TY  - 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 . .

TY  - JOUR
AU  - Zhang, Kefeng
AU  - Ranđelović, Anja
AU  - Deletić, Ana
AU  - Page, Declan
AU  - McCarthy, David
PY  - 2016
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/790
AB  - Stormwater biofilters must be validated before they can be a trusted component of the treatment train used for water supply augmentation. Currently, only in situ challenge testing is accepted for treatment validation, yet this is impractical for stormwater biofilters because of their size and operational conditions; e.g. stormwater harvesting biofilters are often large systems that receive significant volumes of urban stormwater during short periods of time. This study proposes an alternative validation tool for stormwater biofilters that uses a process-based model calibrated against in situ tracer and laboratory based data. The method is developed and tested using fluorescein as the reference micropollutant at two different biofilters: (i) a well-designed system that uses sand as filter media and has a submerged zone (S-SZ), and (ii) a system with loamy sand (with content of silt and clay well above best practice), which does not have a submerged zone (LS-noSZ). Firstly, a model that can simulate hydrodynamic and pollutant transport of micropollutants in stormwater biofilters was selected. In situ tracer tests and laboratory batch studies were then performed to derive the model parameters using soil samples collected from the two biofilters. Without further calibration, the model was applied to simulate a number of in situ fluorescein challenge tests performed on the biofilters. The modelled outflow concentrations were compared with the in situ measurements, showing that the proposed alternative validation method could provide reliable predictions of fluorescein removal in the S-SZ, with predicted outflow concentrations agreeable to the measured data (Nash Sutcliffe coefficient, E = 0.67). The peak outflow concentrations that are important for validation study were particularly well modelled; the differences between the modelled and measured peak values were -3.9% to +7.4% for spiking tests and -4.4% to 28% for flushing/rinsing tests. However, for LS-noSZ, the proposed tool did not work well (E = 1.7), which was attributed to the fact that flow through this system could not be reliably modelled due to high silt and clay content in the soil. The differences of peak concentrations of LS-noSZ were between 3.6% (under-predicted) and +76% (over-predicted).
PB  - Elsevier
T2  - Ecological Engineering
T1  - Stormwater biofilters: A new validation modelling tool
EP  - 61
SP  - 53
VL  - 87
DO  - 10.1016/j.ecoleng.2015.11.014
ER  - 

@article{
author = "Zhang, Kefeng and Ranđelović, Anja and Deletić, Ana and Page, Declan and McCarthy, David",
year = "2016",
abstract = "Stormwater biofilters must be validated before they can be a trusted component of the treatment train used for water supply augmentation. Currently, only in situ challenge testing is accepted for treatment validation, yet this is impractical for stormwater biofilters because of their size and operational conditions; e.g. stormwater harvesting biofilters are often large systems that receive significant volumes of urban stormwater during short periods of time. This study proposes an alternative validation tool for stormwater biofilters that uses a process-based model calibrated against in situ tracer and laboratory based data. The method is developed and tested using fluorescein as the reference micropollutant at two different biofilters: (i) a well-designed system that uses sand as filter media and has a submerged zone (S-SZ), and (ii) a system with loamy sand (with content of silt and clay well above best practice), which does not have a submerged zone (LS-noSZ). Firstly, a model that can simulate hydrodynamic and pollutant transport of micropollutants in stormwater biofilters was selected. In situ tracer tests and laboratory batch studies were then performed to derive the model parameters using soil samples collected from the two biofilters. Without further calibration, the model was applied to simulate a number of in situ fluorescein challenge tests performed on the biofilters. The modelled outflow concentrations were compared with the in situ measurements, showing that the proposed alternative validation method could provide reliable predictions of fluorescein removal in the S-SZ, with predicted outflow concentrations agreeable to the measured data (Nash Sutcliffe coefficient, E = 0.67). The peak outflow concentrations that are important for validation study were particularly well modelled; the differences between the modelled and measured peak values were -3.9% to +7.4% for spiking tests and -4.4% to 28% for flushing/rinsing tests. However, for LS-noSZ, the proposed tool did not work well (E = 1.7), which was attributed to the fact that flow through this system could not be reliably modelled due to high silt and clay content in the soil. The differences of peak concentrations of LS-noSZ were between 3.6% (under-predicted) and +76% (over-predicted).",
publisher = "Elsevier",
journal = "Ecological Engineering",
title = "Stormwater biofilters: A new validation modelling tool",
pages = "61-53",
volume = "87",
doi = "10.1016/j.ecoleng.2015.11.014"
}

Zhang, K., Ranđelović, A., Deletić, A., Page, D.,& McCarthy, D.. (2016). Stormwater biofilters: A new validation modelling tool. in Ecological Engineering
Elsevier., 87, 53-61.
https://doi.org/10.1016/j.ecoleng.2015.11.014

Zhang K, Ranđelović A, Deletić A, Page D, McCarthy D. Stormwater biofilters: A new validation modelling tool. in Ecological Engineering. 2016;87:53-61.
doi:10.1016/j.ecoleng.2015.11.014 .

Zhang, Kefeng, Ranđelović, Anja, Deletić, Ana, Page, Declan, McCarthy, David, "Stormwater biofilters: A new validation modelling tool" in Ecological Engineering, 87 (2016):53-61,
https://doi.org/10.1016/j.ecoleng.2015.11.014 . .

TY  - JOUR
AU  - Zhang, Kefeng
AU  - Ranđelović, Anja
AU  - Aguiar, Larissa M.
AU  - Page, Declan
AU  - McCarthy, David
AU  - Deletić, Ana
PY  - 2015
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/714
AB  - Background Water Sensitive Urban Design (WSUD) systems are frequently used as part of a stormwater harvesting treatment trains (e.g. biofilters (bio-retentions and rain-gardens) and wetlands). However, validation frameworks for such systems do not exist, limiting their adoption for end-uses such as drinking water. The first stage in the validation framework is pre-validation, which prepares information for further validation monitoring. Objectives A pre-validation roadmap, consisting of five steps, is suggested in this paper. Detailed methods for investigating target micropollutants in stormwater, and determining challenge conditions for biofilters and wetlands, are provided. Methods A literature review was undertaken to identify and quantify micropollutants in stormwater. MUSIC V5.1 was utilized to simulate the behaviour of the systems based on 30-year rainfall data in three distinct climate zones; outputs were evaluated to identify the threshold of operational variables, including length of dry periods (LDPs) and volume of water treated per event. Results The paper highlights that a number of micropollutants were found in stormwater at levels above various worldwide drinking water guidelines (eight pesticides, benzene, benzo(a) pyrene, pentachlorophenol, di-(2-ethylhexyl)-phthalate and a total of polychlorinated biphenyls). The 95th percentile LDPs was exponentially related to system design area while the 5th percentile length of dry periods remained within short durations (i.e. 2-8 hours). 95th percentile volume of water treated per event was exponentially related to system design area as a percentage of an impervious catchment area. Conclusions The out-comings of this study show that pre-validation could be completed through a roadmap consisting of a series of steps; this will help in the validation of stormwater treatment systems.
PB  - Public Library of Science
T2  - PLOS One
T1  - Methodologies for Pre-Validation of Biofilters and Wetlands for Stormwater Treatment
IS  - 5
VL  - 10
DO  - 10.1371/journal.pone.0125979
ER  - 

@article{
author = "Zhang, Kefeng and Ranđelović, Anja and Aguiar, Larissa M. and Page, Declan and McCarthy, David and Deletić, Ana",
year = "2015",
abstract = "Background Water Sensitive Urban Design (WSUD) systems are frequently used as part of a stormwater harvesting treatment trains (e.g. biofilters (bio-retentions and rain-gardens) and wetlands). However, validation frameworks for such systems do not exist, limiting their adoption for end-uses such as drinking water. The first stage in the validation framework is pre-validation, which prepares information for further validation monitoring. Objectives A pre-validation roadmap, consisting of five steps, is suggested in this paper. Detailed methods for investigating target micropollutants in stormwater, and determining challenge conditions for biofilters and wetlands, are provided. Methods A literature review was undertaken to identify and quantify micropollutants in stormwater. MUSIC V5.1 was utilized to simulate the behaviour of the systems based on 30-year rainfall data in three distinct climate zones; outputs were evaluated to identify the threshold of operational variables, including length of dry periods (LDPs) and volume of water treated per event. Results The paper highlights that a number of micropollutants were found in stormwater at levels above various worldwide drinking water guidelines (eight pesticides, benzene, benzo(a) pyrene, pentachlorophenol, di-(2-ethylhexyl)-phthalate and a total of polychlorinated biphenyls). The 95th percentile LDPs was exponentially related to system design area while the 5th percentile length of dry periods remained within short durations (i.e. 2-8 hours). 95th percentile volume of water treated per event was exponentially related to system design area as a percentage of an impervious catchment area. Conclusions The out-comings of this study show that pre-validation could be completed through a roadmap consisting of a series of steps; this will help in the validation of stormwater treatment systems.",
publisher = "Public Library of Science",
journal = "PLOS One",
title = "Methodologies for Pre-Validation of Biofilters and Wetlands for Stormwater Treatment",
number = "5",
volume = "10",
doi = "10.1371/journal.pone.0125979"
}

Zhang, K., Ranđelović, A., Aguiar, L. M., Page, D., McCarthy, D.,& Deletić, A.. (2015). Methodologies for Pre-Validation of Biofilters and Wetlands for Stormwater Treatment. in PLOS One
Public Library of Science., 10(5).
https://doi.org/10.1371/journal.pone.0125979

Zhang K, Ranđelović A, Aguiar LM, Page D, McCarthy D, Deletić A. Methodologies for Pre-Validation of Biofilters and Wetlands for Stormwater Treatment. in PLOS One. 2015;10(5).
doi:10.1371/journal.pone.0125979 .

Zhang, Kefeng, Ranđelović, Anja, Aguiar, Larissa M., Page, Declan, McCarthy, David, Deletić, Ana, "Methodologies for Pre-Validation of Biofilters and Wetlands for Stormwater Treatment" in PLOS One, 10, no. 5 (2015),
https://doi.org/10.1371/journal.pone.0125979 . .

TY  - JOUR
AU  - Zhang, Kefeng
AU  - Ranđelović, Anja
AU  - Page, Declan
AU  - McCarthy, David
AU  - Deletić, Ana
PY  - 2014
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/605
AB  - Stormwater harvesting is becoming a popular alternative water resource in water stressed regions. Stormwater biofilters have been recognized as being among the most promising pre-treatment technologies. In this study, a series of challenge tests were conducted as part of a validation framework of stormwater biofilters for selected micropollutants. Two biofilter configurations were studied: a configuration with loamy sand and no submerged zone (LS-noSZ) and another configuration that uses sand and a submerged zone (S-SZ). Biofilter challenge conditions were: (i) treatment volume set at 95th percentile of all treated events and (ii) the maximum and minimum durations of dry period between two events, both based on hydrology simulations using 30 years rainfall data for Melbourne. The hydraulic performance of S-SZ was stable and not affected by either prolonged wet or dry periods, while the outflow rate of LS-noSZ was largely reduced during prolonged wet periods. Biofilters had a removal efficiency of >80% for total petroleum hydrocarbons (TPHs), glyphosate, dibutyl phthalate (DBP), bis-(2-ethylhexyl) phthalate (DEHP), pyrene and naphthalene loads by both configurations under the most challenge conditions; the removal of pentachlorophenol (PCP) and phenol loads was >80% in LS-noSZ and 50-80% in S-SZ, while chloroform had load removal rates between 20% and 50%. Biofilters were less effective in removing atrazine and simazine with load removal 20-50% in LS-noSZ and   lt 20% in S-SZ. Prolonged dry periods benefited the removal of micropollutants while very short dry periods adversely affected micropollutants removal. The study contributes to the development of the overall framework for validation of stormwater biofilters, which is required if these systems are to be applied in stormwater treatment systems for higher end water uses such as drinking water.
PB  - Elsevier
T2  - Ecological Engineering
T1  - The validation of stormwater biofilters for micropollutant removal using in situ challenge tests
EP  - 10
SP  - 1
VL  - 67
DO  - 10.1016/j.ecoleng.2014.03.004
ER  - 

@article{
author = "Zhang, Kefeng and Ranđelović, Anja and Page, Declan and McCarthy, David and Deletić, Ana",
year = "2014",
abstract = "Stormwater harvesting is becoming a popular alternative water resource in water stressed regions. Stormwater biofilters have been recognized as being among the most promising pre-treatment technologies. In this study, a series of challenge tests were conducted as part of a validation framework of stormwater biofilters for selected micropollutants. Two biofilter configurations were studied: a configuration with loamy sand and no submerged zone (LS-noSZ) and another configuration that uses sand and a submerged zone (S-SZ). Biofilter challenge conditions were: (i) treatment volume set at 95th percentile of all treated events and (ii) the maximum and minimum durations of dry period between two events, both based on hydrology simulations using 30 years rainfall data for Melbourne. The hydraulic performance of S-SZ was stable and not affected by either prolonged wet or dry periods, while the outflow rate of LS-noSZ was largely reduced during prolonged wet periods. Biofilters had a removal efficiency of >80% for total petroleum hydrocarbons (TPHs), glyphosate, dibutyl phthalate (DBP), bis-(2-ethylhexyl) phthalate (DEHP), pyrene and naphthalene loads by both configurations under the most challenge conditions; the removal of pentachlorophenol (PCP) and phenol loads was >80% in LS-noSZ and 50-80% in S-SZ, while chloroform had load removal rates between 20% and 50%. Biofilters were less effective in removing atrazine and simazine with load removal 20-50% in LS-noSZ and   lt 20% in S-SZ. Prolonged dry periods benefited the removal of micropollutants while very short dry periods adversely affected micropollutants removal. The study contributes to the development of the overall framework for validation of stormwater biofilters, which is required if these systems are to be applied in stormwater treatment systems for higher end water uses such as drinking water.",
publisher = "Elsevier",
journal = "Ecological Engineering",
title = "The validation of stormwater biofilters for micropollutant removal using in situ challenge tests",
pages = "10-1",
volume = "67",
doi = "10.1016/j.ecoleng.2014.03.004"
}

Zhang, K., Ranđelović, A., Page, D., McCarthy, D.,& Deletić, A.. (2014). The validation of stormwater biofilters for micropollutant removal using in situ challenge tests. in Ecological Engineering
Elsevier., 67, 1-10.
https://doi.org/10.1016/j.ecoleng.2014.03.004

Zhang K, Ranđelović A, Page D, McCarthy D, Deletić A. The validation of stormwater biofilters for micropollutant removal using in situ challenge tests. in Ecological Engineering. 2014;67:1-10.
doi:10.1016/j.ecoleng.2014.03.004 .

Zhang, Kefeng, Ranđelović, Anja, Page, Declan, McCarthy, David, Deletić, Ana, "The validation of stormwater biofilters for micropollutant removal using in situ challenge tests" in Ecological Engineering, 67 (2014):1-10,
https://doi.org/10.1016/j.ecoleng.2014.03.004 . .