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This layer of the map based index (GeoIndex) is a map based index of the National Well Record Archive. This index shows the location of water wells along with basic information such as well name, depth and date of drilling. The index is based on the collection of over 105,000 paper records of water wells, springs and water boreholes. Geological information, construction details, water quality data and hydrogeological data may also be available for some water wells. The amount of detail held on individual sites varies widely and certain fields will have an 'unknown' value where the paper records have yet to be checked for their content. The zero values for the depth represent those for which the depth has yet to be entered into the database from the paper records.
The G-BASE programme involves systematic sampling and the determination of chemical elements in samples of stream sediment, stream water and soil, to build up a picture of the surface chemistry of the UK. The average sample density for stream sediments and water is about one site per 1.5-2km square, and for soils one site per 2km square. Analytical precision is high with strict quality control to ensure countrywide consistency. Results have been standardised to ensure seamless joins between geochemical sampling campaigns. The data provide baseline information on the natural abundances of elements, against which anomalous values due to such factors as mineralisation and industrial contamination may be compared. Analytical data for the 150 microns fraction of soil and stream sediment samples are available for some or all of: Ag, As, B, Ba, Bi, Be, Ca, Ce, Cd, Co, Cr, Cs, Cu, Fe, Ga, K, La, Li, Mg, Mn, Mo, Nb, Ni, P, Pb, Rb, Sb, Se, Sn, Sr, Th, Ti, U, V, Y, Zn, and Zr. Most water samples have been analysed for alkalinity, pH, conductivity, F and U and some for multi-element analyses including Al, Cl, Na, Si, SO4,NO4, and TOC. The project now routinely determines the elements listed in the <2mm fraction of surface soils.
Results of two sampling campaigns conducted in Kwale County Kenya in March and June 2016 by GHS/UPC as part of the Gro for GooD project. Water samples from over 79 groundwater and 6 surface water (SW) locations were analysed for major ions, stable isotopes, selected trace constituents, electrical conductivity, nitrates, ammonia, pH, DO (Dissolved Oxygen), Eh (oxidation / reduction potential), Temperature, TOC (Total Organic Carbon) and field alkalinity. Most locations were sampled in both March (dry season) and June (wet season). Geology at each location recorded as follows: P - Pliocene Sands, Pls - Pleistocene Sands, Plc - Pleistocene corals. Reference: First step to understand the importance of new deep aquifer pumping regime in groundwater system in a developing country, Kwale, Kenya; Ferrer et al, Geophysical Research Abstracts, Vol. 18, EGU2016-16969, 2016; http://meetingorganizer.copernicus.org/EGU2016/EGU2016-16969.pdf; https://upgro.files.wordpress.com/2015/09/egu16_groforgood_v1.pdf UPC - The Departement of Civil Enginyering de la Universitat Politecnica de Catalunya GHS - Grupo de Hidrologia Subterranea
The dataset comprise hydrogeochemical, isotopic and environmental geophysics data from surface waters and groundwater and sediments from scientific boreholes drilled into arsenic-prone aquifers in the Mekong River Basin. The data is divided into 5 categories: Geophysical data Hydrogeochemical data Isotopic data Sedimentary data Outreach and Dissemination Publications to date - open access linkages The data pertain to samples obtained from northern Kandal province just south of Phnom Penh in Cambodia. The data were collected over the period 2013-2016. The hydrogeochemical data were obtained by one of more of (i) in situ analytical techniques; or (ii) instrumental geochemical techniques, notably IC, ICP-AES, ICP-MS and GC-MS in the Manchester Analytical Geochemistry Unit, University of Manchester following methods as described in Richards et al. (2015, 2017). The geophysical data were obtained as described in Uhlemann et al. (2017). The data were obtained as part of a project funded by NERC Standard Research Grant NE/J023833/1 the major purpose of which was to determine the extent to which surface derived organics may be driving arsenic mobilisation in shallow circum-Himalayan aquifers, an exemplar of which is norther Kandal Province's largely Holocene aquifers to which these data refer. The data were obtained and interpreted by the University of Manchester except as follows: environmental geophysics data were obtained and interpreted by Oliver Kuras and Sebastian Uhlemann of the British Geological Survey GTOM team; tritium data were generated by Jurgen Sultenfuss of the University of Bremen; oxygen and hydrogen isotope data by SUERC, East Kilbride and carbon-14 data by the NERC Radiocarbon Laboratory at East Kilbride.
Data from the British Geological Survey's GeoIndex Geochemistry theme are made available for viewing here. GeoIndex is a website that allows users to search for information about BGS data collections covering the UK and other areas world wide. Access is free, the interface is easy to use, and it has been developed to enable users to check coverage of different types of data and find out some background information about the data. More detailed information can be obtained by further enquiry via the web site: www.bgs.ac.uk/geoindex.
Cation, anion and Sr isotope data from Nepalese river water. Suspended sediment concentration, suspended sediment chemistry presented as wt% oxides from Nepalese rivers. Both the waters and sediments were collected following the 2015 earthquakes.
The WellMaster database holds hydrogeological information on water wells for wells and boreholes identified within the Single Onshore Borehole Index (SOBI) within England Wales and Scotland. The database contains index details supplementary to SOBI, including information on the availability of more detailed hydrogeological information. Four main categories of data are held within the database; lithostratigraphic details, well/borehole construction including casing and screens, water information including depths and pumping rates and water quality information.
100,000 paper records of water wells, including details of lithologies, well construction, water levels and yields and water chemistry. Details lodged by drillers under statute. Includes approximately 90% of water boreholes in England & Wales, less in Scotland. There is a high density of information over major aquifers and urban areas with new data added as it is received from drillers and other outside organisations. The level of detail within individual records varies, reflecting historical changes in reporting practices.
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.