海上风力发电
海洋工程
海底管道
自动识别系统
原始数据
流量(计算机网络)
环境科学
计算机科学
风力发电
工程类
实时计算
计算机安全
电气工程
岩土工程
程序设计语言
作者
Qing Yu,Kezhong Liu,A.P. Teixeira,C. Guedes Soares
出处
期刊:Journal of Navigation
[Cambridge University Press]
日期:2019-06-04
卷期号:73 (1): 131-148
被引量:40
标识
DOI:10.1017/s0373463319000444
摘要
This paper proposes a framework to assess the influence of Offshore Wind Farms (OWFs) on maritime traffic flow based on raw Automatic Identification System (AIS) data collected before and after the installation of the offshore wind turbines. The framework includes modules for data acquisition, data filtering and statistical analysis. The statistical analysis characterises the influence of an OWF on maritime traffic in terms of minimum passing distances and lateral distribution of the ship trajectories near the OWF. The framework is applied to a specific route for which AIS data is available before and after an OWF installation. The impacts of the OWF on marine traffic are diverse and depend on the ship type categories. This paper quantitatively characterises an OWF's influence on a specific route that is probabilistically modelled, which is important for further studies on OWF site selection and maritime traffic risk assessment and management.
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