Estimation of Settling Velocity and Floc Distribution through Simple Particles Sedimentation Experiments SCIE SCOPUS

DC Field Value Language
dc.contributor.author Lee, Uk Jae -
dc.contributor.author Hyeong, Ki-Seong -
dc.contributor.author Cho, Hong-Yeon -
dc.date.accessioned 2020-07-14T01:50:01Z -
dc.date.available 2020-07-14T01:50:01Z -
dc.date.created 2020-07-10 -
dc.date.issued 2020-07 -
dc.identifier.issn 2077-1312 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/21217 -
dc.description.abstract The tailings that remain after the collection and screening of Mn nodules are directly discharged into the ocean and are anticipated to influence the ocean environment and marine organisms. The primary factors determining the influence (diffusion) range are the ocean currents and the settling velocity of the tailings; the latter is directly correlated with the time that the tailings remain in the water column. Flocculation is affected by the actual tailing discharge conditions. The settling velocity of the tailings is expected to increase as a result of flocculation; therefore, data on the size distribution of flocs are needed to compute the settling velocity of the tailings. In this study, a method for estimating the floc size distribution of the tailings is proposed, and the general flocculation process is analyzed using the apparent settling velocity, which is readily estimated by simple settling experiments conducted with standard tailings at different concentrations. The apparent falling time-curve followed a power function, and the flocculated grain size was 3-4 times larger than that before flocculation. In addition, flocculation and falling were significantly inhibited by the time required for flocculation. The method suggested in this study was validated by using a numerical particle-tracking model based on the autoencoder concept, which estimates the apparent settling velocity using the flocculated grain size distribution. The computed time-velocity curve agreed well with the apparent time curve obtained in the experiment, with an error of approximately 5-10% except in the initial time range (0-30 s), despite the qualitative nature of the assumptions. -
dc.description.uri 1 -
dc.language English -
dc.publisher MDPI -
dc.subject SIMPLE FORMULA -
dc.title Estimation of Settling Velocity and Floc Distribution through Simple Particles Sedimentation Experiments -
dc.type Article -
dc.citation.title JOURNAL OF MARINE SCIENCE AND ENGINEERING -
dc.citation.volume 8 -
dc.citation.number 7 -
dc.contributor.alternativeName 이욱재 -
dc.contributor.alternativeName 형기성 -
dc.contributor.alternativeName 조홍연 -
dc.identifier.bibliographicCitation JOURNAL OF MARINE SCIENCE AND ENGINEERING, v.8, no.7 -
dc.identifier.doi 10.3390/jmse8070500 -
dc.identifier.wosid 000557005500001 -
dc.type.docType Article -
dc.description.journalClass 1 -
dc.description.isOpenAccess N -
dc.subject.keywordAuthor Mn nodules -
dc.subject.keywordAuthor apparent settling velocity -
dc.subject.keywordAuthor floc size distribution -
dc.subject.keywordAuthor tailings discharge -
dc.subject.keywordAuthor flocculation -
dc.subject.keywordAuthor simple settling experiment -
dc.subject.keywordAuthor particle tracking model -
dc.relation.journalWebOfScienceCategory Oceanography -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Oceanography -
Appears in Collections:
Marine Digital Resources Department > Marine Bigdata & A.I. Center > 1. Journal Articles
Marine Resources & Environment Research Division > Ocean Georesources Research Department > 1. Journal Articles
Marine Industry Research Division > Ocean Space Development & Energy Research Department > 1. Journal Articles
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