Artificial neural network (ANN) approach for modeling of selected biogenic compounds in a mixture of treated municipal and dairy wastewater

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dc.contributor.authorStruk-Sokolowska J.
dc.contributor.authorOfman P.
dc.contributor.authorDemirel S.
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2019
dc.departmentNiğde ÖHÜ
dc.description11th Conference on Interdisciplinary Problems in Environmental Protection and Engineering, EKO-DOK 2019 -- 8 April 2019 through 10 April 2019 -- -- 148594
dc.description.abstractThis paper presents artificial neural network (ANN) model of wastewater treatment plant, which was used for average monthly concentrations of N-NH4+, N-NO3-, N-NO2-, total Kiejdahl nitrogen (TKN), PO43- and SO42- approximation. ANN model was developed for wastewater treatment plant located in Bystre, Poland which treats municipal wastewater with a share of dairy wastewater. The object was chosen because of the unique location, in the Great Mazury Lakes area and the need for its special environmental protection. Input layer of developed ANN model consisted of BOD, COD, concentrations of total nitrogen and total phosphorus, total organic carbon, sulphates, wastewater temperature and pH., The developed model reflected extreme values observed during study period. Average error percentage with which output variables were approximated equalled to 35.35%; 8.99%; 21.23%; 5.08%; 10.99%; 3.02% respectively for N-NH4+, N-NO3-, N-NO2-, TKN, PO43- and SO42-. © The Authors, published by EDP Sciences, 2019.
dc.description.sponsorshipPolitechnika Bialostocka Ministry of Earth Sciences
dc.description.sponsorshipThe research has been carried out in the framework of project No S/WBiIS/3/2014 of the Bialystok University of Technology, Poland and financed from the funds for science from the Ministry of Science.
dc.identifier.doi10.1051/e3sconf/201910000077
dc.identifier.issn2267-1242
dc.identifier.scopus2-s2.0-85067239521
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://dx.doi.org/10.1051/e3sconf/201910000077
dc.identifier.urihttps://hdl.handle.net/11480/1466
dc.identifier.volume100
dc.identifier.wosWOS:000505056300076
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.publisherEDP Sciences
dc.relation.ispartofE3S Web of Conferences
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleArtificial neural network (ANN) approach for modeling of selected biogenic compounds in a mixture of treated municipal and dairy wastewater
dc.typeConference Object

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