BGS Hosted Metadata
Source apportionment of nutrient contributions to rivers in England and Wales modelled with SAGIS
Estimates of in-river concentrations (mg/l) and loads (kg/day) of nutrients to rivers in England and Wales from multiple sector sources, modelled with SAGIS (Source Apportionment GIS). The nutrients include nitrate (mg/l N) and ortho-phosphate (mg/l P); the estimate loads are expressed as kilograms per day (kg/day) and the in-river concentrations as milligrams per litre (mg/l). Sources are both diffuse and point. Diffuse sources include livestock farming, arable farming, highways, urban runoff, background (from soils), onsite wastewater treatment systems and atmospheric deposition. Point sources include treated wastewater effluent, combined sewer overflows and storm tanks, industrial discharges and mine water discharges. Concentrations and loads are modelled using the Environment Agency's catchment river model, SIMCAT, at the locations of model features or every 1 km along each river, taking into account all upstream sources and user defined river losses. SAGIS is a modelling framework was developed through the UK Water Industry Research Programme (UKWIR) project 'Chemical Source Apportionment under the WFD' [1], with support from the Environment Agency and SEPA. The model is also described in [2] [1] UKWIR (2012) Chemical Source Apportionment under the WFD (12/WW/02/3). Final report for UK Water Industry Research, 1 Queen Annes Gate, London, ISBN: 1 84057 637 5. [2] Comber, S.D.; Smith, R.; Daldorph, P.; Gardner, M.J.; Constantino, C.; Ellor, B. (2013) Development of a Chemical Source Apportionment Decision Support Framework for Catchment Management. Environ. Sci. Technol. 47, 9824-9832 Full details about this dataset can be found at https://doi.org/10.5285/8c5d9e38-0244-4a39-8600-a85513a6fecf
Simple
- Date (Publication)
- 2017-02-23
- Date (Creation)
- 2014-11-30
- Citation identifier
- https://catalogue.ceh.ac.uk/id/8c5d9e38-0244-4a39-8600-a85513a6fecf
- Citation identifier
- doi: / 10.5285/8c5d9e38-0244-4a39-8600-a85513a6fecf
- Other citation details
-
Daldorph, P. (2017). Source apportionment of nutrient contributions to rivers in England and Wales modelled with SAGIS. NERC Environmental Information Data Centre 10.5285/8c5d9e38-0244-4a39-8600-a85513a6fecf
- Point of contact
-
Organisation name Individual name Electronic mail address Role Atkins Ltd Daldorph, P.
Point of contact Atkins Ltd Daldorph, P.
Author UK Water Industry Research UKWIR
Owner NERC EDS Environmental Information Data Centre Custodian NERC Environmental Information Data Centre Publisher UK Water Industry Research Owner
- Maintenance and update frequency
- Not planned
-
GEMET - INSPIRE themes, version 1.0
-
-
Environmental Monitoring Facilities
-
-
GEMET - Concepts, version 4.1.3
- Keywords
-
- Pollution
-
SAGIS
-
SIMCAT
- Access constraints
- Other restrictions
- Other constraints
- Registration is required to access this data
- Use constraints
- Other restrictions
- Other constraints
- Licence terms and conditions apply
- Use constraints
- Other restrictions
- Other constraints
-
The following copyright notice should be placed on all copies of information or images derived from this dataset: 'Based upon [insert dataset name] © Copyright and Database right UKWIR.'
- Use constraints
- Other restrictions
- Other constraints
-
If you reuse this data, you should cite: Daldorph, P. (2017). Source apportionment of nutrient contributions to rivers in England and Wales modelled with SAGIS. NERC Environmental Information Data Centre https://doi.org/10.5285/8c5d9e38-0244-4a39-8600-a85513a6fecf
- Spatial representation type
- Vector
- Distance
- 1000 urn:ogc:def:uom:EPSG::9001
- Language
- English
- Character set
- UTF8
- Topic category
-
- Environment
- Begin date
- 2006-01-01
- End date
- 2009-12-31
))
- Unique resource identifier
- OSGB 1936 / British National Grid
- Distribution format
-
Name Version ESRI shapefile
- Distributor contact
-
Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre
Distributor
- OnLine resource
-
Protocol Linkage Name https://data-package.ceh.ac.uk/data/8c5d9e38-0244-4a39-8600-a85513a6fecf Download the data
- OnLine resource
-
Protocol Linkage Name https://data-package.ceh.ac.uk/sd/8c5d9e38-0244-4a39-8600-a85513a6fecf.zip Supporting information
- Hierarchy level
- Dataset
- Other
-
dataset
Conformance result
- Title
-
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
- Date (Publication)
- 2010-12-08
- Statement
-
This dataset has been modelled with The Source Apportionment-GIS (SAGIS) using data from the period spanning from 2006 to 2009. Input datasets include: river network outline, water body boundary, hydrology and river monitoring data, rainfall, land use and agricultural data, on-site wastewater treatment system, sewage treatment works, combined sewer overflows and storm tank locations, soil erosion, highway runoff and pollution inventory industrial discharges to river and sewer including extensive sewage treatment works data. Loads are converted to concentrations in river waters using the SIMulation of CATchments (SIMCAT) water quality model, which is incorporated within SAGIS, so that the contribution to in-stream concentrations from individual sources can be quantified. Diffuse sources of nutrient pollution are incorporated into SAGIS from the Phosphorus and Sediment Yield Characterisation In Catchments (PSYCHIC) model (developed by a consortium of academic and government organisations led by ADAS Water Quality). SAGIS models are not time based and do not show seasonal variation; river flow can vary according to seasonal changes which would have an impact on results. The model will also always be a simplified version of reality and so must be used as an advisory tool and not as the sole basis of decisions. Data is often subject to change and so the models require regular updates. Livestock and arable inputs have been calculated from the ADAS models PSYCHIC and NEAPN and have been shown to overestimate inputs in some areas. There is also a related issue, of changing crop types and land use.
Metadata
- File identifier
- 8c5d9e38-0244-4a39-8600-a85513a6fecf XML
- Metadata language
- English
- Character set
- 8859 Part 1
- Hierarchy level
- Dataset
- Hierarchy level name
-
dataset
- Date stamp
- 2026-01-13T12:30:22
- Metadata standard name
- UK GEMINI
- Metadata standard version
-
2.3
- Metadata author
-
Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre Point of contact
)))
