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Selection of oil spill response method in Arctic offshore waters: A fuzzy decision tree based framework.

https://arctichealth.org/en/permalink/ahliterature304546
Source
Mar Pollut Bull. 2020 Dec; 161(Pt A):111705
Publication Type
Journal Article
Date
Dec-2020
Author
Guangji Hu
Saeed Mohammadiun
Abdorreza Alavi Gharahbagh
Jianbing Li
Kasun Hewage
Rehan Sadiq
Author Affiliation
School of Engineering, University of British Columbia, Okanagan Campus, 3333 University Way, Kelowna, BC V1V 1V7, Canada. Electronic address: guangji.hu@ubc.ca.
Source
Mar Pollut Bull. 2020 Dec; 161(Pt A):111705
Date
Dec-2020
Language
English
Publication Type
Journal Article
Keywords
Arctic Regions
Decision Trees
Petroleum Pollution
Abstract
A fuzzy decision tree (FDT) based framework was developed to facilitate the selection of suitable oil spill response methods in the Arctic. Hypothetical oil spill cases were developed based on six identified attributes, while the suitability of three spill response methods (mechanical containment and recovery, use of chemical dispersants, and in-situ burning) for each spill case was obtained based on expert judgments. Fuzzy sets were used to address the associated uncertainties, and FDTs were then developed through generating: i) one decision tree for all three response methods (FDT-AP1) and ii) one decision tree for each response method and the development of linear regression models at terminal nodes (FDT-LR). The FDT-LR approach exhibited higher prediction accuracy than the FDT-AP1 approach. A maximum of 100% accurate predictions could be achieved for testing cases using it. On average, 75% of suitable oil spill response methods out of 10,000 performed iterations were predicted correctly.
PubMed ID
33022490 View in PubMed
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