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Updated: Jul 4, 2026
10:22
Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
Published on: September 7, 2019
Addressing uncertainties in the ERICA Integrated Approach
D H Oughton1, A Agüero, R Avila
1Department of Plant and Environmental Sciences, P.O. Box 5003, Norwegian University of Life Sciences, 1432 Aas, Norway. deborah.oughton@umb.no
Journal of Environmental Radioactivity
|May 30, 2008
Summary
Ecological risk assessment for ionising radiation involves significant uncertainty. The ERICA Integrated Approach enhances transparency by openly addressing these uncertainties through a tiered methodology.
Area of Science:
- Environmental Science
- Radiation Biology
- Risk Assessment
Background:
- Ecological risk assessment for ionising radiation is complex and subject to various uncertainties.
- These uncertainties span technical, conceptual, and social dimensions, impacting all assessment stages.
Purpose of the Study:
- To provide an overview of uncertainties in ecological risk assessment.
- To present the ERICA Integrated Approach for managing these uncertainties in ionising radiation assessments.
Main Methods:
- Review of uncertainty types in ecological risk assessment.
- Description of the ERICA Integrated Approach and its tiered methodology.
- Highlighting methods for increasing transparency of assumptions and uncertainties.
Main Results:
- Identified technical, conceptual, and social uncertainties inherent in ecological risk assessment.
- Demonstrated how the ERICA Integrated Approach addresses uncertainty through transparency and tiered methods.
- Showcased a range of uncertainty management strategies from conservative screening to probabilistic analysis.
Conclusions:
- Acknowledging and addressing uncertainty is crucial for robust ecological risk assessment of ionising radiation.
- The ERICA Integrated Approach offers a structured framework to manage and communicate uncertainties effectively.
- Transparency in uncertainty handling improves stakeholder acceptance and the reliability of risk assessments.
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