Over het archief
Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.
Dit archief wordt uitgebouwd en beheerd volgens de principes van de Open Access Movement, en het daaruit ontstane Open Archives Initiative.
Basisinformatie over ‘Open Access to scholarly information'.
Limitations of current risk characterization methods in probabilistic environmental risk assessment
Verdonck, F.A.M.; Aldenberg, T.; Jaworska, J.; Vanrolleghem, P.A. (2003). Limitations of current risk characterization methods in probabilistic environmental risk assessment. Environ. Toxicol. Chem. 22(9): 2209. https://dx.doi.org/10.1897/02-435
In: Environmental Toxicology and Chemistry. Setac Press: New York. ISSN 0730-7268; e-ISSN 1552-8618, meer
| |
Author keywords |
Joint probability curve, Probabilistic risk calculation |
Auteurs | | Top |
- Verdonck, F.A.M., meer
- Aldenberg, T.
- Jaworska, J.
- Vanrolleghem, P.A., meer
|
|
|
Abstract |
In probabilistic environmental risk assessment, the likelihood and the extent of adverse effects occurring in ecological systems because of exposure(s) to substances are estimated. It is based on the comparison of an exposure/environmental concentration distribution, with a species sensitivity distribution derived from toxicity data. The calculation of a probabilistic risk can be performed in many ways (e.g., area under the curve in joint probability curves). However, several (hypothetical) examples and some theoretical considerations illustrate that the current risk characterisation methods have an integrative character and they focus on the statistical comparison of two distributions without properly considering the environmental interpretation of these underlying distributions. Several scenarios with varying exposure/environmental concentration distribution and species sensitivity distribution standard deviations are discussed. |
IMIS is ontwikkeld en wordt gehost door het VLIZ.