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dc.contributor.authorMullins, Darragh
dc.contributor.authorCoburn, Derek
dc.contributor.authorHannon, Louise
dc.contributor.authorJones, Edward
dc.contributor.authorClifford, Eoghan
dc.contributor.authorGlavin, Martin
dc.identifier.citationMullins, Darragh, Coburn, Derek, Hannon, Louise, Jones, Edward, Clifford, Eoghan, & Glavin, Martin. (2018). Using image processing for determination of settled sludge volume. Water Science and Technology, 78(2), 390-401. doi: 10.2166/wst.2018.315en_IE
dc.description.abstractDetermination of the sludge volume index is key to describing the settling characteristics of sludge in the aeration process of wastewater treatment plants (WWTPs). The two core components of this calculation are the settled sludge volume (SSV) and suspended solids. While the measurement procedure for SSV is generally defined by national or international standards, in practice a wide variety of vessel sizes and shapes are used by operators to monitor WWTP performance. Furthermore, differences in how these tests are carried out can lead to poor data, inefficient WWTP operation and a lack of comparable metrics for WWTP operational monitoring. Thus, there is a requirement to improve operational performance of WWTPs to meet the increasingly stringent legislation regarding discharge limits. The aim of this study was to utilise a novel image-processing system (AutoSSV) to (i) determine its efficacy in describing SSV and (ii) measure and compare different methodologies for measurement of SSV. The AutoSSV system was tested using samples from various WWTPs and the results compared to those determined by standard manual measurement. Both standard and modified settlement tests were conducted on 30 mixed liquor samples, with modified settlement tests consistently resulting in lower SSV measurements. Results from the study showed a strong correlation between the SSV measurements provided by the AutoSSV system and results obtained from current manual measurement methods. The proposed technique would help to standardise the measurement in practice and increase the frequency of monitoring, particularly in small-scale rural WWTPs where there may not be permanent operators on site, and thus provide sufficient performance monitoring for efficient and effective operation.en_IE
dc.description.sponsorshipThe authors would like to acknowledge the funding from the European Union’s Horizon 2020 programme under grant number 689817 (INNOQUA), the Enterprise Ireland Commercialisation Fund (Grant Number: CF2332) and the College of Engineering and Informatics PhD scholarshipen_IE
dc.publisherIWA Publishingen_IE
dc.relation.ispartofWater Science And Technologyen
dc.subjectperformance and monitoringen_IE
dc.subjectreal-time monitoringen_IE
dc.subjectwastewater treatmenten_IE
dc.titleUsing image processing for determination of settled sludge volumeen_IE
dc.contributor.funderHorizon 2020en_IE
dc.contributor.funderEnterprise Irelanden_IE
dc.contributor.funderCollege of Engineering and Informatics, National University of Ireland, Galwayen_IE
dc.local.contactEoghan Clifford, Room 1035, Alice Perry Engineering Building, Nui Galway, Galway. 2219 Email:
dcterms.projectinfo:eu-repo/grantAgreement/EC/H2020::IA/689817/EU/Innovative Ecological on-site Sanitation System for Water and Resource Savings/INNOQUAen_IE

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