| 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: | Assessment of risk for aromatic hydrocarbons resulting from subsea Blowouts: A case study in eastern Canada | ||||
| Authors: | Yang Z, Chen Z, Xin Q, Lee K | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/39571296/ | ||||
| DOI: | 10.1016/j.envint.2024.109136 | ||||
| Publication: | Environment international | ||||
| Keywords: | Deep-sea blowout; Oil spill modeling; Polycyclic aromatic hydrocarbons; Risk assessment; Stochastic simulation; Subsea dispersant injection; | ||||
| PMID: | 39571296 | Category: | Date Added: | 2024-11-22 | |
| Dept Affiliation: |
ENCS
1 Department of Building, Civil, and Environmental Engineering, Concordia University, Montreal H3G 1M8, Canada. 2 Department of Building, Civil, and Environmental Engineering, Concordia University, Montreal H3G 1M8, Canada. Electronic address: zhi.chen@concordia.ca. 3 Natural Resources Canada, CanmetENERGY, Devon T6G 1A8, Canada. 4 Ecosystem Science, Fisheries and Oceans Canada, Ottawa K1C 0E6, Canada. |
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Description: |
There is increasing concern over the environmental risks associated with deepwater petroleum exploration activities. The integration of environmental risk assessment and oil spill modeling can help to understand and quantitatively characterize the potential risks from subsea blowouts in specific regions. This study integrates a novel deepwater oil spill model (DWOSM) and an extended stochastic modeling methodology to assess the environmental risk of polycyclic aromatic hydrocarbons (PAHs) during a simulated offshore subsurface blowout off the east coast of Newfoundland, Canada. Additionally, the effectiveness of subsea dispersant injection (SSDI) in spill mitigation was investigated through comparative simulations. Resultant spill hazard and risk maps for current and proposed areas of offshore oil and gas development, in support of contingency plans, revealed that surfaced oil tends to drift toward the southeast and east in the hypothetical blowout case; nearshore areas of east Newfoundland have relatively low risk shortly after a deep-sea blowout; released PAHs may elicit more adverse ecological impacts than volatile organic compounds (VOCs); and SSDI application can reduce contaminant exposure levels but at the expense of enlarging the impacted zone for a short term. This stochastic simulation-based risk assessment provides scientific evidence to support decision-making in strategic oil spill response operations. |



