20200922
14335500
1.0
FALSE
150000000
5000
Pressures_Microbial_pathogens
002
1100000.000000
6770000.000000
950000.000000
4750000.000000
1
Projected
GCS_ETRS_1989
Linear Unit: Meter (1.000000)
ETRS89_LAEA_Europe
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20230324
14071500
20230324
14071500
EEA
European Environment Agency
EEA
Kongens Nytorv 6
Copenhagen
1050
info@eea.europa.eu
DK
EEA
EEA
20230324
This raster dataset represents the input of microbial pathogens along the European coastlines.
<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
Input of microbial pathogens along European coastlines
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
Esri ArcGIS 12.9.0.31642
1
-45.144464
55.441606
65.860750
25.458621
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. Where the datasets overlapped, the cell was assigned the largest (maximum) value.
File Geodatabase Raster Dataset
dataset
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10000.000000
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FALSE
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1
pixel codes
FGDBR
TRUE
row and column
10000.000000
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