Visualisation of the complexity of EUSES |
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Authors: | Volker Berding Stefan Schwartz Michael Matthies |
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Institution: | (1) Institute of Environmental Systems Research, University of Osnabrück, D-49069 Osnabrück, Germany |
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Abstract: | The interdependencies of parameters applied in the models of EUSES are visualised in a directed connectivity graph. The parameters
(inputs, defaults, state variables, outputs) are represented by boxes (nodes) and their relations by lines (edges). The visualisation,
on the one hand, clarifies the complexity of the models in EUSES and, on the other hand, creates an overview and transparency.
The parameters’ relations to each other can be recognised faster, and the models can be better understood. The complexity
was quantified by the number (variety), kind (substance parameter, physico-chemical parameter, concentration, other parameters),
and depth (dimension) of the parameter and the number of relations (connectivity). The variety of EUSES (without the modelsSimple Treat andSimple Box whose interior structure is not documented and without the effect and risk characterisation) amounts to 466, the connectivity
to 961, and the maximal dimension is 21. |
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Keywords: | Exposure models visualisation of complexity environmental risk assessment EUSES |
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