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原文传递 Assessing Structure Sheltering via Statistical Analysis of AIS Data

题名：	Assessing Structure Sheltering via Statistical Analysis of AIS Data
其他题名：	Benjamini,Y.,and Hochberg,Y.(1995)."Controlling the false discovery rate:A practical and powerful approach to multiple testing."J.R.Stat.Soc.Ser.B,57,289-300.
正文语种：	英文
作者：	David L. Young
关键词：	shelterin；structure；statistical；identification；effectiveness；partition；portfolio；forman；jetty；perform
摘要：	This study explored the use of automatic identification system (AIS) data to assess the sheltering effectiveness of three inlet structures in the coastal United States: Columbia River at the border of Oregon and Washington; Freeport, Texas; and the Savannah River at the border of Georgia and South Carolina. Archival AIS data from 2012-2014 were assembled into distinct vessel transits and partitioned into sheltered and exposed segments. Vessel-performance metrics were defined and compared for the exposed and sheltered segments during highand low-wave conditions, based on offshore wave information study data. Vessel-performance metrics were statistically analyzed to identify the sheltering effect of the inlet structures. The results show a quantifiable, statistically significant positive impact of jetty sheltering on vessel performance in all three study areas. The procedures developed in this study are intended to quantify jetty functionality from a vesselperformance perspective such that a portfolio of structures may be prioritized for maintenance.
出版年：	2018
论文唯一标识：	P-108Y2018V144N03003
英文栏目名称：	TECHNICAL PAPERS
doi：	10.1061/(ASCE)WW.1943-5460.0000445
期刊名称：	Journal of Waterway, Port, Coastal, and Ocean Engineering
拼音刊名(出版物代码)：	P-108
卷：	144
期：	03
页码：	7-17