Copy For Citation
Yetilmezsoy K.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, vol.19, pp.2227-2237, 2012 (SCI-Expanded)
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Publication Type:
Article / Article
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Volume:
19
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Publication Date:
2012
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Doi Number:
10.1007/s11356-011-0726-7
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Journal Name:
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
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Journal Indexes:
Science Citation Index Expanded (SCI-EXPANDED), Scopus
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Page Numbers:
pp.2227-2237
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Keywords:
Poultry manure wastewater, Anaerobic digestion, Fenton's oxidation, COD removal, Fuzzy-logic, Regression model, BIOMASS OEDOGONIUM SP, PERFORMANCE EVALUATION, AQUEOUS-SOLUTIONS, DISSOLVED-OXYGEN, NEURAL-NETWORKS, REMOVAL, PREDICTION, REACTOR, COD, DEGRADATION
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Yıldız Technical University Affiliated:
Yes
Abstract
A multiple inputs and multiple outputs (MIMO) fuzzy-logic-based model was proposed to estimate color and chemical oxygen demand (COD) removal efficiencies in the post-treatment of anaerobically pretreated poultry manure wastewater effluent using Fenton's oxidation process. Three main input variables including initial pH, Fe+2, and H2O2 dosages were fuzzified in a new numerical modeling scheme by the use of an artificial intelligence-based approach.