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Expert elicitation for deriving input data for probabilistic risk assessment of shipwrecks.
Landquist, H; Norrman, J; Lindhe, A; Norberg, T; Hassellöv, I-M; Lindgren, J F; Rosén, L.
Afiliação
  • Landquist H; Department of Mechanics and Maritime Sciences, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden. Electronic address: hanna.landquist@chalmers.se.
  • Norrman J; Department of Architecture and Civil Engineering, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden. Electronic address: jenny.norrman@chalmers.se.
  • Lindhe A; Department of Architecture and Civil Engineering, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden. Electronic address: andreas.lindhe@chalmers.se.
  • Norberg T; Department of Mathematical Sciences, Chalmers University of Technology, University of Gothenburg, SE-412 96 Gothenburg, Sweden. Electronic address: tommy.norberg@chalmers.se.
  • Hassellöv IM; Department of Mechanics and Maritime Sciences, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden. Electronic address: ida-maja@chalmers.se.
  • Lindgren JF; Department of Mechanics and Maritime Sciences, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden. Electronic address: f.lindgren@chalmers.se.
  • Rosén L; Department of Architecture and Civil Engineering, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden. Electronic address: lars.rosen@chalmers.se.
Mar Pollut Bull ; 125(1-2): 399-415, 2017 Dec 15.
Article em En | MEDLINE | ID: mdl-28969906
ABSTRACT
The necessity of having a process in place for adequate risk assessment of shipwrecks that pose a threat to the marine environment is today internationally acknowledged. However, retrieving the desired data for such a risk assessment can prove challenging. One means of addressing this problem is to make use of experts' knowledge and experience. The purpose of this paper is therefore to present and analyse data for risk assessment of shipwrecks derived by expert elicitation. The main outcome is the experts' estimations of (i) the generic probability of an opening in a shipwreck due to the occurrence of a number of activities and (ii) estimations of the degree to which site-specific and wreck-specific indicators affect the probability of opening. Results show that the derived information is applicable in probabilistic shipwreck risk assessment and that the VRAKA framework now contains needed information for integrating generic and site-specific information using Bayesian updating.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Navios / Acidentes / Medição de Risco Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Mar Pollut Bull Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Navios / Acidentes / Medição de Risco Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Mar Pollut Bull Ano de publicação: 2017 Tipo de documento: Article