Institute of Environmental Systems Research (USF), University of Osnabrueck, Barbarastrasse 12, 49076 Osnabrueck, Germany.
Mar Environ Res. 2013 Dec;92:61-70. doi: 10.1016/j.marenvres.2013.08.013. Epub 2013 Sep 10.
During the last decades, marine pollution with anthropogenic litter has become a worldwide major environmental concern. Standardized monitoring of litter since 2001 on 78 beaches selected within the framework of the Convention for the Protection of the Marine Environment of the North-East Atlantic (OSPAR) has been used to identify temporal trends of marine litter. Based on statistical analyses of this dataset a two-part multi-criteria evaluation system for beach litter pollution of the North-East Atlantic and the North Sea is proposed. Canonical correlation analyses, linear regression analyses, and non-parametric analyses of variance were used to identify different temporal trends. A classification of beaches was derived from cluster analyses and served to define different states of beach quality according to abundances of 17 input variables. The evaluation system is easily applicable and relies on the above-mentioned classification and on significant temporal trends implied by significant rank correlations.
在过去的几十年里，人为垃圾造成的海洋污染已成为全世界主要的环境问题之一。自 2001 年以来，根据《保护东北大西洋海洋环境公约》（OSPAR）框架内选定的 78 个海滩，对垃圾进行了标准化监测，以确定海洋垃圾的时间趋势。基于对该数据集的统计分析，提出了一种用于东北大西洋和北海海滩垃圾污染的两部分多标准评估系统。典型相关分析、线性回归分析和非参数方差分析用于识别不同的时间趋势。聚类分析得出了海滩的分类，并根据 17 个输入变量的丰度来定义海滩质量的不同状态。该评估系统易于应用，并依赖于上述分类和具有显著等级相关性的显著时间趋势。
