Keyword search (4,163 papers available)

"Oil spills" Keyword-tagged Publications:

Title Authors PubMed ID
1 Konjac glucomannan (KGM) aerogel immobilized microalgae: A new way for marine oil spills remediation Wang X; Du Z; Song Z; Liu M; He P; Feng L; Chen Z; Chen Q; 40381443
ENCS
2 Oil spills in coastal regions of the Arctic and Subarctic: Environmental impacts, response tactics, and preparedness Bi H; Wang Z; Yue R; Sui J; Mulligan CN; Lee K; Pegau S; Chen Z; An C; 39689468
ENCS
3 Development and testing of a SOSM approach to examine the natural attenuation of oil spillage on shorelines Yang Z; Chen Z; 35843085
ENCS

 

Title:Development and testing of a SOSM approach to examine the natural attenuation of oil spillage on shorelines
Authors:Yang ZChen Z
Link:https://pubmed.ncbi.nlm.nih.gov/35843085/
DOI:10.1016/j.jhazmat.2022.129579
Publication:Journal of hazardous materials
Keywords:Modeling toolNatural attenuationOil spillsOil-shoreline interaction
PMID:35843085 Category: Date Added:2022-07-18
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.

Description:

Understanding the fate and behavior of spilled oil on the shoreline is crucial for helping decision-makers make trade-offs between natural attenuation and shoreline treatments. In this study, primary processes of oil attenuation and translocation on the shoreline, including penetration, washout, and biodegradation, have been considered to develop a numerical model, Shoreline Oil Spill Model (SOSM), for predicting the fate of spilled oil in various shoreline geological compartments. A holistic system design is employed to develop a user-friendly graphical interface system for SOSM. Global and local sensitivity analyses are used to examine the importance of the input factors on different outputs in SOSM. The results of the sensitivity analysis indicate that the input of oil spill mass correlates positively with the oil retention and surface and subsurface oil mass, while the oil concentration and penetration depth are sensitive to the grain size of the beach sediment. Subsequently, the SOSM is tested to hindcast the fate of stranded oil from the Exxon Valdez oil spill. Reasonable validation results have been obtained for the study site. It confirms the utility of the SOSM to examine and predict the level of shoreline oil contamination in the field following accidental spill events.





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