Preparing the Risk Map of Flood Occurrence in the Ghomnab Chai Basin Using ANP Model and GIS Technique | ||
| مجله اکوهیدرولوژی | ||
| Article 17, Volume 7, Issue 2, July 2020, Pages 497-509 PDF (1.5 M) | ||
| Document Type: Research Article | ||
| DOI: 10.22059/ije.2020.298759.1298 | ||
| Authors | ||
| Davod Mokhtari* 1; Mohammad Hossein Rezaei Moghaddam1; Tohid Rahimpour2; Somayyeh Moazzez2 | ||
| 1Professor of Geomorphology, Department of Geomorphology, Faculty of Planning and Environmental Sciences, University of Tabriz, Iran | ||
| 2PhD Student in Geomorphology, Department of Geomorphology, Faculty of Planning and Environmental Sciences, University of Tabriz, Iran | ||
| Abstract | ||
| The mountainous areas of northwest of the country are susceptible to flood risk due to their topography and relatively good rainfall throughout the year, especially in spring. The aim of this study was to prepare a map of the risk of flooding in the Gomanab Chai catchment, which is located in the East Azerbaijan province. 10 effective factors in the occurrence of this phenomenon, such as Precipitation, Lithology, Land use, Slope, Vegetation density, Stream Power Index, Topographic wetness index, Drainage density, Sediment Transport Index, Gravelius coefficient were used to prepare the zoning map. Network Analysis Method (ANP) and Super Decisions software were used to weighting the criteria in this study. The final results obtained from the present study showed that the weight of the 10 criteria were 0.271, 0.201, 0.150, 0.118, 0.081, 0.056, 0.043, 0.032, 0.025 and 0.018 respectively. Precipitation, lithology, land use and slope had the highest weights, respectively. Finally, by combining these layers according to their weight in GIS, the zoning map was obtained. The results showed that 210 km2 (50%) of the area is at risk of flooding. Therefore, the necessity of managing surface water in the area seems necessary in order to prevent flooding as well as proper exploitation of the waters of the area. | ||
| Keywords | ||
| Flood; ANP model; Super Decisions; Ghomnab Chai Basin | ||
| References | ||
|
[1]. Kusky T. Floods: Hazards of Surface and Groundwater Systems. Facts on File publishing. 2008; New York. [2]. Management and Planning Organization. Office of Technical Affairs and Standards Development, River Flood Control Guide (Structural Methods), 2001; 242. [Persian]. [3]. Abdi P. analysis the flooding potential in Zanjan roud with SCS method and Geographical information system. Watering and Drainage National committee. Technical workshop coexists with floods. 2005; [Persian]. [4]. Razavi A. Principle of Water Resources Privacy. First Edition. University of Water and Power Industry Publications. Tehran. 2007. [Persian]. [5]. Fenicia F, Kavetski D, Savenije H.H, Clark M.P, Schoups G, Pfister L, Freer J. Catchment properties, function, and conceptual model representation: is, there a correspondence Hydrol. Process.2013: http://dx.doi.org/10.1002/hyp.9726.79-85. [6]. Amir Ahmadi A, Jahanfar A, Parsiani K. ANP model capability in flood risk zoning (Case Study, Islam Abad Gharb), 5th Iranian Conference on Water Resources Management. Tehran. 2013; pp 1-8. [Persian]. [7]. Kheirizadeh M, Maleki J, Amonia H. Flood hazard potential zoning in Marduk Chai catchment using ANP model. Quantitative Geomorphology Research. 2013; NO3: pp 39-56. [Persian]. [8]. Abedini M, Fathi M. Flood Risk Mapping and Evaluation by using the Analytic Network Process Case Study: Khiav Chai Catchment. Hydrogeomorphology. 2015; Volume 1, Issue 3, Page 81-97. [Persian]. [9]. Abedini M, Beheshti Javid E. Flood Hazard Mapping of Lighvan Chai Watershed Using Network Analysis Process Model (ANP) and GIS. Geographic Space, Islamic Azad University of Ahar Branch. 2016; NO55: PP 293-312, [Persian]. [10]. Darabi H, Choubin B, Rahmati O, Torabi Haghighi A, Pradhan B, Kløve B. Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques, Journal of Hydrology. 2018; Volume 569, pp 142-154. doi: https://doi.org/10.1016/j.jhydrol.2018.12.002 [11]. Kanani-Sadat Y, Arabsheibani R, Karimipour F, Nasseri M. A New Approach to Flood Susceptibility Assessment in Data-Scarce and Ungauged Regions Based on GIS-based Hybrid Multi CriteriaDecision-Making Method, Journal of Hydrology 2019; Volume 572, pp 17-31. doi: https://doi.org/10.1016/j.jhydrol.2019.02.034 [12]. Dano U.L, Balogun A. L, Matori A.N, Wan Yusouf K, Abubakar I.R, 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. 2019; 11, 615. pp 1-28. Doi: 10.3390/w11030615 [13]. Feizizadeh B, Blaschke T. Land suitability analysis for Tabriz County, Iran: a multi-criteria evaluation approach using GIS, Journal of Environmental Planning and Management. 2013; Vol. 56, No. 1. pp 1-23. http://dx.doi.org/10.1080/09640568.2011.646964 [14]. Saaty T L.The Analytic Hierarchy Process. New York. McGraw Hill; 1980; 287 pp. [15]. Saaty T.L, Vargas L.G. Decision Making with the Analytic Network Process, New York. Springer Science; 2006; 363 pp. [16]. Zabardast A. Application of Network Analysis Process in Urban and Regional Planning. Journal of Fine Arts Architecture and Urban Development. 2009; NO41. PP 79-90. [Persian]. [17]. Neaupane K M, Piantanakulchai M. Analytic Network Process model for landslide hazard zonation. Engineering Geology.2006; 85: PP. 281–294. [18]. Lami I.M, Abastante F. Decision making for urban solid waste treatment in the context of territorial conflict: Can the Analytic Network Process help?. Land Use Policy, 2014, 41, pp. 11-20. [19]. Najmaei M. Engineering Hydrology. Volume [20]. Zahedi M, Bayati Khatibi M. Hydrology. First Edition. Tehran: Samt Publications; 2007, [Persian]. [21]. Garde R. J. River Morphology. New Delhi: Published by New Age International (P) Ltd; 2006. [22]. Moore I.D, Burch G.J. Sediment transport capacity of sheet and rill flow: application of unit stream power theory. Water Resource.1986; 22: pp 1350-1360. [23]. Nefeslioglu H A, Duman TY, Duemaz S. Landslide susceptibility mapping for a part of tectonic Kelkit Valley (Eastern Black Sea region of Turkey), Geomorphology. 2008; 94: pp 401–418. [24]. Hong H, Tsangaratos P, Ilia I, Liu J, Zhu A, Chen W. Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China, Science of the Total Environment. 2018; 625, pp 575–588. https://doi.org/10.1016/j.scitotenv.2017.12.256. [25]. Schmidt F, Persson, A. Comparison of DEM data capture and topographic wetness indices. Precision Agriculture. 2003; 4: pp. 179–192. [26]. Sorensen R, Zinko U, Seibert J. On the calculation of the topographic wetness index: evaluation of different methods based on field observations. Hydrology and Earth System Sciences Discussions. 2006; 2: pp. 1807–1834. | ||
|
Statistics Article View: 599 PDF Download: 491 |
||