1000 ha) in Greece," Polish Journal of Environmental Studies, vol. 20, pp. 327-332, 01/01 2011." />
Araştırma Makalesi
BibTex RIS Kaynak Göster

Classification of Forest Fires in European Countries by Clustering Analysis Techniques

Yıl 2023, Cilt: 27 Sayı: 5, 987 - 1001, 18.10.2023

Hakan Serin Muslu Kazım Körez Mehmet Emin Tekin Sinan Siren

https://doi.org/10.16984/saufenbilder.1288073

Öz

The biggest threat to the forests, which are natural habitats in European countries, as they are in the whole world, is forest fires. The aim of this study is to group the 38 European countries which have completely accessible fire indexes between the years 2008 to 2022; with respect to their similarities in fire regimes; and to compare the obtained groups with respect to their fire indexes. The clustering technique, which is a data mining method, was used while making these comparisons since it would be more objective and realistic to group and evaluate the countries according to their similarities. In the K-Means technique 2 clusters, and in the Ward's method 3 clusters were obtained. In the K-Means technique, significant statistical differences were found between the 2 clusters in terms of all fire indexes (p<0.05). In the Ward’s method, statistically significant differences were found between the clusters in terms of the number of fires, total area burned (ha) and woodland (p<0.05). In the result of the studies, the fire regimes in Turkey, Bosnia and Herzegovina, Ukraine, Italy, Spain, and Portugal resulted higher than the other countries in both clustering algorithms. Since many factors were taken into consideration in the study, countries heavily associated with fires such as Greece and France were separated from those with high fire regimes. It is recommended to conduct modelling studies with data mining algorithms by taking different fire indexes into account in order to increase the reliability of the results.

Anahtar Kelimeler

Data mining method ward method k-means cluster analysis forest fire

Destekleyen Kurum

-

Proje Numarası

-

Kaynakça

  • E. A. Johnson, K. Miyanishi, "Forest fires: behavior and ecological effects". Elsevier, Amsterdam, 2001.
  • E. Gutiérrez, S. Lozano, "Avoidable damage assessment of forest fires in European countries: an efficient frontier approach," European journal of forest research, vol. 132, no. 1, pp. 9-21, 2013.
  • J. G. Pausas, "Changes in fire and climate in the eastern Iberian Peninsula (Mediterranean basin)", Journal of Climatic change, vol. 63, no. 3, pp. 337-350, 2004.
  • F. Europe, F. Unece, "State of Europe’s forests 2015," presented at the Ministerial Conference on the Protection of Forests in Europe, 04.11.2015, 2015.
  • N. Khabarov, A. Krasovskii, M. Obersteiner, R. Swart, "Forest fires and adaptation options in Europe," Journal of Regional Environmental Change, vol. 16, no. 1, pp. 21-30, 2016.
  • M. Grünig, R. Seidl, C. Senf, "Increasing aridity causes larger and more severe forest fires across Europe," Journal of Global Change Biology, Dec 14 2022.
  • A. Hamit, K. Ali, C. Huseyin, "The structure and importance of fire suppressing organizations in Turkey," Journal of Scientific Research and Essays, vol. 5, no. 5, pp. 456-460, 2010.
  • Z. G. Yılmaz, "Yaşar Kemal ve Orman Yangınları," Ekoeleştiri Çevre ve Edebiyat. Phoenix Yayınevi, Ankara, pp. 129-169, 2012.
  • C. Şahan, K. İsmail, "Türkiye ve Avrupa Ülkeleri Orman Yangınlarının Bazı Değişkenler Açısından Değerlendirilmesi," Ordu Üniversitesi Sosyal Bilimler Enstitüsü Sosyal Bilimler Araştırmaları Dergisi, vol. 12, no. 1, pp. 1-14, 2022.
  • A. Küçükosmanoğlu, "Ülkemizde orman yangınları ve yangın sezonları," Journal of the Faculty of Forestry Istanbul University, vol. 44, no. 1-2, pp. 121-128, 1994.
  • A. Dimitrakopoulos, C. Gogi, G. Stamatelos, I. Mitsopoulos, "Statistical Analysis of the Fire Environment of Large Forest Fires (> 1000 ha) in Greece," Polish Journal of Environmental Studies, vol. 20, pp. 327-332, 01/01 2011.
  • O. Kahraman, O. Esin, G. Çamalan, "İzmir-Tırazlı orman yangınının uydu ve model verileri ile analizi," Ulusal Çevre Bilimleri Araştırma Dergisi, vol. 4, no. 1, pp. 1-12, 2021.
  • F. Moreira, O. Viedma, M. Arianoutsou, T. Curt, N. Koutsias, "Landscape–wildfire interactions in southern Europe: implications for landscape management," Journal of environmental management, vol. 92, no. 10, pp. 2389-2402, 2011.
  • J. San Miguel Ayanz, J. M. Moreno, A. Camia, "Analysis of large fires in European Mediterranean landscapes: Lessons learned and perspectives," Journal of Forest Ecology and Management, vol. 294, pp. 11-22, 2013.
  • J. San Miguel Ayanz, M. Rodrigues, S. Oliveira, C. Pacheco, F. Moreira, "Land cover change and fire regime in the European Mediterranean region," in Journal of Post-fire management and restoration of southern European forests: Springer, 2012, pp. 21-43.
  • F. Rego, E. Rigolot, P. Fernandes, C. Montiel, J. Silva, "Towards integrated fire management. European Forest Institute Policy Brief 4," Joensuu, Finland), 2010.
  • T. C. T. v. O. B. O. G. M. "Ormancılık İstatistikleri "(accessed 26.12.2022, 2022).
  • J. S. Júnior, J. R. Paulo, J. Mendes, D. Alves, L. M. Ribeiro, C. Viegas, "Automatic forest fire danger rating calibration: Exploring clustering techniques for regionally customizable fire danger classification," Expert Systems with Applications, vol. 193, p. 116380, 2022.
  • P. Cortez, A. d. J. R. Morais, "A data mining approach to predict forest fires using meteorological data," Department of Information Systems R&D Algoritmi Centre, University of Minho, 2007.
  • Z. Li, Y. Kaufman, C. Ichoku, R. Fraser, A. Trishchenko, L. Giglio, J. Jin, X. Yu, "A review of AVHRR-based active fire detection algorithms: Principles, limitations, and recommendations," Global and regional vegetation fire monitoring from space, planning and coordinated international effort, pp. 199-225, 2001.
  • J. G. Han, K. H. Ryu, K. H. Chi, Y. K. Yeon, "Statistics based predictive geo-spatial data mining: Forest fire hazardous area mapping application," in Web Technologies and Applications: 5th Asia-Pacific Web Conference, APWeb 2003, Xian, China, April 23–25, 2003 Proceedings 5, 2003: Springer, pp. 370-381.
  • G. F. Shidik, K. Mustofa, "Predicting size of forest fire using hybrid model," in Information and Communication Technology: Second IFIP TC5/8 International Conference, ICT-EurAsia 2014, Bali, Indonesia, April 14-17, 2014. Proceedings 2, 2014: Springer, pp. 316-327.
  • D. Rosadi, W. Andriyani, "Prediction of forest fire using ensemble method," in Journal of Physics: Conference Series, 2021, vol. 1918, no. 4: IOP Publishing, p. 042043.
  • D. Sinha, R. Kumari, S. Tripathi, "Semisupervised classification based clustering approach in WSN for forest fire detection," Wireless Personal Communications, vol. 109, pp. 2561-2605, 2019.
  • B. Tutmez, M. G. Ozdogan, A. Boran, "Mapping forest fires by nonparametric clustering analysis," Journal of forestry research, vol. 29, pp. 177-185, 2018.
  • H. Yin, J. Guli, L. Jiang, T. Yu, J. Umuhoza, X. Li, "Monitoring fire regimes and assessing their driving factors in Central Asia," Journal of Arid Land, vol. 13, pp. 500-515, 2021.
  • J. Li, Y. Shan, S. Yin, M. Wang, L. Sun, D. Wang, "Nonparametric multivariate analysis of variance for affecting factors on the extent of forest fire damage in Jilin Province, China," Journal of Forestry Research, vol. 30, pp. 2185-2197, 2019.
  • L. Iliadis, M. Vangeloudh, S. Spartalis, "An intelligent system employing an enhanced fuzzy c-means clustering model: Application in the case of forest fires," Computers and Electronics in Agriculture, vol. 70, no. 2, pp. 276-284, 2010.
  • E. F. F. I. S. EFFIS. "EFFIS Statistics Portal." (accessed 10.11.2022, 2022).
  • Y. K. Akın, "Veri madenciliğinde kümeleme algoritmaları ve kümeleme analizi," Marmara Üniversitesi / Sosyal Bilimler Enstitüsü / Ekonometri Ana Bilim Dalı, Marmara Üniversitesi / Sosyal Bilimler Enstitüsü / Ekonometri Ana Bilim Dalı, Turkey, 2008.
  • B. Altunkaynak, "Veri madenciliği yöntemleri ve R uygulamaları". Seçkin Yayıncılık, Ankara, 2019.
  • F. Murtagh, P. Legendre, "Ward’s hierarchical agglomerative clustering method: which algorithms implement Ward’s criterion?," Journal of classification, vol. 31, no. 3, pp. 274-295, 2014.
  • H. Ehsan, D. A. Hamed, S. Jamal, "Application of data mining techniques in stock markets: A survey," Journal of Economics and International Finance, vol. 2, no. 7, pp. 109-118, 2010.
  • A. Kassambara, "Practical guide to cluster analysis in R: Unsupervised machine learning". STHDA, 2017.
  • F. J. M. Ruíz, "Strategic group analysis in strategic marketing: an application to Spanish savings banks", Marketing Intelligence & Planning, vol. 6, pp. 257-270, 1998.
  • C. Alpar, Uygulamalı çok değişkenli istatistiksel yöntemler. Detay Yayıncılık, Ankara, 2017.
  • C. Sungur, "Sağlık göstergelerine göre Ekonomik Kalkınma ve İşbirliği Örgütü ülkelerinin kümeleme analizi," SGD-Sosyal Güvenlik Dergisi, vol. 6, no. 1, pp. 197-224, 2016.
  • Ö. F. Rençber, "Veri madenciliğinde kullanılan kümeleme algoritmalarının karşılaştırılması üzerine bir inceleme," Düzce Üniversitesi Bilim ve Teknoloji Dergisi, vol. 7, no. 3, pp. 1671-1685, 2019.
  • P. Barbosa, A. Camia, J. Kucera, G. Liberta, I. Palumbo , "Assessment of forest fire impacts and emissions in the European Union based on the European Forest Fire Information System," Journal of Developments in Environmental Science, vol. 8, pp. 197-208, 2008.
  • P. Mateus, P. M. Fernandes, "Forest fires in Portugal: dynamics, causes and policies," Journal of Forest context and policies in Portugal: Springer, 2014, pp. 97-115.
  • B. Draškovıć, B. Mıletıć, M. Gutalj, S. Stjepanovıć, "Climate changes and fires in Bosnia and Herzegovina," in XI International Scientific Agriculture Symposium ,AGROSYM, Republic of Srpska, Bosnia and Herzegovina, October 2020, pp. 694-702.
  • F. Tedim, G. Xanthopoulos, V. Leone, "Forest fires in Europe: Facts and challenges," in Wildfire hazards, risks and disasters: Elsevier, 2015, pp. 77-99.

Yıl 2023, Cilt: 27 Sayı: 5, 987 - 1001, 18.10.2023

Hakan Serin Muslu Kazım Körez Mehmet Emin Tekin Sinan Siren

https://doi.org/10.16984/saufenbilder.1288073

Öz

Proje Numarası

-

Kaynakça

  • E. A. Johnson, K. Miyanishi, "Forest fires: behavior and ecological effects". Elsevier, Amsterdam, 2001.
  • E. Gutiérrez, S. Lozano, "Avoidable damage assessment of forest fires in European countries: an efficient frontier approach," European journal of forest research, vol. 132, no. 1, pp. 9-21, 2013.
  • J. G. Pausas, "Changes in fire and climate in the eastern Iberian Peninsula (Mediterranean basin)", Journal of Climatic change, vol. 63, no. 3, pp. 337-350, 2004.
  • F. Europe, F. Unece, "State of Europe’s forests 2015," presented at the Ministerial Conference on the Protection of Forests in Europe, 04.11.2015, 2015.
  • N. Khabarov, A. Krasovskii, M. Obersteiner, R. Swart, "Forest fires and adaptation options in Europe," Journal of Regional Environmental Change, vol. 16, no. 1, pp. 21-30, 2016.
  • M. Grünig, R. Seidl, C. Senf, "Increasing aridity causes larger and more severe forest fires across Europe," Journal of Global Change Biology, Dec 14 2022.
  • A. Hamit, K. Ali, C. Huseyin, "The structure and importance of fire suppressing organizations in Turkey," Journal of Scientific Research and Essays, vol. 5, no. 5, pp. 456-460, 2010.
  • Z. G. Yılmaz, "Yaşar Kemal ve Orman Yangınları," Ekoeleştiri Çevre ve Edebiyat. Phoenix Yayınevi, Ankara, pp. 129-169, 2012.
  • C. Şahan, K. İsmail, "Türkiye ve Avrupa Ülkeleri Orman Yangınlarının Bazı Değişkenler Açısından Değerlendirilmesi," Ordu Üniversitesi Sosyal Bilimler Enstitüsü Sosyal Bilimler Araştırmaları Dergisi, vol. 12, no. 1, pp. 1-14, 2022.
  • A. Küçükosmanoğlu, "Ülkemizde orman yangınları ve yangın sezonları," Journal of the Faculty of Forestry Istanbul University, vol. 44, no. 1-2, pp. 121-128, 1994.
  • A. Dimitrakopoulos, C. Gogi, G. Stamatelos, I. Mitsopoulos, "Statistical Analysis of the Fire Environment of Large Forest Fires (> 1000 ha) in Greece," Polish Journal of Environmental Studies, vol. 20, pp. 327-332, 01/01 2011.
  • O. Kahraman, O. Esin, G. Çamalan, "İzmir-Tırazlı orman yangınının uydu ve model verileri ile analizi," Ulusal Çevre Bilimleri Araştırma Dergisi, vol. 4, no. 1, pp. 1-12, 2021.
  • F. Moreira, O. Viedma, M. Arianoutsou, T. Curt, N. Koutsias, "Landscape–wildfire interactions in southern Europe: implications for landscape management," Journal of environmental management, vol. 92, no. 10, pp. 2389-2402, 2011.
  • J. San Miguel Ayanz, J. M. Moreno, A. Camia, "Analysis of large fires in European Mediterranean landscapes: Lessons learned and perspectives," Journal of Forest Ecology and Management, vol. 294, pp. 11-22, 2013.
  • J. San Miguel Ayanz, M. Rodrigues, S. Oliveira, C. Pacheco, F. Moreira, "Land cover change and fire regime in the European Mediterranean region," in Journal of Post-fire management and restoration of southern European forests: Springer, 2012, pp. 21-43.
  • F. Rego, E. Rigolot, P. Fernandes, C. Montiel, J. Silva, "Towards integrated fire management. European Forest Institute Policy Brief 4," Joensuu, Finland), 2010.
  • T. C. T. v. O. B. O. G. M. "Ormancılık İstatistikleri "(accessed 26.12.2022, 2022).
  • J. S. Júnior, J. R. Paulo, J. Mendes, D. Alves, L. M. Ribeiro, C. Viegas, "Automatic forest fire danger rating calibration: Exploring clustering techniques for regionally customizable fire danger classification," Expert Systems with Applications, vol. 193, p. 116380, 2022.
  • P. Cortez, A. d. J. R. Morais, "A data mining approach to predict forest fires using meteorological data," Department of Information Systems R&D Algoritmi Centre, University of Minho, 2007.
  • Z. Li, Y. Kaufman, C. Ichoku, R. Fraser, A. Trishchenko, L. Giglio, J. Jin, X. Yu, "A review of AVHRR-based active fire detection algorithms: Principles, limitations, and recommendations," Global and regional vegetation fire monitoring from space, planning and coordinated international effort, pp. 199-225, 2001.
  • J. G. Han, K. H. Ryu, K. H. Chi, Y. K. Yeon, "Statistics based predictive geo-spatial data mining: Forest fire hazardous area mapping application," in Web Technologies and Applications: 5th Asia-Pacific Web Conference, APWeb 2003, Xian, China, April 23–25, 2003 Proceedings 5, 2003: Springer, pp. 370-381.
  • G. F. Shidik, K. Mustofa, "Predicting size of forest fire using hybrid model," in Information and Communication Technology: Second IFIP TC5/8 International Conference, ICT-EurAsia 2014, Bali, Indonesia, April 14-17, 2014. Proceedings 2, 2014: Springer, pp. 316-327.
  • D. Rosadi, W. Andriyani, "Prediction of forest fire using ensemble method," in Journal of Physics: Conference Series, 2021, vol. 1918, no. 4: IOP Publishing, p. 042043.
  • D. Sinha, R. Kumari, S. Tripathi, "Semisupervised classification based clustering approach in WSN for forest fire detection," Wireless Personal Communications, vol. 109, pp. 2561-2605, 2019.
  • B. Tutmez, M. G. Ozdogan, A. Boran, "Mapping forest fires by nonparametric clustering analysis," Journal of forestry research, vol. 29, pp. 177-185, 2018.
  • H. Yin, J. Guli, L. Jiang, T. Yu, J. Umuhoza, X. Li, "Monitoring fire regimes and assessing their driving factors in Central Asia," Journal of Arid Land, vol. 13, pp. 500-515, 2021.
  • J. Li, Y. Shan, S. Yin, M. Wang, L. Sun, D. Wang, "Nonparametric multivariate analysis of variance for affecting factors on the extent of forest fire damage in Jilin Province, China," Journal of Forestry Research, vol. 30, pp. 2185-2197, 2019.
  • L. Iliadis, M. Vangeloudh, S. Spartalis, "An intelligent system employing an enhanced fuzzy c-means clustering model: Application in the case of forest fires," Computers and Electronics in Agriculture, vol. 70, no. 2, pp. 276-284, 2010.
  • E. F. F. I. S. EFFIS. "EFFIS Statistics Portal." (accessed 10.11.2022, 2022).
  • Y. K. Akın, "Veri madenciliğinde kümeleme algoritmaları ve kümeleme analizi," Marmara Üniversitesi / Sosyal Bilimler Enstitüsü / Ekonometri Ana Bilim Dalı, Marmara Üniversitesi / Sosyal Bilimler Enstitüsü / Ekonometri Ana Bilim Dalı, Turkey, 2008.
  • B. Altunkaynak, "Veri madenciliği yöntemleri ve R uygulamaları". Seçkin Yayıncılık, Ankara, 2019.
  • F. Murtagh, P. Legendre, "Ward’s hierarchical agglomerative clustering method: which algorithms implement Ward’s criterion?," Journal of classification, vol. 31, no. 3, pp. 274-295, 2014.
  • H. Ehsan, D. A. Hamed, S. Jamal, "Application of data mining techniques in stock markets: A survey," Journal of Economics and International Finance, vol. 2, no. 7, pp. 109-118, 2010.
  • A. Kassambara, "Practical guide to cluster analysis in R: Unsupervised machine learning". STHDA, 2017.
  • F. J. M. Ruíz, "Strategic group analysis in strategic marketing: an application to Spanish savings banks", Marketing Intelligence & Planning, vol. 6, pp. 257-270, 1998.
  • C. Alpar, Uygulamalı çok değişkenli istatistiksel yöntemler. Detay Yayıncılık, Ankara, 2017.
  • C. Sungur, "Sağlık göstergelerine göre Ekonomik Kalkınma ve İşbirliği Örgütü ülkelerinin kümeleme analizi," SGD-Sosyal Güvenlik Dergisi, vol. 6, no. 1, pp. 197-224, 2016.
  • Ö. F. Rençber, "Veri madenciliğinde kullanılan kümeleme algoritmalarının karşılaştırılması üzerine bir inceleme," Düzce Üniversitesi Bilim ve Teknoloji Dergisi, vol. 7, no. 3, pp. 1671-1685, 2019.
  • P. Barbosa, A. Camia, J. Kucera, G. Liberta, I. Palumbo , "Assessment of forest fire impacts and emissions in the European Union based on the European Forest Fire Information System," Journal of Developments in Environmental Science, vol. 8, pp. 197-208, 2008.
  • P. Mateus, P. M. Fernandes, "Forest fires in Portugal: dynamics, causes and policies," Journal of Forest context and policies in Portugal: Springer, 2014, pp. 97-115.
  • B. Draškovıć, B. Mıletıć, M. Gutalj, S. Stjepanovıć, "Climate changes and fires in Bosnia and Herzegovina," in XI International Scientific Agriculture Symposium ,AGROSYM, Republic of Srpska, Bosnia and Herzegovina, October 2020, pp. 694-702.
  • F. Tedim, G. Xanthopoulos, V. Leone, "Forest fires in Europe: Facts and challenges," in Wildfire hazards, risks and disasters: Elsevier, 2015, pp. 77-99.
Toplam 42 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Yapay Zeka, Çevre Bilimleri, Çevre Mühendisliği
Bölüm Araştırma Makalesi
Yazarlar

Hakan Serin 0000-0002-1290-4547

Muslu Kazım Körez 0000-0001-9524-6115

Mehmet Emin Tekin 0000-0002-3449-9984

Sinan Siren 0000-0003-2182-5047

Proje Numarası -
Erken Görünüm Tarihi 5 Ekim 2023
Yayımlanma Tarihi 18 Ekim 2023
Gönderilme Tarihi 26 Nisan 2023
Kabul Tarihi 21 Haziran 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 27 Sayı: 5

Kaynak Göster

APA Serin, H., Körez, M. K., Tekin, M. E., Siren, S. (2023). Classification of Forest Fires in European Countries by Clustering Analysis Techniques. Sakarya University Journal of Science, 27(5), 987-1001. https://doi.org/10.16984/saufenbilder.1288073
AMA Serin H, Körez MK, Tekin ME, Siren S. Classification of Forest Fires in European Countries by Clustering Analysis Techniques. SAUJS. Ekim 2023;27(5):987-1001. doi:10.16984/saufenbilder.1288073
Chicago Serin, Hakan, Muslu Kazım Körez, Mehmet Emin Tekin, ve Sinan Siren. “Classification of Forest Fires in European Countries by Clustering Analysis Techniques”. Sakarya University Journal of Science 27, sy. 5 (Ekim 2023): 987-1001. https://doi.org/10.16984/saufenbilder.1288073.
EndNote Serin H, Körez MK, Tekin ME, Siren S (01 Ekim 2023) Classification of Forest Fires in European Countries by Clustering Analysis Techniques. Sakarya University Journal of Science 27 5 987–1001.
IEEE H. Serin, M. K. Körez, M. E. Tekin, ve S. Siren, “Classification of Forest Fires in European Countries by Clustering Analysis Techniques”, SAUJS, c. 27, sy. 5, ss. 987–1001, 2023, doi: 10.16984/saufenbilder.1288073.
ISNAD Serin, Hakan vd. “Classification of Forest Fires in European Countries by Clustering Analysis Techniques”. Sakarya University Journal of Science 27/5 (Ekim 2023), 987-1001. https://doi.org/10.16984/saufenbilder.1288073.
JAMA Serin H, Körez MK, Tekin ME, Siren S. Classification of Forest Fires in European Countries by Clustering Analysis Techniques. SAUJS. 2023;27:987–1001.
MLA Serin, Hakan vd. “Classification of Forest Fires in European Countries by Clustering Analysis Techniques”. Sakarya University Journal of Science, c. 27, sy. 5, 2023, ss. 987-1001, doi:10.16984/saufenbilder.1288073.
Vancouver Serin H, Körez MK, Tekin ME, Siren S. Classification of Forest Fires in European Countries by Clustering Analysis Techniques. SAUJS. 2023;27(5):987-1001.
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