Abstract
The increasing technological and scientific development to cater the anthropogenic needs has caused a substantial increase of Emerging Contaminants (ECs) in the environment, posing threats to the ecosystem due to their hazardous nature. A successful treatment system for the removal is still not developed because of diversity in the physico-chemical nature of ECs and cost constraints. The mathematical model serves as a good alternative in predicting the transport and fate of the contaminants in the environment. The output of the models may serve as a risk assessment tool and shall be utilized for policy making and control of emerging contaminants in the environment. The paper discusses the processes of transport, fate, and distribution of the ECs in the environment. Also, several models currently in practice have been discussed highlighting their limitations to give clarity of the model to be used for a specific category of contaminant. The paper aims to ease the selection of models for a specific category of EC, scenario, and requirement of the user. The identified limitations will serve a medium for future researchers to easily select a suitable model by applying suitable modifications and performing risk assessment studies.
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References
Armitage JM, Cousins IT, Hauck M, Harbers V, Huijbregts MAJ (2007) Empirical evaluation of spatial and non-spatial European-scale multimedia fate models : results and implications for chemical risk assessment. J Environ Monitor 572–581. https://doi.org/10.1039/b700680b
Berry JA, Wells PG (2004) Integrated fate modeling for exposure assessment of produced water on the Sable Island Bank (Scotian Shelf, Canada). Environ Toxicol Chem 23(10):2483–2493. https://doi.org/10.1897/03-458
Between AC, Multimedia THE, Models E, Assessment FORL, On B, Population THE, Fraction I, Pollutants OFT (2005) Comparaison entre devenir et exposition Huijbregts 2005.pdf. 24(2):486–493
Bowman DM, Van Calster G (2007) Does REACH go too far ? 2:1–2
Caldwell DJ, Aco VD, Davidson T, Kappler K, Murray-smith RJ, Owen SF, Robinson PF, Simon-hettich B, Oliver J, Tell J (2019) Chemosphere environmental risk assessment of metformin and its transformation product guanylurea: II. Occurrence in surface waters of europe and the united states and derivation of predicted no-effect concentrations. Chemosphere 216:855–865. https://doi.org/10.1016/j.chemosphere.2018.10.038
Caudeville J, Bonnard R, Boudet C, Denys S, Govaert G, Cicolella A (2012) Development of a spatial stochastic multimedia exposure model to assess population exposure at a regional scale. Sci Total Environ 432:297–308. https://doi.org/10.1016/j.scitotenv.2012.06.001
Chen Z, Yuan J (2009) An extended environmental multimedia modeling system (EEMMS) for landfill case studies. Environ Forensics 10(4):336–346. https://doi.org/10.1080/15275920903347396
Chen Z, Zhang RR, Wang ZP (2018) An enhanced environmental multimedia modelling system (FEMMS): Part II—user interface and field validation. Environ Eng Manag J 17(4):1009–1020
Ciuffo B, Sala S (2013) Climate-based archetypes for the environmental fate assessment of chemicals. J Environ Manage 129:435–443. https://doi.org/10.1016/j.jenvman.2013.08.016
Cohen Y, Tsai W, Chetty SL, Mayer GJ (1990) Dynamic partitioning of organic chemicals in regional environments: a multimedia screening-level modeling approach. Environ Sci Technol 24(10):1549–1558. https://doi.org/10.1021/es00080a015
Cohen Y, Cooter EJ (2002a) Multimedia environmental distribution of toxics Mend-Tox II : software implementation and case studies. 6:87–101. https://doi.org/10.1061/(ASCE)1090-025X(2002)6
Cohen Y, Cooter EJ (2002b) Multimedia environmental distribution of toxics (Mend-Tox). I: hybrid compartmental-spatial modeling framework. Pract Period Hazard, Toxic, Radioact Waste Manag 6(2):70–86. https://doi.org/10.1061/(ASCE)1090-025X(2002b)6:2(70))
Cooter EJ, Cohen Y (2001) Model evaluation of dry deposition to vegetation for volatile and semi-volatile organic compounds in a multimedia environment. Air-Surf Exch Gases Part 2000:285–294. https://doi.org/10.1007/978-94-010-9026-1_28
Diamond, 1989 Diamond M (1989) No Title. 18(1980):1343–1365
Documentation T (2009) SWAT 2009 theoretical documentation
Dumont E, Williams R, Keller V, Voß A, Tattari S (2012) Modélisation d’indicateurs de sécurité de l’eau, de pollution de l’eau, et de biodiversité aquatique en Europe. Hydrol Sci J 57(7):1378–1403. https://doi.org/10.1080/02626667.2012.715747
Dunnivant and Anders, 2005 Dunnivant FM, Anders E (2005) A basic introduction to pollutant fate and transport. https://doi.org/10.1002/0471758132
Environmental C, Centre M (2001) BETR North America: a regionally segmented multimedia contaminant fate model for North America 8(3):156–163
Foss S, Carlsen L, Tickner JA (2007) Chemicals regulation and precaution: does REACH really incorporate the precautionary principle. 10:395–404. https://doi.org/10.1016/j.envsci.2007.01.001
Franco A, Ferranti A, Davidsen C (2013) An unexpected challenge: Ionizable compounds in the REACH chemical space. 321–325. https://doi.org/10.1007/s11367-010-0165-6
Fryer M, Collins CD, Ferrier H, Colvile RN, Nieuwenhuijsen MJ (2006) Human exposure modelling for chemical risk assessment: a review of current approaches and research and policy implications. Environ Sci Policy 9(3):261–274. https://doi.org/10.1016/j.envsci.2005.11.011
Gavrilescu M, Demnerová K, Aamand J, Agathos S, Fava F (2015) Emerging pollutants in the environment: Present and future challenges in biomonitoring, ecological risks and bioremediation. New Biotechnol 32(1):147–156. https://doi.org/10.1016/j.nbt.2014.01.001
Goyena R (2019) A Quantitative water, air, sediment interaction (QWASI) fugacity model for describing the fate of chemicals in lakes. J Chem Inf Model 53(9):1689–1699. https://doi.org/10.1017/CBO9781107415324.004
Grassi M, Kaykioglu G, Belgiorno V, Lofrano G (2012) Removal of emerging contaminants from water and wastewater by adsorption process, pp 15–37. https://doi.org/10.1007/978-94-007-3916-1_2
Hansen KM, Prevedouros K, Sweetman AJ, Jones KC, Christensen JH (2006) A process-oriented inter-comparison of a box model and an atmospheric chemistry transport model: insights into model structure using α-HCH as the modelled substance. Atmos Environ 40(12):2089–2104. https://doi.org/10.1016/j.atmosenv.2005.11.050
Hollander A, Scheringer M, Shatalov V, Mantseva E, Sweetman A, Roemer M, Baart A, Suzuki N, Wegmann F, Van De Meent D (2008) Estimating overall persistence and long-range transport potential of persistent organic pollutants: a comparison of seven multimedia mass balance models and atmospheric transport models. J Environ Monit 10(10):1139–1147. https://doi.org/10.1039/b803760d
Hollander A, Hauck M, Cousins IT (2012) Assessing the relative importance of spatial variability in emissions versus landscape properties in fate models for environmental exposure assessment of chemicals. pp 577–587 https://doi.org/10.1007/s10666-012-9315-5
Hollander A (2008) Spatial variation in multimedia mass balance models. http://hdl.handle.net/2066/53744%0APlease
Huang Y, Dai Z, Zhang W (2014) Geo-disaster modeling and analysis: an SPH-based approach 2008. 1–189. https://doi.org/10.1007/978-3-662-44211-1
Johnson AC, Keller V, Williams RJ, Young A (2007) A practical demonstration in modelling diclofenac and propranolol river water concentrations using a GIS hydrology model in a rural UK catchment. Environ Pollut 146(1):155–165. https://doi.org/10.1016/j.envpol.2006.05.037
Johnson AC, Dumont E, Williams RJ, Oldenkamp R, Cisowska I, Sumpter JP (2013) Do concentrations of ethinylestradiol, estradiol, and diclofenac in European rivers exceed proposed EU environmental quality standards? Environ Sci Technol 47(21):12297–12304. https://doi.org/10.1021/es4030035
Kehrein N, Berlekamp J, Klasmeier J (2015) Modeling the fate of down-the-drain chemicals in whole watersheds: new version of the GREAT-ER software. Environ Model Softw 64:1–8. https://doi.org/10.1016/j.envsoft.2014.10.018
Keller V (2006) Risk assessment of “down-the-drain” chemicals: search for a suitable model. Sci Total Environ 360(1–3):305–318. https://doi.org/10.1016/j.scitotenv.2005.08.042
Keller VDJ, Lloyd P, Terry JA, Williams RJ (2015) Impact of climate change and population growth on a risk assessment for endocrine disruption in fish due to steroid estrogens in england and wales. Environ Pollut 197:262–268. https://doi.org/10.1016/j.envpol.2014.11.017
Kim GN, Moon JK, Lee KW (2010) An analysis of the effect of hydraulic parameters on radionuclide migration in an unsaturated zone. Nucl Eng Technol 42(5):562–567. https://doi.org/10.5516/NET.2010.42.5.562
Klepper O, Den Hollander HA (1999) A comparison of spatially explicit and box models for the fate of chemicals in water, air and soil in Europe. Ecol Model 116(2–3):183–202. https://doi.org/10.1016/S0304-3800(98)00161-6
Koormann F, Rominger J, Schowanek D, Wagner JO, Schröder R, Wind T, Silvani M, Whelan MJ (2006) Modeling the fate of down-the-drain chemicals in rivers: an improved software for GREAT-ER. Environ Model Softw 21(7):925–936. https://doi.org/10.1016/j.envsoft.2005.04.009
Lamastra L, Balderacchi M, Trevisan M (2016) Inclusion of emerging organic contaminants in groundwater monitoring plans. MethodsX 3(May):459–476. https://doi.org/10.1016/j.mex.2016.05.008
Lindim C, Gils JV, Cousins IT, Kühne R, Georgieva D, Kutsarova S, Mekenyan O (2017) Model-predicted occurrence of multiple pharmaceuticals in Swedish surface waters and their fl ushing to the Baltic Sea *. Environ Pollut 223:595–604. https://doi.org/10.1016/j.envpol.2017.01.062
Luo Y, Zhang M (2009) Management-oriented sensitivity analysis for pesticide transport in watershed-scale water quality modeling using SWAT. Environ Pollut 157(12):3370–3378. https://doi.org/10.1016/j.envpol.2009.06.024
Mackay D, Arnot JA (2011) The application of fugacity and activity to simulating the environmental fate of organic contaminants. 1348–1355. https://doi.org/10.1021/je101158y
Mackay D, Paterson S (1986) The fugacity approach to multimedia environmental modeling. In: Pollutants in a multimedia environment 1978, pp 117–131. https://doi.org/10.1007/978-1-4613-2243-6_6
Macleod M, Waldow HV, Tay P, Armitage JM, Wöhrnschimmel H, Riley WJ, Mckone TE, Hungerbuhler K (2011) Short communication BETR global e a geographically-explicit global-scale multimedia contaminant fate model. Environ Pollut 159(5):1442–1445. https://doi.org/10.1016/j.envpol.2011.01.038
Öberg T, Iqbal MS (2012) Chemosphere the chemical and environmental property space of REACH chemicals. 87:975–981. https://doi.org/10.1016/j.chemosphere.2012.02.034
Oldenkamp R, Hoeks S, Čengić M, Barbarossa V, Burns EE, Boxall ABA, Ragas AMJ (2018) A high-resolution spatial model to predict exposure to pharmaceuticals in European surface waters: EPiE. Environ Sci Technol 52(21):12494–12503. https://doi.org/10.1021/acs.est.8b03862
Pistocchi A (2008) A GIS-based approach for modeling the fate and transport of pollutants in Europe. Environ Sci Technol 42(10):3640–3647. https://doi.org/10.1021/es071548+
Pistocchi A, Sarigiannis DA, Vizcaino P (2010a) Spatially explicit multimedia fate models for pollutants in Europe: state of the art and perspectives. Sci Total Environ 408(18):3817–3830. https://doi.org/10.1016/j.scitotenv.2009.10.046
Pistocchi A, Zulian G, Vizcaino P, Marinov D (2010b) Multimedia assessment of pollutant pathways in the environment, European scale model (MAPPE-EUROPE). JRC Scientific and Technical Reports EUR 24256 EN–2010b. In Mappe-Europe 24256, https://doi.org/10.2788/63765
Price OR, Williams RJ, van Egmond R, Wilkinson MJ, Whelan MJ (2010a) Predicting accurate and ecologically relevant regional scale concentrations of triclosan in rivers for use in higher-tier aquatic risk assessments. Environ Int 36(6):521–526. https://doi.org/10.1016/j.envint.2010.04.003
Price OR, Williams RJ, Zhang Z, van Egmond R (2010b) Modelling concentrations of decamethylcyclopentasiloxane in two UK rivers using LF2000-WQX. Environ Pollut 158(2):356–360. https://doi.org/10.1016/j.envpol.2009.09.013
Rong-Rong Z, Che-Sheng Z, Zhong-Peng H, Xiao-Meng S (2012) Review of environmental multimedia models. Environ Forensics 13(3):216–224. https://doi.org/10.1080/15275922.2012.702328
Schenker U, Scheringer M, Hungerbühler K (2007) Including degradation products of persistent organic pollutants in a global multi-media box model. Environ Sci Pollut Res 14(3):145–152. https://doi.org/10.1065/espr2007.03.398
Schenker U, Scheringer M, Hungerbühler K (2008) Investigating the global fate of DDT: model evaluation and estimation of future trends. Environ Sci Technol 42(4):1178–1184. https://doi.org/10.1021/es070870h
Scheringer M (1996) Persistence and spatial range as endpoints of an exposure-based assessment of organic chemicals. 30(5):1652–1659. https://doi.org/10.1021/es9506418
M Scheringer F Wegmann K Hungerbu 2000 Investigation of the cold condensation of persistent organic pollutants with a global multimedia fate model. Environ Sci Technol 34(9):1842–1850. https://doi.org/10.1021/es991085a
Semplice M, Ghirardello D, Morselli M, Di Guardo A (2012) Guidance on the selection of efficient computational methods for multimedia fate models. https://doi.org/10.1021/es201928d
Sleeswijk AW, Heijungs R (2010) Science of the total environment GLOBOX: a spatially differentiated global fate, intake and effect model for toxicity assessment in LCA. Sci Total Environ 408(14):2817–2832. https://doi.org/10.1016/j.scitotenv.2010.02.044
Sleeswijk AW (2003) General prevention and risk minimization in LCAA combined approach. 10(1):69–77
Sleeswijk AW (2011) Regional LCA in a global perspective. A basis for spatially differentiated environmental life cycle assessment. 106–112. https://doi.org/10.1007/s11367-010-0247-5
Song HM, Xu LY (2011) A method of urban ecological risk assessment: combining the multimedia fugacity model and GIS. Stoch Env Res Risk Assess 25(5):713–719. https://doi.org/10.1007/s00477-011-0476-6
Su C, Zhang H, Cridge C, Liang R (2019) Science of the total environment a review of multimedia transport and fate models for chemicals: principles, features and applicability. Sci Total Environ 668:881–892. https://doi.org/10.1016/j.scitotenv.2019.02.456
Tijani JO, Fatoba OO, Babajide OO, Petrik LF (2016) Pharmaceuticals, endocrine disruptors, personal care products, nanomaterials and perfluorinated pollutants: a review. Environ Chem Lett 14(1):27–49. https://doi.org/10.1007/s10311-015-0537-z
Trinh HT, Adriaens P, Lastoskie CM (2016) Fate factors and emission flux estimates for emerging contaminants in surface waters. 3:21–44. https://doi.org/10.3934/environsci.2016.1.21
Tsihrintzis VA, Hamid R, Fuentes HR (1996) Use of geographic information systems (GIS) in water resources: a review. Water Resour Manage 10(4):251–277. https://doi.org/10.1007/BF00508896
Valsaraj KT, Thibodeaux LJ (2010) On the physicochemical aspects of the global fate and long-range atmospheric transport of persistent organic pollutants. J Phys Chem Lett 1(11):1694–1700. https://doi.org/10.1021/jz100450f
Wania F, Mackay D (1995) A global distribution model for persistent organic chemicals. Sci Total Environ 160–161(C):211–232. https://doi.org/10.1016/0048-9697(95)04358-8
Warren C, Mackay D, Whelan M, Fox K (2005) Mass balance modelling of contaminants in river basins: a flexible matrix approach. 61:1458–1467. https://doi.org/10.1016/j.chemosphere.2005.04.118
Wegmann F, Cavin L, MacLeod M, Scheringer M, Hungerbühler K (2009) The OECD software tool for screening chemicals for persistence and long-range transport potential. Environ Model Softw 24(2):228–237. https://doi.org/10.1016/j.envsoft.2008.06.014
Wielen A (2007) REACH: next Step to a Sound Chemicals Management.https://doi.org/10.1038/sj.jes.7500598
Wilkinson J, Hooda PS, Barker J, Barton S, Swinden J (2017) Occurrence, fate and transformation of emerging contaminants in water: an overarching review of the field. Environ Pollut 231:954–970. https://doi.org/10.1016/j.envpol.2017.08.032
Woodfine DG, MacLeod M, Mackay D, Brimacombe JR (2001) Development of continental scale multimedia contaminant fate models: integrating GIS. Environ Sci Pollut Res 8(3):164–172. https://doi.org/10.1007/BF02987380
Yan S, Subramanian SB, Tyagi RD, Surampalli RY, Zhang TC (2010) Emerging contaminants of environmental concern: Source, transport, fate, and treatment. Pract Periodi Hazard Toxic Radioactive Waste Manag 14(1):2–20. https://doi.org/10.1061/(ASCE)HZ.1944-8376.0000015
You K (n.d.) Development of fate and transport department of urban and environmental engineering graduate school of UNIST
Yuan J, Elektorowicz M, Chen Z (2011a) Improved environmental multimedia modeling and its sensitivity analysis. Water Sci Technol 63(10):2155–2163. https://doi.org/10.2166/wst.2011.343
Yuan J, Elektorowicz M, Chen Z (2011b) Improved environmental multimedia modeling and its sensitivity analysis. 10:2155–2164. https://doi.org/10.2166/wst.2011.343
Yuan J, Elektorowicz M (2020) Extended environmental multimedia modeling system assessing the risk carried by pollutants in interacted air-unsaturated-groundwater zones. J Hazard Mater 381:120852
Yuan J, Elektorowicz M (2020b) Extended environmental multimedia modeling system assessing the risk carried by pollutants in interacted air-unsaturated-groundwater zones. J Hazard Mater, 381:120852. https://doi.org/10.1016/j.jhazmat.2019.120852
Yuan J (2009) Development of an extended environmental multimedia modeling system (EEMMS). In: Aspectos Generales De La Planificación Tributaria En Venezuela, (Issue December)
Zhan C, Zhang R, Song X, Liu B (2015) An enhanced environmental multimedia modeling system based on fuzzy-set approach: I. theoretical framework and model development. Front Environ Sci Eng 9(3):494–505. https://doi.org/10.1007/s11783-013-0609-x
Zhang Q, Crittenden JC, Shonnard D, Mihelcic JR (2003) Development and evaluation of an environmental multimedia fate model CHEMGL for the Great Lakes region. Chemosphere 50(10):1377–1397. https://doi.org/10.1016/S0045-6535(02)00760-9
Zhang Q-Q, Ying G, Chen Z (2015) Basin-scale emission and multimedia fate of triclosan in whole China. 10130–10143. https://doi.org/10.1007/s11356-015-4218-z
Żur J, Piński A, Marchlewicz A, Hupert-Kocurek K, Wojcieszyńska D, Guzik U (2018) Organic micropollutants paracetamol and ibuprofen—toxicity, biodegradation, and genetic background of their utilization by bacteria. Environ Sci Pollut Res 25(22):21498–21524. https://doi.org/10.1007/s11356-018-2517-x
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Ashraf, M., Ahammad, S.Z., Chakma, S. (2022). Recent Advances in the Occurrence, Transport, Fate, and Distribution Modeling of Emerging Contaminants–A Review. In: Dubey, S.K., Jha, P.K., Gupta, P.K., Nanda, A., Gupta, V. (eds) Soil-Water, Agriculture, and Climate Change. Water Science and Technology Library, vol 113. Springer, Cham. https://doi.org/10.1007/978-3-031-12059-6_10
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