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2021

81 record(s)
 
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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.

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    The BGS Permeability data product shows estimated rates of water movement from the ground surface to the water table. BGS Permeability version 8 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 product 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 data product 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.

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    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

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    These images were acquired using micro computed tomographic imaging of 4 sandstone plugs taken at various depths in the Glasgow UKGEOS borehole GGC01. GG496 (170.07 m), GG497 (168.66 m), GG498 (73.37 m) and GG499 (135.06 m). These samples are further detailed and analysed in the following article: http://dx.doi.org/10.1144/petgeo2020-092.

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    The data release includes initial interpretation from test pumping of boreholes at the UK Geoenergy Observatories (UKGEOS) Glasgow facility. This release from the British Geological Survey (BGS) covers a programme of test pumping carried out in ten boreholes in January and February 2020. It contains contractors reports and data sheets, BGS data sheets of data logger and manual dip data in the pumped borehole and in the observation boreholes. Step tests and five hour constant rate tests were performed in nine of the boreholes and a slug (falling/rising/head) test was performed in one borehole. Further details can be found in the accompanying report http://nora.nerc.ac.uk/id/eprint/530507

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    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

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    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.)

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    Magnetic time-series from the BGS SWIGS differential magnetometer method (DMM) systems. Funded by NERC, grant number: NE/P017231/1 "Space Weather Impact on Ground-based Systems (SWIGS)". These data consist of measurements of the Earth’s natural magnetic field at the remote site (ILDR) and the natural magnetic field plus the field created by GIC at the underline site (ILDU). The database will include .xyz files with the DMM data and one document with metadata. See Hübert et al. (2020) for further details.

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    This spreadsheet contains 21 oxygen isotope measurements for hematite and mixed hematite/goethite samples from the supergene profiles of the Spence and Cerro Colorado porphyry copper deposits in the Central Andes. Columns are also included which contain calculated isotopic values for weathering fluids which were present at the time of iron oxide formation. These data are presented and discussed in the G-cubed paper 'A rusty record of weathering and groundwater movement in the hyperarid Central Andes' (Shaw et al., 2021). Weathering fluid isotopic values are calculated using the published fractionation factors of Clayton & Epstein (1961), Yapp (1990) and Bao & Koch (1999). The authors have the most confidence in the fluid values obtained using the fractionation factor of Yapp (1990), for reasons outlined in the publication.

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    Vesicularity (phi) as a function of time for samples of natural hydrated silicate glass (obsidian) from optical dilatrometric analysis. Also numerical model for analysis of dataset and associated user guide.