A decision support tool for ship biofouling management in the Baltic Sea
Emilia Luoma, Mirka Laurila-Pant, Elias Altarriba, Inari Helle, Lena, Granhag, Maiju Lehtiniemi, Greta Sr\.ebalien\.e, Sergej Olenin, Annukka, Lehikoinen

TL;DR
This paper introduces a Bayesian network-based decision support tool for ship biofouling management in the Baltic Sea, helping stakeholders evaluate environmental, economic, and operational trade-offs for optimal strategies.
Contribution
The paper presents a novel, case-specific decision support tool that integrates multiple risks and costs to optimize biofouling management strategies for ships.
Findings
Biocidal-free coatings with in-water cleaning are generally optimal.
Optimal cleaning intervals depend on ship operational profiles.
The tool enhances multi-perspective understanding of biofouling management.
Abstract
Biofouling of ships causes major environmental and economic consequences all over the world. In addition, biofouling management of ship hulls causes both social, environmental and economic risks that should all be considered reaching well-balanced decisions. In addition, each case is unique and thus optimal management strategy must be considered case-specifically. We produced a novel decision support tool using Bayesian networks to promote the comprehensive understanding about the complex biofouling management issue in the Baltic Sea and to identify potential management options and their consequences. The tool compares the biofouling management strategies in relation to NIS (non-indigenous species) introduction risk, eco-toxicological risk due to biocidal coating, carbon dioxide emissions resulting from fuel consumption and costs related to fuel consumption, in-water cleaning and…
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Taxonomy
TopicsMarine Biology and Environmental Chemistry · Marine Ecology and Invasive Species · Maritime Transport Emissions and Efficiency
