Type of resources
Contact for the resource
The dataset consist of daily rainfall data for 22 manual rain gauge stations installed by Gro for GooD project within and about the study area. The installed stations covering four river catchments name Ramisi River, Mukurumudzi River, Mtawa River and Mwachema River in Kwale County. The dataset period is from January 2016 to September 2017. Gro for GooD: Groundwater Risk Management for Growth and Development
The file consists of data sets from Kwale County, Kenya that describe biophysical characteristics of the catchment overlaid as layers. These include Basin, Sub-basins extent, Soil, DEM, Landuse, Slope, Rivers, Outlets and Monitoring Points. The data are in raster, shapefile, polygon, polyline and point format.
The data set contains Soil Data used in the Gro for GooD Project in Kwale, Kenya based on KENSOTER database and soil survey in study area. The KENSOTER dataset, specific for Kenya, was compiled by the Kenya Soil Survey (KSS) and ISRIC and released in 2006 where ISRIC plays a lead role in methodology development and programme implementation (http://www.isric.org/projects/soil-and-terrain-soter-database-programme). The dataset includes over 600 soil components, including synthetic profiles, which have been derived from soil survey reports and expert knowledge. The second version of the dataset which has been made available includes additional soil profile database and is also used for the assessment of soil carbon stocks. The gaps in the measured soil profile data have been filled using a step-wise procedure which includes three main stages: (1) collate additional measured soil analytical data where available; (2) fill gaps using expert knowledge and common sense; (3) fill the remaining gaps using a scheme of taxotransfer rules. Parameter estimates are presented by soil unit for fixed depth intervals of 0.2 m to 1 m depth for: organic carbon, total nitrogen, pH(H2O), CECsoil, CECclay, base saturation, effective CEC, aluminium saturation, CaCO3 content, gypsum content, exchangeable sodium percentage (ESP), electrical conductivity of saturated paste (ECe), bulk density, content of sand, silt and clay, content of coarse fragments, and available water capacity. The data have recently been used for the Green Water Credit (GWC) programme in the Upper Tana River Valley. This dataset was prepared for the Gro for GooD project by Mike Thomas, Rural Focus Ltd., Kenya; John Gathenya, JKUAT, Kenya. Gro for GooD: Groundwater Risk Management for Growth and Development
The Environment Agency has updated its groundwater vulnerability map to reflect improvements in data mapping, modelling capability and understanding of the factors affecting vulnerability. Two new maps are available which show the vulnerability of groundwater to a pollutant discharged at ground level. The potential impact of groundwater pollution is considered using the aquifer designation status which provides an indication of the scale and importance of groundwater for potable water supply and/or in supporting baseflow to rivers, lakes and wetlands. This dataset has shared IP (Intellectual Property) between Environment Agency and British Geological Survey. It supersedes the previous Groundwater Vulnerability 100k data released by EA.
The Environment Agency and Natural Resources Wales have updated its groundwater vulnerability map to reflect improvements in data mapping, modelling capability and understanding of the factors affecting vulnerability. Two new maps are available which show the vulnerability of groundwater to a pollutant discharged at ground level. The potential impact of groundwater pollution is considered using the aquifer designation status which provides an indication of the scale and importance of groundwater for potable water supply and/or in supporting baseflow to rivers, lakes and wetlands. This dataset for Wales has shared intellectual property (IP) between Natural Resources Wales and British Geological Survey.
The Lexicon of Named Rock Units provides definitions of lithostratigraphic, lithodemic, and litho-morpho-genetic geological units of the United Kingdom and its associated continental shelf. The Lexicon focuses mainly on units of Member, Formation, Group and higher rank (and equivalents) but it also includes information on some units of lesser rank, notably economically important coal seams and laterally extensive marine bands. It includes superficial and bedrock units. It includes synonyms and other names not currently recognised by the BGS or regarded as obsolete. Full Lexicon entries include geological unit name, a persistent unique identifier, map code, currency, rank, parent unit and rank, age, lithology, definitions of boundaries, thickness, previous and alternative names, geographical extent, type localities, and bibliographical references. This dataset is a snapshot of the live database taken on the 14th September 2017.
The Debris Flow Susceptibility Model for Great Britain version 6.0 (DFSM_GB_v6.0) provides information on the likelihood of debris flows occurring at a given location based on a combination of digital geological, hydrogeological and topographic data. It is a raster dataset at 50m resolution, showing susceptibility for debris flows on a scale A (lowest likelihood) to E (highest likelihood). The methodology develops an additional dimension to the BGS GeoSure Landslides surface layer (Dashwood et al., 2014) and is designed for users interested specifically in debris flow susceptibility. The identification of debris flow hazards can assist regional planners; rapidly identifying areas with potential problems and aid local government offices in making development plans by helping to define land suited to different uses. Other users of these data may include developers, homeowners, asset owners, solicitors, loss adjusters, the insurance industry, architects and surveyors. The DFSM (Debris Flow Susceptibility Model) GB v6.0 was completed in March 2017.
The 5km Hex GS Collapsible Deposits dataset shows a generalised view of the GeoSure Collapsible Deposits v7 dataset to a hexagonal grid resolution of 64.95km coverage area (side length of 5km). This dataset indicates areas of potential ground movement in a helpful and user-friendly format. The rating is based on a highest level of susceptibility identified within that Hex area: Low (1), Moderate (2), Significant (3). Areas of localised significant rating are also indicated. The summarising process via spatial statistics at this scale may lead to under or over estimation of the extent of a hazard. The supporting GeoSure reports can help inform planning decisions and indicate causes of subsidence. The reports can help inform planning decisions and indicate causes of subsidence. The Collapsible Ground dataset provides an assessment of the potential for a geological deposit to collapse (to subside rapidly) as a consequence of a metastable microfabric in loessic material. Such metastable material is prone to collapse when it is loaded (as by construction of a building, for example) and then saturated by water (as by rising groundwater, for example). Collapse may cause damage to overlying property. The methodology is based on the BGS Digital Map (DiGMapGB-50) and expert knowledge of the origin and behaviour of the formations so defined. It provides complete coverage of Great Britain, subject to revision in line with changes in DiGMapGB lithology codes and methodological improvements.
**This dataset has been superseded. The latest version is newGeoSure Insurance Product version 8 2020.1** The newGeoSure Insurance Product (newGIP) provides the potential insurance risk due to natural ground movement at a postcode level. It incorporates the combined effects of the 6 GeoSure hazards on (low-rise) buildings: landslides, shrink-swell clays, soluble rocks, running sands, compressible ground, and collapsible deposits. The newGeoSure Insurance Product evaluates these hazards using a series of processes including statistical analyses and expert elicitation techniques to create a derived product that can be used for insurance purposes such as identifying and estimating risk and susceptibility. The newGeoSure Insurance Product is updated biannually with new releases of Ordnance Survey Code-Point® data (current version used: 2017.1) and is provided for national coverage across Great Britain (not including the Isle of Man). This product is available in a range of GIS formats including Access (*.dbf), ArcGIS (*.shp), or MapInfo (*.tab). The newGeoSure Insurance Product is produced for use at 1:50 000 scale, providing 50 m ground resolution.
The 1km Hex Mining Hazard (Not Including Coal) v7 dataset shows areas of known underground mining (Not Including Coal), identified with an indication of the level of hazard associated for each site. The presence of former underground workings, particularly where shallow, may collapse and cause surface settlement which is used to identify potential hazard at each site. The rating is based on a Low (limited mining known to have occurred) to High (underground mining is known to have occurred) scale. The dataset covers areas of known underground working in Great Britain. The coverage is not comprehensive as areas with no evidence of underground working are unclassified. Underground extraction of minerals and rocks has taken place in Great Britain for more than 5000 years. This dataset draws together a range of diverse information; the geology, the primary constraint on distribution; additional information sourced from published literature and knowledge from BGS experts. Derived from the original MiningHazardNotIncludingCoalGB_v7 dataset, this layer generalises these data into a Hex grid format, with an effective hexagonal grid resolution of 2.6km coverage area (side length of 1km). The dataset was created to provide a comprehensive overview of Great Britain's long and complicated mining legacy. It provides essential information for planners and developers working in areas where former underground mine workings may have occurred. Also for anyone involved in the ownership or management of property, including developers, householders and local government.