Can we use a simple modelling tool to validate stormwater biofilters for herbicides treatment?
Abstract
This 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 predictio...n 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.
Keywords:
predictive uncertainties / stormwater biofilter treatment model (MPiRe) / Treatment validationSource:
Urban Water Journal, 2018Publisher:
- Taylor and Francis Ltd.
DOI: 10.1080/1573062X.2018.1508593
ISSN: 1573-062X
WoS: 000495638700003
Scopus: 2-s2.0-85052138213
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Institution/Community
GraFarTY - JOUR AU - Zhang, Kefeng AU - Ranđelović, Anja AU - Deletić, Ana AU - Page, Declan AU - McCarthy, David PY - 2018 UR - https://grafar.grf.bg.ac.rs/handle/123456789/921 AB - This 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. PB - Taylor and Francis Ltd. T2 - Urban Water Journal T1 - Can we use a simple modelling tool to validate stormwater biofilters for herbicides treatment? DO - 10.1080/1573062X.2018.1508593 ER -
@article{ author = "Zhang, Kefeng and Ranđelović, Anja and Deletić, Ana and Page, Declan and McCarthy, David", year = "2018", abstract = "This 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.", publisher = "Taylor and Francis Ltd.", journal = "Urban Water Journal", title = "Can we use a simple modelling tool to validate stormwater biofilters for herbicides treatment?", doi = "10.1080/1573062X.2018.1508593" }
Zhang, K., Ranđelović, A., Deletić, A., Page, D.,& McCarthy, D.. (2018). Can we use a simple modelling tool to validate stormwater biofilters for herbicides treatment?. in Urban Water Journal Taylor and Francis Ltd... https://doi.org/10.1080/1573062X.2018.1508593
Zhang K, Ranđelović A, Deletić A, Page D, McCarthy D. Can we use a simple modelling tool to validate stormwater biofilters for herbicides treatment?. in Urban Water Journal. 2018;. doi:10.1080/1573062X.2018.1508593 .
Zhang, Kefeng, Ranđelović, Anja, Deletić, Ana, Page, Declan, McCarthy, David, "Can we use a simple modelling tool to validate stormwater biofilters for herbicides treatment?" in Urban Water Journal (2018), https://doi.org/10.1080/1573062X.2018.1508593 . .