Substance or space? The relative importance of substance properties and environmental characteristics in modeling the fate of chemicals in europe

Environmental Toxicology and Chemistry

Volumn 28, Issue 1, 2009, Pages 44-51

  Hollander, Anne ^a,b   Pistocchi, Alberto ^c   Huijbregts, Mark A J ^a   Ragas, Ad M J ^a   Van De Meent, Dik ^a,b  

^a RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

^b NATIONAL INSTITUTE FOR PUBLIC HEALTH AND THE ENVIRONMENT   (Netherlands)

^c JOINT RESEARCH CENTRE   (Italy)

Author keywords

Concentration range; Environmental characteristics; Model scale; Multimedia mass balance models; Spatial variation

Indexed keywords

CONCENTRATION RANGES; ENVIRONMENTAL CHARACTERISTIC; MASS BALANCE MODEL; MODEL SCALE; SPATIAL VARIATIONS;

CONCENTRATION (PROCESS); DEGRADATION; GEOLOGIC MODELS; ORGANIC CHEMICALS; REGRESSION ANALYSIS; RISK ASSESSMENT; RISK MANAGEMENT; SOILS;

SOIL POLLUTION;

ORGANIC COMPOUND; WATER;

ENVIRONMENTAL ASSESSMENT; ENVIRONMENTAL FATE; ENVIRONMENTAL MODELING; MASS BALANCE; NUMERICAL MODEL; PARTITION COEFFICIENT; REGRESSION ANALYSIS; SOIL ANALYSIS; SPATIAL VARIATION;

AIR; ARTICLE; CALCULATION; DEGRADATION; ENVIRONMENTAL FACTOR; ENVIRONMENTAL IMPACT; ENVIRONMENTAL PARAMETERS; EUROPE; PARAMETER; PARTITION COEFFICIENT; PREDICTION; PRIORITY JOURNAL; RISK ASSESSMENT; SOIL; POLLUTANT; THEORETICAL MODEL;

EUROPE;

ENVIRONMENTAL POLLUTANTS; EUROPE; MODELS, THEORETICAL;

EID: 65449150273     PISSN: 07307268     EISSN: 15528618     Source Type: Journal    
DOI: 10.1897/08-158.1     Document Type: Article

References (40)

1. Webster E, Mackay D. 2003. Defining uncertainty and variability in environmental fate models. CEMC Report 200301. Trent University, Peterborough, ON, Canada.
2. MacLeod M, Fraser AJ, Mackay D. 2002. Evaluating and expressing the propagation of uncertainty in chemical fate and bioaccumulation models. Environ Toxicol Chem 21:700-709.
3. Hertwich EG, McKone TE, Pease WS. 1999. Parameter uncertainty and variability in evaluative fate and exposure models. Risk Analysis 19:1193-1204.
4. Maddalena RL, McKone TE, Hshieh DPH, Geng S. 2001. Influential input classification in probabilistic multimedia models. Stochastic Environmental Research and Risk Assessment 15:1-17.
5. Kühne R, Breitkopf C, Schüürmann G. 1997. Error propagation in fugacity Level III models in the case of uncertain physicochemical compound properties. Environ Toxicol Chem 16:2067-2069.
6. Huijbregts MAJ, Thissen U, Jager T, van de Meent D, Ragas AMJ. 2000. Priority assessment of toxic substances in life cycle assessment. Part II: Assessing parameter uncertainty and human variability in the calculation of toxicity potentials. Chemosphere 41:575-588.
7. Webster E, Mackay D, Di Guardo A, Kane D, Woodfine D. 2004. Regional differences in multimedia fate model outcome. Chemosphere 55:1361-1376.
8. Fenner K, Scheringer M, MacLeod M, Matthies M, McKone T, Stroebe M, Beyer A, Bonnell M, Le Gall AC, Klasmeier J, Mackay D, Van de Meent D, Pennington D, Scharenberg B, Suzuki N, Wania F. 2005. Comparing estimates of persistence and longrange transport potential among multimedia models. Environ Sci Technol 39:1932-1942.
9. Cowan CE, Mackay D, Feijtel TCJ, Van de Meent D, Di Guardo A, Davies J, Mackay N. 1995. The Multimedia Fate Model: A Vital Tool for Predicting the Fate of Chemicals. SETAC, Pensacola, FL, USA.
10. Mackay D. 2001. Multimedia Environmental Models: The Fugacity Approach. Lewis, Boca Raton, FL, USA.
11. Pennington DW, Margni M, Ammann C, Jolliet O. 2005. Multimedia fate and human intake modelling: Spatial versus nonspatial insights for chemical emissions in Western Europe. Environ Sci Technol 39:1119-1128.
12. Prevedouros K, MacLeod M, Jones KC, Sweetman A. 2004. Modelling the fate of persistent organic pollutants in Europe: Parameterisation of a gridded distribution model. Environ Pollut 128: 251-261.
13. MacLeod M, Riley WJ, McKone TE. 2005. Assessing the influence of climate variability on atmospheric concentrations of polychlorinated biphenyls using a global-scale mass balance model (BETR-Global). Environ Sci Technol 39:6749-6756.
14. Suzuki N, Murasawa K, Sakurai T, Nansai K, Matsuhashi K, Moriguchi Y, Tanabe K, Nakasugi O, Morita M. 2005. Geo-referenced multimedia environmental fate model (G-CIEMS): Model formulation and comparison to the generic model and monitoring approaches. Environ Sci Technol 38:5682-5693.
15. Sweetman AJ, Dalla Valle M, Prevedouros K, Jones KC. 2005. The role of soil organic carbon in the global cycling of persistent organic pollutants (POPs): Interpreting and modelling field data. Chemosphere 60:959-972.
16. Wania F, McLachlan MS. 2001. Estimating the influence of forests on the overall fate of semivolatile organic compounds using a multimedia fate model. Environ Sci Technol 35:582-590.
17. Hollander A, Huijbregts MAJ, Ragas AMJ, Van de Meent D. 2006. BasinBox: A generic multimedia fate model for predicting the fate of chemicals in river catchments. Hydrobiologia 565:21-38.
18. Den Hollander HA, Van Eijkeren JCH, Van de Meent D. 2004. SimpleBox 3.0: Multimedia mass balance model for evaluating the fate of chemicals in the environment. Report 601200003. National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
19. Pistocchi A, Pennington DW. 2006. Continental scale mapping of chemical fate using spatially explicit multimedia models. Proceedings, 1st Open International NoMiracleWorkshop, Verbania-Intra, Italy, June 8-9, 2006. Report EUR 22625 EN. Office for Official Publications of the European Communities, Luxembourg, pp 8-20.
20. Pistocchi A, Pennington DW. 2006. European hydraulic geometries for continental scale environmental modelling. J Hydrol 329: 553-567.
21. Pistocchi A, Vizcaino Martinez MP, Pennington DW. 2006. Analysis of landscape and climate parameters for continental scale assessment of the fate of pollutants. Report EUR 22624 EN. Office for Official Publications of the European Communities, Luxembourg.
22. Huijbregts MAJ, Geelen LMJ, Hertwich EG, McKone TE, Van de Meent D. 2005. A comparison between the multimedia fate and exposure models CalTOX and Uniform System for Evaluation of Substances adapted for Life Cycle Assessment based on the population intake fraction of toxic pollutants. Environ Toxicol Chem 24:486-493.
23. Darlington RB. 1990. Regression and Linear Models. McGraw-Hill, New York, NY, USA.
24. Hertwich EG, McKone TE. 2001. Pollutant-specific scale of multimedia models and its implications for the potential dose. Environ Sci Technol 35:142-148.
25. Jolliet O, Hauschild M. 2005. Modeling the influence of intermittent rain events on long-term fate and transport of organic air pollutants. Environ Sci Technol 39:4513-4522.
26. Sweetman A, Cousins IT, Seth R, Jones KC, Mackay D. 2002. A dynamic level IV multimedia environmental model: Application to the fate of polychlorinated biphenyls in the United Kingdom over a 60-year period. Environ Toxicol Chem 21:930-940.
27. Zoras S, Triantafyllou AG, Hurly PJ. 2007. Grid sensitivity analysis for the calibration of a prognostic meteorological model in complex terrain by a screening experiment. Environmental Modelling and Software 22:33-39.
28. Shrestha R, Tachikawa Y, Takara K. 2006. Input data resolution analysis for distributed hydrological modeling. J Hydrol 319:36-50.
29. Kavvas ML, Chen ZQ, Tan L, Soong ST, Terakawa A, Yoshitani J, Fukami K. 1998. A regional-scale land surface parameterization based on areally-averaged hydrological conservation equations. Hydrol Sci J 43:611-631.
30. Koren VI, Finnerty BD, Schaake JC, Smith MB, Seo DJ, Duan QY. 1999. Scale dependencies of hydrologic models to spatial variability of precipitation. J Hydrol 217:285-302.
31. De Wit AJW, Boogaard HL, Van Diepen CA. 2005. Spatial resolution of precipitation and radiation: The effect on regional crop yield forecasts. Agric For Meteorol 135:156-168.
32. Oka A, Hasumi H. 2006. Effects of model resolution on salt transport through northern high-latitude passages and Atlantic meridional overturning circulation. Ocean Modelling 13:126-147.
33. Kirkby MJ, Jones RJA, Irvine B, Gobin A, Govers G, Cerdan O, Van Rompaey AJJ, Le Bissonnais Y, Daroussin J, King D, Montanarella L, Grimm M, Vieillefont V, Puigdefabregas J, Boer M, Kosmas C, Yassoglou N, Tsara M, Mantel S, Van Lynden G. 2004. Pan-European soil erosion risk assessment: The PESERA Map, Version 1, October 2003. European Soil Bureau. Report 16, EUR 21176. Office for Official Publications of the European Communities, Luxembourg.
34. PELCOM. Pan-European land use and land cover monitoring. Alterra, Centre for Geo-Information, Wageningen, The Netherlands.
35. Roemer M, Baart A, Libre JM. 2005. ADEPT: Development of an Atmospheric Deposition and Transport model for risk assessment. Report B&O-AR 2005-208. TNO, Apeldoorn, The Netherlands.
36. Jones RJA, Hiederer R, Rusco E, Loveland PJ, Montanarella L. 2004. The map of organic carbon in topsoils in Europe, Version 1.2, September 2003. Publication 72 S.P.I.04.72. JRC, Ispra, Italy.
37. New M, Lister D, Hulme M, Makin I. 2002. A high resolution data set of surface climate over global land areas. Climate Res 21:1-25.
38. Institute for Environment and Sustainability. 2005. Monitoring Agriculture through Remote Sensing. JRC, Ispra, Italy.
39. European Monitoring and Evaluation Programme. 2006. Modelled air concentration and deposition data. Moscow, Russia.
40. Brandes LJ, Den Hollander HA, Van de Meent D. 1996. SimpleBox 2.0: A nested multimedia fate model for evaluating the environmental fate of chemicals. Report no. 719101029. National Institute for Public Health and the Environment, Bilthoven, The Netherlands.