TY - JOUR TT - Investigation of the Treatability of Hand-printed Textile Wastewaters by UV/H2O2 Using Artificial Neural Networks AU - Yalılı Kılıç, Melike AU - Yonar, Taner PY - 2017 DA - December Y2 - 2017 DO - 10.17482/uumfd.320528 JF - Uludağ Üniversitesi Mühendislik Fakültesi Dergisi JO - UUJFE PB - Bursa Uludağ Üniversitesi WT - DergiPark SN - 2148-4155 SP - 201 EP - 212 VL - 22 IS - 3 KW - Arıtma KW - el baskısı tekstil atıksuyu KW - UV/H2O2 N2 - In this study, the photooxidation of pollutantssuch as COD and color present in hand-printed textile wastewaters has beencarried out in the presence of hydrogen peroxide (H2O2),using 256 nm UV light (15 W), and the results of the treatment has beenpresented. The obtained data has been successfully tested through aNeuroSolutions 5.06 model. Each sample has been characterized by threeindependent variables (i.e., pH, H2O2 concentration, andtime of operation) and two dependent variables (i.e., color and COD). 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