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Tytuł artykułu

Investigation of filtration capacity of surface wastewater filters by mathematical modelling

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
As the urbanisation level increases, due to intensification of car traffic and increased areas of impermeable surfaces, pollution of surface wastewater and a negative impact on water bodies are increasing. Due to the increasing pollution of surface water bodies, the eutrophication process is taking place intensively. One of the technologies of surface wastewater treatment allowing reduction in the amounts of suspended solids (SS), heavy metals and other pollutants is surface wastewater filters. Filters with different fillers have been designed for the treatment of principal surface wastewater pollutants: suspended solids, heavy metals (zinc, cadmium, copper, lead), BOD5, total carbon and nitrogen. The Kriging method was adapted to test the efficiency of filters filled with construction waste and wood waste-derived biochar using distance matrices. The method developed makes it possible to model the characteristics of filters in relation to different fillers, using experimental results. The mathematical model is suitable for other filtrate characteristics, not only the ratio of fillers, but also the length of the filter life, its durability calculations, which allows optimizing filter cleaning efficiency up to 96.93 %.
Rocznik
Strony
241--255
Opis fizyczny
Bibliogr. 28 poz., rys., tab.
Twórcy
  • Vilnius Gediminas Technical University, Saulėtekio 11, 10221 Vilnius, Lithuania
  • Vilnius Gediminas Technical University, Saulėtekio 11, 10221 Vilnius, Lithuania
  • University of Applied Sciences, J. Jasinskio 15. LT-01111, Vilnius, Lithuania
  • Vilnius Gediminas Technical University, Saulėtekio 11, 10221 Vilnius, Lithuania
Bibliografia
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  • [14] Niec J, Spychala M, Zawadzki P. New approach to modelling of sand filter clogging by septic tank effluent, J Ecol Eng. 2016;17(2):97-107. DOI 10.12911/22998993/62296.
  • [15] Pozniak N, Sakalauskas L, Saltyte L. Kriging Model with Fractional Euclidean Distance Matrices. Informatica. 2019;30(2):367-90. Available from: https://content.iospress.com/articles/informatica/inf1222.
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  • [18] Beck DA, Johnson GR, Spolek GA. Amending greenroof soil with biochar to affect runoff water quantity and quality. Environ Pollut. 2011;159:2111-8. DOI: 10.1016/j.envpol.2011.01.022.
  • [19] Hina K. Application of biochar technologies to wastewater treatment [PhD]. New Zealand: Massey University; 2013. Available from: https://mro.massey.ac.nz/handle/10179/4288.
  • [20] Khare P, Dilshad U, Rout PK, Yadav V, Jain S. Plant refuses driven biochar: Application as metal adsorbent from acidic solutions. Arab J Chem. 2013;10:S3054-63. DOI: 10.1016/j.arabjc.2013.11.047.
  • [21] Regmi P, Moscoso JLG, Kumar S, Cao X, Mao J, Schafran G. Removal of copper and cadmium from aqueous solution using switchgrass biochar produced via hydrothermal carbonization process. J Environ Manage. 2012;106:61-9. DOI: 10.1016/j.jenvman.2012.04.047.
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  • [25] Jones DR. A taxonomy of global optimization methods based on response surfaces. J Global Optimization. 2001;21(4):345-83. DOI: 10.1023/A:1012771025575.
  • [26] Carpio R, Giordano RC, Secchi A. Enhanced surrogate assisted global optimization algorithm based on maximizing probability of improvement. Computer Aided Chem Eng. 2017;40:2065-70. DOI: 10.1016/B978-0-444-63965-3.50346-9.
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Uwagi
PL
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-108665a0-fd69-4e64-a908-343320d0fd48
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