Expert elicitation for deriving input data for probabilistic risk assessment of shipwrecks

被引:11
|
作者
Landquist, H. [1 ]
Norrman, J. [2 ]
Lindhe, A. [2 ]
Norberg, T. [3 ]
Hassellov, I. -M [1 ]
Lindgren, J. F. [1 ]
Rosen, L. [2 ]
机构
[1] Chalmers Univ Technol, Dept Mech & Maritime Sci, SE-41296 Gothenburg, Sweden
[2] Chalmers Univ Technol, Dept Architecture & Civil Engn, SE-41296 Gothenburg, Sweden
[3] Univ Gothenburg, Chalmers Univ Technol, Dept Math Sci, SE-41296 Gothenburg, Sweden
基金
瑞典研究理事会;
关键词
Shipwreck risk assessment; Expert elicitation; VRAKA; SHELF; Bayesian updating; FAULT-TREE MODEL; JUDGMENT; GUIDE;
D O I
10.1016/j.marpolbul.2017.09.043
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:399 / 415
页数:17
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