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Tytuł artykułu

Modeling of Organic Substances and Ammonia Nitrogen Removal in Vertical Flow Constructed Wetlands

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The aim of the research was to determine the possibility of using and adapting regression models for a description of constructed wetland systems treating reject water from aerobic sewage sludge stabilization. The P-k-C* model was investigated along with related models. The research was carried out using reject water from aerobic sewage sludge stabilization in dairy wastewater treatment plant (WWTP) belonging to Mlekovita in Wysokie Mazowieckie. The main components of the research installation were two vertical flow constructed wetland beds with passive aeration operating at 0.1 m/d hydraulic load. The following parameters were used for modeling: BOD5, COD, N-NH4+ and temperature. Air temperature was also monitored.
Rocznik
Strony
231--237
Opis fizyczny
Bibliogr. 22 poz., rys., tab.
Twórcy
  • Faculty of Building and Environmental Sciences, Bialystok University of Technology, ul. Wiejska 45E, 15-351 Białystok, Poland
  • Faculty of Building and Environmental Sciences, Bialystok University of Technology, ul. Wiejska 45E, 15-351 Białystok, Poland
Bibliografia
  • 1. Akaike H. 1974. A new look at the statistical model identification, IEEE Transactions on Automatic Control, 19(6), 716–723. DOI:10,1109/TAC,1974,1100705, MR 0423716.
  • 2. American Public Health Association (APHA) 2005. Standard Methods for Examination of Water and Wastewater. 21st edition. American Public Health Association. Washington.
  • 3. Burnham K.P., Anderson D.R. 2002. Model selection and multimodel inference: a practical information-theoretic approach, 2nd ed., Springer, New York.
  • 4. Dąbrowski W., Karolinczak B., Boruszko D., Malinowski P. 2019. Modeling of Pollutants Removal in Subsur face Vertical Flow and Horizontal Flow Constructe d Wetlands, Water 11(1), 180. DOI: 10.3390/ w11010180.
  • 5. Fux Ch., Boehler M., Huber P., Brunner I, Siegrist H. 2002. Biological treatment of ammonium-rich wastewater by partial nitritation and subsequent anaerobic ammonium oxidation (anammox) in a pilot plant, Journal of Biotechnology, 99, 293–306.
  • 6. FuxCh., Valten S., Carozzi V., Solley D, Keller J. 2006. Efficient and stable nitrification and denitrification of ammonium-rich sludge dewatering liquor using SBR with continuous loading, Water Research, 40(14), 2765–2775.
  • 7. Gajewska M., Obarska-Pempkowiak H. 2011. The role of SSVF and SSHF beds in concentrated wastewater treatment, design recommendation. Water & Science and Technology 64(2), 431–439. DOI 10.2166/wst2011.619
  • 8. Janus H.M., van der Roest H.F. 1997. Do not reject the idea of treating reject water. Water Science and Technology, 35(10), 27–34.
  • 9. Kadlec R.H. 2000. The inadequacy of first-order treatment wetland models. Ecological Engineering 15 (1–2), 105–119
  • 10. Kadlec R.H., Wallace S.D. Treatment Wetlands, 2nd ed.; CRC Press: Boca Raton, FL, USA, 2009.
  • 11. Kadlec R.H., Reddy K.R. 2001. Temperature effects in treatment wetlands. Water Environ. Res., 73, 543–557.
  • 12. Karolinczak B., Dąbrowski W. 2017. Effectiveness of septage pre-treatment in subsurface vertical flow constructed wetlands, Water Sci. Technol. 76(9), 2544–2553. DOI: 10.2166/wst.2017.398.
  • 13. Mazerolle M.J. 2019. AICcmodavg: Model selection and multimodel inference based on (Q)AIC(c). R package version 2.2–2. URL https://cran.r-project.org/package=AICcmodavg
  • 14. Merriman L.S., Hathaway J.M., Burchell M.R., Hunt W.F. 2017. Adapting the Relaxed Tanks-inSeries Model for Stormwater Wetland Water Quality Performance. Water 9(9), 691. DOI 10.3390/w9090691
  • 15. Nash J.C. 1990. Compact Numerical Methods for Computers, Linear Algebra and Function Minimisation, 2nd ed., Adam Hilger, Bristol.
  • 16. Nash J.C., Murdoch D. 2019. nlsr: Functions for Nonlinear Least Squares Solutions. R package version 2019.9.7, URL https://CRAN.R-project.org/package=nlsr
  • 17. Obarska-Pempkowiak, H., Kolecka K., M. Gajewska E., Wojciechowska E., Ostojski A. 2015. A Sustainable Sewage Management in Rural Areas. Annual Set of Environment Protection, 17(1), 585–602.
  • 18. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/
  • 19. Regulations of the Minister of Environment from 18th of November 2014 on conditions to be met for disposal of treated sewage into water and soil and concerning substances harmful to the environment (Dz.U. 2014. no. 1800).
  • 20. Sugiura N. 1978. Further analysis of the data by Akaike’s information criterion and the finite corrections. Communications in Statistics: Theory and Methods, A7, 13–26.
  • 21. Wiater J., Boruszko D. Dąbrowski W., Żyłka R., Antonowicz S. 2019. Evaluation of sustainable development of dairy industry in Poland. Economics and Environment 2(69), 132–144, DOI 10.34659/2019/2/26.
  • 22. Wojciechowska E., Waara S. 2011. Distribution and removal efficiency of heavy metals in two constructed wetlands treating landfill leachate. Water & Science and Technology 64(8), 1597–1605. DOI 10.2166/wst.2011.680.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fbe86e15-63c2-461d-b05e-cfb03ec40568
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