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dc.creatorRanđelović, Anja
dc.creatorZhang, Kefeng
dc.creatorJaćimović, Nenad
dc.creatorMcCarthy, David
dc.creatorDeletić, Ana
dc.date.accessioned2019-04-19T14:25:49Z
dc.date.available2019-04-19T14:25:49Z
dc.date.issued2016
dc.identifier.issn0043-1354
dc.identifier.urihttp://grafar.grf.bg.ac.rs/handle/123456789/781
dc.description.abstractBiofiltration systems, also known as bioretentions or rain-gardens, are widely used for treatment of stormwater. In order to design them well, it is important to improve models that can predict their performance. This paper presents a rare model that can simulate removal of a wide range of micro pollutants from stormwater by biofilters. The model is based on (1) a bucket approach for water flow simulation, and (2) advection/dispersion transport equations for pollutant transport and fate. The latter includes chemical non-equilibrium two-site model of sorption, first-order decay, and volatilization, thus is a compromise between the limited availability of data (on stormwater micro-pollutants) and the required complexity to accurately describe the nature of the phenomenon. The model was calibrated and independently validated on two field data series collected for different organic micro-pollutants at two biofilters of different design. This included data on triazines (atrazine, prometryn, and simazine), glyphosate, and chloroform during six simulated stormwater events. The data included variable and challenging biofilter operational conditions; e.g. variable inflow volumes, dry and wet period dynamics, and inflow pollutant concentrations. The model was able to simulate water flow well, with slight discrepancies being observed only during long dry periods when, presumably, soil cracking occurred. In general, the agreement between simulated and measured pollutographs was good. As with flows, the long dry periods posed a problem for water quality simulation (e.g. simazine and prometryn were difficult to model in low inflow events that followed prolonged dry periods). However, it was encouraging that pollutant transport and fate parameters estimated by the model calibration were in agreement with available literature data. This suggests that the model could probably be adopted for assessment of biofilter performance of other stormwater micro-pollutants (PAHs, phenols, phthalates, etc.). The model, therefore, could be applied in practice for sizing of biofilter systems and their validation monitoring, when used for stormwater harvesting.en
dc.publisherElsevier Ltd
dc.relationCooperative Research Centre for Water Sensitive Cities E04105
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/37010/RS//
dc.rightsrestrictedAccess
dc.sourceWater Research
dc.subjectStormwater biofilteren
dc.subjectMicro-pollutant modellingen
dc.subjectTriazinesen
dc.subjectGlyphosateen
dc.subjectChloroformen
dc.titleStormwater biofilter treatment model (MPiRe) for selected micro-pollutantsen
dc.typearticle
dc.rights.licenseARR
dc.citation.epage191
dc.citation.other89: 180-191
dc.citation.rankaM21
dc.citation.spage180
dc.citation.volume89
dc.identifier.doi10.1016/j.watres.2015.11.046
dc.identifier.pmid26650452
dc.identifier.rcubconv_1781
dc.identifier.scopus2-s2.0-84949035056
dc.identifier.wos000368951000018
dc.type.versionpublishedVersion


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