Evaluating the ability of artificial neural network and PCA-M5P models in predicting leachate COD load in landfills

• Leachate COD in different time and weather conditions is predicted. • Two intelligent models consisting of ANN and PCA-M5P are utilized. • Efficiency of ANN and PCA-M5P models for the prediction of COD leachate is evaluated. • Effects of deposited waste age, weight of waste, rainfall, base and top...
Ausführliche Beschreibung

• Leachate COD in different time and weather conditions is predicted. • Two intelligent models consisting of ANN and PCA-M5P are utilized. • Efficiency of ANN and PCA-M5P models for the prediction of COD leachate is evaluated. • Effects of deposited waste age, weight of waste, rainfall, base and top CCL thicknesses and the thickness of landfill cover on the leachate COD are considered. • Statistical analysis is performed to evaluate the prediction of leachate COD. Ausführliche Beschreibung