000			03160cam a2200517M 4500
001			9781003478782
003			FlBoTFG
005			20251030122252.0
006			m o d
007			cr |n|||||||||
008			240821s2025 xx o 000 0 eng d
040			_aOCoLC-P _beng _cOCoLC-P
020			_a9781040148082 _q(electronic bk.)
020			_a1040148085 _q(electronic bk.)
020			_a9781003478782 _q(electronic bk.)
020			_a1003478786 _q(electronic bk.)
020			_a9781040148044 _q(electronic bk. : PDF)
020			_a1040148042 _q(electronic bk. : PDF)
020			_z1032765097
020			_z9781032765099
024	7		_a10.1201/9781003478782 _2doi
035			_a(OCoLC)1452732190
035			_a(OCoLC-P)1452732190
050		4	_aGC225 _b.T68 2025
072		7	_aTEC _x009130 _2bisacsh
072		7	_aSCI _x042000 _2bisacsh
072		7	_aTEC _x036000 _2bisacsh
072		7	_aTN _2bicssc
100	1		_aToyoda, Masaya. _995018
245	1	0	_aSTORM SURGE FORECASTING IN PRACTICE : _bscope of application of empirical typhoon models and future prospects / _cMasaya Toyoda, Nobuki Fukui.
260			_a[S.l.] : _bCRC PRESS, _c2025.
300			_a1 online resource
520			_aThis accessible shortform book describes storm surge forecasting to enable port managers and practitioners to forecast these and mitigate their effects. This is particularly useful as global warming increases the severity of typhoons, particularly windstorms and storm surge disasters, globally. The authors first summarize the current status of typhoons and storm surges in practice. They also present a combination of the latest findings at the research level and at the practical level. Throughout the book, the authors carefully explain the use and limitations of empirical typhoon models that practitioners should learn from, including statistical, numerical, probabilistic, data-driven and coastal vulnerability models. They also explore artificial neural networks and convolutional neural networks and their use in such models. Finally, the book describes the potential for further development of empirical typhoon models (such as future climate experiments). This book is a vital resource that enables port managers to make effective and informed decisions when conducting storm surge forecasting in practice. It also contains useful insights for civil engineering students, especially those studying coastal engineering.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aStorm surges _xMathematical models. _995019
650		0	_aTyphoons _xForecasting. _995020
650		0	_aNeural networks (Computer science) _964231
650		7	_aSCIENCE / Earth Sciences / Meteorology & Climatology _2bisacsh _995021
650		7	_aTECHNOLOGY / Remote Sensing _2bisacsh _993121
700	1		_aFukui, Nobuki. _995022
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003478782
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942			_cE-Books
999			_c67950 _d67950