EnviRisk – Automated Environmental Risk Assessment for Ship Traffic in Norwegian Waters

O. W. Brude, Vivian Jakobsen, Øyvind Rinaldo, Harald B. Tvedt, A. Rudberg, G. Gravir, Knut Erik Olsen
{"title":"EnviRisk – Automated Environmental Risk Assessment for Ship Traffic in Norwegian Waters","authors":"O. W. Brude, Vivian Jakobsen, Øyvind Rinaldo, Harald B. Tvedt, A. Rudberg, G. Gravir, Knut Erik Olsen","doi":"10.7901/2169-3358-2021.1.688603","DOIUrl":null,"url":null,"abstract":"\n A near real-time environmental calculation of oil spill risk along the entire coast of Norway is developed as the EnviRisk model. Previous risk assessments utilize older decision models and repeated manual calculations that are costly as well as not accounting for the complexity of and changes in, ship traffic. Furthermore, cloud-providers have enabled enough data ingest and processing power to utilize high resolution shore and satellite based AIS data (Automated Identification System), to develop more dynamic and accurate risk calculation models than before.\n EnviRisk builds upon AISyRisk, an automated risk calculation model for marine traffic developed by the Norwegian Coastal Administration (NCA) and DNV GL. AISyRisk, includes a long-term data collection on probability of ship accidents and consequences for fatalities and oil spills for Norwegian waters (Norwegian Coastal Administration 2020). From AISyRisk, the probabilities for a certain oil spill (location, oil type and volume) is developed further to assess the environmental consequence in the EnviRisk model. As part of EnviRisk, extensive oil spill modelling is being performed in the cloud with the open source OpenDrift model (https://github.com/opendrift/opendrift/wiki) released by the Norwegian Meteorological Institute. This, combined with environmental sensitivity for both seabirds, marine mammals, fish and shoreline habitats, makes it feasible to quantify the environmental consequence and risk. Environmental risk is presented on a 10x10 km grid for the previous month of ship traffic and also accumulates statistics for risk over time. This paper presents the automated oil spill modelling and environmental risk calculation in EnviRisk. The method builds upon previous risk assessments for NCA for the Norwegian Coast (Braathen and Brude, 2011), for Svalbard and Jan Mayen (Braathen et. al., 2014) and for Greenland for Defence Command Denmark also in 2014 (Eikeland et. al., 2014). The approach is significantly improved particularly with respect to the oil spill modelling.\n Updates of AISyRisk and EnviRisk data and calculations are done monthly and the results published on a web portal administered by the Norwegian Coastal Administration where aggregated results are publicly available.","PeriodicalId":14447,"journal":{"name":"International Oil Spill Conference Proceedings","volume":"30 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Oil Spill Conference Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7901/2169-3358-2021.1.688603","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

A near real-time environmental calculation of oil spill risk along the entire coast of Norway is developed as the EnviRisk model. Previous risk assessments utilize older decision models and repeated manual calculations that are costly as well as not accounting for the complexity of and changes in, ship traffic. Furthermore, cloud-providers have enabled enough data ingest and processing power to utilize high resolution shore and satellite based AIS data (Automated Identification System), to develop more dynamic and accurate risk calculation models than before. EnviRisk builds upon AISyRisk, an automated risk calculation model for marine traffic developed by the Norwegian Coastal Administration (NCA) and DNV GL. AISyRisk, includes a long-term data collection on probability of ship accidents and consequences for fatalities and oil spills for Norwegian waters (Norwegian Coastal Administration 2020). From AISyRisk, the probabilities for a certain oil spill (location, oil type and volume) is developed further to assess the environmental consequence in the EnviRisk model. As part of EnviRisk, extensive oil spill modelling is being performed in the cloud with the open source OpenDrift model (https://github.com/opendrift/opendrift/wiki) released by the Norwegian Meteorological Institute. This, combined with environmental sensitivity for both seabirds, marine mammals, fish and shoreline habitats, makes it feasible to quantify the environmental consequence and risk. Environmental risk is presented on a 10x10 km grid for the previous month of ship traffic and also accumulates statistics for risk over time. This paper presents the automated oil spill modelling and environmental risk calculation in EnviRisk. The method builds upon previous risk assessments for NCA for the Norwegian Coast (Braathen and Brude, 2011), for Svalbard and Jan Mayen (Braathen et. al., 2014) and for Greenland for Defence Command Denmark also in 2014 (Eikeland et. al., 2014). The approach is significantly improved particularly with respect to the oil spill modelling. Updates of AISyRisk and EnviRisk data and calculations are done monthly and the results published on a web portal administered by the Norwegian Coastal Administration where aggregated results are publicly available.
挪威水域船舶交通环境风险自动评估
对挪威整个海岸的石油泄漏风险进行了近乎实时的环境计算,称为EnviRisk模型。以前的风险评估使用旧的决策模型和重复的人工计算,成本高昂,而且没有考虑到船舶交通的复杂性和变化。此外,云提供商已经提供了足够的数据摄取和处理能力,可以利用高分辨率的岸上和卫星自动识别系统(AIS)数据,开发出比以前更动态、更准确的风险计算模型。EnviRisk建立在AISyRisk的基础上,AISyRisk是由挪威海岸管理局(NCA)和DNV GL开发的海上交通自动风险计算模型。AISyRisk包括对挪威水域船舶事故概率、死亡和漏油后果的长期数据收集(挪威海岸管理局2020)。从AISyRisk中,进一步开发了特定溢油的概率(位置,油类型和体积),以评估EnviRisk模型中的环境后果。作为EnviRisk的一部分,挪威气象研究所发布了开源的OpenDrift模型(https://github.com/opendrift/opendrift/wiki),在云中进行了大量的溢油建模。这一点,再加上对海鸟、海洋哺乳动物、鱼类和海岸线栖息地的环境敏感性,使得量化环境后果和风险成为可能。环境风险以上月船舶交通的10x10公里网格表示,并累积了随时间变化的风险统计数据。本文介绍了EnviRisk中的溢油自动建模和环境风险计算。该方法建立在之前对挪威海岸的NCA风险评估(Braathen和Brude, 2011年),斯瓦尔巴群岛和扬马延岛(Braathen等人,2014年)以及2014年丹麦国防司令部格陵兰岛(Eikeland等人,2014年)的风险评估基础之上。该方法得到了显著改进,特别是在溢油建模方面。AISyRisk和EnviRisk的数据和计算每月更新一次,结果公布在挪威海岸管理局管理的门户网站上,汇总结果向公众开放。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信