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Part of the book series: NATO ASI Series ((NAIV,volume 2))

Abstract

Using the European Union System for the Evaluation of Substances (EUSES) and the Geography-referenced Regional Exposure Assessment Tool for European Rivers (GREAT-ER) regional exposure assessments were performed for the polycyclic musk fragrance HHCB (1,3,4,6,7,8-hexahydro-4,6,6,7,8,8-hexamethyl-cyclopenta-[g]-2-benzopyrane; trade name: e.g. Galaxolide®), Starting with a generic standard region a spatial refinement was carried out for the German River Ruhr region. The refinement was realised in different scenarios by successively replacing EUSES default parameters with realistic regional values and then applying the selected region to GREAT-ER. The results were compared to monitoring data from the region of North Rhine-Westphalia (River Ruhr). It was shown that EUSES estimates the median of the measured values very well in every scenario. Spatial refinement leads to lower concentrations. Even underestimations are possible if realistic regional parameters are inserted and a ready biodegradability is assumed. The lowest deviations to measured values are the average concentrations calculated by GREAT-ER, however, much more data are needed to perform a reasonable regional assessment. Furthermore, assuming the same region, the predicted concentrations of EUSES and GREAT-ER do not differ by more than a factor of 5. In addition, GREAT-ER delivers realistic regional information with visualised concentration profiles and maps.

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References

  1. EC (1996). Technical Guidance Document in Support of the Commission Directive 93/67/EEC on Risk Assessment for New Notified Substances and the Commission Regulation (EC) 1488/94 on Risk Assessment for Existing Substances, Parts I–IV. Office for Official Publications of the European Communities, Luxembourg

    Google Scholar 

  2. EC (1996). EUSES — the European Union System for the Evaluation of Substances. Institute of Public Health and the Environment (RIVM), The Netherlands. Available from European Chemicals Bureau, Ispra

    Google Scholar 

  3. ECETOC (1999). GREAT-ER User Manual. Special Report No. 16. ECETOC, Brussels

    Google Scholar 

  4. Matthies, M.; J.-O. Wagner; F. Koormann (1997). Combination of Regional Exposure Models for European Rivers with GIS Information. In: Proceedings of ECO-INFORMA’ 97 (Eds. K. Alef et al.), Vol. 12, 523–529, Eco-Informa Press, Bayreuth

    Google Scholar 

  5. Boeije, G.; J.-O. Wagner; F. Koormann; P. Vanrolleghem; D. Schowanek; T. Feijtel (1999). New PEC Definitions for River Basins applicable to GIS-based Environmental Exposure Assessment (Contribution to GREAT-ER #8), Chemosphere (accepted)

    Google Scholar 

  6. Ohloff, G. (1990). Riechstoffe und Geruchssinn: Die molekulare Welt der Düfte. Springer, Heidelberg

    Book  Google Scholar 

  7. Rimkus, G.; H. Brunn (1996). Synthetische Moschusduftstoffe — Anwendung, Anreicherung in der Umwelt und Toxikologie; Teil 1: Herstellung, Anwendung, Vorkommen in Lebensmitteln, Aufnahme durch den Menschen. Ernährungs-Umschau 43, 442–449

    CAS  Google Scholar 

  8. Bester, K.; H. Hühnerfuss; W. Lange; G. Rimkus; N. Theobald (1998). Results of non target screening of lipophilic organic pollutants in the German Bight II: Polycyclic Musk Fragrances. Water Research 32, 1857–1863

    Article  CAS  Google Scholar 

  9. Eschke, H.D.; J. Traud; H.J. Dibowski (1994). Untersuchungen zum Vorkommen polycyclischer Moschus-Duftstoffe in verschiedenen Umweltkompartimenten -Nachweis und Analytik mit GC/MS in Oberflächen-, Abwässern und Fischen (1. Mitteilung). Z. Umweltchem. Ökotox. 6, 183–189

    Article  CAS  Google Scholar 

  10. Eschke, H.D.; J. Traud; H.J. Dibowski (1995). Untersuchungen zum Vorkommen polycyclischer Moschus-Duftstoffe in verschiedenen Umweltkompartimenten -Befunde in Oberflächen-, Abwässern und Fischen sowie in Waschmitteln und Kosmetika (2. Mitteilung). Z. Umweltchem. Ökotox. 7, 131–138

    Article  CAS  Google Scholar 

  11. Eschke, H.D.; J. Traud; H.J. Dibowski (1995). Nachweis und Quantifizierung von polycyclischen Moschus-Duftstoffen mittels Ion-Trap GC/MS/MS in Humanfett und Muttermilch. Dt. Lebensmittel-Rundschau 12, 375–379

    Google Scholar 

  12. Rimkus, G.; M. Wolf (1996). Polycyclic musk fragrances in human adipose tissue and milk. Chemosphere 33, 2033–2043

    Article  CAS  Google Scholar 

  13. Winkler, M.; G. Kopf; C. Hauptvogel; T. Neu (1998). Fate of artificial musk fragrances associated with suspended particulate matter (SPM) from the River Elbe (Germany) in comparison to other organic contaminants. Chemosphere 37, 1139–1158

    Article  CAS  Google Scholar 

  14. Gatermann, R.; J. Hellou; H. Hühnerfuss; G. Rimkus; V. Zitko (1999). Polycyclic and Nitro Musks in the Environment: A comparison between Canadian and European Aquatic Biota. Chemosphere 38, 3431–3441

    Article  CAS  Google Scholar 

  15. Spencer, P.S.; A.B. Sterman; D.S. Horopian; M.M. Foulds (1979). Neurotoxic fragrance produces ceroid and Myelin Disease. Science 20, 633–635

    Article  Google Scholar 

  16. Plassche, E.J. van de; F. Balk (1997). Environmental risk assessment of the polycyclic musks AHTN and HHCB accord ing to the EU-TGD. National Institute of Public Health and the Environment (RIVM), Report 601503008, Bilthoven

    Google Scholar 

  17. Schwartz, S.; V. Berding; M. Matthies (1999). Aquatic Fate Assessment of the Polycyclic Musk Fragrance HHCB -Scenario and Variability Analysis in Accordance with the EU Risk Assessment Guidelines. Chemosphere (accepted)

    Google Scholar 

  18. Schwartz, S.; V. Berding; M. Matthies (1999). Umweltexpositionsabschätzung des polycyclischen Moschus-Duftstoffes HHCB -Szenarienanalyse mit EUSES. Umweltmed. Forsch. Prax. 4, 7–11

    CAS  Google Scholar 

  19. AWWR (1997). Ruhrwassergütebericht. The study group of the waterworks at the Ruhr (AWWR) and Ruhrverband, Essen

    Google Scholar 

  20. Berding, V.; S. Schwartz; M. Matthies (1999). Visualisation of the Complexity of EUSES. Environ. Sci. & Pollut. Res. 6, 37–43

    Article  CAS  Google Scholar 

  21. Berding, V.; S. Schwartz; M. Matthies (1999). Scenario analysis of a Level III multimedia model using generic and regional data. Environ. Sci. & Pollut. Res. (submitted)

    Google Scholar 

  22. Feijtel, T.C.J.; G. Boeije; M. Matthies; A. Young; G. Morris; C. Gandolfi; B. Hansen; K. Fox; M. Holt: V. Koch; R. Schröder; G. Cassani; D. Schowanek; J. Rosenblom; H. Niessen (1997). Development of a Geography-referenced Regional Exposure Assessment Tool for European Rivers GREAT-ER; Chemosphere 34 (11), 2351–2374

    Article  CAS  Google Scholar 

  23. Struijs, J. (1996): SimpleTreat 3.0: a model to predict the distribution and elimination of chemicals by sewage treatment plants. Report No. 719101025. National Institute of Public Health and Environmental Protection (RIVM), Bilthoven, The Netherlands

    Google Scholar 

  24. Boeije, G. (1999). Chemical fate prediction for use in the gee-referenced environmental exposure assessment, PhD thesis, University of Gent, Belgium

    Google Scholar 

  25. Dyck, S. (1980). Angewandte Hydrologie, Teil 1 — Berechnung und Regelungdes Durchflusses der Flüsse. Ernst, Berlin, München, Germany

    Google Scholar 

  26. Bundesanstalt fur Gewässerkunde (1993). Jahrbuch Bundesrepublik Deutschland, (German Hydrologic Yearbook, Federal Institute of Hydrology) Koblenz, Germany

    Google Scholar 

  27. Round, C.E., A.R. Young; K. Fox (1998). A regional1y applicable model for estimating flow velocity at ungauged river sites in the UK. Journal of the Chartered Institution of Water and Environmental Management 12(6), 402–405

    Article  Google Scholar 

  28. Ruhrverband (1999). Basic information on sewage treatment plants of the Ruhrverband — Personal communication. Ruhrverband (Institution for River Ruhr Water Management), Essen

    Google Scholar 

  29. NRW (1994). Ternes Jahresberichte, Tabellenband 1994. Landesumweltamt Nordrhein-Westfalen, Düsseldorf

    Google Scholar 

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© 2001 Springer Science+Business Media Dordrecht

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Berding, V., Koormann, F., Schwartz, S., Wagner, JO., Matthies, M. (2001). Spatial Refinement of Regional Exposure Assessment. In: Linders, J.B.H.J. (eds) Modelling of Environmental Chemical Exposure and Risk. NATO ASI Series, vol 2. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0884-6_18

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  • DOI: https://doi.org/10.1007/978-94-010-0884-6_18

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-0-7923-6776-5

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