Ozonlama ile çeşitli model tekstil boyalarından KOİ ve TOK giderimi: Box-Behnken yaklaşımı

Öz

Bu çalışmada bir ileri oksidasyon süreci olan ozonlama kullanılarak çeşitli sentetik atık sularından KOİ ve TOK giderimleri incelenmiştir. Deneylerin planlanmasında bir tür cevap yüzey metodu olan Box Behnken tasarımından (BBT) yararlanılmıştır. İşletme parametreleri olarak ozon dozu (OD, mg/L), reaksiyon süresi (RS, dk) ve başlangıç boya konsantrasyonu (BBK, mg/L) belirlenmiştir. %90’ın üzerinde KOİ ve %80’in üzerinde TOK giderimi, ozonlamanın sentetik atık suların arıtımında etkili bir süreç tipi olduğunu göstermiştir. Son olarak çoklu doğrusal olmayan regresyon (ÇDOR) ile modelleme, ilaveten optimizasyon ile validasyon çalışmaları gerçekleştirilmiştir. Türetilen ÇDOR modellerinin yanıt değişkenlerini tahmin edebilme gücü %99 olarak belirlenmiştir. 24 mg/L OD, 40 dk RS ve 10 mg/L BBK şartları BBT-optimize işletme şartları olarak belirlenmiştir. Bu şartlarda tüm sentetik atık sulardan yaklaşık %95 KOİ ve %85 TOK giderimi öngörülmüştür. Optimize şartlardaki validasyon deneylerinde elde edilen sonuçlar bu tahminsel değerleri doğrulamıştır. Tahminsel ve deneysel sonuçlar arasındaki büyük uyum BBT’nin optimizasyondaki doğruluğunu ve başarısını ortaya koymuştur.

Anahtar Kelimeler

• Tekstil boyaları,Ozonlama,CYM,Ampirik modelleme,Optimizasyon

Removal of COD and TOC from various model textile dyes by ozonation: Box-Behnken approach

Abstract

In this study, the removal of COD and TOC from various synthetic effluents was investigated using ozonation as an advanced oxidation process. Box Behnken design (BBD) as a kind of response surface methodology was used in planning the experiments. Ozone dose (OD, mg/L), reaction time (RT, min), and initial dye concentration (IDC, mg/L) were determined as the operating parameters. Removal of COD over 90% and TOC over 80% showed that ozonation was an effective process type in the treatment of synthetic effluents. Finally, modeling by multiple non-linear regression (MNLR), additionally optimization and validation studies were performed. The power of the proposed MNLR models for predicting response variables was determined as 99%. OD of 24 mg/L, RS of 40 min, and IDC of 10 mg/L were determined as BBD-optimized operating conditions. Under these conditions, COD of 95% and TOC of 85% removal from all synthetic effluents were approximately predicted. The results obtained from the validation experiments that were performed at optimized condition confirmed these predicted values. Good accordance between predictive and experimental results demonstrated the accuracy and success of BBT in optimization.

Keywords

• Textile dyes,Ozonation,RSM,Empirical modeling,Optimization

Kaynakça

1. Thalmann B, von Gunten U, Kaegi R. “Ozonation of municipal wastewater effluent containing metal sulfides and metal complexes: Kinetic and mechanisms”. Water Research, 134, 170-180, 2018.
2. Bourgin M, Beck B, Boehler M, Borowskaa E, Fleiner J, Rebekk ES, Ursvon T, Hansrue H, Christ S, McArdell S. “Evaluation of a full-scale wastewater treatment plant upgraded with ozonation and biological post-treatments: Abatement of micropollutants, formation of transformation products and oxidation by-products”. Water Research, 129, 486-498, 2018.
3. Qi W, Zhang H, Hu C, Liu H, Qu J. “Effect of ozonation on the characteristics of effluent organic matter fractions and subsequent associations with disinfection by-products formation”. Science of The Total Environment, 610-611, 1057-1064, 2018.
4. Chys M, Demeestere K, Ingabire AS, Dries J, Van Langenhove H, Van Hulle SH. “Enhanced treatment of secondary municipal wastewater effluent: comparing (biological) filtration and ozonation in view of micropollutant removal, unselective effluent toxicity, and the potential for real-time control”. Water Science & Technology, 76(1), 236-246, 2017.
5. Fang F, Han H. “Effect of Catalytic Ozonation Coupling with Activated Carbon Adsorption on Organic Compounds Removal Treating RO Concentrate from Coal Gasification Wastewater”. Ozone: Science & Engineering. 40(4), 275–283, 2018.
6. Jin X, Jin P, Hou R, Yang L, Wang XC. “Enhanced WWTP effluent organic matter removal in hybrid ozonation-coagulation (HOC) process catalyzed by Al-based coagulant”. Journal of Hazardous Materials. 327, 216-224, 2017.
7. Wang J, Chen G, Liu F, Song X, Zou G. “Combined ozonation and aquatic macrophyte (Vallisneria natans) treatment of piggery effluent: Water matrix and antioxidant responses”. Ecological Engineering, 102, 39-45, 2017.
8. Wu C, Zhou Y, Wang Y, Gou M. “Innovative combination of Fe2+-BAF and ozonation for enhancing phosphorus and organic micropollutants removal treating petrochemical secondary effluent”. Journal of Hazardous Materials. 323(B), 654-662, 2017.

9. El-taliawy H, Ekbal M, Nilssom F, Nagman M, Paxeus N, Jonsson K, Cimbritz M, Jansen JC, Bester K. “Ozonation efficiency in removing organic micro pollutants from wastewater with respect to hydraulic loading rates and different wastewaters”. Chemical Engieering Journal, 325, 310-321, 2017.
10. Wang H, Park M, Liang H, Shimin W, Lopez IJ, Ji W, Li G, Snyder SA. “Reducing ultrafiltration membrane fouling during potable water reuse using pre-ozonation”. Water Research. 125, 42-51, 2017.
11. Biglari H, Afsharnia M, Alipour V, Khosravi R, Sharafi K, Mahvi AH. “A review and investigation of the effect of nanophotocatalytic ozonation process for phenolic compound removal from real effluent of pulp and paper industry”. Environmental Science and Pollution Research. 24(4), 4105-4116, 2017.
12. Zhu H, Han Y, Ma W, Han H, Ma W. “Removal of selected nitrogenous heterocyclic compounds in biologically pretreated coal gasification wastewater (BPCGW) using the catalytic ozonation process combined with the two-stage membrane bioreactor (MBR)”. Bioresource Technology, 245(a), 786-793, 2017.
13. Yao W, Qu Q, von Gunten U, Chen C, Yu G, Wang Y. “Comparison of methylisoborneol and geosmin abatement in surface water by conventional ozonation and an electro-peroxone process”. Water Research, 108, 373-382, 2017.
14. Arslan A, Topkaya E, Bingol D, Veli S. “Removal of anionic surfactant sodium dodecyl sulfate from aqueous solutions by O3/UV/H2O2 advanced oxidation process: Process optimization with response surface methodology approach”. Sustainable Environment Research, 28(2), 65-71, 2018.
15. Mourabet M, El Rhilassi A, El Boujaady H, Bennani-Ziatni M, Taitai A. “Use of response surface methodology for optimization of fluoride adsorption in an aqueous solution by Brushite”. Arabian Journal of Chemistry, 10(2), 3292-3302, 2017.
16. Sun J, Wang J, Zhang R, Wei D, Long Q, Huang Y, Xie X, Li A. “Comparison of different advanced treatment processes in removing endocrine disruption effects from municipal wastewater secondary effluent”. Chemosphere, 168, 1-9, 2017.
17. Buyukada M. “Modeling of decolorization of synthetic reactive dyestuff solutions with response surface methodology by a rapid and efficient process of ultrasound-assisted ozone oxidation”, Desalination and Water Treatment, 57(32), 14973-14985, 2016.
18. Buyukada M. “Prediction of Photocatalytic Degradation and Mineralization Efficiencies of Basic Blue 3 Using TiO2 by Nonlinear Modeling Based on Box–Behnken Design”, Arabian Journal for Science and Engineering, 41(7), 2631-2646, 2016.
19. Chys M, Audenaert WTM, Vangrinsven J, Bauwens M, Mortier STFC, Van Langenhove H, Nopens I, Demeestere K, Van Hulle SWH. “Dynamic validation of online applied and surrogate-based models for tertiary ozonation on pilot-scale”. Chemosphere, 196, 494-501, 2018.
20. Bai Z, Wang J, Yang Q. “Advanced treatment of municipal secondary effluent by catalytic ozonation using Fe3O4-CeO2/MWCNTs as efficient catalyst”. Environmental Science and Pollution Research. 24(10), 9337-9349, 2017.
21. Wang D, Wang W, Liu T, Shan M, Li G, Arowo M, Shao. “Ozonation of polyoxymethylene effluent in a rotating packed bed”. Environmental Technology, 40(7), 807-812, 2018.
22. Wang X, Wang J, Li K, Zhang H, Yang M. “Molecular characterization of effluent organic matter in secondary effluent and reclaimed water: Comparison to natural organic matter in source water”. Journal of Environmental Sciences, 63, 140-146, 2018.
23. Wu D, Zhang R, Lu G, Lin Q, Liu F, Li Y. “Degradation of Octocrylene Using Combined Ozonation and Electrolysis Process: Optimization by Response Surface Methodology”. Clean Soil Air Water, 45(2), 1-9, 2017.
24. Li J, Liu Q, Ji QQ, Lai B. “Degradation of p-nitrophenol (PNP) in aqueous solution by Fe0-PM-PS system through response surface methodology (RSM)”. Applied Catalysis B: Environmental, 200, 633-646, 2017.
25. Ab Ghani Z, Yusoff MS, Zaman NQ, Zamri MFMA, Andas J. “Optimization of preparation conditions for activated carbon from banana pseudo-stem using response surface methodology on removal of color and COD from landfill leachate”. Waste Management, 62, 177-187, 2017.
26. Ayed L, Bekir K, Achour S, Cheref A, Bakhrouf A. “Exploring bioaugmentation strategies for azo dye CI Reactive Violet 5 decolourization using bacterial mixture: dye response surface methodology”. Water and Environment Journal, 31(1), 80-89, 2017.
27. Bhowmik M, Deb K, Debnath A, Saha B. “Mixed phase Fe2O3/Mn3O4 magnetic nanocomposite for enhanced adsorption of methyl orange dye: Neural network modeling and response surface methodology optimization”. Applied Organic Chemistry, 32(3), 1-17, 2018.
28. Toolabi A, Malakootian M, Ghaneian MT, Esrafili A, Ehrampoush ME, Tabatabaei M, Shahi MA. “Optimization of photochemical decomposition acetamiprid pesticide from aqueous solutions and effluent toxicity assessment by Pseudomonas aeruginosa BCRC using response surface methodology”. AMB Express, 7, 159-171, 2017.
29. Behin J, Farhadian N. “Response surface methodology for ozonation of trifluralin using advanced oxidation processes in an airlift photoreactor”. Applied Water Science, 7(6), 3103-3112, 2017.