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Artificial neural network modeling of methane emissions at Istanbul Kemerburgaz-Odayeri landfill site

2006; NISCAIR; Volume: 65; Issue: 2 Linguagem: Inglês

0975-1084

H. Kurtuluş Özcan, Osman Nuri Uçan, Ülkü Alver Şahin, Mehmet Borat, Cuma Bayat,

Water Quality Monitoring and Analysis

This study reports on Istanbul Kemerburgaz-Odayeri (Turkey) solid waste landfills, models CH 4 , CO 2 , CO. atmospheric temperature parameters of this area, and predicts CH 4 using Artificial Neural Networks (ANN). Here, ANN structure employs 4 input, 10 hidden and 1 output neurons. In order to evaluate performance of ANN model, statistical performance indices between real and estimated data have been measured and the correlation is found as 0.983 and 0.806 for training and testing respectively.