Clustering of Basins in Northern Cyprus Using Morphometric Parameters Kuzey Kibris'taki Havzalarin Morfometrik Parametreler Kullanilarak Kümelenmesi

Creative Commons License

ZAİFOĞLU H.

Teknik Dergi/Technical Journal of Turkish Chamber of Civil Engineers, vol.34, no.5, pp.31-54, 2023 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 34 Issue: 5
  • Publication Date: 2023
  • Doi Number: 10.18400/tjce.1312155
  • Journal Name: Teknik Dergi/Technical Journal of Turkish Chamber of Civil Engineers
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.31-54
  • Keywords: geographic information systems, hybrid hierarchical k-means clustering method, morphometric parameters, Northern Cyprus
  • Middle East Technical University Affiliated: Yes

Abstract

The classification of hydrologically similar basins is essential in transferring information from gauged basins to ungauged basins. In this study, the basins in Northern Cyprus were classified into five different clusters with the hybrid hierarchical k-means clustering method, taking into account some basic, linear, areal, and relief morphometric basin characteristics. With these morphometric parameters obtained using geographic information systems (GIS), the hydrological and morphological characteristics of the basins and the formed basin clusters were examined in detail. According to the results, it has been determined that the main stream branches in most of the basins are composed of medium streams. Only the basins in Cluster 1 and some in Cluster 4 include streams that can be defined as rivers. It has been determined that most of the basins have a well-developed drainage network and low drainage densities. In addition, it has been determined that the basins in Clusters 1 and 3 are more prone to natural disasters, such as floods, with their high basin relief features.