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Towards integrated modeling of the long-term impacts of oil spills
Marine Policy ( IF 4.315 ) Pub Date : 2021-06-22 , DOI: 10.1016/j.marpol.2021.104554
Helena M Solo-Gabriele 1 , Tom Fiddaman 2 , Cecilie Mauritzen 3 , Cameron Ainsworth 4 , David M Abramson 5 , Igal Berenshtein 6, 7 , Eric P Chassignet 8 , Shuyi S Chen 9 , Robyn N Conmy 10 , Christa D Court 11 , William K Dewar 12 , John W Farrington 13 , Michael G Feldman 14 , Alesia C Ferguson 15 , Elizabeth Fetherston-Resch 16 , Deborah French-McCay 17 , Christine Hale 18 , Ruoying He 19 , Vassiliki H Kourafalou 6 , Kenneth Lee 20 , Yonggang Liu 4 , Michelle Masi 21 , Emily S Maung-Douglass 22 , Steven L Morey 23 , Steven A Murawski 4 , Claire B Paris 6 , Natalie Perlin 24 , Erin L Pulster 4 , Antonietta Quigg 25 , Denise J Reed 26 , James J Ruzicka 27 , Paul A Sandifer 28 , John G Shepherd 29 , Burton H Singer 30 , Michael R Stukel 31 , Tracey T Sutton 32 , Robert H Weisberg 4 , Denis Wiesenburg 33 , Charles A Wilson 34 , Monica Wilson 35 , Kateryna M Wowk 18 , Callan Yanoff 14 , David Yoskowitz 18
Affiliation  

Although great progress has been made to advance the scientific understanding of oil spills, tools for integrated assessment modeling of the long-term impacts on ecosystems, socioeconomics and human health are lacking. The objective of this study was to develop a conceptual framework that could be used to answer stakeholder questions about oil spill impacts and to identify knowledge gaps and future integration priorities. The framework was initially separated into four knowledge domains (ocean environment, biological ecosystems, socioeconomics, and human health) whose interactions were explored by gathering stakeholder questions through public engagement, assimilating expert input about existing models, and consolidating information through a system dynamics approach. This synthesis resulted in a causal loop diagram from which the interconnectivity of the system could be visualized. Results of this analysis indicate that the system naturally separates into two tiers, ocean environment and biological ecosystems versus socioeconomics and human health. As a result, ocean environment and ecosystem models could be used to provide input to explore human health and socioeconomic variables in hypothetical scenarios. At decadal-plus time scales, the analysis emphasized that human domains influence the natural domains through changes in oil-spill related laws and regulations. Although data gaps were identified in all four model domains, the socioeconomics and human health domains are the least established. Considerable future work is needed to address research gaps and to create fully coupled quantitative integrative assessment models that can be used in strategic decision-making that will optimize recoveries from future large oil spills.



中文翻译:

建立漏油长期影响的综合模型

尽管在推进对石油泄漏的科学认识方面取得了巨大进展,但仍缺乏对生态系统、社会经济和人类健康的长期影响进行综合评估建模的工具。本研究的目的是开发一个概念框架,可用于回答利益相关者有关漏油影响的问题,并确定知识差距和未来整合优先事项。该框架最初分为四个知识领域(海洋环境、生物生态系统、社会经济学和人类健康),通过公众参与收集利益相关者的问题、吸收专家对现有模型的意见以及通过系统动力学方法整合信息来探索这些知识领域之间的相互作用。这种综合产生了一个因果循环图,从中可以可视化系统的互连性。该分析的结果表明,该系统自然地分为两层:海洋环境和生物生态系统与社会经济和人类健康。因此,海洋环境和生态系统模型可用于提供输入,以探索假设情景中的人类健康和社会经济变量。在十年以上的时间尺度上,分析强调人类领域通过石油泄漏相关法律法规的变化影响自然领域。尽管在所有四个模型领域都发现了数据差距,但社会经济学和人类健康领域的建立最少。未来需要开展大量工作来解决研究空白,并创建完全耦合的定量综合评估模型,该模型可用于战略决策,从而优化未来大型石油泄漏的回收率。

更新日期:2021-06-22
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