Abstract
Goal Scope Background
The main focus in OMNIITOX is on characterisation models for toxicological impacts in a life cycle assessment (LCA) context. The OMNIITOX information system (OMNIITOX IS) is being developed primarily to facilitate characterisation modelling and calculation of characterisation factors to provide users with information necessary for environmental management and control of industrial systems. The modelling and implementation of operational characterisation models on eco and human toxic impacts requires the use of data and modelling approaches often originating from regulatory chemical risk assessment (RA) related disciplines. Hence, there is a need for a concept model for the data and modelling approaches that can be interchanged between these different contexts of natural system model approaches. Methods. The concept modelling methodology applied in the OMNIITOX project is built on database design principles and ontological principles in a consensus based and iterative process by participants from the LCA, RA and environmental informatics disciplines. Results. The developed OMNIITOX concept model focuses on the core concepts of substance, nature framework, load, indicator, and mechanism, with supplementary concepts to support these core concepts. They refer to the modelled cause, effect, and the relation between them, which are aspects inherent in all models used in the disciplines within the scope of OMNIITOX. This structure provides a possibility to compare the models on a fundamental level and a language to communicate information between the disciplines and to assess the possibility of transparently reusing data and modelling approaches of various levels of detail and complexity.
Conclusions
The current experiences from applying the concept model show that the OMNIITOX concept model increases the structuring of all information needed to describe characterisation models transparently. From a user perspective the OMNIITOX concept model aids in understanding the applicability, use of a characterisation model and how to interpret model outputs.
Recommendations and Outlook
The concept model provides a tool for structured characterisation modelling, model comparison, model implementation, model quality management, and model usage. Moreover, it could be used for the structuring of any natural environment cause-effect model concerning other impact categories than toxicity.
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References
Molander S, Lidholm P, Schowanek D, Mar Recasens M del, Fullana i Palmer P, Christensen F, Guinée JB, Hauschild M, Jolliet O, Carlson R, Pennington DW, Bachmann TM, (2004): OMNQTOX—Operational Life-Cycle Impact Assessment Models and Information Tools for Practitioners. Int J LCA 9 (5) 282–288
Guinée JB, de Koning A, Pennington DW, Rosenbaum R, Hauschild M, Olsen SI, Molander S, Bachmann TM, Pant R, (2004): Bringing Science and Pragmatism together in a Tiered Approach for Modelling Toxico-logical Impacts in LCA. Int J LCA 9 (5) 320–326
Erixon M, Carlson R, Flemström K, Pålsson A-C, (2004): The Data Quality Foundation in OMNIITOX Information System. Int J LCA 9 (5) 333
Elmarsi R, Navathe SB (1989): Fundamentals of Database Systems. Addison Wesley World Student Series, ISBN 0-201-530090-2
Carlson R, Pålsson A-C (2000): PHASES Information models for industrial environmental control, CPM-report 2000:4, Chalmers University of Technology
Carlson R, Pålsson A-C, (2001): Industrial environmental information management for technical systems, Journal of Cleaner Production 9 (5) 429–435
Jolliet O, (ed) et al. (1996): Impact assessment of human and ecotoxicity in life cycle assessment, pp 49–61. In: Udo de Haes H A, (ed): Towards a methodology for life cycle impact assessment. Society of Environmental and Toxicology and Chemistry Europe, Brussels
Cronin B (ed) (1985): Information management: From strategies to action. London, Aslib, ISBN 991-557677-3
Carlson R (1994): Design and Implementation of a Database for use in the Life Cycle Inventory Stage of Environmental Life Cycle Assessment. Diploma work in Computing Science, Department of Computing Science, Chalmers University of Technology and Gothenburg University
Carlson R, Steen B, Lofgren G (1995): SPINE, A Relation Database Structure for Life Cycle Assessment. Gothenburg, IVL-REPORT B1227
Carlson R, Pålsson A-C (1998): Establishment of CPM's LCA Database. Gothenburg, CPM Report 1998:3
Dewulf W, Duflou J, Ander A (eds) (2001): Integrating Eco-efficiency in Rail Vehicle Design. Final report of the RAVEL project, Leuven University Press, ISBN 90-5867-176-3
Carlson R, Erixon M, Geiron K, Tivander J (to be published): OMNIITOX concept model and data format report. Deliverable 20 and 26 of the OMNIITOX project; Industrial Environmental Informatics; Chalmers University of Technology
ISO 14040 (1997): Environmental management—Life Cycle Assessment—Principles and Framework
ISO14041 (1998): Environmental management—Life Cycle Assessment—Goal and scope definition and inventory analysis
ISO 14042 (2000): Environmental management—Life Cycle Assessment—Life cycle impact assessment
ISO/TS 14048 (2002): Environmental management—Life Cycle Assessment—Data documentation format
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Carlson, R., Erixon, M., Pålsson, AC. et al. OMNIITOX concept model supports characterisation modelling for life cycle impact assessment. Int J LCA 9, 289–294 (2004). https://doi.org/10.1007/BF02979418
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DOI: https://doi.org/10.1007/BF02979418