Abstract
Floods, the most common natural hazard in the world, cause serious loss in terms of lives, buildings, and infrastructures. As a consequence, the need for flood risk assessment has become critical. Using a semi-quantitative model and fuzzy analytic hierarchy process (FAHP) weighting approach, this paper assessed flood risk in the Dongting Lake region, Hunan Province, Central China, an area where flood hazards frequently occur. The model was designed using spatial multi-criteria analysis (SMCA) techniques in a Geographic Information System (GIS). A GIS database of indicators for the evaluation of hazard and vulnerability was created. Each indicator was analyzed, standardized, and weighted; after which, the weights of the indicators were combined to obtain the final flood risk index map. Using the flood risk index, the study area was classified into five categories of flood risk: very low, low, medium, high, and very high. The high and very high risk zones are mainly concentrated in the northern and central plains. The results obtained can provide useful information for decision makers and insurance companies.
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References
Anselmo V, Galeati G, Palmieri S, Rossi U, Todini E (1996) Flood risk assessment using an integrated hydrological and hydraulic modeling approach: a case study. J Hydrol 175:533–554
Ayalew L, Yamagishi H (2005) The application of GIS-based logistic regression for landslide susceptibility mapping in Kakuda-Yahiko mountains, Central Japan. Geomorphology 65:15–31
Belton V, Stewart TJ (2002) Multiple criteria decision analysis—an integrated approach. Kluwer, Boston
Brans JP, Vincke PH, Marshal B (1986) How to select and how to rank projects: the PROMETHEE method. Eur J Oper Res 24:228–238
Chang DY (1996) Applications of the extent analysis method on fuzzy AHP. Eur J Oper Res 95:649–655
Cheng XT, Yang L, Chen XJ (1996) Numerical model of flood propagation in detention basin. J Nat Disasters 5(1):34–40, in Chinese
Correia FN, Rego FC, Saraiva MG, Ramos I (1998) Coupling GIS with hydrologic and hydraulic flood modelling. Water Resour Manag 12:229–249
Crichton D, Mounsey C (1997) How the insurance industry will use its flood research. In: Proceeding of the Third MAFF Conference of Coastal and River Engineers 131–134
Deng H (1999) Multicriteria analysis with fuzzy pair-wise comparison. Int J Approx Reason 21:215–231
Dewan AM, Islam MM, Kumamoto T, Nishigaki M (2007) Evaluating flood hazard for land-use planning in Greater Dhaka of Bangladesh using remote sensing and GIS techniques. Water Resour Manag 21:1601–1612
Du J, He F, Shi PJ (2006) Integrated flood risk assessment of Xiangjiang River Basin in China. J Nat Disasters 15(6):38–44, in Chinese
EM-DAT (2006) Disaster profile for floods. EM-DAT: international disaster database. http://www.em-dat.net/disaster/profiles.php. Accessed 26 Oct 2006
Ertugrul I, Tus A (2007) Interactive fuzzy linear programming and an application sample at a textile firm. Fuzzy Optim Decis Making 6:29–49
Furdada G, Calderon LE, Marques MA (2008) Flood hazard map of La Trinidad (NW Nicaragua). Method and results. Nat Hazards 45:183–195
Guha-Sapir D, Hargitt D, Hoyois P (2004) Thirty years of natural disster 1974–2003: the numbers. Presses universitaires de Louvain, Belgium
Hajkowicz S, Collins K (2007) A review of multiple criteria analysis for water resource planning and management. Water Resour Manag 21:1553–1566
He BY, Zhang HL, Zhang S, Ding GP (2002) GIS-based risk evaluation for flood disaster in Hubei province. J Nat Disasters 11(4):84–89, in Chinese
He BY, Zhang H, Du Y, Zhongshan YZ, Li B (2004) Flood risk assessment of Hubei province. J Yangtze River Sci Res Inst 21(3):21–25, in Chinese
Huang MS, Huang CC (2007) Research on grade model of flood risk assessment. J Catastrophology 22(1):1–5, in Chinese
Hunan Province Statistical Bureau (2004) Hunan province statistical yearbook 2004. China Statistics, Beijing, in Chinese
Hydraulic Committee of the Changjiang River (1999) Atlas of the Changjing River Basin. China Map, Beijing, in Chinese
Janssen R (2001) On the use of multi-criteria analysis in environment impact assessment in the Netherlands. J Multi-Crit Decis Anal 10:101–109
Kahraman C, Cebeci U, Ulukan Z (2003) Multi-criteria supplier selection using fuzzy AHP. Logist Inf Manag 16(6):382–394
Keeney RL, Raiffa H (1993) Decisions with multiple objectives—preferences and value tradeoffs. Cambridge University Press, Cambridge
Linstone HA, Turoff M (1975) The Delphe method: techniques and applications. Addison Wesley Publishing, Boston
Malczewski J (2006) GIS-based multicriteria decision analysis: a survey of the literature. Int J Geogr Inf Sci 20(7):703–726
Mao DH (2001) Comprehensive assessment and analysis on the risk degree of flood-waterlogging in Dongting Lake region. J Nat Disasters 10(4):104–107, in Chinese
Maskrey A (1989) Disaster mitigation: a community based approach. Oxford, London
Meyer V, Scheuer S, Haase D (2008) A multicriteria approach for flood risk mapping exemplified at the Mulde river, Germany. Natural Hazards. doi:10.1007/s11069-008-9244-4
Munda G (1995) Multicriteria evaluation in a fuzzy environment—theory and application in ecological economics. Physica-Verlag, Heidelberg
Saaty TL (1980) The analytic hierarchy process. McGraw-Hill, New York
Saaty TL (1983) Axiomatic foundations of the analytic hierarchy process. Manag Sci 32:841–855
Saaty TL, Vargas GL (2001) Models, methods, concepts and applications of the analytic hierarchy process. Kluwer, Boston
Sanyal J, Lu XX (2004) Application of remote sensing in flood management with special reference to monsoon Asia: a review. Natural Hazards 33:283–301
Shi PJ (1996) Theory and practice of disaster study. J Nat Disasters 5(4):6–17, in Chinese
Shi PJ (2003) Natural hazard atlas of China. Science, Beijing, in Chinese
Silverman BW (1986) Density estimation for statistics and data analysis. Chapman and Hall, London
Simonovic SP, Nirupama N (2005) A spatial multi-objective decision-making under uncertainty for water resources management. J Hydrol 7(2):117–133
Soerensen PB, Glydenkaerne S, Lerche D et al (2004) Probability approach applied for prioritization using multiple criteria. In: Soerensen (ed) Order theory in environment science. NERI Report 479
Su BD, Jiang T, Guo YY et al (2005) GIS raster data-based dynamic flood risk simulation model and its application. J Hehai Univ (Nat Sci) 33(4):370–374, in Chinese
Tang C, Zhu J (2005) A GIS based regional torrent risk zonation. Acta Geograph Sin 60(1):87–94, in Chinese
Thinh NX, Vogel R (2006) GIS-based multiple criteria analysis for land-use suitability assessment in the content of flood risk management. InterCarto-InterGIS 12, Berlin
Tkach RJ, Simonovic SP (1997) A new approach to multi-criteria decision making in water resources. Int J Geogr Inf Sci 1(1):25–43
Toraichi K, Yang K, Kamada M, Mori R (1988) Two-dimensional spline interpolation for image reconstruction. Pattern Recogn 21(3):275–284
United National Development Program (2004a) Human development report 2004. United Nations, New York
United National Development Program (2004b) Reducing disaster risk: a challenge for development. United Nations, New York
Vaidya OS, Kumar S (2006) Analytic hierarchy process: an overview of applications. Eur J Oper Res 169:1–29
Van Herwijnen M (1999) Spatial decision support for environmental management. PhD thesis, Vrije Universiteit
Voogd H (1983) Multicriteria evaluation for urban and regional planning. Pion, London
Wan Q et al (1999) Analysis and evaluation for flood disaster system. Science, Beijing, in Chinese
Wang ZH, Wang KL, Xiong Y, Xu LF, Yang XL (2003) Assessment of the vulnerability of flood-waterlogging disaster and countermeasures of disaster reduction in Hunan province. Resour Environ Yangtze Basin 12(6):586–592, in Chinese
Werner M (2004) Spatial flood extent modelling: a performance-based comparison. Delft University Press, Delft. http://www.wldelft.nl/rnd/publ/docs/We_2004a.pdf
Whalen TM, Savage GT, Jeong GD (2002) The method of self-determined probability weighted moments revisited. J Hydrol 268:177–191
Xiang WS, Li WH (2001) Spatial-temporal distribution of food and water-logging disaster in Dongting Lake area and control strategies. Chin J Ecol 20(2):48–51, in Chinese
Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–353
Zhan XG, Zhu GR, Wen YY (2003) Risk evaluation for flood disasters in the plain area based on GIS. Resour Environ Yangtze Basin 12(4):388–392, in Chinese
Zhang JY, Xu XM (2002) Test on L-moment estimation method for GEV and P-III Distribution in regional flood frequency analysis. Hydrology 22(6):36–38, in Chinese
Zhang C, Wan Q, Zhang JQ et al. (2003) The method of flood disaster risk evaluation based upon data of grid square. Geo-information Science (4): 69–73 (in Chinese)
Zhang H, Zhang JQ, Han JS (2005) GIS-based assessment and zoning of flood/waterlogging disaster risk: a case study on middle and lower reaches of Liaohe River. J Nat Disasters 14(6):141–146, in Chinese
Zhou CH, Wan Q, Huang SF (2000) A GIS-based approach to flood risk zonation. Acta Geograph Sin 55(1):15–24, in Chinese
Zhu YC (2005) A century of floods. Chapter 13 (in Chinese). http://www.nsbd.com.cn/NewsDisplay.asp?Id=123109. Accessed 26 July 2007
Zimmermann HJ, Gutsche L (1991) Multi-criteria analyse—Einführung in die Theorie der Entscheidungen bei Mehrfachzielsetzungen. Springer, Berlin
Acknowledgments
The study was funded by the National Natural Science Foundation of China (40971170, 51039001), the Program for New Century Excellent Talents in University (NCET-09-330), and the National 863 High Technologies Research of China (Grant No.2007AA10Z222).
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Wang, Y., Li, Z., Tang, Z. et al. A GIS-Based Spatial Multi-Criteria Approach for Flood Risk Assessment in the Dongting Lake Region, Hunan, Central China. Water Resour Manage 25, 3465–3484 (2011). https://doi.org/10.1007/s11269-011-9866-2
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DOI: https://doi.org/10.1007/s11269-011-9866-2