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

Autorzy
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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.
Rocznik
Strony
230--238
Opis fizyczny
Bibliogr. 21 poz., rys., tab., wykr.
Twórcy
autor
  • Tianjin Engineering Center of Urban River Ecopurification Technology, School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China
autor
  • Tianjin Engineering Center of Urban River Ecopurification Technology, School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China
Bibliografia
  • [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. DOI: 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. DOI: 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. DOI: 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. DOI: 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.
  • [6]. Deng, J., Huang, L., Zhao, Q., Liu, J. & Wang, X. (2011). Study on prediction model of oil spill in Three Gorges Reservoir Area based on a two-dimensional hydrodynamic coupling simulation. Journal of wuhan university of technology 35: 793-797.
  • [7]. Gong, W., Shen, J. & Hong, B. (2009). The influence of wind on the water age in the tidal Rappahannock River. Marine Environmental Research 68: 203-216. DOI: doi:10.1016/j. marenvres.2009.06.008.
  • [8]. Gong, W., Wang, Y. & Jia, J. (2012). The effect of interacting downstream branches on saltwater intrusion in the Modaomen Estuary, China. Journal of Asian Earth Sciences 45: 223-238. DOI: 10.1016/j.jseaes.2011.11.001.
  • [9]. Hamrick, J.M. (1992). A three-dimensional environmental fluid dynamics computer code: theoretical and computational aspects. Special Report 317. The college of William and Mary, Virginia Institute of Marine Science, Williamsburg Virgina, 63pp.
  • [10]. Hamrick, J.M. & Wu, T.S. (1997). Computational design and optimization of the EFDC/HEM3D surface water hydrodynamic and eutrophication models. In G. Delic & M.F. Wheeler (Eds.), Next Generation Environmental Models and Computational Methods. Society for Industrial and Applied Mathematics, Pennsylvania, pp. 143-161.
  • [11]. Jason, K.J., Travis, A.S. & Sherwin, L. (2014). Simulating Surface Oil Transport During the Deepwater Horizon Oil Spill: Experiments with the BioCast System. Ocean Modelling75: 84-99. DOI: 10.1016/j.ocemod.2014.01.004.
  • [12]. Lan, D., Bao, C. & Ma, M. (2014). Technique to Marine Oil Spill Risk Zonation and its Application. Marine Environment Science 33: 287-292.
  • [13]. Marta-Almeida, M., Ruiz-Villarreal, M., Pereira, J., Otero, P., Cirano, M. et al. (2013). Efficient tools for marine operational forecast and oil spill tracking. Marine Pollution Bulletin 71: 2099-2110. DOI: 10.1016/j.marpolbul.2013.03.022.
  • [14]. Romero, A.F., Abessa, D.M.S., Fontes, R.F.C. & Silva, G.H. (2013). Integrated assessment for establishing an oil environmental vulnerability map: Case study for the Santos Basin region, Brazil. Marine Pollution Bulletin 74: 156-164. DOI: 10.1016/j.marpolbul.2013.07.012.
  • [15]. Shen, J. & Haas, L. (2004). Calculating age and residence time in the tidal York River using three-dimensional model experiments. Estuarine, Coastal and Shelf Science 61 (3): 449-461. DOI: doi:10.1016/j.ecss.2004.06.010.
  • [16]. Spaulding, M.L. (1988). A state-of-the-art review of oil spill trajectory and fate modelling. Oil Chem. Pollut. 4: 39-55. DOI: doi:10.1016/S0269-8579(88)80009-1.
  • [17]. Wang, Y., Shen, J. & He, Q. (2010). A modeling study of the variation of the transport timescale and change of estuarine circulation due to human impact in the Changjiang Estuary, China. Journal of Marine Systems 82 (3): 154-170.
  • [18]. Wettre, C., Johansen, O. & Skognes, K. (2011). Development of a 3-Dimensional Oil Drift Model at DNMI. Tech. Rep. 50, Norwegian Meteorological Institute, Oslo, Norway.
  • [19]. Xu, H., Lin, J., Shen, J. & Wang, D. (2008). Wind impact on pollutant transport in a shallow estuary. Acta Oceanologica Sinica 27 (3): 147-160.
  • [20]. Xu, Q., Li, X.F., Wei, Y.L., Tang, Z.Y., Cheng, Y.C. et al. (2013). Satellite observations and modeling of oil spill trajectories in the Bohai Sea. Marine Pollution Bulletin 71, 107-116. DOI: 10.1016/j.marpolbul.2013.03.028.
  • [21]. Zhao, L., Li, Y., Zou, R., He, B., Zhu, X. et al. (2013). A three-dimensional water quality modeling approach for exploring the eutrophication responses to load reduction scenarios in Lake Yilong (China). Environmental Pollution 177: 13-21. DOI: 10.1016/j.envpol.2013.01.047.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e7a23930-1000-4de2-bcfb-bb1dd6fbb701
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