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Framework for Assessment of Organic Micropollutant Removals During Managed Aquifer Recharge and Recovery

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Riverbank Filtration for Water Security in Desert Countries

Abstract

Managed aquifer recharge and recovery (MAR) is a reliable and proven process, in which water quality can be improved by different physical, biological, and chemical reactions during soil passage. MAR can potentially be included in a multi-barrier treatment system for organic micropollutant (OMP) removal in drinking water treatment and wastewater reuse schemes. However, there is a need to develop assessment tools to help implement MAR as an effective barrier in attenuating different OMPs including pharmaceuticals and endocrine disruptors. In this study, guidelines were developed for different classes of organic micropollutants, in which removal efficiencies of these compounds are determined as a function of travel times and distances. Moreover, a quantitative structure activity relationship (QSAR) based model was proposed to predict the removals of organic micropollutants by MAR. The QSAR approach is especially useful for compounds with little information about their fate during soil passage. Such an assessment framework for organic micropollutant removal is useful for adapting MAR as a multi-objective (-contaminant) barrier and understanding different classes of compounds during soil passage and the determination of post treatment requirements for MAR.

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References

  • Bennett ER, Clausen J, Linkov E, Linkov I (2009) Predicting physical properties of emerging compounds with limited physical and chemical data: QSAR model uncertainty and applicability to military munitions. Chemosphere 77:1412–1418

    Article  Google Scholar 

  • Cambridge Soft Corporation, CS Chem3D Ultra 7.0, USA. http://www.cambridgesoft.com/

  • Carson L, Walker JD (2003) QSAR for prioritizing PBT substances to promote pollution prevention. QSAR Comb Sci 22:49–57

    Article  Google Scholar 

  • Eriksson L, Jaworska J, Worth AP et al (2003) Methods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARs. Environ Health Persp 111(10):1361–1375

    Article  Google Scholar 

  • Ghasemi JB, Abdolmaleki A, Mandoumi N (2009) A quantitative structure property relationship for prediction of solubilization of hazardous compounds using GA-based MLR in CTAB micellar media. J Hazard Mater 161:74–80

    Article  Google Scholar 

  • Gramatica P (2007) Principles of QSAR models validation: internal and external. QSAR Comb Sci 26(5):694–701

    Article  Google Scholar 

  • Grünheid S, Amy G, Jekel M (2005) Removal of bulk dissolved organic carbon (DOC) and trace organic compounds by bank filtration and artificial recharge. Water Res 39:3219–3228

    Article  Google Scholar 

  • Heberer T, Adam M (2004) Transport and attenuation of pharmaceutical residues during artificial groundwater replenishment. Environ Chem 1:22–25

    Article  Google Scholar 

  • Heberer T, Massmann G, Fanck B et al (2008) Behaviour and redox sensitivity of antimicrobial residues during bank filtration. Chemosphere 73:451–460

    Article  Google Scholar 

  • Heberer T, Mechlinski A, Fanck B et al (2004) Field studies on the fate and transport of pharmaceutical residues in bank filtration. Ground Water Monit R 24:70–77

    Article  Google Scholar 

  • Jekel M, Grünheid S (2005) Bank filtration and groundwater recharge for treatment of polluted surface waters. Water Sci Technol 5:57–66

    Google Scholar 

  • Maeng SK, Abel CDT, Sharma SK et al (2009) Impact of biodegradability of natural organic matter on removal of pharmaceutically active compounds during riverbank filtration. In: van der Helm AWC, Heijman GSJ (eds) High quality drinking water conferences (9–10 June, 2009), Delft, The Netherlands

    Google Scholar 

  • Mechlinski A, Heberer T (2005) Fate and transport of pharmaceutical residues during bank filtration. In: Proceedings of 5th international symposium on management of aquifer recharge, (10–16 June, 2005), Berlin

    Google Scholar 

  • OECD (2003) SIDS Initial Assessment Report for SIAM 17. UNEP PUBLICATIONS. http://www.inchem.org/documents/sids/sids/288324.pdf. Accessed 07 January 2010

  • Scheytt T, Mersmann P, Leidig M et al (2004) Transport of pharmaceutically active compounds in saturated laboratory columns. Ground Water 42:767–773

    Article  Google Scholar 

  • Schmidt CK, Lange FT, Brauch HJ (2007) Characteristics and evaluation of natural attenuation processes for organic micropollutant removal during riverbank filtration. In: Proceedings of the Regional IWA conference on groundwater management in the Danube River Basin and other large River Basins, (7–9 June, 2007), Belgrade

    Google Scholar 

  • Schmidt CK, Lange FT, Brauch HJ, Kühn W (2003) Experiences with riverbank filtration and infiltration in Germany. International symposium on artificial recharge of groundwater. K-WATER, Daejon, Korea, pp. 117–131

    Google Scholar 

  • Talete srl, DRAGON, for Windows (Software for Molecular Descriptors Calculations). Version 5.5 – 2007. http://www.talete.mi.it/

  • Talete srl, MobyDigs – software for multilinear regression analysis and variable subset selection by genetic algorithm, in: Version 1.1 – 2009. http://www.talete.mi.it/

  • US EPA (2009) Estimation Programs Interface SuiteTM for Microsoft Windows, v 4.00, United States Environmental Protection Agency, Washington, DC, USA

    Google Scholar 

  • Verstraeten IM, Heberer T, Scheytt T (2002) Occurrence, characteristics, and transport and fate of pesticides, pharmaceutical active compounds, and industrial and personal care products at bank-filtration sites. In: Ray C, Melin G, Linsky RB (eds) Riverbank filtration: Improving source-water quality. Kluwer, Dordrecht, 175–227

    Google Scholar 

  • Walker JD, Jaworska J, Comber MH et al (2003) Guidelines for developing and using quantitative structure-activity relationships. Environ Toxicol Chem 22(8):1653–1665

    Article  Google Scholar 

  • Yangali-Quintanilla V, Sadmani A, McConville M et al. (2010) A QSAR model for predicting rejection of emerging contaminants (pharmaceuticals, endocrine disruptors) by nanofiltration membranes. Water Res 44(2):373–384

    Article  Google Scholar 

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Acknowledgments

We would like to acknowledge the help of Mr. Emmanuel Ameda for the support on data collection for developing guidelines. This study was financially supported by K-WATER (Korea Resources Water Resources Corporation).

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Correspondence to Sung Kyu Maeng .

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Maeng, S.K., Sharma, S.K., Amy, G. (2011). Framework for Assessment of Organic Micropollutant Removals During Managed Aquifer Recharge and Recovery. In: Shamrukh, M. (eds) Riverbank Filtration for Water Security in Desert Countries. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0026-0_9

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