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:: Volume 3, Issue 1 (6-2015) ::
jgit 2015, 3(1): 1-14 Back to browse issues page
Determination of the Number of Seismotectonic Provinces using Partitioning Clustering of Seismic Data
Mohammad Kazemi Beydokhti, Rahim Ali Abbaspour *
University of Tehran
Abstract:   (3953 Views)

Seismotectonic provinces are defined as areas that have similar seismological characteristics, active tectonic fault system similar to each other. Identification of these areas is one of the most important subjects in seismic hazard analysis. Clustering methods are known as techniques for identifying information associated with the huge number of data. Since these methods are appropriate visual representations and provide reliable results, they can be an important tool for determining the seismotectonic provinces. In this study, three partitioning clustering methods were used including: K-means, CALARA, and Fuzzy C-means. For assessing the validity of these methods, five clustering validity indexes including: Davies-Bouldin, Silhouette, SD, S_Dbw, and Xie-Beni were used. Parameters including the earthquake epicenters, magnitude, gravity, magnetism, and fault density, as input clustering methods, were considered for modeling seismotectonic regions. After determining the optimal number of clusters, in order to evaluate the results of clustering model IRCOLD seismotectonic model was applied. The results showed that compared with other methods, CLARA have a greater compatibility with seismotectonic model in Iran. Finally, after comparing the number of optimized clustering methods with seismotectonic model it is concluded that the best number of seismotectonic provinces is 13.

Keywords: Seismotectonic zones, clustering, validity indexes, seismic data
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Type of Study: Research |
Received: 2016/01/22 | Accepted: 2016/01/22 | Published: 2016/01/22
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Kazemi Beydokhti M, Ali Abbaspour R. Determination of the Number of Seismotectonic Provinces using Partitioning Clustering of Seismic Data. jgit. 2015; 3 (1) :1-14
URL: http://jgit.kntu.ac.ir/article-1-188-en.html


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Volume 3, Issue 1 (6-2015) Back to browse issues page
نشریه علمی-پژوهشی مهندسی فناوری اطلاعات مکانی Engineering Journal of Geospatial Information Technology
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