Kentsel katı atık bileşiminin tahmini için farklı eğri uydurma modellerinin değerlendirilmesi

Yıl 2021, Cilt: 27 Sayı: 3, 384 - 392, 09.06.2021

Aysun Özkan Kemal Özkan Şahin Işık Mufide Banar

Öz

Bu çalışmada, Eskişehir/Türkiye’deki kentsel katı atık (MSW) bileşiminin tahmini için bir metodoloji uygulanmıştır. Bu amaçla, MSW örnekleri toplanmış ve numuneler yiyecek atığı, kâğıt-karton, plastik, metal, cam olarak el ile ayrılmıştır. Bu çalışmada, MSW bileşiminin tahmini için 2B eğri uydurma fonksiyonları kullanılmıştır. Önerilen sistemin performansını yorumlamak için, Kök Ortalama Karesel Hata (RMSE) ve Toplam Karesel Hata (SSE) değerleri değerlendirme ölçütleri olarak seçilmiştir. Sonuçlara göre, polinom eğri uydurma modelinin atık bileşiminin tahmini için daha uygun olduğu belirlenmiştir. Ayrıca, sosyoekonomik yapının atık bileşimi üzerindeki farklı doğrusal olmayan modellerle etkisi gözlenmiştir. Çalışmanın katkısıyla, benzer faktörlere sahip olan diğer şehirlerin MSW kompozisyonunu tahmin etmek mümkün olacaktır.

Anahtar Kelimeler

Eğri uydurma, Modelleme, Kentsel katı atık, Sosyoekonomik faktörler, Atık bileşimi

Evaluation of different curve fitting models for prediction of municipal solid waste composition

Öz

In this study, the methodology was applied for the prediction of municipal solid waste (MSW) composition in the Eskişehir/Turkey. For this purpose, MSW samples were collected, and the samples were separated by food wastes, paper-cardboard, plastics, glass, metals as manually. In the present study, the concept of 2D curve fitting functions was adopted for the forecasting of MSW composition. To comment on the performance of proposed system, the Root Mean Square Error (RMSE) and Sum of Squared Error (SSE) metrics were chosen as statistical residual evaluation metrics. According to results, it is seen that the polynomial curve fitting model is most suitable. Also, the effect of socio-economic structure on the waste composition by different nonlinear models was observed. With contribution of study, it would be possible to forecast the MSW composition of other cities which have similar factors.

Anahtar Kelimeler

Curve fitting, Modeling, Municipal solid waste, Socioeconomic factors, Waste composition

Kaynakça

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