ارزیابی عملکرد راکتور ناپیوسته متوالی بستر-متحرک در تصفیه پساب دامداری با فرآیند نیتریفیکاسیون-دنیتریفیکاسیون به طور همزمان

نوع مقاله: مقاله اصلی

نویسندگان

1 مهندسی شیمی/دانشکده مهندسی/ دانشگاه فردوسی مشهد/ایران

2 گروه مهندسی شیمی، دانشکده مهندسی، دانشگاه فردوسی مشهد، مشهد، ایران

10.22034/jewe.2020.205253.1334

چکیده

در این مطالعه، عملکرد راکتور ناپیوسته متوالی بستر متحرک با استراتژی هوادهی تناوبی طی فرآیند شوره­سازی-شوره­زدایی به‌طور هم‌زمان (SND) برای تصفیه فاضلاب دامداری ارزیابی شد. آنالیز و طراحی آماری برای بهینه­سازی متغیرهای مستقل مانند زمان‌ماند لجن، دما و سرعت هوادهی با استفاده از روش سطح پاسخ و طراحی باکس-بنکن انجام شد. اثر متغیرها بر روی حذف اکسیژن موردنیاز شیمیایی و راندمان ESND موردبررسی قرار گرفت. از آنالیز واریانس برای تأیید مناسب و مهم بودن مدل­های درجه دوم استفاده شد. بر اساس نتایج، ضریب رگرسیونی بسیار بالا بین متغیرها و پاسخ­ها که برای حذف COD و راندمان فرآیند SND به­ترتیب 9788/0 =  R2و 9600/0 = R2 بودند، نشان از برآورد مناسب داده­های آزمایش به­وسیله مدل­های رگرسیونی چندجمله­ای می­باشد.زمان‌ماند لجنطولانی اثر منفی دمای پایین را کاسته ولی حذف COD و ESND در دمای بالا را کاهش می­داد.علاوه بر این، سرعت هوادهی مناسب عاملی حیاتی برای فرآیند SND بود تا تعادل بین فرآیندهای شوره­سازی و شوره­زدایی ایجاد شود. در شرایط بهینه به‌دست‌آمده از مدل­ها، در زمان‌ماند لجن 20 روز، دمای°C16/19و سرعت هوادهی m3/h 1/0 حذف COD وESNDبه­ترتیب 9/92% و 3/91% نتیجه شدند. مشخص شد که شرایط بی­هوازی/هوازی تناوبی باحالت پر کردن مرحله­ای یک استراتژی مؤثر، اقتصادی و دوستدار محیط‌زیست جهت تصفیه بیولوژیکی فاضلاب دامداری در راکتور ناپیوسته متوالی بستر متحرک می­باشد.

کلیدواژه‌ها


عنوان مقاله [English]

Performance evaluation of moving-bed Sequencing batch reactor for livestock wastewater treatment by SND process

نویسندگان [English]

  • Seyed Mohammad Ali Masoudi 1
  • Javad Sargolzaei 2
  • Fatemeh Sabeti Dehkordi 2
  • Vahid Zeynali 2
1 Department of Chemical Engineering/Faculty of Engineering/Ferdowsi University of Mashhad/Iran
2 Department of Chemical Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
چکیده [English]

In this study, the performance of moving-bed sequencing batch reactor with intermittent aeration strategy (IA-MBSBR) was evaluated for treatment of livestock wastewater in simultaneous nitrification-denitrification process. The statistical design and analysis were employed to optimize independent variables such as sludge retention time (SRT), temperature, and aeration rate using response surface methodology (RSM) through Box-Behnken design (BBD). The effect of variables was investigated on chemical oxygen demand (COD) removal and SND efficiency ( ). The analysis of variance (ANOVA) was conducted to confirm the suitability and significance of the quadratic models. Based on the results, a very high regression coefficient was achieved between the variables and the responses: COD removal and SND efficiency were R2 = 0.9788 and R2 = 0.9600, respectively indicating an excellent evaluation of experimental data by polynomial regression model. Long SRT reduced the negative effect of low temperature, but lowered COD removal and ESNDin high temperature. Further, appropriate aeration rate was vital for the SND to reach equilibrium between the nitrification and denitrification processes. The optimal conditions obtained from the models were SRT= 20 d, temperature = 19.16 °C and aeration rate= 0.1 , which results in COD removal and ESND of 92.9 and 91.3%, respectively. It was found that an alternating anaerobic/aerobic conditions with step-filling mode is an effective, economic, and environmentally-friendly strategy for the biological treatment of livestock wastewater in the moving-bed sequencing batch reactor.

کلیدواژه‌ها [English]

  • COD removal
  • Intermittent aeration
  • Livestock wastewater
  • Moving-bed reactor
  • Simultaneous nitrification and denitrification
Al-Rekabi W. S., Qiang H. and Qiang W. W. (2007). Review on sequencing batch reactors. Pak. J. Nutr., 6(1), 11–19.

APHA. (2005). Standard Methods for the Examination of Water and Wastewater. 21st Edition, American Public Health Association/American Water Works Association/Water Environment Federation, Washington DC.

Askari M., Rezaei B., Shoushtari A. M., Noorpanah P., Abdouss M. and Ghani M. (2014). Fabrication of high performance chitosan/polyvinyl alcohol nanofibrous mat with controlled morphology and optimised diameter. Can. J. Chem. Eng. 92(6), 1008–1015.

Azimi S. C., Shirini F. and Pendashteh A. (2019). Evaluation of COD and turbidity removal from woodchips wastewater using biologically sequenced batch reactor. Process Saf. Environ. Prot. 128, 211-227.

Bae S. and Shoda M. (2005). Statistical optimization of culture conditions for bacterial cellulose production using Box Behnken design. Biotechnol. Bioeng., 90(1), 20–28.

Ferreira F. L. A. Lucas J. D. and Amaral L. A. D. (2003). Partial characterization of the polluting load of swine wastewater treated with an integrated biodigestion system. Bioresour. Technol., 90(2), 101–108.

Gönen S. O., Taygun M. E. and Küçükbayrak S. (2016). Evaluation of the factors influencing the resultant diameter of the electrospun gelatin/sodium alginate nanofibers via Box–Behnken design. Mater. Sci. Eng. 58, 709–723.

Holakoo L., Nakhla G., Bassi A. S. and Yanful E. K. (2007). Long term performance of MBR for biological nitrogen removal from synthetic municipal wastewater. Chemosphere, 66(5), 849–857.

Juteau P., Tremblay D., Ould-Moulaye C. B., Guy Bisaillon J. and Beaudet R. (2004). Swine waste treatment by self heating aerobic thermophilic bioreactors. Water Res. 38(3), 539–546.

Karkman A., Mattila K., Tamminen M. and Virta M. (2011). Cold temperature decreases bacterial species richness in nitrogen-removing bioreactors treating inorganic mine waters. Biotechnol. Bioeng., 108(12), 2876–2883.

Keller J., Subramaniam K., Gosswein J. and Greenfield P. F. (1997). Nutrient removal from industrial wastewater using single tank sequencing batch reactor. Water Sci. Technol., 35(6), 137–144.

. Konwarh R., Misra M., Mohanty A. K. and Karak N. (2013). Diameter-tuning of electrospun cellulose acetate fibers: a Box–Behnken design (BBD) study. Carbohydr. Polym. 92(2), 1100-1106

Kulkarni P. (2013). Nitrophenol removal by simultaneous nitrification denitrification (SND) using T.pantotropha in sequencing batch reactors (SBR). Bioresour. Technol. 128, 273–280.

Lee H. and Shoda M. (2008). Removal of COD and color from livestock wastewater by the Fenton method. J. Hazard. Mat., 153(3), 1314–1319.

Li J., Healy M. G., Zhan X., Norton D. and Rodgers M. (2008). Effect of aeration rate on nutrient removal from slaughterhouse wastewater in intermittently aerated sequencing batch reactors. Water Air Soil Pollut., 192(1-4), 251–261.

Lim J. W., Seng C. E., Lim P. E., Ng S. L. and Ahmad Sujari A. N. (2011). Nitrogen removal in moving bed sequencing batch reactor using polyurethane foam cubes of various sizes as carrier materials. Bioresour. Technol., 102(21), 9876–9883.

Masoudi S. M. A., Hedayati Moghadam A., Sargolzaei J., Darroudi A. and Zeynali V. (2018). Investigation and optimization of the SND–SBR system for organic matter and ammonium nitrogen removal using the central composite design. Environ. Prog. Sustain. Energy, 37(5), 1638-1646.

Metcalf and Eddy. (2003). Wastewater Engineering: Treatment and Reuse. McGraw-Hill, New York.

Mojiri A., Ohashi A., Ozaki N. and Kindaichi T. (2018). Pollutants removal from synthetic wastewater by the combined electrochemical, adsorption and sequencing batch reactor (SBR). Ecotoxicol. Environ. Saf., 161, 137-144.

Murat Hocaoglu S., Insel G., Ubay Cokgor E. and Orhon D. (2011). Effect of low dissolved oxygen on simultaneous nitrification and denitrification in a membrane bioreactor treating black water. Bioresour. Technol., 102(6), 4333–4340.

Myer R. H. and Montogomery D. C. (2002). Response surface methodology: process and product optimization using designed experiment. John Wiley and Sons, New York.

Neczaj F., Kacprzak M., Kamizela T., Lach J. and Okoniewska F. (2008). Sequencing batch reactor system for the co-treatment of landfill leachate and dairy wastewater. Desal., 222(1-3), 404–409.

Othman I., Anuar A., Ujang Z., Rosman N. H., Harun H. and Chelliapan S. (2013). Livestock wastewater treatment using aerobic granular sludge. Bioresour. Technol., 133, 630–634.

Pochana K. and Keller J. (1999). Study of factors affecting simultaneous nitrification and denitrification (SND). Water Sci. Technol. 39(6), 61–68.

Ros M. and Vrtovsek J. (2008). Industrial and municipal wastewater treatment in the sequencing batch reactor. Kem. Ind., 57(10), 459–463.

Singh M. and Srivastava R. K. (2010). Sequencing batch reactor technology for biological wastewater treatment: a review. Asia-Pac. J. Chem. Eng., 6(1), 3-13.

Uygur A. and Kargi F. (2004). Biologicaol nutrient removal from pre-treated landfill leachate in a sequencing batch reactor. J. Environ. Manage., 71(1), 9–14.

Wang J. and Wan W. (2009). Experimental design methods for fermentative hydrogen production: a review. Int. J. Hydrogen Energy, 34(1), 235–244.

Yang P. Y., Chen H. J. and Kim S. J. (2003). Integrating entrapped mixed microbial cell (EMMC) process for biological removal of carbon and nitrogen from dilute swine wastewater. Bioresour. Technol., 86(3), 245–252.

Yang S., Yang F., Fu Z., Wang T. and Lei R. (2010). Simultaneous nitrogen and phosphorus removal by a novel sequencing batch moving bed membrane bioreactor for wastewater treatment. J. Hazard. Mat., 175(1-3), 551–557.

Zeynali V., Sargolzaei J. and Hedayati Moghadam A. (2016). Optimization of several hydrodynamic and non-hydrodynamic operating parameters in treatment of synthetic wastewater containing wheat starch in a sequencing batch reactor (SBR) using response surface methodology. Desalin. Water Treat., 57(51), 24240-24256.

Zeynali V., Sargolzaei J., Hedayati Moghadam A. and Masoudi S. M. A. (2017). Implication of statistical design approach methodology for optimization of COD removal, effluent quality, and biosludge settling properties in aerobic bioreactors. Environ. Prog. Sustain. Energy, 36(5), 1428-1438.

Zhang L., Zheng P., Tang C. and Jin R. (2008). Anaerobic ammonium oxidation for treatment of ammonium-rich wastewaters. J. Zhejiang Univ. Sci. B, 9(5), 410-426.

Zhou X., Han Y. and Guo X. (2015). Identification and evaluation of SND in a full-scale multi-channel oxidation ditch system under different aeration modes. Chem. Eng. J., 259, 715–723.

Ziabari M., Mottaghitalab V. and Haghi A. K. (2010). A new approach for optimization of electrospun nanofiber formation process. Korean J. Chem. Eng., 27(1), 340–354.