Cited by 21Urban Stormwater Management SolutionsPharmaceutical and Antibiotic Environmental ImpactsWastewater Treatment and Reuse

Performance of a gross pollutant trap-biofilter and sand filter treatment train for the removal of organic micropollutants from highway stormwater (field study)

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Beryani, Ali, Flanagan, Kelsey, Viklander, Maria, Blecken, Godecke-Tobias·2023·Science of The Total Environment

Abstract

This field study assessed the occurrence, event mean concentrations (EMCs), and removal of selected organic micro-pollutants (OMPs), namely, polycyclic aromatic hydrocarbons (PAHs), petroleum hydrocarbons (PHCs), nonylphenol (NP), 4-t-octylphenol (OP), and bisphenol A (BPA), in a gross pollutant trap (GPT)-biofilter/sand filter stormwater treatment train in Sundsvall, Sweden. The effects of design features of each treatment unit, including pre-sedimentation (GPT), sand filter medium, vegetation, and chalk amendment, were investigated by comparing the units' removal performances. Overall, the treatment train removed most OMPs from highway runoff effectively. The results showed that although the sand filter provided moderate (<50 % for phenolic substances) to high (50-80 % for PAHs and PHCs) removal of OMPs, adding a vegetated soil layer on top of the sand filter considerably improved the removal performance (by at least 30 %), especially for BPA, OP, and suspended solids. Moreover, GTP did not contribute to the treatment significantly. Uncertainties in the removal efficiencies of PAHs and PHCs by the filter cells increased substantially when the ratio of the influent concentration to the limit of quantification decreased. Thus, accounting for such uncertainties due to the low OMP concentrations should be considered when evaluating the removal performance of biofilters.

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  • Field studies have demonstrated that stormwater biofilters effectively remove many inorganic and mainly hydrophobic organic micropollutants.

    “Several field studies have demonstrated that stormwater biofilters effectively remove many inorganic and (mainly hydrophobic) OMPs”

    From Occurrence, Concentration, and Distribution of 35 PFASs and Their Precursors Retained in 20 Stormwater Biofilters (2024) · cites this paper as [21]

    The Introduction reports that a few field studies found biofiltration effective for organic micropollutants, particularly hydrophobic, particulate compounds such as PCBs and PAHs. It mentions studies of metal and nutrient removal, but does not establish the claimed field-study finding for many inorganic pollutants. The Conclusion addresses organic micropollutants, not inorganic ones. (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • Stormwater biofilters mainly retain particulate/particle-bound OMPs by straining and attachment to the filter medium and, to a lesser extent, soluble OMP adsorption to organic matter in either the filter material or retained sediments.

    “They mainly retain particulate/particle-bound OMPs by straining and attachment to the filter medium and, to a lesser extent, soluble OMP adsorption to organic matter (OM) in either the filter material or retained sediments (Beryani et al., 2023).”

    From Critical field evaluations of biochar-amended stormwater biofilters for PFAS and other organic micropollutant removals (2025) · cites this paper as Beryani et al., 2023

    Section 4.2 (Impact of sand filter media; page unavailable) identifies particle straining and attachment as the likely predominant removal mechanisms in a sand-based filter, with lesser adsorption of solutes to organic matter on the filter surface. The claim extends that ranking to stormwater biofilters generally. Section 4.3 describes additional absorption by vegetation soil and organic matter in vegetated biofilters, so the paper does not establish the same ranking for those systems. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • The investigated biofilters were only partially vegetated, which could have reduced the removal efficiencies at these sites.

    “The fact that the investigated biofilters were only partially vegetated could have reduced the removal efficiencies at these sites (Beryani et al., 2023).”

    From Critical field evaluations of biochar-amended stormwater biofilters for PFAS and other organic micropollutant removals (2025) · cites this paper as Beryani et al., 2023

    Section 4.3 reports that the vegetated filter removed several pollutants more effectively than the nonvegetated filter, supporting the possibility that vegetation affects removal efficiency. However, the passages do not say that the studied biofilters were only partially vegetated or that incomplete vegetation reduced their efficiencies; searches for partial vegetation and plant coverage found no such statement. Page numbers were unavailable in our copy. (LLM, conf=0.79)

    Experimental — accuracy not yet measured
  • Stormwater biofilters can efficiently remove hydrophobic and particulate OMPs such as PCBs, PAHs, and PHCs as well as suspended solids and particulate metals.

    “Therefore, stormwater biofilters can efficiently remove hydrophobic and particulate OMPs such as PCBs, PAHs, and PHCs as well as suspended solids (SS) and particulate metals (e.g., Beryani et al., 2023; David et al., 2015; Flanagan et al., 2018; Furén et al., 2022).”

    From Critical field evaluations of biochar-amended stormwater biofilters for PFAS and other organic micropollutant removals (2025) · cites this paper as Beryani et al., 2023

    The Introduction reports that field biofilters can remove hydrophobic, particulate OMPs including PCBs, PAHs, and PHCs, and the Results (section 3.2.3) report strong TSS removal by the vegetated biofilters. The Water quality analysis section lists no metals among the measured pollutants, so this paper does not establish efficient removal of particulate metals. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • Heavier fractions of PAHs, PHCs, PCBs, and phthalates are already efficiently removed by vegetated sand biofilters.

    “which are already efficiently removed by vegetated sand biofilters”

    From Critical field evaluations of biochar-amended stormwater biofilters for PFAS and other organic micropollutant removals (2025) · cites this paper as Beryani et al., 2023

    Section 4.3 reports improved removal of heavier PAH fractions and PHCs by the vegetated sand filter. The Introduction also reports that field biofiltration can effectively remove PCBs, but does not establish that result specifically for vegetated sand biofilters. It says the effect is more limited for plasticizers, including phthalates, so the claim of efficient phthalate removal is not supported. Page numbers are unavailable in our copy. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

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References 65 · Cited by 21

Research works printed but not linked: 57

  1. Behbahani, A., Ryan, R.J., McKenzie, E.R., 2021. Impacts of salinity on the dynamics of fine particles and their associated metals during stormwater management. Sci. Total Environ. 777, 146135 https://doi.org/10.1016/j.scitotenv.2021.146135. · DOI
  2. Beryani, A., Flanagan, K., Viklander, M., Blecken, G.-T., 2023. Occurrence and concentrations of organic micropollutants (OMPs) in highway stormwater: a comparative field study in Sweden. Environ. Sci. Pollut. Res. https://doi.org/ 10.1007/s11356-023-27623-9. · DOI
  3. Bester, K., Schäfer, D., 2009. Activated soil filters (bio filters) for the elimination of xenobiotics (micro-pollutants) from storm-and waste waters. Water Res. 43 (10), 2639-2646. https://doi.org/10.1016/j.watres.2009.03.026. · DOI
  4. Björklund, K., Cousins, A.P., Strömvall, A.-M., Malmqvist, P.-A., 2009. Phthalates and nonylphenols in urban runoff: occurrence, distribution and area emission factors. Sci. Total Environ. 407 (16), 4665-4672. https://doi.org/10.1016/j. scitotenv.2009.04.040. · DOI
  5. Blecken, G.-T., Zinger, Y., Deletić, A., Fletcher, T.D., Viklander, M., 2009. Influence of intermittent wetting and drying conditions on heavy metal removal by stormwater biofilters. Water Res. 43 (18), 4590-4598. https://doi.org/10.1016/j. watres.2009.07.008. · DOI · Paper page
  6. Boehm, A., Bell, C., Fitzgerald, N.J., Gallo, E., Higgins, C., Hogue, T., Luthy, R., Portmann, A., Ulrich, B., Wolfand, J., 2020. Biochar-augmented biofilters to improve pollutant removal from stormwater -can they improve receiving water quality? Environ. Sci. Water Res. Technol. 6 (6), 1520-1537. https://doi.org/10.1039/ D0EW00027B. · DOI
  7. Choubert, J.M., Martin Ruel, S., Esperanza, M., Budzinski, H., Miège, C., Lagarrigue, C., Coquery, M., 2011. Limiting the emissions of micro-pollutants: what efficiency can we expect from wastewater treatment plants? Water Sci. Technol. 63 (1), 57-65. https://doi.org/10.2166/wst.2011.009. · DOI
  8. Chu, Y., Yang, L., Wang, X., Wang, X., Zhou, Y., 2021. Research on distribution characteristics, influencing factors, and maintenance effects of heavy metal accumulation in bioretention systems: critical review. J. Sustain. Water Built Environ. 7 (2), 03120001. https://doi.org/10.1061/JSWBAY.0000930. · DOI
  9. Dagenais, D., Brisson, J., Fletcher, T.D., 2018. The role of plants in bioretention systems; does the science underpin current guidance? Ecol. Eng. 120, 532-545. https://doi. org/10.1016/j.ecoleng.2018.07.007. · DOI
  10. David, N., Leatherbarrow, J.E., Yee, D., McKee, L.J., 2015. Removal efficiencies of a bioretention system for trace metals, PCBs, PAHs, and dioxins in a semiarid environment. J. Environ. Eng. 141 (6), 04014092. https://doi.org/10.1061/(asce) ee.1943-7870.0000921. · DOI · Paper page
  11. Davis, A.P., 2007. Field performance of bioretention: water quality. Environ. Eng. Sci. 24 (8), 1048-1064. https://doi.org/10.1089/ees.2006.0190. · DOI
  12. Diblasi, C.J., Li, H., Davis, A.P., Ghosh, U., 2009. Removal and fate of polycyclic aromatic hydrocarbon pollutants in an urban stormwater bioretention facility. Environ. Sci. Technol. 43 (2), 494-502. https://doi.org/10.1021/es802090g. · DOI · Paper page
  13. Duan, L., Naidu, R., Thavamani, P., Meaklim, J., Megharaj, M., 2015. Managing long- term polycyclic aromatic hydrocarbon contaminated soils: a risk-based approach. Environ. Sci. Pollut. Res. 22 (12), 8927-8941. https://doi.org/10.1007/s11356-013- 2270-0. · DOI
  14. EU WFD, 2013. Directive 2013/39/EU of the European Parliament and of the Council of 12 August 2013 amending Directives 2000/60/ EC and 2008/105/EC as regards priority substances in the field of water policy text with EEA relevance. Official Journal of the European Union. https://data.europa.eu/eli/dir/2013/39/oj/eng. (Accessed 18 January 2022).
  15. Fang, H., Jamali, B., Deletic, A., Zhang, K., 2021. Machine learning approaches for predicting the performance of stormwater biofilters in heavy metal removal and risk mitigation. Water Res. 200, 117273 https://doi.org/10.1016/j.watres.2021.117273. · DOI
  16. Figuière, R., Waara, S., Ahrens, L., Golovko, O., 2022. Risk-based screening for prioritisation of organic micropollutants in Swedish freshwater. J. Hazard. Mater. 429, 128302 https://doi.org/10.1016/j.jhazmat.2022.128302. · DOI
  17. Flanagan, K., Branchu, P., Boudahmane, L., Caupos, E., Demare, D., Deshayes, S., Dubois, P., Meffray, L., Partibane, C., Saad, M., Gromaire, M.-C., 2018. Field performance of two biofiltration systems treating micropollutants from road runoff. Water Res. 145, 562-578. https://doi.org/10.1016/j.watres.2018.08.064. · DOI · Paper page
  18. Flanagan, K., Branchu, P., Boudahmane, L., Caupos, E., Demare, D., Deshayes, S., Dubois, P., Meffray, L., Partibane, C., Saad, M., Gromaire, M.C., 2019. Retention and transport processes of particulate and dissolved micropollutants in stormwater biofilters treating road runoff. Sci. Total Environ. 656, 1178-1190. https://doi.org/ 10.1016/j.scitotenv.2018.11.304. · DOI · Paper page
  19. Furén, R., Flanagan, K., Winston, R.J., Tirpak, R.A., Dorsey, J.D., Viklander, M., Blecken, G.-T., 2022. Occurrence, concentration, and distribution of 38 organic micropollutants in the filter material of 12 stormwater bioretention facilities. Sci. Total Environ. 846, 157372 https://doi.org/10.1016/j.scitotenv.2022.157372. · DOI · Paper page
  20. Furuta, D., Wilson, B., Chapman, J., 2022. Final Report and Simulation Program for 'Monitoring Methods for Prioritization and Assessment of Stormwater Practices'. University of Minnesota Water Resources Center. https://hdl.handle.net/11299/22 7895.
  21. Graber, E.R., Borisover, M., 2003. Competitive sorption of organic contaminants in chalk. J. Contam. Hydrol. 67 (1), 159-175. https://doi.org/10.1016/S0169-7722 (03)00072-X. · DOI
  22. Greenway, M., Le Muth, N., Jenkins, G., 2012. Monitoring Spatial and Temporal Changes in Stormwater Quality Through a Series of Treatment Trains. A Case Study-Golden Pond, Brisbane, Australia, pp. 1-16. https://doi.org/10.1061/40644(2002) · DOI
  23. Haritash, A.K., Kaushik, C.P., 2009. Biodegradation aspects of polycyclic aromatic hydrocarbons (PAHs): a review. J. Hazard. Mater. 169 (1), 1-15. https://doi.org/ 10.1016/j.jhazmat.2009.03.137. · DOI
  24. Helsel, D.R., 2010. Summing nondetects: incorporating low-level contaminants in risk assessment. Integr. Environ. Assess. Manag. 6 (3), 361-366. https://doi.org/ 10.1002/ieam. · DOI
  25. Hong, E., Seagren, E.A., Davis, A.P., 2006. Sustainable oil and grease removal from synthetic stormwater runoff using bench-scale bioretention studies. Water Environ. Res. 78 (2), 141-155. https://doi.org/10.2175/106143005X89607. · DOI
  26. Hunt, W.F., Lord, B., Loh, B., Sia, A., 2015. Plant Selection for Bioretention Systems and Stormwater Treatment Practices. Springer, Singapore. https://doi.org/10.1007/978- 981-287-245-6. · DOI
  27. Hutchinson, S.L., Schwab, A.P., Banks, M.K., 2003. Biodegradation of petroleum hydrocarbons in the rhizosphere. In: Phytoremediation. John Wiley & Sons, Ltd., pp. 355-386. https://doi.org/10.1002/047127304X.ch11 · DOI
  28. Imfeld, G., Braeckevelt, M., Kuschk, P., Richnow, H.H., 2009. Monitoring and assessing processes of organic chemicals removal in constructed wetlands. Chemosphere 74 (3), 349-362. https://doi.org/10.1016/j.chemosphere.2008.09.062. · DOI
  29. Kacálková, L., Tlustoš, P., 2011. The uptake of persistent organic pollutants by plants. Open Life Sci. 6 (2), 223-235. https://doi.org/10.2478/s11535-010-0116-z. · DOI
  30. Lange, K., Magnusson, K., Viklander, M., Blecken, G.-T., 2021. Removal of rubber, bitumen and other microplastic particles from stormwater by a gross pollutant trap-bioretention treatment train. Water Res. 202, 117457 https://doi.org/ 10.1016/j.watres.2021.117457. · DOI · Paper page
  31. Lange, K., Viklander, M., Blecken, G.-T., 2022. Investigation of intra-event variations of total, dissolved and truly dissolved metal concentrations in highway runoff and a gross pollutant trap -bioretention stormwater treatment train. Water Res. 216, 118284 https://doi.org/10.1016/j.watres.2022.118284. · DOI
  32. Le Coustumer, S., Fletcher, T.D., Deletic, A., Barraud, S., Poelsma, P., 2012. The influence of design parameters on clogging of stormwater biofilters: a large-scale column study. Water Res. 46 (20), 6743-6752. https://doi.org/10.1016/j. watres.2012.01.026. · DOI
  33. Lefevre, G.H., Novak, P.J., Hozalski, R.M., 2012. Fate of naphthalene in laboratory-scale bioretention cells: implications for sustainable stormwater management. Environ. Sci. Technol. 46 (2), 995-1002. https://doi.org/10.1021/es202266z. · DOI
  34. Leroy, M.C., Legras, M., Marcotte, S., Moncond'huy, V., Machour, N., Le Derf, F., Portet- Koltalo, F., 2015. Assessment of PAH dissipation processes in large-scale outdoor mesocosms simulating vegetated road-side swales. Sci. Total Environ. 520, 146-153. https://doi.org/10.1016/j.scitotenv.2015.03.020. · DOI
  35. Leroy, M.C., Portet-Koltalo, F., Legras, M., Lederf, F., Moncond'huy, V., Polaert, I., & Marcotte, S., 2016. Performance of vegetated swales for improving road runoff quality in a moderate traffic urban area. Sci. Total Environ. 566-567, 113-121. https://doi.org/10.1016/j.scitotenv.2016.05.027. · DOI
  36. Li, Y., Lau, S.-L., Kayhanian, M., Stenstrom, M.K., 2005. Particle size distribution in highway runoff. J. Environ. Eng. 131 (9), 1267-1276. https://doi.org/10.1061/ (ASCE)0733-9372(2005)131:9(1267). · DOI
  37. Lieske, C., Leutnant, D., Uhl, M., 2021. Assessing the TSS removal efficiency of decentralized stormwater treatment systems by long-term in-situ monitoring. Water 13 (7). https://doi.org/10.3390/w13070908 (Article 7). · DOI
  38. Lu, L., Chen, B., 2018. Enhanced bisphenol a removal from stormwater in biochar- amended biofilters: combined with batch sorption and fixed-bed column studies. Environ. Pollut. 243, 1539-1549. https://doi.org/10.1016/j.envpol.2018.09.097. · DOI · Paper page
  39. Lundy, L., Ellis, J.B., Revitt, D.M., 2012. Risk prioritisation of stormwater pollutant sources. Water Res. 46 (20), 6589-6600. https://doi.org/10.1016/j. watres.2011.10.039. · DOI · Paper page
  40. Magnusson, S., Mácsik, J., 2017. Analysis of energy use and emissions of greenhouse gases, metals and organic substances from construction materials used for artificial turf. Resour. Conserv. Recycl. 122, 362-372. https://doi.org/10.1016/j. resconrec.2017.03.007. · DOI
  41. Markiewicz, A., Björklund, K., Eriksson, E., Kalmykova, Y., Strömvall, A.M., Siopi, A., 2017. Emissions of organic pollutants from traffic and roads: priority pollutants selection and substance flow analysis. Sci. Total Environ. 580, 1162-1174. https:// doi.org/10.1016/j.scitotenv.2016.12.074. · DOI · Paper page
  42. Mitchell, C.J., Jayakaran, A.D., McIntyre, J.K., 2023. Biochar and fungi as bioretention amendments for bacteria and PAH removal from stormwater. J. Environ. Manag. 327, 116915 https://doi.org/10.1016/j.jenvman.2022.116915. · DOI
  43. Muerdter, C.P., Özkök, E., Li, L., Davis, A.P., 2016. Vegetation and media characteristics of an effective bioretention cell. J. Sustain. Water Built Environ. 2 (1) https://doi. org/10.1061/JSWBAY.0000804 (04015008). · DOI
  44. Muerdter, C.P., Wong, C.K., LeFevre, G.H., 2018. Emerging investigator series: the role of vegetation in bioretention for stormwater treatment in the built environment: pollutant removal, hydrologic function, and ancillary benefits. Environ. Sci. Water Res. Technol. 4 (5), 592-612. https://doi.org/10.1039/C7EW00511C. · DOI
  45. Murphy, H.M., Meng, Z., Henry, R., Deletic, A., McCarthy, D.T., 2017. Current stormwater harvesting guidelines are inadequate for mitigating risk from Campylobacter during nonpotable reuse activities. Environ. Sci. Technol. 51 (21), 12498-12507. https://doi.org/10.1021/acs.est.7b03089. · DOI
  46. Mutzner, L., Furrer, V., Castebrunet, H., Dittmer, U., Fuchs, S., Gernjak, W., Gromaire, M.-C., Matzinger, A., Mikkelsen, P.S., Selbig, W.R., Vezzaro, L., 2022. A decade of monitoring micropollutants in urban wet-weather flows: what did we learn? Water Res. 223, 118968 https://doi.org/10.1016/j.watres.2022.118968. · DOI
  47. Pamuru, S.T., Forgione, E., Croft, K., Kjellerup, B.V., Davis, A.P., 2022. Chemical characterization of urban stormwater: traditional and emerging contaminants. Sci. Total Environ. 813, 151887 https://doi.org/10.1016/j.scitotenv.2021.151887. · DOI · Paper page
  48. Pettersson, T.J.R., Strömvall, A.M., Ahlman, S., 2005. Underground sedimentation systems for treatments of highway runoff in dense city areas. In: 10th International Conference on Urban Drainage, Copenhagen/Denmark. August.
  49. Purvis, R.A., Winston, R.J., Hunt, W.F., Lipscomb, B., Narayanaswamy, K., McDaniel, A., Lauffer, M.S., Libes, S., 2019. Evaluating the hydrologic benefits of a bioswale in Brunswick County, North Carolina (NC), USA. Water 11 (6). https://doi.org/ 10.3390/w11061291 (Article 6). · DOI
  50. Randelovic, A., Zhang, K., Jacimovic, N., McCarthy, D., Deletic, A., 2016. Stormwater biofilter treatment model (MPiRe) for selected micro-pollutants. Water Res. 89, 180-191. https://doi.org/10.1016/j.watres.2015.11.046. · DOI
  51. Shehab, Z.N., Jamil, N.R., Aris, A.Z., 2020. Occurrence, environmental implications and risk assessment of bisphenol A in association with colloidal particles in an urban tropical river in Malaysia. Sci. Rep. 10 (1) https://doi.org/10.1038/s41598-020- 77454-8 (Article 1). · DOI
  52. Tondera, K., Koenen, S., Pinnekamp, J., 2013. Survey monitoring results on the reduction of micropollutants, bacteria, bacteriophages and TSS in retention soil filters. Water Sci. Technol. 68 (5), 1004-1012. https://doi.org/10.2166/wst.2013.340. · DOI
  53. Wefer-Roehl, A., Graber, E.R., Borisover, M.D., Adar, E., Nativ, R., Ronen, Z., 2001. Sorption of organic contaminants in a fractured chalk formation. Chemosphere 44 (5), 1121-1130. https://doi.org/10.1016/S0045-6535(00)00309-X. · DOI
  54. Wiewel, B.V., Lamoree, M., 2016. Geotextile composition, application and ecotoxicology-a review. J. Hazard. Mater. 317, 640-655. https://doi.org/10.1016/ j.jhazmat.2016.04.060. · DOI
  55. Zarezadeh, V., Lung, T., Dorman, T., Shipley, H.J., Giacomoni, M., 2018. Assessing the performance of sand filter basins in treating urban stormwater runoff. Environ. Monit. Assess. 190 (12), 697. https://doi.org/10.1007/s10661-018-7069-5. · DOI
  56. Zhang, K., Randelovic, A., Page, D., McCarthy, D.T., Deletic, A., 2014. The validation of stormwater biofilters for micropollutant removal using in situ challenge tests. Ecol. Eng. 67, 1-10. https://doi.org/10.1016/j.ecoleng.2014.03.004. · DOI · Paper page
  57. Zhang, K., Valognes, V., Page, D., Deletic, A., McCarthy, D., 2016. Validation of stormwater biofilters using in-situ columns. Sci. Total Environ. 544, 48-55. https:// doi.org/10.1016/j.scitotenv.2015.11.150. · DOI

Authors
Beryani, A., Flanagan, K., Viklander, M., & Blecken, G.-T.
Affiliations
Luleå University of Technology (SE)
Corresponding author
Beryani, Ali
Venue
Science of The Total Environment
Publisher
Elsevier BV
Published
2023-11
Volume
900
Pages
165734
ISSN
0048-9697 (ISSN-L)
OpenAlex
W4385237847
Cited by
21
References
65
Citations by year
2026: 4 · 2025: 11 · 2024: 6
FWCI
1.75
Type
journal article
Language
en
Open access
Locations
  • The Science of The Total Environment (publishedVersion, cc-by)
  • SSRN Electronic Journal (acceptedVersion)
  • PubMed (publishedVersion)
  • KTH Publication Database DiVA (KTH Royal Institute of Technology) (submittedVersion, other-oa)
Funders
  • Swedish Research Council Formas
  • VINNOVA
Topics
  • Physical Sciences › Environmental Science › Environmental Engineering › Urban Stormwater Management Solutions
  • Physical Sciences › Environmental Science › Pollution › Pharmaceutical and Antibiotic Environmental Impacts
  • Physical Sciences › Environmental Science › Waste Management and Disposal › Wastewater Treatment and Reuse
Keywords
organic micropollutants, gross pollutant traps, biofilter, sand filter, polycyclic aromatic hydrocarbons, petroleum hydrocarbons, nonylphenol, 4-t-octylphenol, bisphenol A, pollutant removal efficiency, event mean concentration, suspended solids

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