Flood hazard risk evaluation using fuzzy logic and weightage- based combination methods in geographic information system

Document Type : Article

Authors

Department of Civil Engineering, Sakarya University, 54187 Sakarya, Turkey

Abstract

This study addresses the crucial variables contributing highly to the risk of flooding based on the flood characteristics of the Waverly region and develop a fuzzy logic and geographic information based urban flood map with flood zones in Waverly City, Iowa. The methodology emphasizes on weighting crucial variables using spatial analyst tools and fuzzy logic based GIS mapping. Local elevation, distance from Cedar River, land use and population density in Waverly city are recognized as effective variables to risk of flooding in Waverly city. Twenty three calibration tests for determination of weightages of these variables on the risk of flood were performed and compared to previously produced Waverly flood risk maps. Finally, weightages of these variables were assigned as 70 % for elevation, 20 % for distance from Cedar River, 5 % for Manning’s coefficient, and 5 % for population density. In a fuzzy environment they were assigned different fuzzy membership functions, for elevation, fuzzification technique Small was used, for distance, fuzzification technique MS Small was used, for Manning’s coefficient and population density, fuzzification technique Large was used. The flood hazard maps created were overlaid with 100 and 500-year flood maps of Waverly city for calibration and risk evaluation.

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Main Subjects

References

References:
1. Alderman, K., Turner, L.R., and Tong, S. "Floods and human health", A Systematic Review. Environ. Int., 47, pp. 37-47 (2012).
2. Al-Hanbali, A., Alsaaideh, B., and Kondoh, A. "Using GIS-based weighted linear combination analysis and remote sensing techniques to select optimum solid waste disposal sites within Mafraq City", Jordan. J. Geogr. Inform. Syst., 3(4), pp. 267-278 (2011).
3. Phong, T., Rajib, S., Guillaume, C., and Norton, J. "GIS and local knowledge in disaster management: a case study of  flood risk mapping in Viet Nam", Disasters, 33(1), pp. 152-169 (2009).
4. Chang, H. and Franczyk, J. "Climate change, land-use change and  floods: Toward an integrated assessment", Geogr. Compass, 5(2), pp. 1549-1579 (2008).
5. Aydi, A., Zairi, M., and Dhia, B.H. "Minimization of environmental risk of landfill site using fuzzy logic, analytical hierarchy process and weighted linear combination methodology in a geographic information system environment", Environ. Earth Sci., 68(5), pp. 1375-1389 (2012).
6. Camarasa B.A.M., Lopez-Garcia, M.J., and Soriano- Garcia, J. "Mapping temporally-variable exposure to flooding in small Mediterranean basins using land-use indicators", Appl. Geogr., 31(1), pp. 136-145 (2011).
7. Malczewski, J., GIS and Multicriteria Decision Analysis, John Wiley and Son, Toronto (1999).
8. Mirzapour Al-E-Hashem, S.M.J., Malekly, H., and Aryanezhad, M.B. "A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty",Int. J. Prod. Econ., 134(1), pp. 28-42 (2011).
9. Mohd, M.S., Alias, B., and Daud, D. "GIS analysis for flood hazard mapping: Case study; Segamat, Johor, West Malaysia", Proceeding of National Seminar on Geographic Information System Application for Mitigation in Natural Disaster, pp. 1-15 (2006).
10. Itami, R. and Cotter, M. "Application of analytical hierarchy process to rank issues, projects and sites in integrated catchment management", In Proc. the 2nd International Conference on Multiple Objective Decision Support Systems for Land, Water and Environmental Management, Queensland Department of Natural Resources and Mines, Brisbane, Australia
(2012).
11. Tao, Z.H. and Jingdong, W. "Application of analytic hierarchy process in debris  flow risk degree assessment - a case study of Miyun County, Beijing City", Bulletin of Soil and Water Conservation, 28(5), pp. 6-10 (2008).
12. Lawal, D., Matori, A., Hashim, A., Yusof, K., and Chandio, I. "Detecting  flood susceptible areas using GIS-based analytic hierarchy process", In Proc. International Conference on Future Environment and Energy, 28, pp. 3-4 (2015).
13. Federal Emergency Management Agency, 2015/http:// www.fema.gov/ flood-zone.
14. Chaochao, L. and Xiaotao, C. "A frame work for flood risk analysis and benefit assessment of flood control measures in urban areas", Int. J. of River Basin Management, 13, pp. 13-15 (2016).
15. Brito, M. and Evers, M. "Multi-criteria decisionmaking for  flood risk management: a survey of the current state of the art", Supplement of Natural Hazard Earth System, 16, pp. 1029-1033 (2016).
16. Das, E. "An aggregate fuzzy risk analysis for flood incident management", Int. J. of System Assurance Engineering and Management, 24, pp. 87-93 (2011).
17. Kourgialas, K. "Flood management and a GIS modeling method to assess  flood-hazard areas", Hydrological Sciences Journal, 11, pp. 123-132 (2016).
18. Li E. "Impact assessment of urbanization on flood risk in the Yangtze River Delta", Stochastic Environmental Research and Risk Assessment, 27, pp. 25-37 (2016).
19. Sonmez, O. "2D Flood Modelling and Flood map production in Rivers", Sakarya University, Institute of Applied Sciences, Sakarya., pp. 60-80, Sakarya, Turkey (2013).
Scientia Iranica
Volume 27, Issue 2
Transactions on Civil Engineering (A)
March and April 2020
Pages 517-528

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History

  • Receive Date: 03 January 2016
  • Revise Date: 03 July 2017
  • Accept Date: 22 September 2018

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