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dc.contributor.authorHUGHES-RILEY, Theodore
dc.contributor.authorNewton, Michael
dc.contributor.authorWebber, J. Beau W
dc.contributor.authorPuigagut Juárez, Jaume
dc.contributor.authorUggetti, Enrica
dc.contributor.authorGarcía Serrano, Joan
dc.contributor.authorMorris, Robert
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
dc.date.accessioned2016-03-16T20:06:50Z
dc.date.available2016-03-16T20:06:50Z
dc.date.issued2014-01
dc.identifier.citationHUGHES-RILEY, T., Newton, M., Webber, J., Puigagut, J., Uggetti, E., Garcia, J., Morris, R. Advances in clog state monitoring for use in automated reed bed installations. "Lakes, reservoirs and ponds", Gener 2014, vol. 8, núm. 1, p. 52-65.
dc.identifier.issn2284-5305
dc.identifier.urihttp://hdl.handle.net/2117/84576
dc.description.abstractConstructed wetlands are a popular form of waste-water treatment that have proliferated across Europe and the rest of the world in recent years as an environmentally conscious form of waste water treatment. The ability to monitor the conditions in the bed and control input factors such as heating and aeration may extend the lifetime of the reed bed substantially beyond the ten year lifetime normally reached. The Autonomous Reed Bed Installation (ARBI) project is an EU FP7 initiative to develop a reed bed with automated control over input parameters based on readings taken from embedded sensors. Automated remedial action may improve bed treatment efficiency, and prolong the life of the bed and avoiding the need to refurbish the bed, which is both time consuming and costly. One critical parameter to observe is the clog state of the reed bed, as this can severely impact on the efficiency of water treatment to the point of the bed becoming non-operable. Magnetic resonance (MR) sensors can be a powerful tool in determining clogging levels, and has previously been explored in the literature. This work is based on a conference paper (2nd International Conference
dc.format.extent14 p.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-sa/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria civil::Geologia::Hidrologia
dc.subject.lcshConstructed wetlands
dc.subject.lcshWater reuse
dc.subject.otherconstructed wetlands
dc.subject.otherwaste water
dc.subject.othermagnetic resonance
dc.subject.otherclogging
dc.subject.othersensor
dc.subject.othermonitoring
dc.titleAdvances in clog state monitoring for use in automated reed bed installations
dc.typeArticle
dc.subject.lemacZones humides artificials
dc.subject.lemacAigües residuals -- Depuració
dc.contributor.groupUniversitat Politècnica de Catalunya. GEMMA - Grup d'Enginyeria i Microbiologia del Medi Ambient
dc.relation.publisherversionhttp://www.limnology.ro/Lakes/2014/201408105.pdf
dc.rights.accessOpen Access
local.identifier.drac17556211
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/606326/EU/Autonomous Reed Bed Installations/ARBI
local.citation.authorHUGHES-RILEY, T.; Newton, M.; Webber, J.; Puigagut, J.; Uggetti, E.; Garcia, J.; Morris, R.
local.citation.publicationNameLakes, reservoirs and ponds
local.citation.volume8
local.citation.number1
local.citation.startingPage52
local.citation.endingPage65


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