Artificial Neural Networks (ANN) Approach to Modelling of Selected Nitrogen Forms Removal from Oily Wastewater in Anaerobic and Aerobic GSBR Process Phases

Piotr Ofman , Joanna Struk-Sokołowska

Abstract

The paper presents artificial neural network models approximating concentration of selected nitrogen forms in wastewater after sequence bath reactor with aerobic granular activated sludge (GSBR) anaerobic and aerobic phase. Developed models reflected all the changes in concentration of studied nitrogen forms (r = 0.996–0.999). In models approximating Total N and N-NH4, variable most influencing calculations was nitrogen form at the beginning of anaerobic or aerobic phase
Author Piotr Ofman (FCEE / DTSEE)
Piotr Ofman,,
- Department of Technologies and Systems in Environmental Engineering
, Joanna Struk-Sokołowska (FCEE / DTSEE)
Joanna Struk-Sokołowska,,
- Department of Technologies and Systems in Environmental Engineering
Journal seriesProceedings, ISSN , e-ISSN 2504-3900, (0 pkt)
Issue year2019
Vol16
No1
Pages1-5
Publication size in sheets0.5
ConferenceInnovations-Sustainability-Modernity-Openness Conference (ISMO'19), 22-05-2019 - 23-05-2019, Białystok, Polska
Keywords in EnglishGSBR; ANN model; nitrogen removal
DOIDOI:10.3390/proceedings2019016016
URL https://www.mdpi.com/2504-3900/16/1
Internal identifierROC 19-20
Languageen angielski
LicenseJournal (articles only); published final; Uznanie Autorstwa (CC-BY); with publication
Score (nominal)5
Score sourcejournalList
ScoreMinisterial score = 5.0, 12-02-2020, ArticleFromJournal
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