EL BASKISI İŞLETMELERİNDEN KAYNAKLANAN TEKSTİL ATIKSULARININ UV/H2O2 PROSESİYLE ARITILABİLİRLİĞİNİN YAPAY SİNİR AĞLARI İLE ARAŞTIRILMASI

Yıl 2017, Cilt: 22 Sayı: 3, 201 - 212, 31.12.2017

Melike Yalılı Kılıç Taner Yonar

https://doi.org/10.17482/uumfd.320528

Öz

Bu
çalışmada, el baskısı işletmelerinden kaynaklanan tekstil atıksularındaki KOİ
ve renk gibi kirleticilerin fotooksidasyonu, UV/H₂O₂ prosesi
ile 256 nm dalga boyunda, 15 W’lık lambaların kullanımıyla gerçekleştirilmiş ve
arıtma sonuçları sunulmuştur. Veriler NeuroSolutions 5.06 model ile başarılı
bir şekilde test edilmiştir. Her bir örnek, üç bağımsız değişken (pH, H₂O₂
konsantrasyonu, işletme süresi) ve iki bağımlı değişken (renk ve KOİ) ile karakterize
edilmiştir. Sonuçlar, pH’ın baskın değişken olduğunu, reaksiyon süresi ile H₂O₂
konsantrasyonunun daha az etkili değişkenler olduğunu göstermiştir. Model, KOİ
için %99 ve renk için %99 korelasyon katsayıları sunarken, modelin tahmin
gücünü ve genellemenin karakterini belirtmektedir.

Anahtar Kelimeler

Arıtma, el baskısı tekstil atıksuyu, UV/H2O2

Investigation of the Treatability of Hand-printed Textile Wastewaters by UV/H2O2 Using Artificial Neural Networks

Öz

In this study, the photooxidation of pollutants
such as COD and color present in hand-printed textile wastewaters has been
carried out in the presence of hydrogen peroxide (H₂O₂),
using 256 nm UV light (15 W), and the results of the treatment has been
presented. The obtained data has been successfully tested through a
NeuroSolutions 5.06 model. Each sample has been characterized by three
independent variables (i.e., pH, H₂O₂ concentration, and
time of operation) and two dependent variables (i.e., color and COD). According
to the results, pH is the predominant variable, and the reaction mean time and
H₂O₂ volume are the less influential variables. The
neural model obtained presented coefficients of correlation of 99% for COD and
99% for color, indicating the prediction power of the model and its character
of generalization.

Anahtar Kelimeler

Treatment, hand-printed textile wastewater, UV/H2O2, artificial neural network

Kaynakça

• Akbostancı, İ. (2004) Anadolu’da yazmacılık sanatı, Skylife, 246, 100-107.
• AlHamedi, F.H., Rauf, M.A. and Ashraf, S.S. (2009) Degradation studies of Rhodamine B in the presence of UV/H2O2, Desalination, 239, 159-166. doi:10.1016/j.desal.2008.03.016
• Anonim (2011) Su Kirliliği Kontrol Yönetmeliğinde Değişiklik Yapılmasına Dair Yönetmelik, http://www.resmigazete.gov.tr/eskiler/2011/04/20110424-9.htm (erişim tarihi: 31.01.2017)
• Anonim (2017) Hand painted textiles http://www.turkishculture.org/pages.php?ParentID=14&ID=109, (erişim tarihi: 31.01.2017)
• APHA-AWWA-WEF (1998) Standard Methods for the Examination of Water and Wastewater, 20th ed.; American Public Health Association: Washington D.C.
• Arslan, I. and Akmehmet Balcioglu, I. (1999) Degradation of commercial reactive dyestuffs by heterogenous and homogenous advanced oxidation processes: a comparative study, Dyes Pigments, 43, 95-108. PII: S0143-7208(99)00048-0
• Azbar, N., Yonar, T. and Kestioğlu, K. (2004) Comparison of various advanced oxidation processes and chemical treatment methods for COD and color removal from a polyester and acetate fiber dyeing effluent, Chemosphere, 55, 35-43. doi:10.1016/j.chemosphere.2003.10.046
• Behnajady, M.A., Modirshahla, N. and Shokri, M. (2004) Photodestruction of Acid Orange 7 (AO7) in aqueous solutions by UV/H2O2: Influence of operational parameters, Chemosphere, 55,129-134. doi:10.1016/j.chemosphere.2003.10.054
• Bilinska, L., Gmurek, M., Ledakowicz, S. (2015) Application of advanced oxidation technologies for decolorization and mineralization of textile wastewaters, Journal of Advanced Oxidation Technologies, 18(2), 185-194. doi.org/10.1515/jaots-2015-0202.
• Clarke, N. and Knowles, G. (1982) High purity water using H2O2 and UV radiation, Effluent Water Treatment Journal, 23, 335-341.
• Correira, V.M., Stephenson, T. and Judd S.J. (1994) Characterizastion of textile wastewater- a review, Environmental Technology, 15 (10), 917-929. doi.org/10.1080/09593339409385500
• Crittenden, J.C., Hu, S., Hand, D.W. and Gren, S.A. (1999) A kinetic model for H2O2/UV process in a completely mixed batch reactor, Water Research, 33, 2315-2328.
• Çokay Çatalkaya, E., Bali, U. and Şengül, F. (2004) Fenol’ün fotokimyasal yöntemlerle parçalanması ve mineralizasyonu, Su Kirlenmesi Kontrolü Dergisi, 14(3), 31-41.
• Dabek, L., Ozimina, E. and Picheta-Oles, A. (2013) Research on removal of coloured organic compounds from textile industry wastewater, Rocznik Ochrona Srodowiska, 15, 1164-1176.
• De Melo, C.F., da Silva, F.T. and de Paiva, T.C.B. (2011) Treatment of wastewater from a cotton dyeing process with UV/H2O2 using a photoreactor covered with reflective material, Water Science and Technology, 64(2), 460-468. doi: 10.2166/wst.2011.661
• Despagne, F. and Massart, D.L. (1998) Neural networks in multivariate calibration, Analyst, 123,157-178.
• Gob, S., Oliveros, E., Bossmann, S.H., Braun, A.M., Guardani, R. and Nascimento, C.A.O. (1999) Modeling the kinetics of a photochemical water treatment process by means of artificial neural networks, Chemical Engineering Processing: Process Intensification, 38(4), 373-382. PII:S0255-2701(99)00028-8
• Grau, P. (1991) Textile industry wastewater treatment, Water Science and Technology, 24, 97-103.
• Guittonneau, S., De Laat, J., Duguet, J.P., Bonnel, C. and Dore, M. (1990) Oxidation of parachloronitrobenzene˙ ın dilute aqueous solutions by O3+UV and H2O2+UV: a comparative study, Ozone: Science and Engineering, 12(1) 73-94. doi.org/10.1080/01919519008552456
• Kestioglu, K., Yonar, T., Kaplan Yonar, G. and Sen, M. (2008) Toxicity evaluation of raw, physico-chemically pre-treated and to Fenton’s oxidation applied textile and Organized Industrial Region (OIR) effluents on activated sludge, Fresenius Environmental Bulletin, 17, 969-977.
• Legrini, O., Oliveros, E. and Braun, A.M. (1993) Photochemical process for water treatment, Chemical Reviews, 93(2), 671-698.
• Malhotra, S., Pandit, M., Kapoor, J.C. and Tyagi, D.K. (2005) Photooxidation of cyanide in aqueous solution by the UV/H2O2 Process, Journal of Chemical Technology and Biotechnology, 80, 13-19. doi:10.1002/jctb.1127
• Manikandan, P., Palanisamy, P.N., Baskar, R., Sivakumar, P. and Sakthisharmila, P. (2016) Optimization of treatment efficiency of UV/H2O2 process on simulated textile industry wastewater, Desalination and Water Treatment, 57(56), 27169-27180. doi.org/10.1080/19443994.2016.1172983
• Meriç, S., Kaptan, D. and Ölmez, T. (2004) Color and COD removal from wastewater containing Reactive Black 5 using Fenton’s oxidation process, Chemosphere, 54, 435-441. doi:10.1016/j.chemosphere.2003.08.010
• Moraes, J.E.F., Quina, F.H., Nascimento, C.A.O., Silva, D.N. and Chiavone-Filho, O. (2004) Treatment of saline wastewater contaminated with hydrocarbons by the photo-fenton process, Environmental Science and Technology, 38,1183-1187. doi: 10.1021/es034217f
• Pareek, V.K., Brungs, M.P., Adesina, A.A. and Sharma, R. (2002) Artificial neural network modeling of a multiphase photodegradation system, Journal of Photochemistry and Photobiology A: Chemistry, 149,139-146. PII: S1010-6030(01)00640-2
• Perez, M., Torradesa, F., Domenech, X. and Peral, J. (2002) Fenton and photo-Fenton oxidation of textile effluents, Water Research, 36, 2703-2710. P II: S0043-1354(01) 00506 - 1
• Salari, D., Daneshvar, N., Aghazadeh, F. and Khataee, A.R. (2005) Application of artificial neural networks for modeling of the treatment of wastewater contaminated with methyl tert-butyl ether (MTBE) by UV/H2O2 Process, Journal of Hazardous Materials B, 125, 205-210. doi:10.1016/j.jhazmat.2005.05.030
• Skodic, L., Vajnhandl, S., Valh, J.V., Zeljko, T., Voncina, B. and Lobnik, A. (2017) Comparative study of reactive dyes oxidation by H2O2/UV, H2O2/UV/Fe2+ and H2O2/UV/Fe degrees processes, Ozone-Science and Engineering, 39(1), 14-23. doi.org/10.1080/01919512.2016.1229173
• Stegemann, J.A. and Buenfeld, N.R. (2002) Prediction of leachate pH for cement paste containing pure metal compounds, Journal of Hazardous Materials B, 90,169-188. PII: S0304-3894(01)00338-7
• Torrades, F., García-Montaño, J., García-Hortal, J.A., Domènech, X. and Peral, J. (2004) Decolorization and mineralization of commercial reactive dyes under solar light assisted photo-Fenton conditions, Solar Energy, 77, 573-581. doi:10.1016/j.solener.2004.05.004
• Vandevivere, P.C., Bianchi, R. and Verstraete, W. (1998) Treatment and reuse of wastewater from the textile wetprocessing industry: review of emerging technologies, Journal of Chemical Technology and Biotechnolgy, 72, 289-302.
• Willmott, N., Guthrie, J. and Nelson, G. (1998) The biotechnology approach to colour removal from textile effluent, Journal of the Society of Dyers and Colourists, 114, 38-41. doi: 10.1111/j.1478-4408.1998.tb01943.x
• Yang, Y., Wyatt, D.T.I. and Bahorshky, M. (1998) Decolorization of dyes using UV/H2O2 photochemical oxidation, Textile Chemists and Colorists, 30, 27-35.
• Yonar, T., Kaplan Yonar, G., Kestioglu, K. and Azbar, N. (2005) Decolorisation of textile effluent using homogeneous photochemical oxidation processes, Coloration Technology, 121, 258-264. doi: 10.1111/j.1478-4408.2005.tb00283.x
• Yonar, T. and Yalili Kilic, M. (2014) Chemical oxygen demand and color removal from textile wastewater by UV/H2O2 using artificial neural networks, Water Environment Research, 86(11), 2159-2165. doi:10.2175/106143014X14062131178277
• Zuorro, A. and Lavecchia, R. (2014) Evaluation of UV/H2O2 advanced oxidation process (AOP) for the degradation of diazo dye Reactive Green 19 in aqueous solution, Desalination and Water Treatment, 52(7-9), 1571-1577. doi.org/10.1080/19443994.2013.787553