A Multicriteria Decision Analysis Model and Risk Assessment Framework for Carbon Capture and Storage
- Author
- HUMPHRIES CHOPTIANY, John Michael1 ; PELOT, Ronald2
[1] Dalhousie University, Room 208, 5269 Morris Street, Halifax, Nova Scotia, B3J 2X4, Canada
[2] Department of Industrial Engineering, Dalhousie University, PO Box 15000, Halifax, Nova Scotia, B3H 4R2, Canada - Source
Risk analysis. 2014, Vol 34, Num 9, pp 1720-1737, 18 p ; ref : 41 ref
- Publisher
- Wiley, Hoboken, NJ
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- Carbon capture and storage (CCS) Monte Carlo simulation multicriteria decision analysis (MCDA) risk analysis
- Keyword (fr)
- Algorithme Analyse décision Analyse multicritère Analyse risque Changement climatique Formation géologique Modélisation Méthode Monte Carlo Méthodologie Simulation Séquestration carbone Evaluation du risque Géo-ingénierie
- Keyword (en)
- algorithms Decision analysis Multicriteria analysis risk assessment climate change Geological formation Modeling Monte Carlo analysis methodology simulation Carbon sequestration Risk evaluation
- Keyword (es)
- Algoritmo Análisis decisión Análisis multicriterio Formación geológica Modelización Metodología Simulación Secuestro carbono
- Classification
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E02 External geophysics / 001E02D Meteorology / 001E02D10 Climatology. Bioclimatology. Climate change
- Discipline
- External geophysics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28986321
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1111/risa.12211 
https://dx.doi.org/10.1111/risa.12211
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