Fishing the waves: comparing GAMs and random forest to evaluate the effect of changing marine conditions on the energy performance of vessels

IF 2.3 3区 环境科学与生态学 Q1 MARINE & FRESHWATER BIOLOGY
A. Colombelli, Jacopo Pulcinella, S. Bonanomi, E. Notti, F. Moro, A. Sala
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引用次数: 0

Abstract

The optimization of consumption and the reduction of gas emissions in fisheries rely on a thorough examination of all factors affecting the energy balance of fishing vessels. Engines, propellers, or the hydrodynamic characteristics of vessels and gears are unquestionably the primary factors affecting this balance, and an improvement in energy efficiency based on these factors is typically attained through technical modifications to existing technologies. Behavioral modifications, such as a reduction in operational speeds or the selection of closer fishing grounds, are another option. There may still be room for improvement in behavioral responses, for instance by adapting fishing strategies in response to changing weather and sea conditions. As far as the authors are aware, the influence of varying sea state and wind conditions on the energy expenditure of fishing vessels has not yet been investigated and is the focus of this research. In this study, wind and wave actions were associated with the observed activity of three fishing vessels operating in the northern Adriatic Sea: an OTB, a PTM, and a TBB trawler. The analysis made use of a comparison between two different approaches, generalized additive models (GAMs) and random forest, in order to quantify the significance of each variable on the response and generate consumption forecasts. In our analysis, the observed influence of predictors was significant albeit occasionally ambiguous. Wave height had the most obvious impact on energy expenditure, with the towing and gear handling phases being the most affected by wave action. Conversely, navigation seemed to be mostly unaffected by significant wave heights up to 1.5 meters, with unclear effects on consumption estimated above this threshold. The relationship between winds and fuel consumption was found to be nonlinear and ambiguous; hence, its significance should be investigated further.
在波浪中捕鱼:比较GAM和随机森林,以评估海洋条件变化对船只能量性能的影响
优化渔业的消费和减少气体排放取决于对影响渔船能源平衡的所有因素的彻底审查。发动机、螺旋桨或船舶和齿轮的流体动力学特性无疑是影响这种平衡的主要因素,基于这些因素的能源效率的提高通常是通过对现有技术的技术修改来实现的。另一种选择是行为上的改变,如降低作业速度或选择更近的渔场。行为反应可能仍有改进的空间,例如通过调整捕鱼策略来应对不断变化的天气和海况。据作者所知,不同海况和风力条件对渔船能源消耗的影响尚未得到调查,这是本研究的重点。在这项研究中,风和波浪作用与在亚得里亚海北部作业的三艘渔船的观测活动有关:一艘OTB、一艘PTM和一艘TBB拖网渔船。该分析利用了广义加性模型和随机森林这两种不同方法之间的比较,以量化每个变量对响应的重要性,并生成消费预测。在我们的分析中,观察到的预测因素的影响是显著的,尽管偶尔会有歧义。波浪高度对能量消耗的影响最为明显,拖曳和齿轮操作阶段受波浪作用的影响最大。相反,航行似乎大多不受高达1.5米的显著波浪高度的影响,对超过该阈值的消耗量的影响尚不清楚。风和燃料消耗之间的关系被发现是非线性和模糊的;因此,其意义有待进一步研究。
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来源期刊
Mediterranean Marine Science
Mediterranean Marine Science MARINE & FRESHWATER BIOLOGY-
CiteScore
5.20
自引率
17.90%
发文量
34
审稿时长
>12 weeks
期刊介绍: The journal Mediterranean Marine Science (MMS), published by the Hellenic Centre for Marine Research (HCMR), issues three volumes annually. The journal welcomes original research articles, short communications, New Mediterranean Biodiversity records, extended reviews, comments, and Theme sections in all fields of Oceanography, Marine Biology, Marine Conservation, Fisheries and Aquaculture in the Mediterranean area and the adjacent regions. All content is peer reviewed.
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