4f4c4942-4343-5764-6473-313231373134 English NRW_DS121668 Natural Resources Wales (NRW) Maes-y-Ffynnon, Penrhosgarnedd, Bangor, Gwynedd, LL57 2DW, Wales enquiries@naturalresourceswales.gov.uk http://naturalresources.wales/?lang=en 2026-09-30T14:01:56.834Z NRW 1.0 wel utf8 British National Grid (EPSG::27700) WINS Urban Green Infrastructure: Demand for Urban Greenspace - Risk of Pluvial Flooding WINS Urban Green Infrastructure: Demand for Urban Greenspace - Risk of Pluvial Flooding Seilwaith Gwyrdd Trefol: - Galw am Fannau Gwyrdd Trefol - Perygl o Lifogydd Glawol SCCAN Urban Green Infrastructure: Demand for Urban Greenspace - Risk of Pluvial Flooding 2018-04-01 NRW_DS121714 http://naturalresources.wales/ This dataset was created for the Welsh Information for Nature-based Solutions (WINS) project (previously known as SCCAN) to identify opportunities for land management interventions that enhance ecosystem service delivery across a range of key policy areas. An accompanying User Guide is available to support the use of these datasets, and a full list of source datasets and data limitations can be found in the project technical report. This dataset comprises two maps relating to pluvial flood risk and demand for natural flood management (NFM) interventions. This dataset was created for the Welsh Information for Nature-based Solutions (WINS) project (previously known as SCCAN) to identify opportunities for land management interventions that enhance ecosystem service delivery across a range of key policy areas. An accompanying User Guide is available to support the use of these datasets, and a full list of source datasets and data limitations can be found in the project technical report. This dataset comprises two maps relating to pluvial flooding. The first map shows the risk of standing water accumulation during heavy rainfall and the risk of strong overland flow, using separate colour ramps ranging from green to purple, with purple indicating the highest level of risk. Distinguishing between standing water and overland flow can help target interventions, as areas of overland flow may indicate the source of water contributing to downstream surface water flooding. The second map shows demand for intervention based on population density and the Welsh Index of Multiple Deprivation (WIMD), displayed on a gradient from light to dark brown, with darker areas representing higher demand. A semi-transparent purple overlay highlights areas at the highest risk of pluvial flooding, enabling direct spatial comparison between flood risk and demand. This dataset was created for the Welsh Information for Nature-based Solutions (WINS) project (previously known as SCCAN) to identify opportunities for land management interventions that enhance ecosystem service delivery across a range of key policy areas. An accompanying User Guide is available to support the use of these datasets, and a full list of source datasets and data limitations can be found in the project technical report. This dataset comprises two maps relating to pluvial flood risk and demand for natural flood management (NFM) interventions. This dataset was created for the Welsh Information for Nature-based Solutions (WINS) project (previously known as SCCAN) to identify opportunities for land management interventions that enhance ecosystem service delivery across a range of key policy areas. An accompanying User Guide is available to support the use of these datasets, and a full list of source datasets and data limitations can be found in the project technical report. This dataset comprises two maps relating to pluvial flooding. The first map shows the risk of standing water accumulation during heavy rainfall and the risk of strong overland flow, using separate colour ramps ranging from green to purple, with purple indicating the highest level of risk. Distinguishing between standing water and overland flow can help target interventions, as areas of overland flow may indicate the source of water contributing to downstream surface water flooding. The second map shows demand for intervention based on population density and the Welsh Index of Multiple Deprivation (WIMD), displayed on a gradient from light to dark brown, with darker areas representing higher demand. A semi-transparent purple overlay highlights areas at the highest risk of pluvial flooding, enabling direct spatial comparison between flood risk and demand. Natural Resources Wales (NRW) Maes-y-Ffynnon, Penrhosgarnedd, Bangor, Gwynedd, LL57 2DW, Wales enquiries@naturalresourceswales.gov.uk http://naturalresources.wales/?lang=en Natural Resources Wales (NRW) Maes-y-Ffynnon, Penrhosgarnedd, Bangor, Gwynedd, LL57 2DW, Wales enquiries@naturalresourceswales.gov.uk http://naturalresources.wales/?lang=en Natural Resources Wales (NRW) Maes-y-Ffynnon, Penrhosgarnedd, Bangor, Gwynedd, LL57 2DW, Wales enquiries@naturalresourceswales.gov.uk http://naturalresources.wales/?lang=en Natural Resources Wales (NRW) Maes-y-Ffynnon, Penrhosgarnedd, Bangor, Gwynedd, LL57 2DW, Wales enquiries@naturalresourceswales.gov.uk http://naturalresources.wales/?lang=en Land use GEMET - INSPIRE themes, version 1.0 2008-06-01 geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme Area Statement SoNaRR NRW Thesaurus 2026-08-27 geonetwork.thesaurus.local.theme.converted_nrw-keywords Ecosystem Services (SMNR) Sustainable Management of Natural Resources (SMNR) NRW SMNR Keywords 2024-06-26 geonetwork.thesaurus.local.theme.converted_nrw-smnr-keywords There are no access restrictions on this data. NRW may release, publish or disseminate it freely. no limitations © CNC/NRW All rights Reserved. © Office for National Statistics (ONS). Data may be re-used under the terms of the Open Government Licence providing it is done so, acknowledging both the source and copyright of the owners. It is the recipient's responsibility to ensure the data is fit for the intended purpose. Seilwaith Gwyrdd Trefol: - Galw am Fannau Gwyrdd Trefol - Perygl o Lifogydd Glawol Open Government Licence 10 English planningCadastre society farming biota geoscientificInformation climatologyMeteorologyAtmosphere environment elevation imageryBaseMapsEarthCover inlandWaters SeaVoX Vertical Co-ordinate Coverages 2021-01-06 Wales (WLS) -5.777741 -2.608865 51.240829 53.513067 2017-09-01 2018-04-01 Data gaps and limitations: For urban areas, the distinction between streets and buildings becomes increasingly important. As a result, a resolution finer than the 10 m pixel size used for the strategic-scale mapping undertaken for this project may be desirable. Urban drainage systems have not been considered in this mapping, which may result in the overestimation of standing water risk in some areas. Geographic Information System ESRI Feature Class Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 This dataset has not been assessed for conformance to the referenced INSPIRE regulation. false To create this dataset, a Digital Surface Model (DSM) for Wales was derived from the NextMap Digital Terrain Model (DTM) and OS MasterMap data. Average building and feature heights were assigned to relevant MasterMap features and added to the DTM to produce the DSM. The hydrology of the resulting DSM was analysed using SCIMAP (Durham University, 2016). Although SCIMAP was originally developed to model erosion risk, one of its intermediate outputs, the Network Index (connectivity), can also be used to indicate potential urban pluvial flood risk when applied to a DSM. The Network Index describes the likelihood of a parcel of land transferring material, in this case water, to another location. Areas with particularly high Network Index values were identified as being at greater risk of pluvial flooding. To distinguish between areas susceptible to standing water and those susceptible to overland flow, slope data were used. Areas with slopes of less than 3° were classified as being at risk of standing water accumulation, while areas with steeper slopes were classified as being at risk of overland flow. Demand for intervention was assessed using population density and the Welsh Index of Multiple Deprivation (WIMD). Population density, derived from census data, was classified into five categories using Jenks Natural Breaks. The two highest population density classes were assigned high priority, while the middle class was assigned moderate priority. WIMD data were classified using the categories published on the WIMD website. The two most deprived categories (ranks 1 to 382) were assigned high priority, while the next category (ranks 383 to 573) was assigned moderate priority. This dataset was produced for NRW by Environment Systems Ltd. To create this dataset, a Digital Surface Model (DSM) for Wales was derived from the NextMap Digital Terrain Model (DTM) and OS MasterMap data. Average building and feature heights were assigned to relevant MasterMap features and added to the DTM to produce the DSM. The hydrology of the resulting DSM was analysed using SCIMAP (Durham University, 2016). Although SCIMAP was originally developed to model erosion risk, one of its intermediate outputs, the Network Index (connectivity), can also be used to indicate potential urban pluvial flood risk when applied to a DSM. The Network Index describes the likelihood of a parcel of land transferring material, in this case water, to another location. Areas with particularly high Network Index values were identified as being at greater risk of pluvial flooding. To distinguish between areas susceptible to standing water and those susceptible to overland flow, slope data were used. Areas with slopes of less than 3° were classified as being at risk of standing water accumulation, while areas with steeper slopes were classified as being at risk of overland flow. Demand for intervention was assessed using population density and the Welsh Index of Multiple Deprivation (WIMD). Population density, derived from census data, was classified into five categories using Jenks Natural Breaks. The two highest population density classes were assigned high priority, while the middle class was assigned moderate priority. WIMD data were classified using the categories published on the WIMD website. The two most deprived categories (ranks 1 to 382) were assigned high priority, while the next category (ranks 383 to 573) was assigned moderate priority. This dataset was produced for NRW by Environment Systems Ltd.