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    Moving Source Identiication in an Uncertain Marine Flow: Mediterranean Sea Application

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    Thesis_Hammoud_MohammadAbedElRahman.pdf
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    Description:
    thesis - Abed
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    Type
    Thesis
    Authors
    Hammoud, Mohamad Abed ElRahman cc
    Advisors
    Knio, Omar cc
    Committee members
    Hoteit, Ibrahim
    Im, Hong G. cc
    Program
    Mechanical Engineering
    KAUST Department
    Physical Science and Engineering (PSE) Division
    Date
    2020-03
    Embargo End Date
    2021-04-27
    Permanent link to this record
    http://hdl.handle.net/10754/662684
    
    Metadata
    Show full item record
    Access Restrictions
    At the time of archiving, the student author of this thesis opted to temporarily restrict access to it. The full text of this thesis will become available to the public after the expiration of the embargo on 2021-04-27.
    Abstract
    Identifying marine pollutant sources is essential in order to assess, contain and minimize their risk. We propose a Lagrangian Particle Tracking algorithm (LPT) to study the transport of passive tracers continuously released from fixed and moving sources and to identify their source in a backward mode. The LPT is designed to operate with uncertain flow fi elds, described by an ensemble of realizations of the sea currents. Starting from a region of high probability, re- verse tracking is used to generate inverse maps. A probability-weighted distance between the resulting inverse maps and the source trajectory is then minimized to identify the likely source of pollution. We conduct realistic simulations to demonstrate the efficiency of the proposed algorithm in the Mediterranean Sea using ocean data available from Copernicus Marine Environment Monitoring Services. Passive tracers are released along the path of a ship and propagated with an ensemble of flow fi elds forward in time to generate a probability map, which is then used for the inverse problem of source identi fication. Our experiments suggest that the algorithm is able to efficiently capture the release time and source, with some test cases successfully pinpointing the release time and source up to two weeks back in time.
    Citation
    Hammoud, M. A. E. R. (2020). Moving Source Identiication in an Uncertain Marine Flow: Mediterranean Sea Application. KAUST Research Repository. https://doi.org/10.25781/KAUST-U5V1U
    DOI
    10.25781/KAUST-U5V1U
    ae974a485f413a2113503eed53cd6c53
    10.25781/KAUST-U5V1U
    Scopus Count
    Collections
    MS Theses; Physical Science and Engineering (PSE) Division; Mechanical Engineering Program

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