Can we use a simple modelling tool to validate stormwater biofilters for herbicides treatment?
Само за регистроване кориснике
2018
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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.
Кључне речи:
predictive uncertainties / stormwater biofilter treatment model (MPiRe) / Treatment validationИзвор:
Urban Water Journal, 2018Издавач:
- Taylor and Francis Ltd.
DOI: 10.1080/1573062X.2018.1508593
ISSN: 1573-062X
WoS: 000495638700003
Scopus: 2-s2.0-85052138213
Колекције
Институција/група
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 . .