS; HYDROLOGY; INFORMATION TECHNOLOGY; REMOTE SENSING; RISK MANAGEMENT; WEATHER FORECASTING;

FLOOD DISASTER MANAGEMENT; FLOOD RISK MANAGEMENT; HYDROLOGIC MODELS; NUMERICAL WEATHER PREDICTION;

FLOOD CONTROL;

DECISION SUPPORT SYSTEM; DISASTER MANAGEMENT; FLOOD; NATURAL DISASTER; RISK ASSESSMENT;

EID: 29044448974     PISSN: 07900627     EISSN: 13600648     Source Type: Journal    
DOI: 10.1080/07900620500258117     Document Type: Article

References (77)

1. Al-Sabhan, W. Mulligan, M. & Blackburn, G. A. (2003) A real-time hydrological model for flood prediction using GIS and the WWW Computer, Environment, and Urban Systems, 27, pp. 9 - 32.
2. American Water Resources Association.(2005) Letter to the President of the United States, in: G. Galloway (Ed.) American Water Resources Association's Second National Water Resources Policy Dialogue. Tucson: American Water Resources Association.
3. Annan, K. (2005) Address of the UN Secretary-General Kofi Annan to the high-level segment of the International Meeting for the 10-year Review, available at http://un.by/en/news/world/2005/12-01-05-02.html, accessed August 2005
4. Appleton, B.(2002) Climate Changes the Water Rules: Dialogue on Water and Climate. Liverpool: Printfine.
5. Atger, F. (1999) The skill of ensemble prediction systems Monthly Weather Review, 127, pp. 1941 - 1953.
6. Barnston, A. G. (1994) Linear statistical short-term climate predictive skill in the Northern Hemisphere Journal of Climate, 7, pp. 1513 - 1564.
7. Barnston, A. G. & Ropelewski, C. F. (1992) Prediction of ENSO episodes using canonical correlation analysis Journal of Climate, 5, pp. 1316 - 1345.
8. Barton, I. & Bathols, J. (1989) Monitoring floods with AVHRR International Journal of Remote Sensing, 10, pp. 1873 - 1892.
9. Bengtsson, L. Schlese, U. Roeckner, E. Latif, M. Barnett, T. P. & Graham, N. (1993) A two-tiered approach to long-range climate forecasting Science, 261, pp. 1026 - 1029.
10. Buizza, R. & Hollingsworth, A. (2000) severe weather prediction using the ECMWF EPS ECMWF Newsletter, 89, pp. 2 - 12.
11. Charney, J. G. & Shukla, J. (1981) Monsoon Dynamics. New York: Cambridge University Press.
12. Clark, M. J. (1998) Putting water in its place: A perspective on GIS in hydrology and water management Hydrological Processes, 12, pp. 823 - 834.
13. Consortium of Universities for the Advancement of Hydrologic Science (2004) Available at http://cuahsi.sdsc.edu/html/index.html, accessed August 2005.
14. Correia, F. N. Saraiva, M. D. Da Silva, F. N. & Ramos, I. (1999) Floodplain management in urban developing areas: GIS-based flood analysis and urban growth modeling Water Resources Management, 13, pp. 23 - 37.
15. Deutsch, M. Ruggles, F. Guss, P. & Yost, E.(1973) Mapping the 1973 Mississippi floods from the Earth Resource Technology satellites. In Proceedings of International Symposium on Remote Sensing and Water Resource Management Burlington, VT: American Water Resources Association.
16. Folland, C. K. Owen, J. A. Ward, M. N. & Colman, A. W. (1991) Prediction of seasonal rainfall in the Sahel region of Africa using empirical and dynamic methods Journal of Forecasting, 10, pp. 2 - 56.
17. Frank, A. U. (1993) The use of geographical information system: The user interface is the system, in: S Medyckyj-Scott & H. Hearnshaw (Eds) Human Factors in Geographical Information Systems, Chapter 18. London: Belhaven Press.
18. Hajat, S. Erbi, K. L. Kovats, S. Menne, B. Edwards, S. & Haines, A. (2003) The human health consequences of flooding in Europe and the implications for public health Journal of Applied Environmental Science and Public Health, 1, pp. 13 - 21.
19. Hall, J. W. Meadowcroft, I. C. Sayers, P. B. & Bramley, M. E. (2003) Integrated flood risk management in England and Wales Natural Hazards Review, 4, pp. 126 - 135.
20. Hammer, G. L. Holzworth, D. P. & Stone, R. C. (1996) The value of skill in seasonal climate forecasting to wheat crop management in a region with high climatic variability Australian Journal of Agricultural Research, 47, pp. 717 - 737.
21. Hastenrath, S. (1995) Recent advances in tropical climate prediction Journal of Climate, 8, pp. 1519 - 1532.
22. Intergovernmental Panel on Climate Change. (2001) Climate Change 2001: The Scientific Basis. Cambridge: Cambridge University Press.
23. Islam, M. M. & Sadu, K. (2002) Development of priority map remote sensing data for flood counter measures by geographic information system Journal of Hydrological Engineering, 7, pp. 346 - 355.
24. Ji, M., Kumar, A. & Leetmaa, A. (1994) A multi-seasonal climate forecast system at the National Meteorology Centre Bulletin of the American Meteorological Society, 75, pp. 569 - 577.
25. Jonkman, S. N. (2005) Global perspectives on loss of human life caused by floods Natural Hazards, 34, pp. 151 - 175.
26. Kingston, S. Carver, S. Evans, A. & Turton, I. (2000) Web-based public participation geographical information systems: An aid to local environment decision-making Computer, Environment and Urban Systems, 24, pp. 109 - 122.
27. Kite, G. W. (1988) Frequency and Risk Analysis in Hydrology. Littleton, CO: Water Resources Publications.
28. Knaff, J. A. & Landsea, C. W. (1997) An El Niño Southern Oscillation climatology and persistence (CLIPER) forecasting scheme Weather Forecasting, 12, pp. 633 - 652.
29. Krishna, K. Kleeman, R. Cane, M. A. & Rajagopalan, B. (1999) Epochal changes in Indian monsoon-ENSO precursors Geophysical Research Letters, 26, pp. 75 - 78.
30. Landman, W. A. Mason, S. J. Tyson, P. D. & Tennant, W. J. (2001) Retro-active skill of multi-tiered forecasts of summer rainfall over southern Africa International Journal of Climatology, 21, pp. 1 - 19.
31. Lin, Z. Sun, J. Wei, J. Zhou, G. Zhang, X. Chen, H. & Lang, X. (2003) Real-time weather and seasonal climate predictions for 2002 summer and their verifications Climatic and Environmental Research, 8, pp. 241 - 257.
32. Livezey, R. E. & Barnston, A. G. (1988) An operational multifield analog prediction system for the United States seasonal temperature, part I: System design and winter experiments Journal of Geophysical Research, 93, pp. 19053 - 19074.
33. Lorenz, E. N. (1969) The predictability of a flow which possesses many scales of motion Tellus, 21, pp. 289 - 307.
34. Markar, M. S. Kwan, R. T. F. Conroy, A. L. Mingxin, L. Jing, Z. & Lina, A. (2002) Evaluation of five hydrologic models for real-time flood forecasting use in the Yangtze River catchment Proceedings of the Second International Symposium on Flood Defence, pp. 901 - 907. Beijing, China, 10-13 September 2002
35. Mason, S. J. Goddard, L. Graham, N. E. Yulaeva, E. Sun, L. & Arkin, P. A. (1999) The IRI seasonal climate prediction system and the 1997/98 El Niño event Bulletin of the American Meteorological Society, 80, pp. 1853 - 1873.
36. Meehl, G. A. Washington, W. M. Collins, W. D. Arblaster, J. M. Hu, A. Buja, L. E. Strand, W. G. & Teng, H. (2005) How much more global warming and sea level rise? Science, 307, pp. 1769 - 1772.
37. Mileti, D. (1999) Disasters by Design: A Reassessment of Natural Hazards in the United States. Washington, DC: Joseph Henry Press.
38. Miller, R. C. Guertin, D. P. & Heilman, P. (2004) Information technology in watershed management decision making Journal of the American Water Resources Association, 40, pp. 347 - 358.
39. Molteni, F. Buizza, R. Palmer, T. N. & Petroliagis, T. (1996) The ECMWF ensemble prediction system: Methodology and validation Quarterly Journal of the Royal Meteorological Society, 122, pp. 73 - 119.
40. Murray, D. (2005) Earth Policy Institute resources on ice melting. Available at http://www.earth-policy.org/Indicators/Ice/index.htm, accessed August 2005.
41. Myers, M. F. & White, G. F. (1993) The challenge of the Mississippi flood Environment, 35, pp. 6 - 35.
42. Mysiak, J. Giupponib, C. & Rosatoc, P. (2005) Towards the development of a decision support system for water resource management Environmental Modelling and Software, 20, pp. 203 - 214.
43. National Assessment Synthesis Team. (2000) Climate Change Impacts on the United States: The Potential Consequences of Climate Variability and Change. New York: Cambridge University Press.
44. National Audit Office. (2001) Inland Flood Defence: Report by the Comptroller and Auditor General of the National Audit Office. London: Stationery Office.
45. National Research Council.(1982) Levee Policy for the National Flood Insurance Policy. Washington, DC: National Academies Press.
46. Nilsson, C. Reidy, C. A. Dynesius, M. & Revenga, C. (2005) Fragmentation and flow regulation of the world's large river systems Science, 308, pp. 405 - 408.
47. Ott, T. & Swiaczny, F.(2001) Time-integrative Geographic Information Systems. Berlin: Springer.
48. Palmer, T. N. & Anderson, D. L. T. (1994) The prospects for seasonal forecasting Quarterly Journal of the Royal Meteorological Society, 120, pp. 755 - 793.
49. Palmer, T. N. Brankovic, C. & Richardson, D. S. (2000) A probability and decision-model analysis of PROVOST seasonal multi-model ensemble integrations Quarterly Journal of the Royal Meteorological Society, 126, pp. 2013 - 2034.
50. Pinter, N. (2005) One step forward, two steps back on US floodplains Science, 308(5719), pp. 207 - 208.
51. Quayle, E. T. (1929) Long-range rainfall forecasting from tropical (Darwin) air pressure Proceedings of the Royal Society, 41, pp. 160 - 164.
52. Rango, A. & Anderson, A. T. (1974) Flood hazard studies in the Mississippi River basin using remote sensing Water Resource Bulletin, 10, pp. 1060 - 1081.
53. Rosati, A. Miyakoda, K. & Gudgel, R. (1997) The impact of ocean initial conditions on ENSO forecasting with a coupled model Monthly Weather Review, 125, pp. 754 - 772.
54. Saaty, T. L. (2004) Decision making - The analytic hierarchy and network processes (AHP/ANP) Journal of Systems Science and Systems Engineering, 13, pp. 1 - 34.
55. Sahai, A. K. Soman, M. K. & Satyan, V. (2000) All India summer monsoon rainfall prediction using an artificial neural network Climate Dynamics, 16, pp. 291 - 302.
56. Sanyal, J. & Lu, X. (2004) Application of remote sensing in flood management with special reference to monsoon Asia: A review Natural Hazards, 33, pp. 283 - 301.
57. Simonovic, S. P. & Ahmad, S. (2005) Computer-based model for flood evacuation emergency planning Natural Hazards, 34, pp. 25 - 51.
58. Siyi, H. Dedun, S. & Wy, Y. (1996) Framework and design of the Yangtze River flood control decision support system Advances in Water Science, 7, pp. 283 - 294.
59. Smith, L. C. (1997) Satellite remote sensing of river inundation area, stage and discharge: A review Hydrological Processes, 11, pp. 1427 - 1439.
60. Stedinger, J. R. Vogel, R. M. & Foufoula-Georgiou, E.(1993) Frequency analysis of extreme events, in: D. R. Maidment (Ed.) Handbook of Hydrology New York: McGraw-Hill.
61. Stockdale, T. N. (2000) An overview of techniques for seasonal forecasting Stochastic Environmental Research and Risk Assessment, 14, pp. 305 - 318.
62. Stone, R. C. Hammer, G. L. & Marcussen, T. (1996) Prediction of global rainfall probabilities using phases of the Southern Oscillation Index Nature, 384, pp. 252 - 255.
63. Tangang, F. T. Tang, B. Monahan, A. H. & Hsieh, W. W. (1998) Forecasting ENSO events: A neural network - extended EOF approach Journal of Climate, 11, pp. 24 - 41.
64. Tholey, N. Clandillon, S. & De Fraipont, P. (1997) The contribution of space borne SAR and optical data in monitoring flood events: Examples in northern and southern France Hydrological Processes, 11, pp. 1427 - 1439.
65. Toth, Z. & Kalnay, E. (1997) Ensemble forecasting at NCEP and the breeding method Monthly Weather Review, 125, pp. 3297 - 3319.
66. Vermieren, J. C. & Watson, C. C. (2001) New technology for improved storm risk assessment in the Caribbean Disaster Management, 6, pp. 191 - 196.
67. Wang, Y. Colby, J. D. & Mulcahy, K. A. (2002) An efficient method for mapping flood extent in a coastal flood plain using Landsat TM and DEM data International Journal of Remote Sensing, 23, pp. 3681 - 3696.
68. Ward, N. M. & Folland, C. K. (1991) Prediction of seasonal rainfall in the north Nordeste of Brazil using eigenvectors of sea-surface temperatures International Journal of Climatology, 11, pp. 711 - 743.
69. Wei, Y. M. Fan, Y. Lu, C. & Tsai, H. T. (2004) The assessment of vulnerability to natural disasters in China by using the DEA method Environmental Impact Assessment Review, 24, pp. 427 - 439.
70. Werstedt, K. & Hersh, R. (2002) Climate forecasts in flood planning: promise and ambiguity Journal of the American Water Resources Association, 38, pp. 1703 - 1713.
71. Wigley, T. M. L. (2005) The climate change commitment Science, 307, pp. 1766 - 1769.
72. Wu, R. & Wang, B. (2002) A contrast of the East Asia summer monsoon-ENSO relationship between 1962-1977 and 1978-1993 Journal of Climate, 15, pp. 3266 - 3279.
73. Xiao, L. Zhong, E. Liu, J. & Soung, G. (2001) A discussion on basic problems of 3D GIS Journal of Image and Graphics, 6, pp. 843 - 848.
74. Zerger, A. & Wealands, S. (2004) Beyond modelling: Linking models with GIS for flood risk management Natural Hazards, 33, pp. 191 - 208.
75. Zerger, A. Smith, D. I. Hunter, G. J. & Jones, S. D. (2002) Riding the storm: A comparison of uncertainty modeling techniques for storm surge risk management Applied Geography, 22, pp. 307 - 330.
76. Zhang, X. G. & Casey, T. M. (1992) Long-term variations in the Southern Oscillation and relationships with Australian rainfall Australian Meteorological Magazine, 40, pp. 211 - 225.
77. Zhou, H. Bin, H. Zhu, L. & Liang, G.(2004) Application of web GIS in emergency flood control system. In Proceedings of the International Conference of GIS and Remote Sensing in Hydrology, Water Resources, and Environment. (pp. 289). China: International Association of Hydrological Sciences (IAHS) Publication.