Fuzzy-logic modeling of Fenton's oxidation of anaerobically pretreated poultry manure wastewater

Yetilmezsoy K.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, vol.19, pp.2227-2237, 2012 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 19
  • Publication Date: 2012
  • Doi Number: 10.1007/s11356-011-0726-7
  • Journal Name: ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.2227-2237
  • 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
  • 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.