Proceedings of the 2016 International Conference on Advanced Materials Science and Environmental Engineering

Study on ESI-based Marine Oil Spill Emergency Response Decision Support

Authors
Rongchang Chen, Jing Shi, Chen Liu
Corresponding Author
Rongchang Chen
Available Online April 2016.
DOI
10.2991/amsee-16.2016.24How to use a DOI?
Keywords
component; oil spill; shoreline; ESI; decision support
Abstract

On the basis of field coastline investigation and high-resolution satellite images, an ESI database was established for Dapeng Bay and shorelines around it in Shenzhen by applying the Marine Oil-spill Emergency Response Decision Support and Dispatch Command System in this paper. An oil-spill shoreline emergency cleanup decision support process was developed and cases were studied in this paper, and functions of the system such as forecast & warning, sensitive resources and emergency resources management were applied to intelligently generate countermeasures for ESI-based shoreline sensitive resource emergency response.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Advanced Materials Science and Environmental Engineering
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/amsee-16.2016.24
ISSN
2352-5401
DOI
10.2991/amsee-16.2016.24How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Rongchang Chen
AU  - Jing Shi
AU  - Chen Liu
PY  - 2016/04
DA  - 2016/04
TI  - Study on ESI-based Marine Oil Spill Emergency Response Decision Support
BT  - Proceedings of the 2016 International Conference on Advanced Materials Science and Environmental Engineering
PB  - Atlantis Press
SP  - 85
EP  - 88
SN  - 2352-5401
UR  - https://doi.org/10.2991/amsee-16.2016.24
DO  - 10.2991/amsee-16.2016.24
ID  - Chen2016/04
ER  -