{"id":32076,"date":"2014-03-10T00:15:29","date_gmt":"2014-03-09T23:15:29","guid":{"rendered":"https:\/\/oneearth-oneocean.com\/2014\/03\/10\/a-multi-criteria-evaluation-system-for-marine-litter-pollution-based-on-statistical-analyses-of-ospar-beach-litter-monitoring-time-series\/"},"modified":"2022-12-20T22:39:37","modified_gmt":"2022-12-20T21:39:37","slug":"a-multi-criteria-evaluation-system-for-marine-litter-pollution-based-on-statistical-analyses-of-ospar-beach-litter-monitoring-time-series","status":"publish","type":"post","link":"https:\/\/oneearth-oneocean.com\/en\/research-en\/2014\/a-multi-criteria-evaluation-system-for-marine-litter-pollution-based-on-statistical-analyses-of-ospar-beach-litter-monitoring-time-series\/","title":{"rendered":"A  multi-criteria evaluation system for marine litter pollution based on  statistical analyses of OSPAR beach litter monitoring time series"},"content":{"rendered":"<pre>Marcus Schulz, Daniel Neumann, David M. Fleet, Michael Matthies, A \nmulti-criteria evaluation system for marine litter pollution based on \nstatistical analyses of OSPAR beach litter monitoring time series, \nMarine Environmental Research, Volume 92, December 2013, Pages 61-70, \nISSN 0141-1136, <a href=\"http:\/\/dx.doi.org\/10.1016\/j.marenvres.2013.08.013\" target=\"_blank\" rel=\"noopener\">http:\/\/dx.doi.org\/10.1016\/j.marenvres.2013.08.013<\/a>.\n(<a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0141113613001475\" target=\"_blank\" rel=\"noopener\">http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0141113613001475<\/a>)\nAbstract: During the last decades, marine pollution with anthropogenic \nlitter has become a worldwide major environmental concern. Standardized \nmonitoring of litter since 2001 on 78 beaches selected within the \nframework of the Convention for the Protection of the Marine Environment \nof the North-East Atlantic (OSPAR) has been used to identify temporal \ntrends of marine litter. Based on statistical analyses of this dataset a \ntwo-part multi-criteria evaluation system for beach litter pollution of \nthe North-East Atlantic and the North Sea is proposed. Canonical \ncorrelation analyses, linear regression analyses, and non-parametric \nanalyses of variance were used to identify different temporal trends. A \nclassification of beaches was derived from cluster analyses and served \nto define different states of beach quality according to abundances of \n17 input variables. The evaluation system is easily applicable and \nrelies on the above-mentioned classification and on significant temporal \ntrends implied by significant rank correlations.\nKeywords: Marine litter; Canonical correlation analysis; Temporal trend; \nCluster analysis; Classification system; Beach evaluation<\/pre>\n","protected":false},"excerpt":{"rendered":"<p>Marcus Schulz, Daniel Neumann, David M. Fleet, Michael Matthies, A multi-criteria evaluation system for marine litter pollution based on statistical analyses of OSPAR beach litter monitoring time series, Marine Environmental Research, Volume 92, December 2013, Pages 61-70, ISSN 0141-1136, http:\/\/dx.doi.org\/10.1016\/j.marenvres.2013.08.013. (http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0141113613001475) Abstract: 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. Keywords: Marine litter; Canonical correlation analysis; Temporal trend; Cluster analysis; Classification system; Beach evaluation<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3649,3423],"tags":[3758,3759,1585],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>A multi-criteria evaluation system for marine litter pollution based on statistical analyses of OSPAR beach litter monitoring time series - One Earth - One Ocean e. V.<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/oneearth-oneocean.com\/en\/research-en\/2014\/a-multi-criteria-evaluation-system-for-marine-litter-pollution-based-on-statistical-analyses-of-ospar-beach-litter-monitoring-time-series\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A multi-criteria evaluation system for marine litter pollution based on statistical analyses of OSPAR beach litter monitoring time series - One Earth - One Ocean e. V.\" \/>\n<meta property=\"og:description\" content=\"Marcus Schulz, Daniel Neumann, David M. Fleet, Michael Matthies, A multi-criteria evaluation system for marine litter pollution based on statistical analyses of OSPAR beach litter monitoring time series, Marine Environmental Research, Volume 92, December 2013, Pages 61-70, ISSN 0141-1136, http:\/\/dx.doi.org\/10.1016\/j.marenvres.2013.08.013. (http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0141113613001475) Abstract: 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. Keywords: Marine litter; Canonical correlation analysis; Temporal trend; Cluster analysis; Classification system; Beach evaluation\" \/>\n<meta property=\"og:url\" content=\"https:\/\/oneearth-oneocean.com\/en\/research-en\/2014\/a-multi-criteria-evaluation-system-for-marine-litter-pollution-based-on-statistical-analyses-of-ospar-beach-litter-monitoring-time-series\/\" \/>\n<meta property=\"og:site_name\" content=\"One Earth - One Ocean e. 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(http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0141113613001475) Abstract: 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. 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