@inproceedings{b58bc1b0a09e4d81a3d52c3961ab3373,
title = "Long-lead-time prediction of storm surge using effective controlling parameters and adaptive neuro-fuzzy inference system approach",
abstract = "Accurate prediction of typhoon-induced surge is an important issue for coastal disaster prevention. The purpose of this study is to develop a long-lead-time prediction model for storm surge by using adaptive neuro-fuzzy inference system approach (ANFIS). We carefully select effective controlling parameters, including the maximum wind speed, central pressure deficit, radius of maximum wind, location of typhoon center to the tidal station (i.e., distance and angle). In addition, the forward speed and direction of typhoon are considered to improve the long-lead-time prediction. The prediction performances are examined and discussed. Overall, predictions up to t + 9 hour ahead of lead time are satisfactory (with correlation coefficient CC > 0.7).",
keywords = "Adaptive neuro-fuzzy inference system, Effective controlling parameters, Long-lead-time prediction, Storm surge, Typhoon",
author = "Chao, {Wei Ting} and Young, {Chih Chieh} and Liu, {Chian Yi}",
note = "Publisher Copyright: {\textcopyright} 2019 by the International Society of Offshore and Polar Engineers (ISOPE).; 29th International Ocean and Polar Engineering Conference, ISOPE 2019 ; Conference date: 16-06-2019 Through 21-06-2019",
year = "2019",
language = "???core.languages.en_GB???",
isbn = "9781880653852",
series = "Proceedings of the International Offshore and Polar Engineering Conference",
publisher = "International Society of Offshore and Polar Engineers",
pages = "3740--3745",
editor = "Chung, {Jin S.} and Akselsen, {Odd M.} and HyunWoo Jin and Hiroyasu Kawai and Yongwon Lee and Dmitri Matskevitch and {Ho Van}, Suak and Decheng Wan and Wang, {Alan M.} and Satoru Yamaguchi",
booktitle = "Proceedings of the 29th International Ocean and Polar Engineering Conference, ISOPE 2019",
}