Abstract
The conventional MCDA method helps in evaluating and ranking alternatives based upon criteria values associated with each of the alternatives, and upon the preferences of the various decision makers. However, analyses using conventional Multi-Criteria Decision Analysis (MCDA) techniques are often limited by the ability to capture the spatial variability of a region, which affects the decision-making information for floodplain management throughout the basin. The use of Geographic Information System (GIS) can give technical specialists and ultimate decision makers the possibility to represent in a spatially distributed fashion of the information needed in the decision making process. This study is focused on addressing questions pertaining to the methodology of floodplain analysis using GIS and spatial MCDA to evaluate flood damage reduction alternatives. These issues and the approaches used to address them have been outlined in the following points. This study presents a combined GIS with spatial MCDA. Thus, combining GIS and MCDA gives decision makers the capability with spatial analysis not to just use a single strategy for an entire geographical region but to determine if different strategies might have an advantage for the different spatial characteristics at different points in the floodplain. The issues will be examined in a case study of the Suyoung River Basin in Pusan, Korea.
Article PDF
Similar content being viewed by others
Avoid common mistakes on your manuscript.
References
Bedient, P. B. and Huber, W. C. (2002). Hydrology and floodplain analysis, Prentice Hall, Upper Saddle River, NJ.
District, S. C. V. W. (2002). “Coyote watershed stream stewardship plan — Executive summary.” Santa Clara Valley Water District, URL: http://cf.valleywater.org/_wmi/Related_report/index.cfm.
Fontane, D. G. (2003). Water resources systems analysis, Class Lecture Note for CE546, Colorado State University, Fort Collins, CO.
Goicoechea, A., Hansen, D. R., and Duckstein, L. (1982). Multiobjective decision analysis with engineering and business applications, Wiley, New York, N. Y.
Kenevissi, F. (2007). Multi-criteria decision making, Newcastle Engineering Design Centre, Newcastle University Newcastle, UK.
Malczewski, J. (1999). GIS and multi-criteria decision analysis, J. Wiley & Sons, New York, N. Y.
MOCT. (2001). The improvement method for economic of water control plan, Ministry of Construction & Transportation, Korea (in Korean).
Nirupama and Simonovic, S. S. (2002). A spatial fuzzy compromise approach for flood disaster management, The Institute of Catastrophic Loss Reduction, London, Ontario.
Queensland, T. S. O. (2002). Guidance on the assessment of tangible flood damages, The State of Queensland (Dept. of Natural Resources and Mines); QNRM02081, Australia.
Romero, C. and Rehman, T. (2003). Multiple criteria analysis for agricultural decisions, Elsevier, Amsterdam, Boston.
Simonovic, S. P. and Bender, M. J. (1996). “Collaborative planning-support system: an approach for determining evaluation criteria.” Journal of Hydrology, Vol. 177,Issues 3–4, pp. 237–251.
Simonovic, S. S. (2002). A spatial fuzzy compromise programming for management of natural disasters, The Institute for Catastrophic Loss Reduction (ICLR), Paper Series No. 24, University of Western Ontario, London, Ontario.
Tkach, R. J. and Simonovic, S. P. (1997). “A new approach to multi-criteria decision making in water resources.” Journal of Geographic Information and Decision Analysis, Vol. 1, No. 1, pp. 25–44.
Traore, Z. N. and Fontane, D. G. (2007). “Managing drought impacts: Case study of Mali, Africa.” Journal of Water Resources Planning and Management, Vol. 133, No 4, pp. 300–308.
Tsihrintzis, V. A., Hamind, R., and Fuentes, H. R. (1996). “Use of Geographic Information System (GIS) in water resources: A review.” Water Resources Management, Vol. 10, pp. 251–277.
Yalcin, G. and Akyurek, Z. (2004). “Analysing flood vulnerable areas with multicriteria evaluation.” In: Geo-Imagery Bridging Continents, XXth ISPRS Congress, 12–23 July pp. 359–364.
Zeleny, M. (1973). “Compromise programming.” Multiple Criteria Decision Making, University of South Carolina Press, Columbia, pp. 262–301.
Zeleny, M. (1974). Linear multiobjective programming, Springer-Verlag, Berlin, New York, N. Y.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Lim, KS., Lee, DR. The spatial MCDA approach for evaluating flood damage reduction alternatives. KSCE J Civ Eng 13, 359–369 (2009). https://doi.org/10.1007/s12205-009-0359-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12205-009-0359-2