University of the Azores, CIBIO InBIO - Research Centre in Biodiversity and Genetic Resources and OKEANOS, Centre for Research and Development at the University of the Azores, Department of Oceanography and Fisheries, Rua Prof. Dr. Frederico Machado, Horta, Azores, 9901-862, Portugal.
Department of Marine Microbiology and Biogeochemistry, NIOZ Royal Netherlands Institute for Sea Research, Utrecht University, P.O. Box 59, Den Burg, 1790 AB, the Netherlands.
Environ Pollut. 2019 Jun;249:666-675. doi: 10.1016/j.envpol.2019.03.084. Epub 2019 Mar 22.
Three-quarters of all marine debris (MD) consists of plastic, a reflection of their worldwide use, production and waste mismanagement. Data on MD distributions can improve our ability to effectively reduce debris that escapes onto shorelines and the ocean. In this study, the Matrix Scoring Technique (Marine Strategy Framework Directive Technical Group on Marine Litter) was applied as an approach to calculate the likelihood of single debris items originating from a series of potential sources. Factors considered were: identity and function of debris, beach location, influential activities, "mix" of debris found, presence of indicator items, and quantity of MD. The standing-stock (abundance and composition) of MD was investigated in two sandy beaches (Conceição and Porto Pim) of the Azores Archipelago (NE Atlantic) for the period 2012-2018. The results of this study show promise towards the implementation of a new classification method to determine beach debris sources in remote open-ocean areas.
四分之三的海洋垃圾（MD）由塑料组成，这反映了它们在世界范围内的使用、生产和废物管理不善。关于 MD 分布的数据可以提高我们有效减少逃到海岸线和海洋中的碎片的能力。在这项研究中，矩阵评分技术（海洋战略框架指令海洋垃圾技术小组）被应用于计算单个碎片物品源自一系列潜在来源的可能性。考虑的因素包括：碎片的身份和功能、海滩位置、有影响力的活动、发现的“混合”碎片、指示物的存在以及 MD 的数量。2012 年至 2018 年期间，对亚速尔群岛（东北大西洋）的两个沙滩（ Conceição 和 Porto Pim）的 MD 存量（丰度和组成）进行了调查。这项研究的结果表明，有望在偏远的开阔海域实施一种新的分类方法来确定海滩碎片的来源。
