Clustering of Precipitation in the Black Sea Region with by Fuzzy C-Means and Silhouette Index Analysis

Gürkan Kır; Aslı Ülke Keskin; Utku Zeybekoğlu

Makale detayları

Clustering of Precipitation in the Black Sea Region with by Fuzzy C-Means and Silhouette Index Analysis

Yazarlar:

Gürkan Kır | Aslı Ülke Keskin | Utku Zeybekoğlu

Yayıncı:

Karyay Karadeniz Yayımcılık

Ana Başlıklar:

Mühendislik

Dergi:

Black Sea Journal of Engineering and Science Vol.6 Issue 3, pp.210-218

Belge Tipi:

Makale

Yayın Tarihi:

1/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001291219

pISSN:

2619-8991

Anahtar kelimeler:

Özet:

 In recent years, there has been a noticeable increase in the number of disasters caused by the effects of global climate change. In this context, various studies are carried out in our country and in the world in order to reduce the effects of climate change. The classification of regions affected by climate change into similar classes in terms of climate parameters is important in terms of applying similar methods in studies to be carried out in these regions. Thus, a correct strategy will be determined in the studies to be carried out in order to reduce the effects of climate change. The observation records evaluated within the scope of the study were used from 31 stations in the Black Sea Region of the Turkish State Meteorological Service, covering the period between 1982 and 2020. Cluster analysis was carried out using the Fuzzy C-Means. As a result of the study, the optimum cluster among the clusters formed by Fuzzy C-Means was determined by Silhouette index analysis. The optimal number of clusters is suggested as 4.

 In recent years, there has been a noticeable increase in the number of disasters caused by the effects of global climate change. In this context, various studies are carried out in our country and in the world in order to reduce the effects of climate change. The classification of regions affected by climate change into similar classes in terms of climate parameters is important in terms of applying similar methods in studies to be carried out in these regions. Thus, a correct strategy will be determined in the studies to be carried out in order to reduce the effects of climate change. The observation records evaluated within the scope of the study were used from 31 stations in the Black Sea Region of the Turkish State Meteorological Service, covering the period between 1982 and 2020. Cluster analysis was carried out using the Fuzzy C-Means. As a result of the study, the optimum cluster among the clusters formed by Fuzzy C-Means was determined by Silhouette index analysis. The optimal number of clusters is suggested as 4.

 In recent years, there has been a noticeable increase in the number of disasters caused by the effects of global climate change. In this context, various studies are carried out in our country and in the world in order to reduce the effects of climate change. The classification of regions affected by climate change into similar classes in terms of climate parameters is important in terms of applying similar methods in studies to be carried out in these regions. Thus, a correct strategy will be determined in the studies to be carried out in order to reduce the effects of climate change. The observation records evaluated within the scope of the study were used from 31 stations in the Black Sea Region of the Turkish State Meteorological Service, covering the period between 1982 and 2020. Cluster analysis was carried out using the Fuzzy C-Means. As a result of the study, the optimum cluster among the clusters formed by Fuzzy C-Means was determined by Silhouette index analysis. The optimal number of clusters is suggested as 4.

 In recent years, there has been a noticeable increase in the number of disasters caused by the effects of global climate change. In this context, various studies are carried out in our country and in the world in order to reduce the effects of climate change. The classification of regions affected by climate change into similar classes in terms of climate parameters is important in terms of applying similar methods in studies to be carried out in these regions. Thus, a correct strategy will be determined in the studies to be carried out in order to reduce the effects of climate change. The observation records evaluated within the scope of the study were used from 31 stations in the Black Sea Region of the Turkish State Meteorological Service, covering the period between 1982 and 2020. Cluster analysis was carried out using the Fuzzy C-Means. As a result of the study, the optimum cluster among the clusters formed by Fuzzy C-Means was determined by Silhouette index analysis. The optimal number of clusters is suggested as 4.

Makale detayları

Clustering of Precipitation in the Black Sea Region with by Fuzzy C-Means and Silhouette Index Analysis

Yazarlar:

Gürkan Kır | Aslı Ülke Keskin | Utku Zeybekoğlu

Yayıncı:

Karyay Karadeniz Yayımcılık

Ana Başlıklar:

Mühendislik

Dergi:

Black Sea Journal of Engineering and Science Vol.6 Issue 3, pp.210-218

Belge Tipi:

Makale

Yayın Tarihi:

1/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001291219

pISSN:

2619-8991

Fuzzy C-Means

Clustering

Silhouette analysis

PrecipitationFuzzy C-Means

Clustering

Silhouette analysis

Precipitation

Sayı

Makale detayları

Yazarlar: Gürkan Kır | Aslı Ülke Keskin | Utku Zeybekoğlu

Yayıncı: Karyay Karadeniz Yayımcılık

Ana Başlıklar: Mühendislik

Dergi: Black Sea Journal of Engineering and Science Vol.6 Issue 3, pp.210-218

Belge Tipi: Makale

Yayın Tarihi: 1/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001291219

pISSN: 2619-8991

Sayı

Yazarlar:

Gürkan Kır | Aslı Ülke Keskin | Utku Zeybekoğlu

Yayıncı:

Karyay Karadeniz Yayımcılık

Ana Başlıklar:

Mühendislik

Dergi:

Black Sea Journal of Engineering and Science Vol.6 Issue 3, pp.210-218

Belge Tipi:

Makale

Yayın Tarihi:

1/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001291219

pISSN:

2619-8991