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Title: Beach litter forecasting on the south-eastern coast of the Bay of Biscay: A bayesian networks approach
Authors: Granado, Igor; Basurko, Oihane C.; Rubio, Anna; Ferrer, Luis and Hernandez-Gonzalez, Jeronimo; Epelde, Irati; Fernandes, Jose A.
Citation: CONTINENTAL SHELF RESEARCH, 2019, 180, 14-23
Abstract: The Bay of Biscay is being affected by increasing level of marine litter, which is causing a wide variety of adverse environmental, social, public health, safety and economic impacts. The term ``beach littering�� has been coined to refer to the marine litter that is deposited on beaches. This litter may come from the sea and through land-based pathways, either from remote or adjacent areas. Dirty beaches can derive in loss of aesthetical value, beach cleaning cost, environmental harm or tourism revenue reduction among others. Therefore, local authorities have started to search for cost-effective approaches to understand and reduce litter accumulation in their beaches. A model is presented in this paper, which is based on Bayesian Networks and enables the forecasting of marine litter beaching at seven beaches located on the south-eastern coast of the Bay of Biscay. The model uses 9.5 years of metocean, environmental and beach cleaning data. The class to predict was defined as a variable with two possible values: Low and High accumulation of beach litter. The obtained models reached an average accuracy of 65.3 +/- 6.4\%, being the river flow, precipitation, wind and wave the most significant predictors and likely drivers of litter accumulation in beaches. These models may provide some insight to local authorities on the drivers affecting the litter beaching and may help to define their strategies for its reduction.
Keywords: Marine litter; Bayesian network; Beach; Forecasting; Beach littering; Bay of Biscay; MARINE LITTER; PLASTIC DEBRIS; ACCUMULATION; TRANSPORT; FRAMEWORK
Issue Date: 2019
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Type: Article
Language: 
DOI: 10.1016/j.csr.2019.04.016
URI: http://dspace.azti.es/handle/24689/972
ISSN: 0278-4343
E-ISSN: 1873-6955
Funder: European Union (LIFE LEMA project)European Union (EU) [LIFE15/ENV/ES/000252]
Training of Technologists Programme of the Department of Economic Development and Infrastructures of the Basque Government
Gipuzkoa Talent Fellowships by Gipuzkoa Provincial Council
Spanish Ministry of Science, Innovation and Universities
Appears in Publication types:Artículos científicos



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