Document Type : Research Paper
Authors
1 Department of Civil Engineering, Faculty of Engineering, University of Mohaghegh Ardabili, Ardabil, Iran.
2 Department of Civil Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
Abstract
Zoning of flood hazards in a dam catchment plays an essential role in water resources planning and management. In the present study, nine lithogenic and anthropogenic parameters including slope, elevation, curve number, distance to river, rainfall, geology, soil texture, Normalized Difference Vegetation Index (NDVI) and land use are used to achieve a flood hazard map in downstream of Sabalan dam basin in Ardabil province, Iran. After categorizing the criteria, the layers were weighted by two multi-criteria decision making (MCDM) methods including analytic hierarchy process (AHP), and analytic network process (ANP). The results showed that among the factors affecting flood formation in the study basin by AHP method were the elevation and slope factors with the weights of 0.31 and 0.18 respectively, have the highest effect; however, curve number and distance to river factors with the weights of 0.04 and 0.02 have the lowest effect. Similarly, in the ANP method, the elevation and slope factors with the weights of 0.30 and 0.21 respectively, have the highest effect and the curve number and distance to river factors with the weights of 0.02 and 0.006 have the lowest impact on flood hazard potential in the study area. The results obtained in this study can be useful in achieving sustainable management of water resources.
Keywords
Arianpour M., and Jamali A.A., Flood hazard zonation using spatial multi-criteria evaluation (SMCE) in GIS (Case study: Omidieh-Khuzestan), European Online Journal of Natural and Social Sciences 4 (2015) 39-49.
Brivio P.A., Colombo R., Maggi M., Tomasoni R., Integration of remote sensing data and GIS for accurate mapping of flooded areas, International Journal of Remote Sensing 23 (2002) 429–441.
Dandapat K., and Panda G.K., Flood vulnerability analysis and risk assessment using analytical hierarchy process, Modeling Earth Systems and Environment 3 (2017) 1627–1646.
Dano U., Balogun A.L., Matori A.N., Wan Yusouf K., Abubakar I., Said Mohamed M.A., Aina Y.A., Pradhan B., Flood Susceptibility Mapping Using GIS-Based Analytic Network Process: A Case Study of Perlis, Malaysia, Water 11 (2019) 1-28.
De Brito M.M., Evers M., Santos Almoradie A.D., Participatory flood vulnerability assessment: a multi-criteria approach, Hydrology and Earth System Sciences 22 (2018) 373-390.
Gigović L., Pamučar D., Bajić Z., Drobnjak S., Application of GIS-interval rough AHP methodology for flood hazard mapping in urban areas, Water 9 (2017) 1-26.
Hassanzadeh Nafooti M., and Khajebafghi H., Flood hazard zoninig using multiple criteria decision analysis system (Case study: Sheytoor watershed in Bafgh), Journal of Watershed Management Research 7 (2017) 29-37 (In Persian).
Kazakis N., Kougias I., Patsialis T., Assessment of flood hazard areas at a regional scale using an index-based approach and analytical hierarchy process: application in Rhodope–Evros region, Greece, Science of the Total Environment 538 (2015) 555–563.
Kourgialas N.N., and Karatzas G.P., A national scale flood hazard mapping methodology: The case of Greece – Protection and adaptation policy approaches, Science of the Total Environment 601-602 (2017) 441–452.
Mind’je R., Li L., Amanambu A.C., Nahayo L., Nsengiyumva J.B., Gasirabo A., Mindje M., Flood susceptibility modeling and hazard perception in Rwanda, International Journal of Disaster Risk Reduction 38 (2019) 1-31.
Mokhtari Hashi H., and Rahimi D., Zoning of flood risk in human and economic activities centers of South Khorasan Province using the Fuzzy Logic System, Geography and Environmental Planning 27 (2016) 199-216.
Ntajal J., Lamptey B.L., Mahamadou I.B., and Nyarko B. K., Flood disaster risk mapping in the Lower Mono River Basin in Togo, West Africa, International Journal of Disaster Risk Reduction 23 (2017) 93–103.
Pirnazar M., Karimi A.Z., Feizizadeh B., Ostad Aliakbari K., Eslamian S., Hasheminasab H., Ghorbanzadeh, O., Haeri Hamedani M., Assessing flood hazard using GIS based multi-criteria decision making approach study area: East-Azerbaijan province (Kaleybar Chay basin), Journal of Food Engineering 8 (2017) 203-223.
Rahmati O., Zeinivand H., Besharat M., Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis, Geomatics, Natural Hazards and Risk 7 (2015) 1000–1017.
Razavi Termeh S.V., Kornejady A., Pourghasemi H.R., Keesstra S., Flood susceptibility mapping using novel ensembles of adaptive neuro fuzzy inference system and metaheuristic algorithms, Science of the Total Environment 615 (2018) 438–451.
Rouse J.W., Hass R.H., Schell J.A., Deering D.W., Monitoring vegetation systems in the Great Plains with ERTS, Third Earth Resources Technology Satellite-1 (ERTS-1) Symposium 1 (1974) 309-317.
Roy D.P., Kovalskyy V., Zhang H.K., Vermote E.F., Yan L., Kumar S.S., Egorov A., Characterization of Landsat-7 to Landsat-8 reflective wavelength and normalized difference vegetation index continuity, Remote Sensing of Environment 185 (2016) 57–70.
Saaty T.L., Optimization by the analytic hierarchy process, University of Pennsylvania; (1979).
Seejata K., Yodying A., Wongthadam T., Mahavik N., Tantanee S., Assessment of flood hazard areas using analytical hierarchy process over the Lower Yom Basin, Sukhothai Province, Procedia Engineering 212 (2018) 340–347.
Siddayao G.P., Valdez S.E., Fernandez P.L., Modeling flood risk for an urban CBD using AHP and GIS, International Journal of Information and Education Technology 5 (2015) 748–753.
Youssef A.M., and Hegab M.A. Flood-hazard assessment modeling using multicriteria analysis and GIS: A case study—Ras Gharib Area, Egypt, In: Spatial Modeling in GIS and R for Earth and Environmental Sciences, Elsevier; (2019), p. 229-257.