Determination of the oil spill removal area by oil particle tracking in a harbor-Reference-Cited by-同舟云学术

Determination of the oil spill removal area by oil particle tracking in a harbor

Published:2016-06-01 Issue:2 Volume:45 Page:230-238
ISSN:1897-3191
Container-title:Oceanological and Hydrobiological Studies
language:en
Short-container-title:

Author:

Yang Shu-Yi¹,You Xue-Yi¹

Affiliation:

1. Tianjin Engineering Center of Urban River Ecopurification Technology, School of Environmental Science and Engineering , Tianjin University , Tianjin , China

Abstract

Abstract The removal of oil spill pollution is an important issue of water environment protection. A hydrodynamic model for the determination of oil spill removal area is proposed based on the Euler-Lagrangian particle tracking method. After the results of flow field simulation are validated by the measured data, the trajectory of oil particles is calculated. The optimal location of oil spill removal area is obtained by comparing the oil removal rate of different removal areas. The current method presents a useful way of locating the optimal oil spill removal area to clean the surface waters.

Publisher

Walter de Gruyter GmbH

Subject

Oceanography

Link

https://www.sciendo.com/pdf/10.1515/ohs-2016-0021

Reference21 articles.

1. Abascal, A.J., Castanedo, S., Medina, R. & Liste, M. (2010). Analysis of the reliability of a statistical oil spill response model. Marine Pollution Bulletin 60: 2099-2110. 10.1016/j.marpolbul.2010.07.008.

2. Abdul, A., Abdulrauf, R.A. & M. Enamul, H. (2012). A sustainable approach to controlling oil spills. Journal of Environmental Management 113: 213-227. 10.1016/j. jenvman.2012.07.034.

3. Alberto, A., Anabela, O., Andre & B.F (2014). A Cross-scale Numerical Modeling System for Management Support of Oil Spill Accidents. Marine Pollution Bulletin 80: 132-147. 10.1016/j.marpolbul.2014.01.028.

4. Cheng, Y.C., Li, X.F., Xu, Q., Oscar, G.P. & Andersen, B.O. (2011). SAR observation and model tracking of an oil spill event in coastal waters. Marine Pollution Bulletin 62: 350-363. 10.1016/j.marpolbul.2010.10.005.

5. Daniel, P., Josse, P. & Dandin, P. (2005). Further improvement of drift forecast at sea based on operational oceanography systems. In: Coastal Engineering VII: Modelling, Measurements, Engineering and Management of Seas and Coastal Regions. WIT Press, pp. 13-22.

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