KaydedilenlerDerginizi ekleyin

Dergiler / Environmental Research and Technology / 2026 / Volume: 3 Issue: 3

A statistical analysis of municipal waste treatment types in European countries

Cenk İçöz(Eskişehir Technical University)0000-0002-0219-1088
Fikret Er(ANADOLU UNIVERSITY)0000-0002-0194-616X
Sayfa
—
Yayın Tarihi
2020-09-30
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Using correspondence analysis as a main statistical technique with the help of cluster analysis, a classification of the countries according to municipal waste treatment types is created.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:In today’s world, the municipal waste management is becoming a main concern for every country and city.
📊
Temel Bulgular & Veri:The data is taken from a report of EUROSTAT about municipal waste treated in European Union (EU) and EU candidate countries for 2012.
💡
Sonuç & Katkı:Using correspondence analysis as a main statistical technique with the help of cluster analysis, a classification of the countries according to municipal waste treatment types is created.
🔬Tür:Research Article
📍Kapsam:2012 Verileri
⚙️Değişkenler:Correspondence Analysis · cluster analysis · EUROSTAT

Abstract

In today’s world, the municipal waste management is becoming a main concern for every country and city. In environmental problems, how to collect and eliminate the municipal waste is extremely important. Different countries take different approaches towards the elimination of municipal waste and try to create policies. In this study, municipal waste treatment types for European Union (EU) and EU candidate countries is investigated. The data is taken from a report of EUROSTAT about municipal waste treated in European Union (EU) and EU candidate countries for 2012. There are 4 variables which form how municipal waste is treated in these countries. These variables are called as Recycled, Composted, Landfilled and Incinerated. Using correspondence analysis as a main statistical technique with the help of cluster analysis, a classification of the countries according to municipal waste treatment types is created.

🔖

Bu Makaleye Atıf Yap

İçöz, C., Er, F. (2020). A statistical analysis of municipal waste treatment types in European countries. Environmental Research and Technology, Volume: 3 Issue: 3. https://doi.org/10.35208/ert.769634

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (14)

  1. Eurostat, 2014. Environment in EU28, Eurostat news release.
  2. R. K. Henry, Z. Yongsheng, and D. Jun, “Municipal solid waste management challenges in developing countries–Kenyan case study,” Waste management, 26(1), pp. 92-100, 2006
  3. M. Sharholy, K. Ahmad, G. Mahmood, and R. C. Trivedi, “Municipal solid waste management in Indian cities–A review,” Waste management, 28(2), pp. 459-467, 2008.
  4. D. M. N. Del Mundo, C. M. Rebancos,, and S. A. Alaira, “Correlation of socio-economic status, environmental awareness, knowledge, and perception on solid waste management practices in Barangays Talisay and Balibago, Calatagan, Batangas, Philippines,” Journal of Environmental Science and Management, 12(2), 2010.
  5. J. Chamizo-Gonzalez, E. I. Cano-Montero, and C. I. Muñoz-Colomina, “Municipal Solid Waste Management services and its funding in Spain. Resources,” Conservation and Recycling, 107,pp. 65-72, 2016.
  6. R. F. R. Maranan, M. G. V. Paraso, A. J. Alcantara, M. V. O. Espaldon, S. A. Alaira, C. C. Sevilla, and, C. A. Valdez, “Operations and Waste Management of Slaughterhouses in the Province of Laguna,” Journal of Environmental Science and Management, 11(2), 2009.
  7. M. J. Greenacre, Biplots in practice. Fundacion BBVA, 2010.
  8. M. Greenacre, R. Primicerio, Multivariate analysis of ecological data. Fundacion BBVA, 2013.
  9. O. Nenadic, & M. Greenacre. Correspondence analysis in R, with two-and three-dimensional graphics: The ca package, 2007.
  10. A. Rajaraman, & J. D. Ullman, Mining of Massive Datasets. Cambridge University Press,2011.
  11. R Core Team,R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, 2018 URL https://www.R-project.org/.
  12. G. Vujić, A., Gonzalez-Roof, N. Stanisavljević, & A. M. Ragossnig, “Municipal solid waste development phases: Evidence from EU27”. Waste Management & Research, 33(12),pp. 1112-1120,2015.
  13. www.tableau.com, Tableau website (Tableau, Business Intelligence and Analytics) [Online]. Available (2020)
  14. R Core Team,R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, 2018 URL https://www.R-project.org/.