20240502
16101500
1.0
FALSE
coastal_water_bodies_with_class_public
002
-302040.316500
475777.780600
524068.460800
1225872.940400
1
Projected
GCS_OSGB_1936
Linear Unit: Meter (1.000000)
British_National_Grid
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.4.0'><WKT>PROJCS["British_National_Grid",GEOGCS["GCS_OSGB_1936",DATUM["D_OSGB_1936",SPHEROID["Airy_1830",6377563.396,299.3249646]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",400000.0],PARAMETER["False_Northing",-100000.0],PARAMETER["Central_Meridian",-2.0],PARAMETER["Scale_Factor",0.9996012717],PARAMETER["Latitude_Of_Origin",49.0],UNIT["Meter",1.0],AUTHORITY["EPSG",27700]]</WKT><XOrigin>-5220400</XOrigin><YOrigin>-15524400</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>27700</WKID><LatestWKID>27700</LatestWKID></ProjectedCoordinateSystem>
20250213
11304200
20250213
11304200
625000
5000
INSPIRE
1E507D3E-51D7-4B33-9300-5991B2FF9ABA
dataset
external
db4f6c867a412e9b90813801cc9f877639754ed2
Scottish Environment Protection Agency
Angus Smith Building, Unit 6, 4 Parklands Avenue, Eurocentral
Holytown
ML1 4WQ
foi@sepa.org.uk
GB
North Lanarkshire
03000 99 66 99
9am - 5pm
Scottish Environment Protection Agency
Scottish Environment Protection Agency
Scottish Environment Protection Agency
True
Scottish Environment Protection Agency
20250213
Enterprise Geodatabase Feature Class
v10
https://www.sepa.org.uk/environment/environmental-data/
https://map.sepa.org.uk/server/services/Open/Hydrography/MapServer/WMSServer
WMS
https://map.sepa.org.uk/server/rest/services/Open/Hydrography/MapServer
REST service
Esri ArcGIS 13.4.0.55405
WFD Classification - Coastal Water Bodies PUBLIC
vector digital data
2022-04-11T00:00:00
WFD Classification Coastal Water Bodies
external
db4f6c867a412e9b90813801cc9f877639754ed2
Scottish Environment Protection Agency
Angus Smith Building, Unit 6, 4 Parklands Avenue, Eurocentral
Holytown
ML1 4WQ
foi@sepa.org.uk
GB
North Lanarkshire
03000 99 66 99
9am - 5pm
Scottish Environment Protection Agency
Scottish Environment Protection Agency
Scottish Environment Protection Agency
True
Scottish Environment Protection Agency
Coastal
WFD
Water Framework Directive
waterbody
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This feature class was created using the OS boundary line High Water dataset, OS Open Map Local dataset and UKHO Open Data 3 nautical mile limit. The original data was created for the </SPAN><A href="https://eur-lex.europa.eu:443/legal-content/EN/TXT/?uri=CELEX:32000L0060" STYLE="text-decoration:underline;"><SPAN>Water Framework Directive </SPAN></A><SPAN>(2000/60/EC). </SPAN></P><P><SPAN>Article 2, clause 7 of the WFD defines coastal waterbodies as ‘…a surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters’. Due to the large number of islands in Scotland, coastal waters were defined by territorial waters 3 nautical miles from the Mean High Water coastline covering all water within the 3 nautical mile territorial limit. </SPAN></P><P><SPAN>The dataset includes the overall classification values from the most recent year, usually the previous year. </SPAN></P></DIV></DIV></DIV>
1
-14.758144
-0.602725
60.916137
54.128927
Scotland
© Scottish Environment Protection Agency. Contains OS data Copyright Crown copyright [and database right].
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Available free of charge under the terms of the current Open Government Licence (OGL) (</SPAN><A href="https://www.nationalarchives.gov.uk:443/doc/open-government-licence/version/3/" STYLE="text-decoration:underline;"><SPAN>https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/</SPAN></A><SPAN>). </SPAN></P><P><SPAN>Acknowledgement of the copyright and source of the data is required by including the following attribution statement: © Scottish Environment Protection Agency. Contains OS data Copyright Crown copyright and database right (year).</SPAN></P></DIV></DIV></DIV>
Coastal waterbodies created for the Water Framework Directive (2000/60/EC). The dataset includes the overall classification values from the most recent year, usually the previous year.
GEMET - INSPIRE themes, version 1.0
2008-06-01T00:00:00
http://www.eionet.europa.eu/gemet/inspire_themes
Area management/restriction/regulation zones and reporting units
GEMET - INSPIRE themes, version 1.0
2008-06-01T00:00:00
http://www.eionet.europa.eu/gemet/inspire_themes
Hydrography
10000
external
db4f6c867a412e9b90813801cc9f877639754ed2
Scottish Environment Protection Agency
Angus Smith Building, Unit 6, 4 Parklands Avenue, Eurocentral
Holytown
ML1 4WQ
foi@sepa.org.uk
GB
North Lanarkshire
03000 99 66 99
9am - 5pm
Scottish Environment Protection Agency
Scottish Environment Protection Agency
Scottish Environment Protection Agency
True
Scottish Environment Protection Agency
COMMISSION REGULATION (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
2010-12-08T00:00:00
Domain consistent.
1
COMMISSION REGULATION (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
2010-12-08T00:00:00
withheld
Dataset complete.
1
The original coastal and transitional water bodies were created in 2003 using the coastline from the OS Panorama dataset which was joined to the 3 nautical mile limit from UKHO. The resulting sea polygons were then subdivided by Tidal Waters staff into coastal and transitional waterbodies. The transitional and coastal waters were identified with the help of typology GIS data. SNH provided information on the location of lagoons which were digitised and incorporated into the dataset.
This dataset was derived from OS Boundary Line High Water, OS Open Map Local and UKHO Open Data 3 nautical mile limit in 2022. Procedures - To re-create the coastal and transitional water bodies from the OS Boundary Line HW (Scotland polygon) dataset, along with the existing coastal and transitional water bodies from SEPA’s website the steps below were followed - 1. Identifying and remove overlapping polygons a. Merge existing coastal & transitional waterbodies. b. Union between the Scotland HW polygon & the merged coastal & transitional waterbodies.
c. Overlaps can be identified using attributes (Scotland HW FID > 0 + Coastal WBs FID > 0) as the area is now land (the Scotland HW polygon is the master dataset), these can be merged back into the Scotland polygon, i.e. the overlapping area is removed from the old coastal & transitional wbs.
2. Identify and Fill the gaps
a. Using Difference toolset identify all gaps between Scotland HW polygon and existing coastal and transitional water bodies (output from 1-c).
b. Multipart to single part to explode the output from the previous step. Delete the big polygon (I.e. land area). Now we are left with individual polygons which are covering the gaps between existing coastal-transitional waterbodies and the up to date HW polygon.
c. Dissolve existing coastal and transitional waterbodies and explode into single part features. Convert the polygons into line features.
d. Convert individual Costal and Transitional polygon to line feature and explode to single part features. e. Select and delete all line features from the exploded coastal-transitional line features that touches the dissolved coastal-transitional line feature.
f. Now extend the remaining line features by 100m from the previous analysis.
g. Using the extended line, split all polygons that fill the gap between existing coastal-transitional waterbodies and the HW polygon (i.e. output from step 2). h. Create a midpoint for each gap polygon and join these midpoints to the nearest existing coastal and transitional polygon to obtain the waterbody attributes.
i. Join these midpoints back to each gap polygon.
j. Now dissolve these gap polygons with the Step 1 – C output based on WB ID.
3. Check a. Check number of polygons in the new dataset against the existing coastal and transitional dataset. If there are any missing, download required polygons from OS Open Map Local and add them to the dataset. Majority of missing polygons were saline lagoons, often very small areas. b. Using topology toolset identify any overlapping polygon within the dataset and fix them.
0
EPSG
6.3(3.0.1)
WFD Coastal Water Body Classification public
Feature Class
0
polygon
ESRI
Shape
shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
category
Category
String
20
0
0
Type of feature: Coastal
SEPA
Type of feature: Coastal
area_km2
Area (km²)
Double
8
38
8
Surface area of the water body in km².
SEPA
Surface area of the water body in km².
perimeter_km
Perimeter (km)
Double
8
38
8
Perimeter of the water body in km.
SEPA
Perimeter of the water body in km.
water_body_id
Water Body Id
Integer
4
10
0
Unique water body identifier.
SEPA
Unique water body identifier.
objectid
objectid
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
expiry_date
Expiry Date
String
8000
0
0
Date on which waterbody was expired.
SEPA
Date on which waterbody was expired.
water_body_name
Water Body Name
String
8000
0
0
Water Body Name
SEPA
Water Body Name
area_sq_km
Area Sq Km
Double
8
38
8
Surface area of the loch water body in km².
SEPA
Surface area of the loch water body in km².
rbd_code
RBD Code
Integer
4
10
0
Numeric code for the River Basin District
SEPA
Numeric code for the River Basin District
river_basin_district
River Basin District
String
8000
0
0
River Basin District name
SEPA
River Basin District name
sbd_code
SBD Code
Integer
4
10
0
sub basin district numeric code
SEPA
sub basin district numeric code
sub_basin_district
Sub Basin District
String
8000
0
0
The name of the sub basin district or Advisory Group, in which the river water body lies.
SEPA
The name of the sub basin district or Advisory Group, in which the river water body lies.
heavily_modified
Heavily Modified
String
8000
0
0
Indicates if the shape of the waterbody has been heavily modified (Y = yes, N = no) by human activities.
SEPA
Indicates if the shape of the waterbody has been heavily modified (Y = yes, N = no) by human activities.
artificial
Artificial
String
8000
0
0
Indicates if the waterbody has been created by human activities (Y = yes, N = no).
SEPA
Indicates if the waterbody has been created by human activities (Y = yes, N = no).
genre
Genre
String
8000
0
0
Type of waterbody, e.g. surface water, heavily modified water body.
SEPA
Type of waterbody, e.g. surface water, heavily modified water body.
hmawb_reason
HMAWB Reason
String
8000
0
0
Reason for HMWB or artificial waterbody designation (if HMWB = Y).
SEPA
Reason for HMWB designation (if HMWB = Y).
easting
Easting
Integer
4
10
0
Easting for the centre point of river water body.
SEPA
Easting for the centre point of river water body.
northing
Northing
Integer
4
10
0
Northing for the centre point of river water body.
SEPA
Northing for the centre point of river water body.
reporting_latitude
Reporting Latitude
Double
8
38
8
Northing converted to Latitude
SEPA
Northing converted to Latitude
reporting_longitude
Reporting Longitude
Double
8
38
8
Easting converted to Latitude
SEPA
Easting converted to Latitude
team
Team
String
8000
0
0
SEPA team name
SEPA
SEPA team name
less_than_good
Less Than Good
String
8000
0
0
Y = Classification is less than good status
N = Classification high or good
SEPA
Y = Classification is less than good status
N = Classification high or good
classification_year
Classification Year
Integer
4
10
0
Classification Year
SEPA
Classification Year
current_year
Current Year
String
8000
0
0
Flag to indicate if the CLASSIFICATION_YEAR is the current year (Y or N).
SEPA
Flag to indicate if the CLASSIFICATION_YEAR is the current year (Y or N).
class_ds_url
Class Ds Url
String
8000
0
0
URL to the public facing Water Classification Hub.
SEPA
URL to the public facing Water Classification Hub.
certainty
Certainty
Double
8
38
8
Percentage probability that this class represents the true class of the waterbody
SEPA
Percentage probability that this class represents the true class of the waterbody
certainty_band
Certainty Band
String
8000
0
0
Certainty Band, e.g. High, Medium, Low
SEPA
Certainty Band, e.g. High, Medium, Low
overall_classification
Overall Classification
String
8000
0
0
Overall classification status of the river water body as required by the Water Framework Directive.
SEPA
Overall classification status of the river water body as required by the Water Framework Directive.
wise_code
Wise Code
String
8000
0
0
Unique European code for the river water body for use by the Water Information System for Europe (WISE).
SEPA
Unique European code for the river water body for use by the Water Information System for Europe (WISE).
eco_region
Eco Region
Integer
4
10
0
Rivers, lochs, groundwaters in Great Britain = 18
Coastal and Transitional - Atlantic = 1, North Sea = 4
SEPA
Rivers, lochs, groundwaters in Great Britain = 18
Coastal and Transitional - Atlantic = 1, North Sea = 4
data_source
Data Source
String
8000
0
0
Source of data, SEPA or EA
SEPA
Source of data, SEPA or EA
coastal_typology
Coastal Typology
String
8000
0
0
The coastal typology category for the waterbody.
WFD
The coastal typology category for the waterbody.
wb_id
Water Body ID (text)
String
48
0
0
Unique water body identifier (text).
SEPA
Unique water body identifier (text).
st_area(shape)
Area (m²)
Double
0
0
0
Area (m²)
PostGIS
Area (m²)
st_perimeter(shape)
Perimeter (m)
Double
0
0
0
Perimeter (m)
PostGIS
Perimeter (m)
Simple
FALSE
0
TRUE
FALSE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