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Prediction and optimization of the Fenton process for the treatment of landfill leachate using an artificial neural network

In this study, the artificial neural network (ANN) technique was employed to derive an empirical model to predict and optimize landfill leachate treatment. The impacts of H2O2:Fe2+ ratio, Fe2+ concentration, pH and process reaction time were studied closely. The results showed that the highest and l...

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書誌詳細
主要な著者:	Roudi, A. M., Chelliapan, S., Mohtar, W. H. M. W., Kamyab, H.
フォーマット:	論文
言語:	English
出版事項:	MDPI AG 2018
主題:	TA Engineering (General). Civil engineering (General)
オンライン･アクセス:	http://eprints.utm.my/id/eprint/79747/1/AnitaMaslahatiRoudi2018_PredictionandOptimizationoftheFenton.pdf http://eprints.utm.my/id/eprint/79747/ http://dx.doi.org/10.3390/w10050595
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