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dc.creatorZhang, Kefeng
dc.creatorRanđelović, Anja
dc.creatorDeletić, Ana
dc.creatorPage, Declan
dc.creatorMcCarthy, David
dc.date.accessioned2019-04-19T14:29:11Z
dc.date.available2019-04-19T14:29:11Z
dc.date.issued2018
dc.identifier.issn1573-062X
dc.identifier.urihttps://grafar.grf.bg.ac.rs/handle/123456789/921
dc.description.abstractThis study proposes a new stormwater biofilter validation approach, using a process-based model of micropollutant removal in stormwater biofilters. The model performance was assessed against in-situ challenge tests conducted on a field biofilter under challenging operational conditions for removing four herbicides (atrazine, simazine, prometryn and glyphosate). Two-site adsorption kinetics were used on the laboratory results to estimate parameters; the estimated Koc (soil organic carbon-water partitioning coefficient) corresponded well with literature values, while fe (instantaneous adsorption fraction) and αk (kinetic adsorption rate) differed from the literature. The agreement between modelled outflow concentrations and in-situ challenge tests was good for prometryn (Nash-Sutcliffe coefficient, E = 0.60) and moderate for glyphosate (E = 0.45), with up to 20% over-prediction of peak outflow concentrations. Poor performance were found for atrazine and simazine (E = 0.30). The prediction uncertainties were bigger after long dry periods, which was attributed to complex processes (biodegradation and evaporation) not captured in either the laboratory column experiments or the model.en
dc.publisherTaylor and Francis Ltd.
dc.rightsrestrictedAccess
dc.sourceUrban Water Journal
dc.subjectpredictive uncertaintiesen
dc.subjectstormwater biofilter treatment model (MPiRe)en
dc.subjectTreatment validationen
dc.titleCan we use a simple modelling tool to validate stormwater biofilters for herbicides treatment?en
dc.typearticle
dc.rights.licenseARR
dc.citation.rankM21
dc.identifier.doi10.1080/1573062X.2018.1508593
dc.identifier.rcubconv_2110
dc.identifier.scopus2-s2.0-85052138213
dc.identifier.wos000495638700003
dc.type.versionpublishedVersion


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