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Related Experiment Video

Updated: Jun 26, 2026

Chemical Analysis of Water-accommodated Fractions of Crude Oil Spills Using TIMS-FT-ICR MS

Chemical Analysis of Water-accommodated Fractions of Crude Oil Spills Using TIMS-FT-ICR MS

Published on: March 3, 2017

A numerical oil spill model based on a hybrid method.

W J Guo¹, Y X Wang

¹State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116023, People's Republic of China. gwj5268@126.com

Marine Pollution Bulletin

|January 23, 2009

Summary

This summary is machine-generated.

This study introduces a hybrid particle tracking/Eulerian-Lagrangian model to simulate coastal oil spills. The model accurately predicts oil slick movement and distribution, aiding in environmental protection strategies.

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Chemical Analysis of Water-accommodated Fractions of Crude Oil Spills Using TIMS-FT-ICR MS

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Published on: March 3, 2017

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications

Published on: January 16, 2018

Area of Science:

Environmental Science
Oceanography
Computational Fluid Dynamics

Background:

Coastal areas are vulnerable to oil spills, necessitating accurate simulation models.
Existing models may lack the comprehensive approach to capture complex oil behaviors.

Purpose of the Study:

To develop a hybrid particle tracking/Eulerian-Lagrangian model for simulating oil spills in coastal environments.
To integrate environmental data for enhanced simulation accuracy.

Main Methods:

A hybrid particle tracking/Eulerian-Lagrangian approach was developed.
The model was coupled with the Princeton Ocean Model (POM) and the Simulating Waves Nearshore (SWAN) model.
Simulated key oil processes: spreading, advection, diffusion, evaporation, emulsification, dissolution, and shoreline deposition.

Main Results:

The model successfully predicted horizontal oil slick movement and vertical particle distribution.
It accurately estimated oil concentration in the water column and mass balance.
Simulations near Dalian coastal waters showed reasonable accuracy when compared to satellite imagery.

Conclusions:

The developed hybrid model provides a robust tool for simulating coastal oil spills.
The model's accuracy in predicting oil slick behavior and distribution is validated.
This approach can significantly improve oil spill response and environmental management.