Advertisement

Water Resources Management

, Volume 25, Issue 13, pp 3465–3484 | Cite as

A GIS-Based Spatial Multi-Criteria Approach for Flood Risk Assessment in the Dongting Lake Region, Hunan, Central China

  • Yamei Wang
  • Zhongwu Li
  • Zhenghong Tang
  • Guangming Zeng
Article

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.

Keywords

Floods Risk assessment Multi-criteria analysis Indicators GIS China 

Notes

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).

References

  1. 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 175:533–554CrossRefGoogle Scholar
  2. Ayalew L, Yamagishi H (2005) The application of GIS-based logistic regression for landslide susceptibility mapping in Kakuda-Yahiko mountains, Central Japan. Geomorphology 65:15–31CrossRefGoogle Scholar
  3. Belton V, Stewart TJ (2002) Multiple criteria decision analysis—an integrated approach. Kluwer, BostonGoogle Scholar
  4. Brans JP, Vincke PH, Marshal B (1986) How to select and how to rank projects: the PROMETHEE method. Eur J Oper Res 24:228–238CrossRefGoogle Scholar
  5. Chang DY (1996) Applications of the extent analysis method on fuzzy AHP. Eur J Oper Res 95:649–655CrossRefGoogle Scholar
  6. Cheng XT, Yang L, Chen XJ (1996) Numerical model of flood propagation in detention basin. J Nat Disasters 5(1):34–40, in ChineseGoogle Scholar
  7. Correia FN, Rego FC, Saraiva MG, Ramos I (1998) Coupling GIS with hydrologic and hydraulic flood modelling. Water Resour Manag 12:229–249CrossRefGoogle Scholar
  8. 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 131–134Google Scholar
  9. Deng H (1999) Multicriteria analysis with fuzzy pair-wise comparison. Int J Approx Reason 21:215–231CrossRefGoogle Scholar
  10. 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 21:1601–1612CrossRefGoogle Scholar
  11. 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 ChineseGoogle Scholar
  12. EM-DAT (2006) Disaster profile for floods. EM-DAT: international disaster database. http://www.em-dat.net/disaster/profiles.php. Accessed 26 Oct 2006
  13. Ertugrul I, Tus A (2007) Interactive fuzzy linear programming and an application sample at a textile firm. Fuzzy Optim Decis Making 6:29–49CrossRefGoogle Scholar
  14. Furdada G, Calderon LE, Marques MA (2008) Flood hazard map of La Trinidad (NW Nicaragua). Method and results. Nat Hazards 45:183–195CrossRefGoogle Scholar
  15. Guha-Sapir D, Hargitt D, Hoyois P (2004) Thirty years of natural disster 1974–2003: the numbers. Presses universitaires de Louvain, BelgiumGoogle Scholar
  16. Hajkowicz S, Collins K (2007) A review of multiple criteria analysis for water resource planning and management. Water Resour Manag 21:1553–1566CrossRefGoogle Scholar
  17. 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 ChineseGoogle Scholar
  18. 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 ChineseGoogle Scholar
  19. Huang MS, Huang CC (2007) Research on grade model of flood risk assessment. J Catastrophology 22(1):1–5, in ChineseGoogle Scholar
  20. Hunan Province Statistical Bureau (2004) Hunan province statistical yearbook 2004. China Statistics, Beijing, in ChineseGoogle Scholar
  21. Hydraulic Committee of the Changjiang River (1999) Atlas of the Changjing River Basin. China Map, Beijing, in ChineseGoogle Scholar
  22. Janssen R (2001) On the use of multi-criteria analysis in environment impact assessment in the Netherlands. J Multi-Crit Decis Anal 10:101–109CrossRefGoogle Scholar
  23. Kahraman C, Cebeci U, Ulukan Z (2003) Multi-criteria supplier selection using fuzzy AHP. Logist Inf Manag 16(6):382–394CrossRefGoogle Scholar
  24. Keeney RL, Raiffa H (1993) Decisions with multiple objectives—preferences and value tradeoffs. Cambridge University Press, CambridgeGoogle Scholar
  25. Linstone HA, Turoff M (1975) The Delphe method: techniques and applications. Addison Wesley Publishing, BostonGoogle Scholar
  26. Malczewski J (2006) GIS-based multicriteria decision analysis: a survey of the literature. Int J Geogr Inf Sci 20(7):703–726CrossRefGoogle Scholar
  27. 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 ChineseGoogle Scholar
  28. Maskrey A (1989) Disaster mitigation: a community based approach. Oxford, LondonGoogle Scholar
  29. 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
  30. Munda G (1995) Multicriteria evaluation in a fuzzy environment—theory and application in ecological economics. Physica-Verlag, HeidelbergGoogle Scholar
  31. Saaty TL (1980) The analytic hierarchy process. McGraw-Hill, New YorkGoogle Scholar
  32. Saaty TL (1983) Axiomatic foundations of the analytic hierarchy process. Manag Sci 32:841–855CrossRefGoogle Scholar
  33. Saaty TL, Vargas GL (2001) Models, methods, concepts and applications of the analytic hierarchy process. Kluwer, BostonCrossRefGoogle Scholar
  34. Sanyal J, Lu XX (2004) Application of remote sensing in flood management with special reference to monsoon Asia: a review. Natural Hazards 33:283–301CrossRefGoogle Scholar
  35. Shi PJ (1996) Theory and practice of disaster study. J Nat Disasters 5(4):6–17, in ChineseGoogle Scholar
  36. Shi PJ (2003) Natural hazard atlas of China. Science, Beijing, in ChineseGoogle Scholar
  37. Silverman BW (1986) Density estimation for statistics and data analysis. Chapman and Hall, LondonGoogle Scholar
  38. Simonovic SP, Nirupama N (2005) A spatial multi-objective decision-making under uncertainty for water resources management. J Hydrol 7(2):117–133Google Scholar
  39. 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 479Google Scholar
  40. 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 ChineseGoogle Scholar
  41. Tang C, Zhu J (2005) A GIS based regional torrent risk zonation. Acta Geograph Sin 60(1):87–94, in ChineseGoogle Scholar
  42. 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, BerlinGoogle Scholar
  43. Tkach RJ, Simonovic SP (1997) A new approach to multi-criteria decision making in water resources. Int J Geogr Inf Sci 1(1):25–43Google Scholar
  44. Toraichi K, Yang K, Kamada M, Mori R (1988) Two-dimensional spline interpolation for image reconstruction. Pattern Recogn 21(3):275–284CrossRefGoogle Scholar
  45. United National Development Program (2004a) Human development report 2004. United Nations, New YorkGoogle Scholar
  46. United National Development Program (2004b) Reducing disaster risk: a challenge for development. United Nations, New YorkGoogle Scholar
  47. Vaidya OS, Kumar S (2006) Analytic hierarchy process: an overview of applications. Eur J Oper Res 169:1–29CrossRefGoogle Scholar
  48. Van Herwijnen M (1999) Spatial decision support for environmental management. PhD thesis, Vrije UniversiteitGoogle Scholar
  49. Voogd H (1983) Multicriteria evaluation for urban and regional planning. Pion, LondonGoogle Scholar
  50. Wan Q et al (1999) Analysis and evaluation for flood disaster system. Science, Beijing, in ChineseGoogle Scholar
  51. 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 ChineseGoogle Scholar
  52. 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
  53. Whalen TM, Savage GT, Jeong GD (2002) The method of self-determined probability weighted moments revisited. J Hydrol 268:177–191CrossRefGoogle Scholar
  54. 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 ChineseGoogle Scholar
  55. Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–353CrossRefGoogle Scholar
  56. 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 ChineseGoogle Scholar
  57. 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 ChineseGoogle Scholar
  58. 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)Google Scholar
  59. 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 ChineseGoogle Scholar
  60. Zhou CH, Wan Q, Huang SF (2000) A GIS-based approach to flood risk zonation. Acta Geograph Sin 55(1):15–24, in ChineseGoogle Scholar
  61. Zhu YC (2005) A century of floods. Chapter 13 (in Chinese). http://www.nsbd.com.cn/NewsDisplay.asp?Id=123109. Accessed 26 July 2007
  62. Zimmermann HJ, Gutsche L (1991) Multi-criteria analyse—Einführung in die Theorie der Entscheidungen bei Mehrfachzielsetzungen. Springer, BerlinGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • Yamei Wang
    • 1
    • 2
  • Zhongwu Li
    • 1
    • 2
  • Zhenghong Tang
    • 3
  • Guangming Zeng
    • 1
    • 2
  1. 1.College of Environmental Science and EngineeringHunan UniversityChangshaPeople’s Republic of China
  2. 2.Ministry of EducationKey Laboratory of Environmental Biology and Pollution Control (Hunan University)ChangshaPeople’s Republic of China
  3. 3.Community and Regional Planning Program, 313 Architecture Hall, College of ArchitectureUniversity of Nebraska—LincolnLincolnUSA

Personalised recommendations