Temperature Maps of the British Coalfields
Dataset title | Temperature Maps of the British Coalfields |
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Dataset creators | British Geological Survey Coal Authority |
Dataset theme | Geoscientific Information |
Dataset abstract |
This dataset provides the first map and synthesis of the temperature of Britain's coalfields. It was created to support low-temperature heat recovery, cooling and storage schemes using mine water in abandoned workings. This baseline spatial mapping and synthesis of coalfield temperatures offers significant benefit to those planning, designing and regulating heat recovery and storage in Britain's abandoned coalfields. The data has been developed jointly by the Coal Authority and the British Geological Survey. It is delivered as a hexgrid representing mine water blocks, identifying equilibrium mine temperatures at 10 depth intervals (100m >h; 1000m) and pumped mine temperatures at 6 depth intervals (100m >h; 600m). The methodology is described in full in an open access paper Farr et al (2020) – https://doi.org/10.1144/qjegh2020-109 |
Dataset content dates | before 16/11/2020 |
Dataset spatial coverage | Great Britain |
Dataset supply format | Shapefile Geopackage |
Dataset language | English-United Kingdom |
Dataset discovery metadata record | Discovery Link to the dataset's BGS Discovery Metadata record |
Dataset publisher | NERC EDS National Geoscience Data Centre |
Dataset publication date | 5th March 2022 |
Dataset digital object identifier(DOI) | 10.5285/d4bb3df8-6f62-462c-8aa5-6b9867e2e5ae |
Dataset citation text | British Geological Survey, Coal Authority (2022). Temperature Maps of the British Coalfields. NERC EDS National Geoscience Data Centre. (Dataset). https://doi.org/10.5285/d4bb3df8-6f62-462c-8aa5-6b9867e2e5ae |
Constraints and terms of use | This data set is available under Open Government Licence, subject to the following acknowledgement accompanying any reproduced materials: "Contains data supplied by permission of the Natural Environment Research Council [YEAR]". |
Access the dataset | https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item172374 |
Further information | The methodology is described in full in an open access paper Farr et al (2020) – https://doi.org/10.1144/qjegh2020-109 |