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Modern Geomatics Technologies and Applications

          GIS, the layers were integrated, and a high-risk potential areas map was prepared. The general research methodology framework
          has demonstrated in Fig. 1.




































                                         Fig. 1. General research methodology framework

          2.1. Fuzzy AHP

          One of the most important and challenging decision-making stages is the weighting criteria, which can cause considerable
          uncertainty in the decision-making process. The AHP method was proposed by Saaty [12, 13] in 1980.  In this method, the
          pairwise comparison method is used to calculate the criteria weights; it has been used in many studies and is one of the most
          efficient weight determination methods. One of the weaknesses of this method is the lack of modeling uncertainty. Since the
          fuzzy method is one of the uncertain modeling methods, its integration with AHP can solve this problem. The Fuzzy AHP
          technique has been proposed in several ways. One of the most widely used is the method proposed by [14]. In this technique,
          fuzzy triangular numbers are used. This method's inputs are a fuzzy pairwise comparison matrix for evaluating criteria and n
          number of fuzzy pairwise comparison matrices for evaluating alternatives.

          3. Implementation

          In this study, to flood risk zoning in the Miandoab basin, effective criteria in flood risk zoning were determined by using literature
          review and expert opinions. In the next step, using the experts' knowledge and the fuzzy AHP method, the criteria weights were
          determined.  In  the  next  step,  the  decision  criteria  layers  were  prepared  using  satellite  images  and  other  maps  in  the  GIS
          environment. Finally, the flood risk zoning map was prepared using the Index Overlay method in the GIS environment. Each
          step is briefly described as follows.

          3.1. Study area

          Miandoab plain is located in the southern part of Urmia Lake in Western Azerbaijan, Iran. Fig. 2. shows the location of the study
          area. The plain's general topography is uniform and smooth, and only a few small hills are located in the center part. The plain's
          location is between 36° 50' to 37º 15' north latitude and 45º 50' to 46º 15' east longitude. Miandoab plain is one of the leading
          agricultural centers in the region and one of the main sub-basins of the Urmia Lake catchment area, which passes about half of
          the surface water flows into the lake.

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