Cite this dataset as
Magee, E., Huxley, D., Tso, C.-H.M. (2023). Random forest model to predict long-term seasonal nitrate and orthophosphate concentrations in British river reaches. NERC EDS Environmental Information Data Centre. (Model). https://doi.org/10.5285/ba208b6c-6f1a-43b1-867d-bc1adaff6445
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This application is available under the terms of the Open Government Licence 
Random forest model to predict long-term seasonal nitrate and orthophosphate concentrations in British river reaches
This resource comprises two Jupyter notebooks that includes the model code in python to train a random forest model to predict long-term seasonal nitrate and orthophosphate concentrations at each river reach in Great Britain. The input features considered are catchment descriptors and land cover matched to the reaches. The training data is obtained from the Environmental Agency Water Quality Archive, 2010-2020. This method provides an effective way to map water quality data from stations to the river network.
A live demo of a web application to visualize the dataset can be viewed at https://moisture-wqmlviewer.datalabs.ceh.ac.uk/wqml_viewer
A live demo of a web application to visualize the dataset can be viewed at https://moisture-wqmlviewer.datalabs.ceh.ac.uk/wqml_viewer
Publication date: 2023-09-05
View record as
These data are held and managed by the Environmental Information Data Centre
For more details and to access the data, go to https://catalogue.ceh.ac.uk/id/ba208b6c-6f1a-43b1-867d-bc1adaff6445
Formats
Jupyter notebooks
Comma-separated values (CSV)
Spatial information
- Study area
-
- Spatial representation type
- Tabular (text)
- Spatial reference system
- OSGB 1936 / British National Grid
Temporal information
- Temporal extent
-
2010-01-01 to 2020-12-31
Provenance & quality
The machine learning model is trained on the following datasets:
* Land cover map
* NRFA Catchment descriptors
* UKCEH digital river network of Great Britain (1:50,000)
* Environmental Agency water quality archive
More information is provided in the supporting documentation accompanying this resource.
Please note that only a subset of the data (HA 72 Wyre and Lune) is provided for demonstration. This is because the underlying river network is separately licensed (https://catalogue.ceh.ac.uk/documents/7d5e42b6-7729-46c8-99e9-f9e4efddde1d).
* Land cover map
* NRFA Catchment descriptors
* UKCEH digital river network of Great Britain (1:50,000)
* Environmental Agency water quality archive
More information is provided in the supporting documentation accompanying this resource.
Please note that only a subset of the data (HA 72 Wyre and Lune) is provided for demonstration. This is because the underlying river network is separately licensed (https://catalogue.ceh.ac.uk/documents/7d5e42b6-7729-46c8-99e9-f9e4efddde1d).
Supplemental information
Correspondence/contact details
Dr. Michael Tso
UK Centre for Ecology & Hydrology
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
Lancashire
LA1 4AP
UNITED KINGDOM
enquiries@ceh.ac.uk
Lancaster
Lancashire
LA1 4AP
UNITED KINGDOM
Authors
Magee, E.
UK Centre for Ecology & Hydrology
Huxley, D.
University of Manchester
https://orcid.org/0000-0002-2415-0826 Other contacts
- Rights holder
-
UK Centre for Ecology & Hydrology
- Custodian
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
- Publisher
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk