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dc.contributor.authorEl Mohtar, Samah
dc.contributor.authorAit-El-Fquih, Boujemaa
dc.contributor.authorKnio, Omar
dc.contributor.authorLakkis, Issam
dc.contributor.authorHoteit, Ibrahim
dc.date.accessioned2021-06-06T07:11:32Z
dc.date.available2021-06-06T07:11:32Z
dc.date.issued2021-06-04
dc.date.submitted2020-09-07
dc.identifier.citationEl Mohtar, S., Ait-El-Fquih, B., Knio, O., Lakkis, I., & Hoteit, I. (2021). Bayesian identification of oil spill source parameters from image contours. Marine Pollution Bulletin, 169, 112514. doi:10.1016/j.marpolbul.2021.112514
dc.identifier.issn0025-326X
dc.identifier.doi10.1016/j.marpolbul.2021.112514
dc.identifier.urihttp://hdl.handle.net/10754/669383
dc.description.abstractOil spills at sea pose a serious threat to coastal environments. Identifying oil pollution sources could help to investigate unreported spills, and satellite imagery can be an effective tool for this purpose. We present a Bayesian approach to estimate the source parameters of a spill from contours of oil slicks detected by remotely sensed images. Five parameters of interest are estimated: the 2D coordinates of the source of release, the time and duration of the spill, and the quantity of oil released. Two synthetic experiments of a spill released from a fixed point source are investigated, where a contour is fully observed in the first case, while two contours are partially observed at two different times in the second. In both experiments, the proposed method is able to provide good estimates of the parameters along with a level of confidence reflected by the uncertainties within.
dc.description.sponsorshipWe thank Prof. Håvard Rue for suggestions related to MCMC. We also thank Dr. Yanhui Zhang for helpful discussions related to the Hausdorff distance. Research reported in this publication was supported by the Office of Sponsored Research (OSR) at King Abdullah University of Science and Technology (KAUST) under Award No. OSR-CRG2018-3711 and under the Virtual Red Sea Initiative (Grant #REP/1/3268-01-01).
dc.publisherElsevier BV
dc.relation.urlhttps://linkinghub.elsevier.com/retrieve/pii/S0025326X21005488
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Marine Pollution Bulletin. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Marine Pollution Bulletin, [169, , (2021-06-04)] DOI: 10.1016/j.marpolbul.2021.112514 . © 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleBayesian identification of oil spill source parameters from image contours
dc.typeArticle
dc.contributor.departmentEarth Fluid Modeling and Prediction Group
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalMarine Pollution Bulletin
dc.rights.embargodate2023-06-04
dc.eprint.versionPost-print
dc.contributor.institutionDuke University, Durham, NC 27708, USA.
dc.contributor.institutionMaroun Semaan Faculty of Engineering and Architecture, American University of Beirut, Beirut, Lebanon.
dc.identifier.volume169
dc.identifier.pages112514
kaust.personEl Mohtar, Samah
kaust.personAit-El-Fquih, Boujemaa
kaust.personHoteit, Ibrahim
kaust.grant.numberOSR-CRG2018-3711
kaust.grant.numberREP/1/3268-01-01
dc.date.accepted2021-05-15
refterms.dateFOA2021-06-06T10:14:52Z
kaust.acknowledged.supportUnitCRG
kaust.acknowledged.supportUnitOffice of Sponsored Research (OSR)
kaust.acknowledged.supportUnitVirtual Red Sea Initiative
dc.date.published-online2021-06-04
dc.date.published-print2021-08


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