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PubMed Publications| Keyword search (4,163 papers available) |  |
"oil spill model" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Development, Testing, and Application of an Enhanced Oil Spill Model for Ice-Covered Waters (OSMT-Ice) through Multiscale Field Experiments | Yang Z; Chen Z; Lee K; | 40845360 ENCS |
| 2 | Assessment of risk for aromatic hydrocarbons resulting from subsea Blowouts: A case study in eastern Canada | Yang Z; Chen Z; Xin Q; Lee K; | 39571296 ENCS |
| 3 | Managing deepsea oil spills through a systematic modeling approach | Chen Z; Yang Z; Lee K; Lu Y; | 38759562 ENCS |
| 4 | Development and testing of a 2D offshore oil spill modeling tool (OSMT) supported by an effective calibration method | Yang Z; Chen Z; Lee K; | 36758314 ENCS |
| Title: | Development and testing of a 2D offshore oil spill modeling tool (OSMT) supported by an effective calibration method | ||||
| Authors: | Yang Z, Chen Z, Lee K | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/36758314/ | ||||
| DOI: | 10.1016/j.marpolbul.2023.114696 | ||||
| Publication: | Marine pollution bulletin | ||||
| Keywords: | Lagrangian model calibration; Oil spill modeling; SAR images; Trajectory modeling; | ||||
| PMID: | 36758314 | Category: | Date Added: | 2023-02-10 | |
| Dept Affiliation: |
ENCS
1 Department of Building, Civil, and Environmental Engineering, Concordia University, Montreal, Quebec, Canada. 2 Department of Building, Civil, and Environmental Engineering, Concordia University, Montreal, Quebec, Canada. Electronic address: zhichen@bcee.concordia.ca. 3 Ecosystem Science, Fisheries and Oceans Canada, 200 Kent Street, Ottawa, Ontario K1C 0E6, Canada. |
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Description: |
An Oil Spill Modeling Tool (OSMT) has been developed in this study to predict the transport and fate of oil spills resulting from surface releases. Particularly, the Kullback-Leibler (KL) divergence method is adopted as a performance metric for the first time to formulate a calibration framework for spill trajectory prediction (STP) from the Lagrangian transport model (LTM). By finding the candidate with minimal KL divergences from modeling scenarios using designed parameter combinations, the prediction discrepancy between simulated trajectories of the LTM and oil slicks detected from satellite images is reduced. The developed approach has been evaluated through a comparison analysis between OSMT and Operational Oil Modeling Environment (GNOME) model. Subsequently, a real case study is conducted to examine the applicability and effectiveness of the OSMT. The study results indicate that OSMT can provide reliable spill trajectory simulations, and the KL divergence-based calibration method is effective in calibrating the oil spill LTM. |
