Proceedings of the Ispra-Course Held at the Joint Research Centre, Ispra, Italy, 30 May - 3 June 1988
Buch, Englisch, 408 Seiten, Gewicht: 855 g
Reihe: Ispra Courses
ISBN: 978-0-7923-0476-0
Verlag: Springer
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Geowissenschaften Umweltwissenschaften Angewandte Ökologie
- Geowissenschaften Geographie | Raumplanung Geographie: Allgemeines, Karten & Atlanten
- Geowissenschaften Umweltwissenschaften Umweltwissenschaften
- Technische Wissenschaften Umwelttechnik | Umwelttechnologie Luftreinhaltung
- Geowissenschaften Umweltwissenschaften Umweltmanagement, Umweltökonomie
Weitere Infos & Material
Section 1 - Risk perception and risk policy.- Understanding public risk perception.- Decision making based on risk analysis: coping with uncertainty and incomplete data.- Section 2 - From reactor safety to disposal safety.- Probabilistic risk assessment in the nuclear sector: From reactor safety to disposal safety.- Section 3 - The analyst’s answer: methodologies and methods.- An introduction to systems variability analysis.- Techniques for uncertainty and sensitivity analyses.- Applications of system variability analysis codes.- The role of the code intercomparison exercises: activities of the PSAC group.- Risk calculation in long term prediction.- Section 4 - The word to the geologists: what if…?.- The use of predictive geology in the analysis of repository evolution. Description of the relevant natural phenomena.- Impact of glaciation on geological disposal: The problem of prediction and the challenge of modelling.- Section 5 - Some worked examples.- The time dimension in risk analysis.- Evaluation of the risk associated with disposal of radioactive wastes: the deterministic approach.- The sub-seabed disposal safety assessment: a worked example.- Performance Assessment of Geological Isolation Systems (PAGIS).- Section 6 - A smart approach: using natural and archaeological analogues.- Applying natural analogues in predictive performance assessment - Part 1.- Applying natural analogues in predictive performance assessment - Part 2.