20200922 09435400 1.0 TRUE 150000000 5000 EEA European Environment Agency EEA Kongens Nytorv 6 Copenhagen 1050 info@eea.europa.eu DK EEA EEA 20200922 https://sdi.eea.europa.eu/catalogue/srv/api/records/f7fb5360-e8e6-4a98-852c-3f56f96a361c <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The pressure layer was created using three different datasets rasterized using the EEA 10 km grid: urban agglomerations reported under the Urban Waste Water Treatment Directive (2017), EMODnet dataset of ports lying on the sea coast together with passenger information (annual average 2006-2016) and Intestinal enterococci and Escherichia coli data at bathing sites as measured under the Bathing Water Directive reporting obligation (average 2008-2016). All three datasets were then classified into four classes, aggregated and classified again (quantile classes between 0 and 1, with the latter being the highest pathogen pressure).</SPAN></P><P><SPAN>This dataset has been prepared for the calculation of the combined effect index, produced for the ETC/ICM Report 4/2019 "Multiple pressures and their combined effects in Europe's seas" available on: https://www.eionet.europa.eu/etcs/etc-icm/etc-icm-report-4-2019-multiple-pressures-and-their-combined-effects-in-europes-seas-1.</SPAN></P></DIV></DIV></DIV> EEA, ETC/ICM Pressures_Microbial_pathogens 2018-09-01T00:00:00 2020-01-27T00:00:00 978-3-944280-65-3 EEA European Environment Agency EEA EEA microbial waste coastline port bathing sites urban agglomeration combined effect index passenger transport sea pressure pathogen water quality coast urban waste water treatment uwwtd bwd maritime transport <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). </SPAN></P></DIV></DIV></DIV> Marco Nurmi SYKE Marco.Nurmi@ymparisto.fi The pressure layer was created using three different datasets converted to the EEA 10 km grid: 1. Urban agglomerations reported under the Urban Waste Water Treatment Directive (UWWTD) 2. EMODnet dataset of ports with passenger information 3. Intestinal enterococci and Escherichia coli at bathing sites as measured under the Bathing Waters Directive reporting obligations. Urban agglomerations (reported under UWWTD) laying no further than 5 km from the coast were identified and compiled in a common layer. Only agglomerations with more than 5% untreated waste were selected. The information of load (PE) generated by specific agglomerations was kept. Pressure data was extrapolated to the neighbouring cells using 2 buffer belts (6 km-30% reduction) and 12 km-60% reduction. All ports (EMODnet) lying on the sea coast were selected. Information on number of passengers (annual average 2006-2016) was also obtained, which can be used as proxy for pressure intensity. Pressure data was extrapolated to the neighbouring cells using buffer belts (6 km-30% reduction) and 12 km-60% reduction. More information on https://www.emodnet.eu/geonetwork/emodnet/spa/catalog.search?node=emodnet#/metadata/c0c12986-4373-4cef-a1a4-75db11a4eafd. Intestinal enterococci and Escherichia coli data at bathing sites (as measured under the Bathing Water Directive reporting obligation, average 2008-2016) was extrapolated to the neighbouring cells using 5 km buffer belt (50% reduction). The three datasets were classified into quantiles (with the values 0.25/0.5/0.75/1.00 representing the quantiles, and 1.00 being the highest pathogen pressure) and then combined into a single pressure layer. 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