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Tytuł artykułu

Assessing the Feasibility of Recovering Water from Treated Municipal Wastewater

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The problem of recovering water from treated wastewater may concern an increasing number of countries, especially those with low water resources. After costly treatment processes, water taken from surface and underground intakes is used and then largely discharged to receivers in the form of treated wastewater. Advanced wastewater treatment methods ensure that the treated wastewater is characterized by very low physical and chemical pollution, sometimes better than the water quality in the receiving basin. The research was conducted under a cooperation agreement between Bialystok University of Technology and Bialystok Waterworks Ltd. The recovery of water from wastewater was one of the topics pursued.This paper analyzes the parameters of treated wastewater from the largest municipal wastewater treatment plant in the Podlaskie Province. The analysis of the treated wastewater composition was based on monitoring studies conducted by the company Bialystok Waterworks Ltd. between 2020 and 2023. The analysis concerned the basic parameters of wastewater, namely the content of organic matter and total suspended solids.This was due to the requirements for the recyclability of treated wastewater. Linear modeling was performed to determine if a sufficiently strong correlation was detected;otherwise output distribution characteristics were provided.In all cases, the output concentrations were far below the class A limits for irrigation in the whole research period.
Rocznik
Strony
119--130
Opis fizyczny
Bibliogr. 32 poz., rys., tab.
Twórcy
  • Faculty of Building and Environmental Sciences, Bialystok University of Technology, Wiejska 45E, 15-351 Bialystok, Poland
  • Faculty of Building and Environmental Sciences, Bialystok University of Technology, Wiejska 45E, 15-351 Bialystok, Poland
  • Department of Statistics and Medical Informatics, Medical University of Bialystok, 37 Szpitalna St., 15-295 Bialystok, Poland
Bibliografia
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  • 3. Breusch T.S., Pagan A.R. 1979. A Simple Test for Heteroscedasticity and Random Coefficient Variation. Econometrica 47, 1287–1294. https://doi.org/10.2307/1911963
  • 4. Carbajal-Morán H., Zárate-Quiñones R.H., Márquez-Camarena J.F. 2021. Gray water recovery system model by solar photocatalysis with TiO2 nanoparticles for crop irrigation. Journal of Ecological Engineering, 22(4). https://doi.org/10.12911/22998993/134034
  • 5. Dolganova I., Mikosch N., Berger M., Núñez M., Müller-Frank A., Finkbeiner M. 2019. The water footprint of european agricultural imports: hotspots in the context of water scarcity. Resources, 8(3), 141. https://doi.org/10.3390/resources8030141
  • 6. EU 2020/741; The European Parliament and the Council Regulation EU 2020/741, Minimum Requirements for Water Reuse. European Commission: Brussels, Belgium, 2020.
  • 7. Félix-López M., Ormaza-Murillo M., Álvarez-Santana C.,Banchon C. 2023. Exploring the impact of reclaimed water on latin america’s development. Journal of Ecological Engineering, 24(10), 157–173. https://doi.org/10.12911/22998993/169962
  • 8. Gaigall D. 2020. Rothman–Woodroofe symmetry test statistic revisited. Computational Statistics & Data Analysis, 142, 106837. https://doi.org/10.1016/j.csda.2019.106837
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  • 10. Hawrylik E. 2020. Methods used in disinfections of wastewater and sewage sludge–short review. Architecture, Civil Engineering, Environment, 13(2), 57–63. https://doi.org/10.21307/acee-2020-017
  • 11. Henze N., Zirkler B. 1990. A Class of Invariant Consistent Tests for Multivariate Normality. Communications in Statistics-Theory and Methods, 19(10): 3595–3618. https://doi.org/10.1080/03610929008830400
  • 12. Ignatowicz K. 2019. Analysis of COD fractions in raw wastewater flowing into small and large wastewater treatment plants. Journal of Ecological Engineering, 20(11), 197–201. https://doi.org/10.12911/22998993/114092
  • 13. Ivanović B., Milośević B., Obradović M. 2020. Symmetry: testing for symmetry of data and model residuals. https://CRAN.R-project.org/package=symmetry (accessed on 19 June 2021).
  • 14. Kanchanapiya P.,Tantisattayakul T. 2022. Wastewater reclamation trends in Thailand. Water Science & Technology, 86(11), 2878–2911. https://doi.org/10.2166/wst.2022.375
  • 15. Korkmaz S., Goksuluk D., Zararsiz G. 2014. MVN: An R Package for Assessing Multivariate Normality. The R Journal, 6(2),151–162.
  • 16. Myka-Raduj A.,Jóźwiakowski K. 2022. Changes in Water Consumption in the Educational-Museum Center of Poleski National Park. Journal of Ecological Engineering, 23(6). https://doi.org/10.12911/22998993/148136
  • 17. R Core Team 2023. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2023; Available online: https://www.R-project.org/ (accessed on 22 April 2023).
  • 18. Ramm K. 2020.Odzysk wody ze ścieków na cele rolnicze.Technologia Wody, 1(69), 56–59.
  • 19. Ramm K., Smol M. 2023. Water reuse – analysis of the possibility of using reclaimed water depending on the quality class in the european countries. Sustainability, 15(17), 12781. https://doi.org/10.3390/su151712781
  • 20. Regulation of the Minister of Maritime and Inland Waterway Economy from 12th July 2019 on substances that are particularly harmful to the aquatic environment and the conditions to be met for the introduction of sewage into water or soil and for the discharge of rainwater or snowmelt into water or into water facilities. Journal of Laws 2019 item 1311 (in Polish).
  • 21. Shapiro S.S.,Wilk M.B. 1965. An analysis of variance test for normality (complete samples). Biometrika, 52(3/4), 591–611. https://doi.org/10.2307/2333709
  • 22. Silverman B.W. 2018. Density estimation for statistics and data analysis. Routledge. https://doi.org/10.1201/9781315140919
  • 23. Smith H.M.. Brouwer S., Jeffrey, P., Frijns J. 2018. Public responses to water reuse – understanding the evidence. Journal of Environmental Management 207, 43–50. https://doi.org/10.1016/j.jenvman.2017.11.021
  • 24. Smol M., Szołdrowska D. 2021. Model gospodarki o obiegu zamkniętym (GOZ) w gospodarce wodno-ściekowej w Polsce. Strategie Wdrażania Zielonego Ładu- Część 1 (pp. 6-19). Instytut Gospodarki Surowcami Mineralnymi i Energią PAN.
  • 25. Spearman C. 1904. The proof and measurement of association between two things. American Journal of Psychology, 15 (1), 72–101. DOI:10.2307/1412159.JSTOR 1412159.
  • 26. Sturges H.A. 1926. The choice of a class interval. Journal of the American statistical association,21(153), 65–66. URL: http://www.jstor.org/stable/2965501
  • 27. Tzanakakis V.A., Capodaglio A.G., Angelakis A.N. 2023. Insights into global water reuse opportunities. Sustainability, 15, 13007. https://doi.org/10.3390/su151713007
  • 28. Ungureanu N., VlădutV., Voicu G. 2020. Water scarcity and wastewater reuse in crop irrigation. Sustainability 12(21), 9055. https://doi.org/10.3390/su12219055
  • 29. Voulvoulis N. 2018. Water reuse from a circular economy perspective and potential risks from an unregulated approach. Current Opinion in Environmental Science & Health, 2, 32–45. https://doi.org/10.1016/j.coesh.2018.01.005
  • 30. Wei T.,Simko V. 2021. R package ‘corrplot’: Visualization of a Correlation Matrix (Version 0.92). URL:https://github.com/taiyun/corrplot
  • 31. Zeileis A., Hothorn T. 2002. Diagnostic checking in regression relationships. R News 2(3), 7-10.URL https://CRAN.R-project.org/doc/Rnews/
  • 32. Zuchowicki A.W., Gawin R. 2013. Structure of water consumption in single-family buildings. Rocznik Ochrona Środowiska, 15, 924–929.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-21322397-031b-4f9a-9271-9c65067f7f80
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