Literature DB >> 25113103

A three-step model to assess shoreline and offshore susceptibility to oil spills: the South Aegean (Crete) as an analogue for confined marine basins.

Tiago M Alves1, Eleni Kokinou2, George Zodiatis3.   

Abstract

This study combines bathymetric, geomorphological, geological data and oil spill predictions to model the impact of oil spills in two accident scenarios from offshore Crete, Eastern Mediterranean. The aim is to present a new three-step method of use by emergency teams and local authorities in the assessment of shoreline and offshore susceptibility to oil spills. The three-step method comprises: (1) real-time analyses of bathymetric, geomorphological, geological and oceanographic data; (2) oil dispersion simulations under known wind and sea current conditions; and (3) the compilation of final hazard maps based on information from (1) and (2) and on shoreline susceptibility data. The results in this paper show that zones of high to very-high susceptibility around the island of Crete are related to: (a) offshore bathymetric features, including the presence of offshore scarps and seamounts; (b) shoreline geology, and (c) the presence near the shore of sedimentary basins filled with unconsolidated deposits of high permeability. Oil spills, under particular weather and oceanographic conditions, may quickly spread and reach the shoreline 5-96 h after the initial accident. As a corollary of this work, we present the South Aegean region around Crete as a valid case-study for confined marine basins, narrow seaways, or interior seas around island groups.
Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Bathymetry; GIS; Geology; Oceanography; Oil-spill predictions; Shoreline susceptibility

Mesh:

Year:  2014        PMID: 25113103     DOI: 10.1016/j.marpolbul.2014.06.034

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  5 in total

1.  Multidisciplinary oil spill modeling to protect coastal communities and the environment of the Eastern Mediterranean Sea.

Authors:  Tiago M Alves; Eleni Kokinou; George Zodiatis; Hari Radhakrishnan; Costas Panagiotakis; Robin Lardner
Journal:  Sci Rep       Date:  2016-11-10       Impact factor: 4.379

2.  Design and Implementation of a Coastal-Mounted Sensor for Oil Film Detection on Seawater.

Authors:  Yongchao Hou; Ying Li; Bingxin Liu; Yu Liu; Tong Wang
Journal:  Sensors (Basel)       Date:  2017-12-28       Impact factor: 3.576

3.  Comparing the Potential of Multispectral and Hyperspectral Data for Monitoring Oil Spill Impact.

Authors:  Shruti Khanna; Maria J Santos; Susan L Ustin; Kristen Shapiro; Paul J Haverkamp; Mui Lay
Journal:  Sensors (Basel)       Date:  2018-02-12       Impact factor: 3.576

4.  Adaptive Enhancement of X-Band Marine Radar Imagery to Detect Oil Spill Segments.

Authors:  Peng Liu; Ying Li; Jin Xu; Xueyuan Zhu
Journal:  Sensors (Basel)       Date:  2017-10-14       Impact factor: 3.576

5.  Monitoring oil spill in Norilsk, Russia using satellite data.

Authors:  Sankaran Rajendran; Fadhil N Sadooni; Hamad Al-Saad Al-Kuwari; Anisimov Oleg; Himanshu Govil; Sobhi Nasir; Ponnumony Vethamony
Journal:  Sci Rep       Date:  2021-02-15       Impact factor: 4.379

  5 in total

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