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The BGS Permeability Index dataset shows estimated rates of water movement from the ground surface to the water table. The v8 dataset incorporates the latest geology mapping (BGS Geology 50k). This includes updates to the lithology-coding schema, the LEX_RCS. A 2-part code used to identify the named rock unit from the BGS lexicon of named rock units (LEX) followed by a Rock Classification Scheme (RCS) code which describes the rocks lithological characteristics e.g. texture and composition. Updates to these codes and latest dissolution hazard data sourced from BGS GeoSure: Soluble Rocks have been reviewed and classified as part of the version 8 release. The dataset covers Great Britain and is presented at a scale of 1:50 000, based on the geological data at the same scale. However, in areas where the geology is not mapped to this scale, the next best available scale is used. The BGS Permeability Index can be used to compare the relative permeability of deposits at the regional scale, indicating where highly permeable rocks could allow rapid infiltration to occur, or where less permeable rocks are present and water could pond on the ground surface. The dataset can be used as a component in a wide range of geo-environmental assessments such as natural flood management, Sustainable Drainage Systems, engineering desk studies, slope stability, and aquifer vulnerability. It is for use at the regional scale and is not recommended for use at the site-specific scale.
The property subsidence assessment dataset provides an understanding of the shrink-swell hazard at both the individual property and/or postcode level for England and Wales. It builds upon the BGS GeoSure shrink-swell data by mapping the hazard to the individual building polygon and considering the other susceptibility factors of building type, foundation depth, and drainage and tree proximity. The data consist of GIS building polygons with an overall susceptibility to subsidence score between 1-100. Scores are also classified from non-plastic to very high. Each building polygon is also scored from 1-10 for each subsidence factor (geology, foundation, drainage, building type, building storey and tree proximity). Postcode data is also available as a table showing the ‘average’ PSA score for all buildings within the postcode. The identification of shrink-swell related subsidence prone areas, alongside the inclusion of potential sources to exacerbate these phenomena, can better inform insurers and homeowners and form the basis to make decisions concerning prevention and remediation. The product enhances geological information obtained from GIP (BGS GeoSure Insurance Product) and GeoSure via the inclusion of the crucial shrink-swell susceptibility factors (proximity to trees and foundation depth). This therefore allows the derivation of a risk element for the housing stock at Building level, which is then generalised to Postcode level. BGS GeoSure - a series of GIS digital maps identifying areas of potential natural ground movement hazard in Great Britain
Data set is of drill fluid return, settling tank, and bore hole flush fluids sampled during the development of GGC01 seismic monitoring borehole and GGA07 and GGA08 mine water geothermal wells at the UKGEOS - Glasgow site.
2020 data consists of high frequency (100 Hz) data from two horizontal induction coils measuring the Earth's magnetic field at the Eskdalemuir Observatory in the United Kingdom (Location in Geographic Coordinates: 55.314° N 356.794° E and Elevation: 245m above mean sea level).
The UK Geoenergy Observatories (UKGEOS) Glasgow baseline surface water chemistry dataset1 released from the BGS comprises an excel file with two spreadsheets. The first spreadsheet contains information on the chemical composition of 98 surface water samples (84 samples and 14 field duplicates) collected monthly for 14 months between February 2019 and March 2020 from six sampling locations. These comprised three on the River Clyde at the UKGEOS Glasgow Cuningar Loop borehole cluster and three from control sites (two on the River Clyde and one on the Tollcross Burn). Field measurements of pH, redox potential, specific electrical conductance, temperature, dissolved oxygen and alkalinity and laboratory chemical data for concentrations of 71 inorganic and 10 organic substances in the surface water samples are presented. The dataset contains locational and descriptive information about the samples also. The analyte name, element chemical symbols, analytical method, units of measurement and long-term limits of detection are recorded in header rows at the top of the spreadsheet. The limits of detection/quantification for each monthly batch of samples are documented in rows at the head of each batch. The dataset includes abbreviations documenting quality control issues such as missing values. A guide to abbreviations used in the dataset is provided in the second excel spreadsheet released with the data. Further details about the dataset can be found in the accompanying report http://nora.nerc.ac.uk/id/eprint/529818.
The study in three coal mining regions: Lower Silesia, Upper Silesia and Lublin (each N=500) was conducted using Computer Assisted Web Interview (CAWI). The questionnaire includes the block of questions concerning mine water awareness, climate change and local/place attachment. The survey online took 15 to 20 minutes and was prepared after in-depth pilot research among participants with different education level from the mining regions. We used the uninformed approach to the survey, so there were no additional questions nor requirements for participants prior to the survey. Since the mine water energy extraction is a technical issue that is neither well known nor commonly used in the narratives of Poles, we tested survey questions with pilot cognitive interviews to remove the technical language and reduce the number of replies without understanding. The interviews were conducted with 10 participants in July 2020 and due to the pilot's recommendations and results, we implemented additional changes in the final version of the questionnaire. Specifically, some questions were simplified and the background information on mine water extraction was simplified and shortened The survey CAWI was completed by adult people aged 18-65 (N=1500) between 14-19 August 2020 by Kantar Research Agency. The sample was constructed using KANTAR’s internet panel profiled for the basic demographics, such as gender, age, and the town size. Particular attention paid to the quality of the panel is reflected in its structure. Kantar’s internet panel reflects the profile of the Polish population of Internet users in terms of its participants’ demographic characteristics. The sample from each region was 500 respondents and among the full sample (N=1500) we reached only 192 people who chose to call “mining areas” as best description of the area where they live. Although the three voivodships were chosen due to its mining industry the selected sample covers the region in general in which mining communities are statically not fully represented. We also asked about the subjective perception of the area respondents live in, which we further analysed with spatial distribution. The dataset was created within SECURe project (Subsurface Evaluation of CCS and Unconventional Risks) - https://www.securegeoenergy.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 764531
This dataset presents the amount of different magnesium carbonates under different conditions. Here, using batch reactor experiments and mineralogical characterization, we explored magnesite precipitation kinetics in chemically complex fluids whereby the impact of fluid acidity and alkalinity, NaCl, and MgO nanoparticles was investigated. The dataset was created within SECURe project (Subsurface Evaluation of CCS and Unconventional Risks) - https://www.securegeoenergy.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 764531
The data represent ground motion results obtained from Interferometric Synthetic Aperture Radar (InSAR) for the UKGEOS – Glasgow site. The InSAR techniques used is called Interferometric Point Target Analysis (IPTA) and the BGS processing is based on Sentinel-1 radar satellite data for the period August 2015 - June 2017. The results include time series of displacement (in mm) during this interval and average velocity across the whole period (in mm/yr) along the satellite Line of Sight (Hanssen, 2001). InSAR has provided information on the baseline conditions of ground stability ahead of any underground activity planned in at the Glasgow Geothermal Energy Research Field Site (GGERFS) as described in Bateson and Novellino (2019). References: Bateson, L.; Novellino, A.. 2019 Glasgow Geothermal Energy Research Field Site : ground motion survey report. Nottingham, UK, British Geological Survey, 35pp. (OR/18/054) (Unpublished). Available at http://nora.nerc.ac.uk/id/eprint/524555/ Hanssen, R., 2001. Radar Interferometry: Dordrecht Kluwer Academic Publishers, The Netherlands (2001) (308 pp.)
A brief description of ten core plug samples collected from borehole GGC01 (Glasgow, United Kingdom) is provided, as well as for twelve 15-50 g cuttings samples from 1m intervals within borehole GGA08. Samples were also collected from borehole GGA02 but not used for further analyses. Data comprise results from geomechanical tests, permeability and porosity measurements, and X-Ray Diffraction analyses performed on drillcore samples of sandstones, siltstones, mudstones and coals from eleven depth intervals within the GGC01 borehole. Geomechanical data include triaxial compressional strength, tensile strength, and frictional strength. Frictional strength data was also collected for cuttings samples of sandstones, siltstones, mudstones and coals from the GGA08 borehole. In total twenty-three tensile strength tests were performed on ten sampled intervals, and seven porosity measurements pre-and post-failure were taken. Nine triaxial compressive strength tests and twenty-one frictional strength tests were performed, with permeability measured both before and after failure or shear respectively. From compressive strength tests we also determined the Young’s modulus and Poisson’s ratio. Samples and data are derived from the UK Geoenergy Observatories Programme funded by the UKRI Natural Environment Research Council and delivered by the British Geological Survey.
Apatite Fission Track (AFT) single grain count and horizontal confined track length data acquired from 6 sandstones samples from UKGEOS Glasgow borehole GGC01 drilled in the Dalmarnock area of Glasgow. The sandstones were retrieved from depths of 65, 98, 135, 150, 168 and 198 metres and were Westphalian in age coming from the Middle and Lower Scottish coal measures. Each sample has its BGS Subsample SSK number and an ascribed name in reference to its depth of collection with the added initials of the researcher i.e., 65 AH. The data is presented in 2 files one containing the AFT count data and the other containing the AFT length measurements. The AFT count data of each sample is found in excel file containing the spontaneous and induced track counts of a grain and accessory data of that grain e.g., the calculated age (calculated using the program Isoplotr) and calculated uranium concentration. The AFT length data of each sample comes in a separate excel file with the measured lengths and c-axis corrected lengths of HCTs of a sample, all Dpar measurements are also listed here. Samples and data are derived from the UK Geoenergy Observatories Programme funded by the UKRI Natural Environment Research Council and delivered by the British Geological Survey.