TY  - JOUR
TI  - Evaluation of different curve fitting models for prediction of municipalsolid waste composition
AB  - 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.
AU  - ÖZKAN, Kemal
AU  - IŞIK, Şahin
AU  - özkan, aysun
AU  - BANAR, MUFIDE
DO  - 10.5505/pajes.2020.08377
PY  - 2021
JO  - Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi
VL  - 27
IS  - 3
SN  - 2147-5881
SP  - 384
EP  - 392
DB  - TRDizin
UR  - http://search/yayin/detay/456098
ER  -