Urban Flood Hazard Zoning Using Multicriteria Decision Analysis (Emam Ali town, Mashhad city)
Subject Areas : Environmental Risk AnalysisMohammad Rostami Khalaj 1 , Dana Hesami 2 , Hossein salmani 3 , Teymor Tymoriyan 4
1 - Assistant Professor, Soil Conservation and Watershed Management Department, Agricultural and Natural Resources Research Center of Khorasan Razavi, AREEO, Mashhad, Iran *(Corresponding Authours).
2 - M.Sc. Student, University of Tehran.
3 - PhD Student, Faculty of Natural Resources, University of Gorgan, I.R. Iran.
4 - PhD Student, Faculty of Natural Resources, University of Tehran, I.R. Iran
Keywords: Hazard Potential Map, urban flood, Imam Ali town Mashhad city, multicriteria decision analysis,
Abstract :
Background and Objective: Inundation in urban areas due to dens storm has created many problems for all cities thorough the world. Urban flood hazard zoning may provide useful information for dealing with contingency and alleviating risk and loss of life and property.Therefore, in order to manage urban areas, take relief measures and prioritize areas to solve the problem of floods, the areas that are most affected should be identified. Method: Vulnerability of urban areas often includes multicriteria that are associated with flooding. One of the methods that are sufficiently accurate and available which can identify flood hazard zoning, is using multicriteria decision analysis (MCDA) that in this study was used to determine the potential of flood risk in urban area. Six variables include: distance to the main channel, slopes, land use, drainage density, slope of the main channel and elevation was used. After determining paired comparison matrix, layers weight was determined by using the knowledge of experts and experts in the region and finally the map of urban flood hazard were identified. Findings: Hazard Potential Map showed that 8.2% of the areas near to the outlet and located around the main channel are at highest hazard potential. Discussion and Conclusion: The results and field investigation showed multicriteria decision analysis is accurate and appropriate method for urban flood hazard zoning and using this method can identify areas with a greater flooding risk.
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- Farhudi, R.; Zanganeh Shahraki; S., Saed Moucheshi, R., 2009. The Situation of Spatial Distribution of Population in Iranian Urban (1956-2006). Human Geography Research, 42(68), pp 68-85.(In Persian)
- Radmehr, A., 2011. Optimal Management of Urban Surface Runoff Using Multi-Criteria Decision Making Method, MsC thesis, University of Tehran.
- Macleod, C.J., Scholefield, D. and Haygarth, P.M., 2007. Integration for sustainable catchment management. Science of the Total Environment, 373(2), pp.591-602.
- Büchele, B., Kreibich, H., Kron, A., Thieken, A., Ihringer, J., Oberle, P., Merz, B. and Nestmann, F., 2006. Flood-risk mapping: contributions towards an enhanced assessment of extreme events and associated risks. Natural Hazards and Earth System Sciences, 6(4), pp.485-503.
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- Chan, F.T.S., Chan, M.H. and Tang, N.K.H., 2000. Evaluation methodologies for technology selection. Journal of Materials Processing Technology, 107(1), pp.330-337.
- Asgharpoor, M. J., 2015. Multiple criteria decision making, University of Tehran press. 14th Edition. 400 p. (In Persian)
- Prakash, T.N., 2003. Land suitability analysis for agricultural crops: a fuzzy multicriteria decision making approach. MS Theses international institute for geo-information science and earth observation enschede, the netherland.
- Rashed, T. and Weeks, J., 2003. Assessing vulnerability to earthquake hazards through spatial multicriteria analysis of urban areas. International Journal of Geographical Information Science, 17(6), pp.547-576.
- Gamper, C.D., Thöni, M. and Weck-Hannemann, H., 2006. A conceptual approach to the use of Cost Benefit and Multi Criteria Analysis in natural hazard management. Natural Hazards and Earth System Science, 6(2), pp.293-302.
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- Mohammadi, J., Zangene, M., Abdoli, A., 2010. Assessing Life Quality Indices from the View points of Mashhad Citizens, Urban Management Studies, 2(3), 22 p. (In Persian)
- Adiat, K.A.N., Nawawi, M.N.M. and Abdullah, K., 2012. Assessing the accuracy of GIS-based elementary multi criteria decision analysis as a spatial prediction tool–A case of predicting potential zones of sustainable groundwater resources. Journal of Hydrology, 440, pp.75-89.
- Mahdavi, M., 2006. Applide hydrology. University of Tehran press. 4th Edition. 248 p. (In Persian)
- Thomas, S., 1980. The analytic hierarchy process: planning, priority setting, resource allocation. Pittsburgh PA: University of Pittsburgh.
- Kayastha, P., Dhital, M.R. and De Smedt, F., 2013. Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: a case study from the Tinau watershed, west Nepal. Computers & Geosciences, 52, pp.398-408.
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- Behniyafar, A., Ghanbarzadeh, H., Mansouri Daneshvar, M. R., 2009. Landslide Hazard and Slope Instabilities zoning with AHP and Probability Methods in Binaloud Zone (Case Study: Kang River Watershed, North Binaloud Slopes), Geographic Space, 9(27), 15 p. (In Persian)
- Zare, M., Ahmadi, H., Gholami, S., 2011. Landslide hazard assessment use of multi criteria decision making and geographic information system (GIS) (Case study: Vaz watershed), Natural ecosystem of Iran, 1(2), 12p. (In Persian)
- Ercanoglu, M. and Gokceoglu, C., 2004. Use of fuzzy relations to produce landslide susceptibility map of a landslide prone area (West Black Sea Region, Turkey). Engineering Geology, 75(3), pp.229-250.
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