Modelling the performance of an integrated fixed-film activated sludge (IFAS) system: A systematic approach to automated calibration
dc.contributor.author | Pryce, D | |
dc.contributor.author | Kapelan, Z | |
dc.contributor.author | Memon, FA | |
dc.date.accessioned | 2022-06-08T12:15:07Z | |
dc.date.issued | 2022-06-08 | |
dc.date.updated | 2022-06-08T10:53:30Z | |
dc.description.abstract | IFAS systems are inherently complex due to the hybrid use of both suspended and attached bacterial colonies for the purpose of pollutant degradation as part of wastewater treatment. This poses challenges when attempting to represent these systems mathematically due to the vast number of parameters involved. Besides becoming convoluted, large effort will be incurred during model calibration. This paper demonstrates a systematic approach to calibration of an IFAS process model that incorporates two sensitivity analyses to identify influential parameters and detect collinearity from a subset of 68 kinetic and stoichiometric parameters, and the use of the Nelder-Mead optimization algorithm to estimate the required values of these parameters. The model considers the removal of three critical pollutants including biochemical oxygen demand (BOD), total nitrogen (TN) and total suspended solids (TSS). Results from the sensitivity analyses identified four parameters that were the primary influence on the model. The model was found to be most sensitive to the two stoichiometric parameters including aerobic heterotrophic yield on soluble substrate whose total effects were responsible for 92.4 % of the model’s BOD output sensitivity and 92.8 % of the model’s TSS output sensitivity. The anoxic heterotrophic yield on soluble substrate was observed to be responsible for 54.3 % of the model’s TN output sensitivity. To a lesser extent the two kinetic parameters, aerobic heterotrophic decay rate and reduction factor for denitrification on nitrite, were responsible for only 8.0 % and 13.1 % of the model’s BOD and TN output sensitivities respectively. Parameter estimation identified the need for only minor adjustments to default values in order to achieve sufficient accuracy of simulation with deviation from observed data to be only±3.6 mg/L, ±1.3 mg/L, and ±9.5 mg/L for BOD, TN and TSS respectively. Validation showed the model was limited in its capacity to predict system behaviour under extreme dissolved oxygen stress. | en_GB |
dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
dc.description.sponsorship | Eliquohydrok Ltd, UK. | en_GB |
dc.identifier.citation | Vol. 12, article 9416 | en_GB |
dc.identifier.doi | 10.1038/s41598-022-13779-w | |
dc.identifier.grantnumber | EP/L015412/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/129883 | |
dc.identifier | ORCID: 0000-0002-0779-083X (Memon, Fayyaz A) | |
dc.language.iso | en | en_GB |
dc.publisher | Nature Research | en_GB |
dc.rights | © The Author(s) 2022. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en_GB |
dc.title | Modelling the performance of an integrated fixed-film activated sludge (IFAS) system: A systematic approach to automated calibration | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2022-06-08T12:15:07Z | |
dc.identifier.issn | 2045-2322 | |
dc.description | This is the final version. Available on open access from Nature Research via the DOI in this record | en_GB |
dc.description | Data availability: The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request. | en_GB |
dc.identifier.journal | Scientific Reports | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2022-05-13 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2022-06-08 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2022-06-08T10:53:32Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2022-06-08T12:15:20Z | |
refterms.panel | B | en_GB |
refterms.dateFirstOnline | 2022-06-08 |
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