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        1 - Identifying Homogeneous Regions of Spatial Planning In Tehran Metropolitan Area using k-mean clustering
        کرامت ا.. زیاری رامین قربانی ابراهیم فرهادی بهنام الماسی
        Spatial planning is the distribution and organization of activities in the area. In origin the space program, planning the physical structure and activity planning level. the first step in macro-level planning process to determine areas is planned as homogeneous units. More
        Spatial planning is the distribution and organization of activities in the area. In origin the space program, planning the physical structure and activity planning level. the first step in macro-level planning process to determine areas is planned as homogeneous units. the aim of this study was to determine homogeneous areas planned in Tehran with an emphasis on urban and rural planning system is in this metropolitan area. type of study is applied and the method is descriptive - analytical. in this paper to determine thehomogeneity regions of the 3 basic criteria: the built environment, socio-economic environment and the natural environment with the total of 22 indices (items) are used. planning for the homogeneous regions of k-mean clustering method is used. Clustering techniques include the use of multivariate data among groups or clusters of that, of course, on the basis of homogeneity among the objects are the same as those in the group are very similar. to perform clustering, layers (index) after processing, switching and computing environments Arc Gis software and Matlab, for 4 base area and homogeneous planning in the form of maps showing the boundaries of each of the zones identified and strategies were presented to each . Manuscript profile
      • Open Access Article

        2 - Determination of Homogeneous Hydrological Regions for Estimating Runoff in Ungauged Catchments Using Cluster Analysis (Case Study: Ardabil Province)
        Batoul Poorseifollahi Amin Kanooni Mohammadreza Nikpour javad ramezani moghadam
        Grouping of catchments based on their climatic factors and physiographic characteristics is a prerequisite for regional analysis of runoff and its use for estimating discharge of catchments without discharge measurement station. In this study, catchments located in Arda More
        Grouping of catchments based on their climatic factors and physiographic characteristics is a prerequisite for regional analysis of runoff and its use for estimating discharge of catchments without discharge measurement station. In this study, catchments located in Ardabil province were separated into homogeneous hydrological zones using discharge, mean annual precipitation and physiographic characteristics of catchments and hierarchical clustering method. Due to the large number of parameters, by using principal component analysis, the first four components with 83.6% of total variance were selected as inputs for cluster analysis. Then, the optimal number of clusters was determined by using hierarchical method and drawing the tree diagram, and finally the final clustering was done by K-means method. Subsequently, the sub-catchments that followed a hydrological process were identified using the Dalrymple uniformity test. The results of the uniformity test showed that by excluding stations outside the confidence limits of each cluster, catchments that were similar in terms of annual discharge and other physiographic and meteorological parameters were clustered. Therefore, the number of sub catchments located in clusters 1, 2, 3 and 4 were 8, 4, 9 and 9 catchments, respectively, which can be used in regional analysis to estimate runoff and floods in catchments without discharge measurement data. Manuscript profile