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Abstrakty
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 %.
Czasopismo
Rocznik
Tom
Strony
241--255
Opis fizyczny
Bibliogr. 28 poz., rys., tab.
Twórcy
autor
- Vilnius Gediminas Technical University, Saulėtekio 11, 10221 Vilnius, Lithuania
autor
- Vilnius Gediminas Technical University, Saulėtekio 11, 10221 Vilnius, Lithuania
autor
- University of Applied Sciences, J. Jasinskio 15. LT-01111, Vilnius, Lithuania
autor
- Vilnius Gediminas Technical University, Saulėtekio 11, 10221 Vilnius, Lithuania
Bibliografia
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- [5] Ambrose RF, Winfrey BK. Comparison of stormwater biofiltration systems in Southeast Australia and Southern California. WIREs Water. 2015;2(2):131-46. DOI: 10.1002/wat2.1064.
- [6] Stormwater Program. Available from: http://www.epa.gov/npdes/npdes-stormwater-program.
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- [8] Garzón-Zúñiga MA, Tomasini-Ortíz AC, Moeller-Chavez G, Hornelas-Uribe Y, Buelna G, Mijaylova-Nacheva P. Enhanced pathogen removal in on-site biofiltration systems over organic filtration materials. Water Practice Technol. 2008;3(2): wpt2008053. DOI: 10.2166/wpt.2008.053.
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- [10] Lim HS, Lim W, Hu JY, Ziegler A, Ong SL. Comparison of filter media materials for heavy metal removal from urban stormwater runoff using biofiltration systems. J Environ Manage. 2015;147:24-33. DOI: 10.1016/j.jenvman.2014.04.042.
- [11] Morgenroth E, Arvin E, Vanrolleghem P. The use of mathematical models in teaching wastewater treatment engineering, Water Sci Technol. 2002;45(6):229-33. DOI: 10.2166/wst.2002.0110.
- [12] Novak M, Horvat P. Mathematical modelling and optimisation of a waste water treatment plant by combined oxygen electrode and biological waste water treatment model, Appl Mathematical Modell. 2012;36:3813-25. DOI: 10.1016/j.apm.2011.11.028.
- [13] Bomba A, Safonyk A. Mathematical modeling of aerobic wastewater treatment in porous medium. Zesz Nauk Wyższej Szkoły Informatyki. 2013;12(1):21-9. Available from: http://wsinf.edu.pl/assets/img/pdf/Zeszyty%20naukowe/vol.12/art02.pdf.
- [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.
- [16] Hu J, Chen G, Lo IHC. Selective removal of heavy metals from industrial wastewater using maghemite nanoparticles: Performance and mechanisms. J Environ Eng. 2006;132(7):709-15. DOI: 10.1061/(ASCE)0733-9372(2006)132:7(709).
- [17] Zhu Y, Murali S, Stoller MD, Ganesh KJ, Cai W, Ferreira PJ, et al. Carbon-based supercapacitors produced by activation of graphene. Science. 2011;332(6037):1537-41. DOI: 10.1126/science.1200770.
- [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.
- [22] Gnecco I, Berretta C, Lanza LG, La Barbera P. Storm water pollution in the urban environment of Genoa, Italy. Atmosph Res. 2005;77:60-73. DOI: 10.1016/j.atmosres.2004.10.017.
- [23] Schmidt HP. 55 uses of biochar. Ithaka J. 2012;1(1):286-9. Available from: https://www.terrapreta.bioenergylists.org/files/e082012-55-uses-of-bc.pdf.
- [24] ISO 3696:1987 - Water for analytical laboratory use. Specification and test methods (null water for analytical laboratory use - Specification and test methods). Available from: https://www.iso.org/standard/9169.html.
- [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.
- [27] Sakalauskas L. Locally Homogeneous and isotropic Gaussian fields in Kriging. Informatica. 2013;24(2):253-74. Available from: https://www.mii.lt/INFORMATICA/pdf/INFO904.pdf.
- [28] Pozniak N, Sakalauskas L. Fractional Euclidean distance matrices extrapolator for scattered data. JMD. 2017;2(47):56-61. DOI: 10.21277/jmd.v47i2.156.
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