Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)

The Application of Grey Model to the Prediction of Extreme Sea States Induced by Typhoon

Authors
Pang Liang, Li Yu-Long
Corresponding Author
Pang Liang
Available Online August 2013.
DOI
10.2991/rsete.2013.136How to use a DOI?
Keywords
Typhoon, Extreme sea states, Long term prediction, Grey Markov Chain Model
Abstract

The sea state of South China is influenced by typhoon obviously. It is important to carry out the long-term prediction of typhoon wind, wave height and wave period for the coastal and offshore engineering. In this paper the measured wind and wave data during typhoon processes from 1964-1989 are used to predict the extreme sea states by using Grey Markov Chain Model. The calculated results show the reasonableness of the proposed method.

Copyright
© 2013, 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 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
10.2991/rsete.2013.136
ISSN
1951-6851
DOI
10.2991/rsete.2013.136How to use a DOI?
Copyright
© 2013, 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  - Pang Liang
AU  - Li Yu-Long
PY  - 2013/08
DA  - 2013/08
TI  - The Application of Grey Model to the Prediction of Extreme Sea States Induced by Typhoon
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 560
EP  - 563
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.136
DO  - 10.2991/rsete.2013.136
ID  - Liang2013/08
ER  -