{"numFound":34,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CNational&facet=impScale%7CRiver+reach&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CRegional&facet=impWaterPollutant%7CSediment&facet=impWaterPollutant%7CNitrogen","nextPage":"http://catalogue.ceh.ac.uk/cmp/documents?page=2&facet=impScale%7CNational&facet=impScale%7CRiver+reach&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CRegional&facet=impWaterPollutant%7CSediment&facet=impWaterPollutant%7CNitrogen","results":[{"catalogue":"cmp","description":"LUCI explores the capability of a landscape to provide a variety of ecosystem services, such as agricultural production, flood and diffuse pollutant mitigation, carbon sequestration, habitat provision etc. The model is a second generation extension and accompanying software implementation of the Polyscape framework. \nThe model was developed through work at Pontbren, exploring impacts of land-use on flooding. Landcover types providing mitigation from flash-flood risk and diffuse pollution through enhanced infiltration (e.g. woodlands and wetlands); these are mapped as providing a service. LUCI then simulates flow and nutrient accumulation over the landscape, with areas routing through these mitigating features mapped as “mitigated” i.e. not hydrologically connected to the stream. Hydrologically connected areas of the landscape with large accumulations of water or pollutants are mapped as having potential to benefit from changes inland cover or management which could provide mitigating services. Hydrological routing is also used to map annual flow and average loading and concentration of N and P at each point on the river network. For agricultural production and carbon, LUCI compares the services provided by the current utilisation of the landscape to estimates of its potential capability. For each service, the model then processes this data to identify areas where change might improve service provision, and where current service provision is good or lacks potential to improve. Trade-offs between outputs for the individual ecosystem services are modelled and mapped, with an option for the user to preferentially weight services of higher importance.\n","documentType":"IMP_DOCUMENT","identifier":"adead10b-a6a0-45fa-b350-acd16b23c3fe","impCaMMPIssues":["Transferability","Other Services","Management outcome","Confidence levels"],"impDataType":["Geospatial / Map"],"impScale":["Regional","Plot","National","Field","Farm","Catchment","catchment"],"impTopic":["Water quality","Soil","River flow and networks","Land use","Land cover","Greenhouse gas fluxes","Climate scenarios","Catchments and topography","Biodiversity"],"impWaterPollutant":["Sediment","Phosphorus","Nitrogen"],"incomingCitationCount":0,"keyword":["Water quality","Transferability","Soil","Sediment","River flow and networks","Regional","Plot","Phosphorus","Other Services","Nitrogen","National","Management outcome","Land use","Land cover","Greenhouse gas fluxes","Geospatial / Map","Field","Farm","Confidence levels","Climate scenarios","Catchments and topography","Catchment","Biodiversity"],"recordType":"Model (UKCEH)","resourceType":"Model (UKCEH)","state":"published","title":"LUCI  (Land Utilisation & Capability Indicator)","version":1.0,"view":["public"],"shortenedDescription":"LUCI explores the capability of a landscape to provide a variety of ecosystem services, such as agricultural production, flood and diffuse pollutant mitigation, carbon sequestration, habitat provision etc. The model is a second generation extension and accompanying..."},{"catalogue":"cmp","description":"SAGIS was developed for UKWIR, with support from the Environment Agency, SEPA and Natural England, to analyse sources of chemicals at the river basin scale and identify measures to improve river, lake and estuary water quality. National data on the source of chemicals from a range of point and diffuse sectors are processed to create inputs to the water quality model SIMCAT, and the outputs used to create databases and visualisations of predicted apportioned water quality.","documentType":"IMP_DOCUMENT","identifier":"57c40da0-2dc7-43a1-8291-f9ae2fd0a18d","impCaMMPIssues":["Transferability","Pollution Source","Confidence levels"],"impScale":["River reach","Regional","National","Catchment","national"],"impTopic":["Water quality","Non-agricultural pollution","Land use"],"impWaterPollutant":["Sediment","Phosphorus","Nitrogen"],"incomingCitationCount":0,"keyword":["Water quality","Transferability","Sediment","River reach","Regional","Pollution Source","Phosphorus","Non-agricultural pollution","Nitrogen","National","Land use","Confidence levels","Catchment"],"recordType":"Model (UKCEH)","resourceType":"Model (UKCEH)","state":"published","title":"SAGIS (Source Apportionment GIS)","version":1.0,"view":["public"],"shortenedDescription":"SAGIS was developed for UKWIR, with support from the Environment Agency, SEPA and Natural England, to analyse sources of chemicals at the river basin scale and identify measures to improve river, lake and estuary water quality. National data on the source of chemicals..."},{"publicationDate":"2015-11-05T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","University of Birmingham"],"authorGivenName":["D.","P.","R.","E.","I.","J.","C.I.","N."],"authorFamilyName":["Leach","Henville","Wyatt","Hewitt","Morrissey","Weller","Tindall","Bachiller-Jareno"],"authorFullName":["Leach, D.","Henville, P.","Wyatt, R.","Hewitt, E.","Morrissey, I.","Weller, J.","Tindall, C.I.","Bachiller-Jareno, N."],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03angcq70"],"catalogue":"cmp","description":"River water alkalinity, chloride-ion, conductivity, pH and nutrients data from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2003 and 2006. River water samples were collected fortnightly at twenty three sites within these catchments and analysed for Alkalinity pH 4.5, Ammonia, Chloride-ion, Conductivity 20 deg C, Nitrate, pH, Phosphorus soluble reactive (SRP), Silicate reactive dissolved (SRD) and Sulphate. The samples were collected as part of the NERC funded Lowland Catchment Research (LOCAR) Programme to provide comparable baseline river water chemistry data across the LOCAR catchments.","documentType":"LINK_DOCUMENT","identifier":"67ea3b6f-7b59-4230-ae3e-f7ed5ced21db","impDataType":["Tabular","Time Series"],"impScale":["Catchment"],"impTopic":["Water Quality"],"impWaterPollutant":["Nitrogen","Phosphorus"],"incomingCitationCount":0,"givenName":["D.","P.","R.","E.","I.","J.","C.I.","N."],"familyName":["Leach","Henville","Wyatt","Hewitt","Morrissey","Weller","Tindall","Bachiller-Jareno"],"fullName":["Leach, D.","Henville, P.","Wyatt, R.","Hewitt, E.","Morrissey, I.","Weller, J.","Tindall, C.I.","Bachiller-Jareno, N."],"keyword":["Tabular","Time Series","Catchment","Water Quality","Nitrogen","Phosphorus","Lowland Catchment Research Programme (LOCAR) ","The Lowland Catchment Research Programme","LOCAR","pH","ammonia","alkalinity","river water","chloride","conductivity","nutrient","nitrate","phosphorus","sulphate","silicate"],"keywordsProject":["Lowland Catchment Research Programme (LOCAR) "],"keywordsTheme":["The Lowland Catchment Research Programme","LOCAR"],"keywordsOther":["pH","ammonia","alkalinity","river water","chloride","conductivity","nutrient","nitrate","phosphorus","sulphate","silicate"],"licence":"Open government licence","lineage":"A single sample from the main flow of the river was collected by the Catchment Service Team in that catchment and used to fill a number of bottles supplied by Thames Water Laboratory. Samples for pH and alkalinity readings were poured in a glass bottle. Samples for Phosphorus soluble reactive were filtered in the field. Unfiltered samples were used for the rest of determinands. Samples were then sent to Thames Water for analysis. They used the Seal discrete analyser to determine values for Alkalinity pH 4.5, Ammonia, Chloride-ion, Nitrate, Phosphorus soluble reactive (SRP), Silicate reactive dissolved (SRD) and Sulphate. pH and Conductivity probes were used for those two determinands. A duplicate and a QC sample were sent each week to Thames Water to compare results obtained by the laboratories. The data were quality controlled by Thames Water. A zip file containing box-and-whisker plots for each determinand, showing the range of values (median, inter-quartile range, 1.5 * inter-quartile range, outliers) recorded at each site is available to enable prospective users of the data to understand data quality.","locations":["POLYGON((-3 50.5, -3 53.2, -0.8 53.2, -0.8 50.5, -3 50.5))"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","University of Birmingham","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1426780549603","https://catalogue.ceh.ac.uk/id/bb600a56-c9cf-4fca-b9be-be3de0039a79","10.5285/bb600a56-c9cf-4fca-b9be-be3de0039a79"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"state":"published","title":"Field measurements of alkalinity, chloride-ion, conductivity, pH and nutrients in rivers (2003-2006) [LOCAR]","version":1.0,"view":["public","nuri"],"shortenedDescription":"River water alkalinity, chloride-ion, conductivity, pH and nutrients data from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2003 and 2006. River water samples were collected fortnightly at twenty three sites within these catchments and analysed..."},{"catalogue":"cmp","description":"Despite the uncertainty in future climate and land use, large-scale measures put in place today to improve water quality are likely to remain effective in the future in northeast Scotland. Dynamic models can provide useful indications of the likely lag time between the implementation of measures and improvements in water quality.","documentType":"IMP_DOCUMENT","identifier":"7f45279b-5818-4667-8a6e-3439f26c6e44","impCaMMPIssues":["Transferability","Pollution Source","Management outcome","Climate Change"],"impDataType":["Time series"],"impScale":["River reach","Catchment"],"impTopic":["Water quality","Non-agricultural pollution","Climate scenarios"],"impWaterPollutant":["Sediment","Phosphorus","Nitrogen"],"incomingCitationCount":0,"keyword":["Water quality","Transferability","Time series","Sediment","River reach","Pollution Source","Phosphorus","Non-agricultural pollution","Nitrogen","Management outcome","Climate scenarios","Climate Change","Catchment"],"recordType":"Case Study","resourceType":"Case Study","state":"published","title":"Case Study 4: Effectiveness of pollution control measures under scenarios of future climate and land cover change at the catchment scale.  ","version":1.0,"view":["public","jaccos"],"shortenedDescription":"Despite the uncertainty in future climate and land use, large-scale measures put in place today to improve water quality are likely to remain effective in the future in northeast Scotland. Dynamic models can provide useful indications of the likely lag time between..."},{"catalogue":"cmp","description":"National scale nutrient and sediment source apportionment screening tool for England and Wales developed originally as part of Defra project WQ0223 (Developing a field toolkit for ecological targeting of agricultural diffuse pollution mitigation measures). SEPARATE provides apportionment of annual loads of nitrogen, phosphorus and fine-grained sediment, from both diffuse (agriculture, urban, river channel banks, atmospheric deposition, groundwater) and point (sewage treatment works, septic tanks, combined sewer overflows, storm tanks) sources to rivers at Water Framework Directive waterbody scale. The data cover individual and accumulated waterbodies.\n","documentType":"IMP_DOCUMENT","identifier":"427bf467-002a-477f-a227-8dd4950d0b47","impCaMMPIssues":["Transferability","Pollution Source","Confidence levels"],"impDataType":["Tabular"],"impScale":["Regional","National","Catchment","national"],"impTopic":["Water quality","Non-agricultural pollution","Land use"],"impWaterPollutant":["Sediment","Phosphorus","Nitrogen"],"incomingCitationCount":0,"keyword":["Water quality","Transferability","Tabular","Sediment","Regional","Pollution Source","Phosphorus","Non-agricultural pollution","Nitrogen","National","Land use","Confidence levels","Catchment"],"recordType":"Model (UKCEH)","resourceType":"Model (UKCEH)","state":"published","title":"SEPARATE (SEctor Pollutant AppoRtionment for the AquaTic Environment)","version":1.0,"view":["public","jaccos"],"shortenedDescription":"National scale nutrient and sediment source apportionment screening tool for England and Wales developed originally as part of Defra project WQ0223 (Developing a field toolkit for ecological targeting of agricultural diffuse pollution mitigation measures). SEPARATE..."},{"catalogue":"cmp","description":"SWAT is the product of over 40 years of research and is subject to ongoing development. The model is designed to simulate the effects of changes in land management practices, land use and climate on surface water and groundwater quality and quantity, sediments, nutrients, and pesticide yields within catchments.","documentType":"IMP_DOCUMENT","identifier":"9bc5ab5c-bacf-426f-b49e-c6013e815a85","impCaMMPIssues":["Transferability","Management outcome","Confidence levels","Climate Change"],"impScale":["River reach","Farm","Catchment","catchment"],"impTopic":["Water quality","Soil","River flow and networks","Non-agricultural pollution","Climate scenarios"],"impWaterPollutant":["Sediment","Nitrogen","Metaldehyde"],"incomingCitationCount":0,"keyword":["Water quality","Transferability","Soil","Sediment","River reach","River flow and networks","Non-agricultural pollution","Nitrogen","Metaldehyde","Management outcome","Farm","Confidence levels","Climate scenarios","Climate Change","Catchment"],"recordType":"Model (UKCEH)","resourceType":"Model (UKCEH)","state":"published","title":"SWAT  (Soil and Water Assessment Tool)","version":1.0,"view":["public","jaccos"],"shortenedDescription":"SWAT is the product of over 40 years of research and is subject to ongoing development. The model is designed to simulate the effects of changes in land management practices, land use and climate on surface water and groundwater quality and quantity, sediments, nutrients,..."},{"publicationDate":"2015-02-17T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Environment Agency","University of Reading"],"authorGivenName":["M.J.","E.","J.","M.","S.","R.A.","H.P.","A."],"authorFamilyName":["Bowes","Gozzard","Newman","Loewenthal","Halliday","Skeffington","Jarvie","Wade","Palmer-Felgate"],"authorFullName":["Bowes, M.J.","Gozzard, E.","Newman, J.","Loewenthal, M.","Halliday, S.","Skeffington, R.A.","Jarvie, H.P.","Wade, A.","Palmer-Felgate, E."],"authorOrcid":["https://orcid.org/0000-0002-4984-1607"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05v62cm79"],"catalogue":"cmp","description":"This data set comprises of hourly physical and nutrient monitoring data of the River Enborne near Brimpton (National grid reference SU568648), from November 2009 to February 2012. Parameters measured are total reactive phosphorus, nitrate, conductivity, temperature, dissolved oxygen, pH and total chlorophyll. The accompanying hourly averaged flow data (from the EA flow gauging station at the same site) are also supplied. The monitoring programme was funded by the EPSRC, through the LIMPIDS project. ","documentType":"LINK_DOCUMENT","identifier":"37b4c75a-bb5b-467d-9919-7ecdc5cc025a","impDataType":["Time Series"],"impScale":["Catchment"],"impWaterPollutant":["Nitrogen","Phosphorus"],"incomingCitationCount":2,"givenName":["Mike","M.J.","E.","J.","M.","S.","R.A.","H.P.","A."],"familyName":["Bowes","Gozzard","Newman","Loewenthal","Halliday","Skeffington","Jarvie","Wade","Palmer-Felgate"],"fullName":["Bowes, M.","Bowes, M.J.","Gozzard, E.","Newman, J.","Loewenthal, M.","Halliday, S.","Skeffington, R.A.","Jarvie, H.P.","Wade, A.","Palmer-Felgate, E."],"keyword":["Time Series","Catchment","Nitrogen","Phosphorus","United Kingdom","England","Berkshire","Hourly"],"keywordsPlace":["United Kingdom","England","Berkshire"],"keywordsOther":["Hourly"],"licence":"Non-Open government licence","lineage":"The hourly nutrient data was produced by the Centre for Ecology & Hydrology (CEH) fieldwork staff at Wallingford. Phosphorus data was produced in the field using a Systea Micromac C auto-analyser. Nitrate was monitored by UV absorption using a Hach Lange Nitratax Plus probe. The other physical parameters and total chlorophyll were monitored using a YSI 6600 sonde. The monitoring site installation, telemetry / data collection and maintenance / calibration of the YSI probe was conducted by the Environment Agency's National Water Quality Instrumentation Service. Data processing was carried out by CEH and the University of Reading. Full details of the field procedures and laboratory groundtruthing samples are outlined in the following papers. \n\n(1) Bowes MJ, Jarvie HP, Halliday SJ, Skeffington RA, Wade AJ, Loewenthal M et al (2015). Characterising phosphorus and nitrate inputs to a rural river using high-frequency concentration-flow relationships. Sci Total Environ 511: 608-620\n(2) Halliday S, Skeffington R, Bowes M, Gozzard E, Newman J, Loewenthal M et al (2014). The Water Quality of the River Enborne, UK: Observations from High-Frequency Monitoring in a Rural, Lowland River System. Water 6: 150-180.\n(3) Wade AJ, Palmer-Felgate EJ, Halliday SJ, Skeffington RA, Loewenthal M, Jarvie HP et al (2012). Hydrochemical processes in lowland rivers: insights from in situ, high-resolution monitoring. Hydrol Earth Syst Sci 16: 4323-4342.","locations":["POLYGON((-1.186 51.378, -1.186 51.38, -1.184 51.38, -1.184 51.378, -1.186 51.378))"],"orcid":["https://orcid.org/0000-0002-4984-1607"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Environment Agency","University of Reading","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1431339142556","https://catalogue.ceh.ac.uk/id/11d712e0-7456-4ea9-8af8-fe81a666e91b","10.5285/11d712e0-7456-4ea9-8af8-fe81a666e91b"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Bowes M.J., Jarvie H.P., Halliday S.J., Skeffington R.A., Wade A.J., Loewenthal M. et al. (2015). Characterising phosphorus and nitrate inputs to a rural river using high-frequency concentration-flow relationships. Sci Total Environ 511: 608-620","Halliday, S., Skeffington, R., Bowes, M., Gozzard, E., Newman, J., Loewenthal, M., … Wade, A. (2014). The Water Quality of the River Enborne, UK: Observations from High-Frequency Monitoring in a Rural, Lowland River System. Water, 6(1), 150–180","Wade A.J., Palmer-Felgate E.J., Halliday SJ, Skeffington R.A., Loewenthal M., Jarvie H.P. et al. (2012). Hydrochemical processes in lowland rivers: insights from in situ, high-resolution monitoring. Hydrol Earth Syst Sci 16: 4323-4342. "],"title":"Hourly physical and nutrient monitoring data for the River Enborne, Berkshire (2009-2012)","version":1.0,"view":["public","nuri"],"shortenedDescription":"This data set comprises of hourly physical and nutrient monitoring data of the River Enborne near Brimpton (National grid reference SU568648), from November 2009 to February 2012. Parameters measured are total reactive phosphorus, nitrate, conductivity, temperature,..."},{"catalogue":"cmp","description":"INCA-P operates at a daily time step, tracking the stores and fluxes of water, sediment, dissolved and particulate P in both the land and in-stream phases of a river catchment. The model is spatially ‘semi-distributed’: the water course is split into reaches with associated sub-catchments. Two spatial set-ups are possible – the traditional set-up, in which there is a single main stem, or a ‘branched’ set-up. The latter allows in-stream processes, effluent inputs and residence times in tributaries to be simulated, and can be particularly useful in larger catchments or complex river networks. Each sub-catchment is split into landscape classes – there can be as many of these as desired or warranted by the data resolution or needs of the study. Landscape classes are “functional units” and within each unit P inputs, plant P uptake, soils and flow pathways should be similar, though for convenience classes are often based on land use and/or soil type. All land-based processes are calculated for a generic 1 km2 cell for each landscape class within each sub-catchment. Water, sediment, total dissolved P (TDP) and particulate P (PP) outputs from the 1 km2 cell for each land class are multiplied by the land class area, and summed to provide total inputs from the sub-catchment to the reach. These inputs are assumed to enter the stream reach directly, rather than being routed spatially from one land class to another. Reach inputs are therefore from the land phase and from any upstream reaches.","documentType":"IMP_DOCUMENT","identifier":"dc139812-d332-44fb-8fc4-f9943652d1ef","impCaMMPIssues":["Transferability","Pollution Source","Management outcome","Confidence levels","Climate Change"],"impDataType":["Time series"],"impScale":["River reach","Catchment","catchment"],"impTopic":["Water quality","River flow and networks","Non-agricultural pollution","Land use","Climate scenarios","Catchments and topography"],"impWaterPollutant":["Sediment","Phosphorus"],"incomingCitationCount":0,"keyword":["Water quality","Transferability","Time series","Sediment","River reach","River flow and networks","Pollution Source","Phosphorus","Non-agricultural pollution","Management outcome","Land use","Confidence levels","Climate scenarios","Climate Change","Catchments and topography","Catchment"],"recordType":"Model (UKCEH)","resourceType":"Model (UKCEH)","state":"published","title":"INCA-P  (Integrated Catchments Model - Phosphorus dynamics)","version":1.0,"view":["public","jaccos"],"shortenedDescription":"INCA-P operates at a daily time step, tracking the stores and fluxes of water, sediment, dissolved and particulate P in both the land and in-stream phases of a river catchment. The model is spatially ‘semi-distributed’: the water course is split into reaches with associated..."},{"catalogue":"cmp","description":"The Historic UK Water Quality Sampling Harmonised Monitoring Scheme (HMS) detail dataset contains individual determinand results for all sites in the UK Harmonised Monitoring Scheme network from 1974 onwards. The sampling network includes 230 sites which are mainly located at the tidal limits of major rivers or at the points of confluence of significant tributaries. The information held within the HMS includes data on: oxygen and ammonia, nutrients, list II metals and pesticides. \nThe Harmonised Monitoring Scheme (HMS) was established to provide an archive of water quality data for the UK. It is used to provide information for international obligations, including the long-term trends of some determinands and the estimation of riverborne input of selected determinands to the sea.\n","documentType":"GEMINI_DOCUMENT","identifier":"c68f62e2-e6dc-4df3-bde2-5466bdba013a","impDataType":["Tabular","Time Series"],"impScale":["National","River Reach"],"impTopic":["Non-agricultural Pollution","Water Quality"],"impWaterPollutant":["Nitrogen","Phosphorus"],"incomingCitationCount":0,"keyword":["Tabular","Time Series","National","River Reach","Non-agricultural Pollution","Water Quality","Nitrogen","Phosphorus"],"licence":"Non-Open government licence","lineage":"Chemical and Physico-chemical data is collected via site-specific surveys","locations":["POLYGON((-6.236 49.943, -6.236 55.816, 2.072 55.816, 2.072 49.943, -6.236 49.943))"],"organisation":["Environment Agency"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c68f62e2-e6dc-4df3-bde2-5466bdba013a"],"resourceStatus":"Unknown","resourceType":"Dataset","state":"published","title":"EA Historic UK Water Quality Sampling Harmonised Monitoring Scheme Detailed Data","version":1.0,"view":["public","nuri","mfry"],"shortenedDescription":"The Historic UK Water Quality Sampling Harmonised Monitoring Scheme (HMS) detail dataset contains individual determinand results for all sites in the UK Harmonised Monitoring Scheme network from 1974 onwards. The sampling network includes 230 sites which are mainly..."},{"catalogue":"cmp","description":"This case study examines potential trade-offs and co-benefits for a suite of ecosystem services at the farm to catchment scale that may be potential ‘by-products’ of an agri-environment scheme designed to reduce total multi-pollutant loads entering watercourses.","documentType":"IMP_DOCUMENT","identifier":"8216c008-577c-4e06-810a-1a7a480cc179","impCaMMPIssues":["Other Services","Management outcome","Confidence levels","Pollution Source"],"impDataType":["Time series","Tabular","Geospatial / Map"],"impScale":["River reach","National","Catchment"],"impTopic":["Water Quality","Soil","Greenhouse gas fluxes","Biodiversity","Non-agricultural pollution"],"impWaterPollutant":["Sediment","Phosphorus","Nitrogen","Faecal Indicator Organisms"],"incomingCitationCount":0,"keyword":["Water Quality","Time series","Tabular","Soil","Sediment","River reach","Phosphorus","Other Services","Nitrogen","National","Management outcome","Greenhouse gas fluxes","Confidence levels","Catchment","Biodiversity","Pollution Source","Non-agricultural pollution","Geospatial / Map","Faecal Indicator Organisms"],"recordType":"Case Study","resourceType":"Case Study","state":"published","title":"Case Study 1: Multiple pollutant and ecosystem services responses to land management policies and agri-environment interventions at the farm to catchment scale.","version":1.0,"view":["public","jaccos"],"shortenedDescription":"This case study examines potential trade-offs and co-benefits for a suite of ecosystem services at the farm to catchment scale that may be potential ‘by-products’ of an agri-environment scheme designed to reduce total multi-pollutant loads entering watercourses."},{"catalogue":"cmp","description":"This case study examines the sensitivity / uncertainty in outputs of models at various scales resulting from differences or uncertainties in models and input driving data. Three cases will be considered: A) uncertainties arising from the model structure being used; B) uncertainties arising from the data being used; and C) uncertainties arising from drivers used in future scenarios.","documentType":"IMP_DOCUMENT","identifier":"bba51e3c-9808-4dbb-951a-30a127b8a4b3","impCaMMPIssues":["Confidence levels","Climate Change"],"impScale":["River reach","Catchment"],"impTopic":["Water quality","Soil","Climate scenarios","Biodiversity"],"impWaterPollutant":["Phosphorus","Nitrogen","Faecal Indicator Organisms"],"incomingCitationCount":0,"keyword":["Water quality","Soil","River reach","Phosphorus","Nitrogen","Faecal Indicator Organisms","Confidence levels","Climate scenarios","Climate Change","Catchment","Biodiversity"],"recordType":"Case Study","resourceType":"Case Study","state":"published","title":"Case Study 6: Effects of input data quality and quantity on evaluation of land management policies and agri-environment interventions at catchment to national scales.","version":1.0,"view":["public","jaccos"],"shortenedDescription":"This case study examines the sensitivity / uncertainty in outputs of models at various scales resulting from differences or uncertainties in models and input driving data. Three cases will be considered: A) uncertainties arising from the model structure being used;..."},{"publicationDate":"2014-05-09T00:00:00.000+00:00","catalogue":"cmp","description":"Dataset of 1076 sediment monitoring sites in Scotland measured by SEPA for a variety of purposes. The dataset consists of site locations in British National Grid or Lat/Long WGS84, describing aspects of each site and the monitoring activity including medium (river, marine and estuarine); purpose of the monitoring (Water Framework Directive [1], Controlled Activities Regulations [1] and Clean Seas Environmental Monitoring Programme); analytic function (including organic chemistry, inorganic chemistry, metals chemistry, marine biology and invertebrates), and approximate annual frequency of the monitoring.\n\n[1] \"What Water regulations apply in Scotland?\" SEPA. http://www.sepa.org.uk/regulations/water/. Checked 04/10-2016\n\n\n","documentType":"GEMINI_DOCUMENT","identifier":"fc49aa01-16b9-44da-8d14-92be06a93c66","impDataType":["Geospatial / Map"],"impScale":["National"],"impTopic":["Site Specific Data","Water Quality","Water Use"],"impWaterPollutant":["Sediment"],"incomingCitationCount":0,"keyword":["Geospatial / Map","National","Site Specific Data","Water Quality","Water Use","Sediment"],"licence":"Non-Open government licence","lineage":"Unknown","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"organisation":["Scottish Environment Protection Agency"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fc49aa01-16b9-44da-8d14-92be06a93c66"],"resourceStatus":"Unknown","resourceType":"Dataset","state":"published","title":"SEPA Sediment Monitoring sites","version":1.0,"view":["public","nuri","mfry"],"shortenedDescription":"Dataset of 1076 sediment monitoring sites in Scotland measured by SEPA for a variety of purposes. The dataset consists of site locations in British National Grid or Lat/Long WGS84, describing aspects of each site and the monitoring activity including medium (river,..."},{"publicationDate":"2015-11-13T00:00:00.000+00:00","authorAffiliation":["Wensum Alliance"],"catalogue":"cmp","description":"Continuous measures of hydrochemical parameters from the Wensum Demonstration Test Catchment, in Norfolk, recorded between 2010 and 2015. Monitoring equipment was installed at 7 sites (aka monitoring kiosk A, B, C, D, E, F, M) in this catchment to capture hydrochemical parameters at 30-minute resolution. YSI 6600 multi-parameter sonde measures temperature (degree Celsius), turbidity (nephelometric turbidity unit), electrical conductivity (microsiemens per centimetre), chlorophyll-a (micrograms per litre), pH and dissolved oxygen (percent and milligrams per litre) . Stage height (metres) is measured by a pressure transducer housed in a stilling well. Flow (cubic metres per second) is estimated by a Doppler flow meter, the Sontek Argonaut. Analogues (nutrients) are measured in 2 of the sites (monitoring kiosk E and F) which include total phosphorus (milligrams per litre) and total reactive phosphorus (milligrams per litre) are measured in 2 of the sites (monitoring kiosk E and F) using a Hach Lange Phosphax Sigma analyser, nitrate (milligrams per litre) is measured using a Nitratax SC optical probe.","documentType":"GEMINI_DOCUMENT","identifier":"501efc7b-5a66-4872-ac51-05d44fd5e020","impDataType":["Tabular"],"impScale":["Catchment","River Reach"],"impTopic":["Water Quality"],"impWaterPollutant":["Nitrogen","Phosphorus"],"incomingCitationCount":0,"keyword":["Tabular","Catchment","River Reach","Water Quality","Nitrogen","Phosphorus"],"licence":"Non-Open government licence","lineage":"The Wensum DTC has a monitoring network installed to measure meteorological, hydrological and hydrochemical parameters in target sub-catchments. This statement aims to describe the in-situ monitoring equipment, methods and protocols performed on our data before it is published on the archive. Quality assurance and quality control procedures Quality assurance (QA) procedures are followed during data collection, detailed with our monitoring equipment. Regular maintenance activities are carried out at a weekly frequency and involve cleaning of flow-through cells, clearing of in-channel vegetation and debris where stage is monitored and cleaning of rain gauges. All field work and maintenance activities are entered into maintenance logs for each site, which are used during data quality control (QC) procedures. QC procedures include the validation of high-frequency nutrient data using point samples in the Blackwater sub catchment. These samples are analysed in laboratories following standard methods. Inter-laboratory comparisons are used to check consistency in analytical procedures between sub-catchments. QC procedures also include the identification of errors in all data sets. Errors flagged as critical include: periods of maintenance when data may be unrepresentative; equipment of power failures; or data below limits of detection. On-site visits by field staff are recorded in a maintenance log which is checked against the data during the quality control (QC) post-processing. Any data likely to be disturbed by the routine field work are removed, along with any known periods of downtime, hence some of the data is not included and there may be time breaks in the files accessible on the archive. The Wensum DTC’s sampling kiosks monitor many hydrochemical parameters at a 30 minute resolution. Samples are also analysed less frequently at the University of East Anglia’s laboratory, all using standard laboratory methods. The monitoring equipment used is detailed below: Pressure transducer – Measures stage height. Sontek Argonaut – Doppler meter which measures stage height and infers flow from velocity and pre-programmed stream cross section. Sontek IQ – Doppler meter which measures stage height and infers flow from velocity and pre-programmed stream cross section. YSI 6600 series multi-parameter sonde - Measures water temperature, electrical conductivity, dissolved oxygen, pH, ammonium, turbidity and chlorophyll-a. Hach Lange Nitratax SC optical probe which measures N concentration. The Nitratax sensors are calibrated every 3 months using a standard solution. Hach Lange Sigmatax and Phosphax Sigma analyser (kiosk E and F only) - Measures total phosphorus and total reactive phosphorus colorimetrically using homogenised sample from Sigmatax. The Phosphax Sigma is automatically cleaned and calibrated daily using reagents that are replaced every 3 months. Routine laboratory water sample data Water samples are collected at the monitoring kiosk’s intake pipes and are analysed at the University of East Anglia’s laboratory using standard laboratory practices. ISCO water sample data Automatic ISCO samplers are installed at monitoring kiosks to measure hydrochemical properties of storm derived water. These are analysed at the University of East Anglia.\n","locations":["POLYGON((1.0945972 52.767171, 1.0945972 52.803219, 1.1731899 52.803219, 1.1731899 52.767171, 1.0945972 52.767171))"],"organisation":["Wensum Alliance"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/501efc7b-5a66-4872-ac51-05d44fd5e020"],"resourceStatus":"Unknown","resourceType":"Dataset","state":"published","title":"Continuous measuring of hydrochemical parameters (2010-2015) [Wensum DTC]","version":1.0,"view":["public","nuri","mfry"],"shortenedDescription":"Continuous measures of hydrochemical parameters from the Wensum Demonstration Test Catchment, in Norfolk, recorded between 2010 and 2015. Monitoring equipment was installed at 7 sites (aka monitoring kiosk A, B, C, D, E, F, M) in this catchment to capture hydrochemical..."},{"catalogue":"cmp","description":"Using the water quality models, SAGIS-SIMCAT and SWAT, a reduction in the risk of exceeding drinking water quality standards at a water treatment works intake was shown for nutrients and metaldehyde as a result of introducing farm measures. The costs of these measures were then compared to the economic benefits of reduced risk.","documentType":"IMP_DOCUMENT","identifier":"0459768f-0b92-46f8-ba0a-a05062223234","impCaMMPIssues":["Pollution Source","Management outcome","Cost Effectiveness"],"impScale":["Catchment"],"impTopic":["Water quality"],"impWaterPollutant":["Phosphorus","Nitrogen","Metaldehyde"],"incomingCitationCount":0,"keyword":["Water quality","Pollution Source","Phosphorus","Nitrogen","Metaldehyde","Management outcome","Cost Effectiveness","Catchment"],"recordType":"Case Study","resourceType":"Case Study","state":"published","title":"Case Study 3: Costs and benefits of mitigation measures to reduce pollutant concentrations for the protection of drinking water in river-systems upstream of intakes.","version":1.0,"view":["public","jaccos"],"shortenedDescription":"Using the water quality models, SAGIS-SIMCAT and SWAT, a reduction in the risk of exceeding drinking water quality standards at a water treatment works intake was shown for nutrients and metaldehyde as a result of introducing farm measures. The costs of these measures..."},{"catalogue":"cmp","description":"QUESTOR modelling shows that all the mitigation methods applied can reduce the amount of Chlorophyll-a predicted to occur in the river. The extent of the reduction is different depending on the data used to drive the QUESTOR model. The effect of increasing the shading (from 20-60%) declines downstream as the river becomes too wide for trees to provide shade.","documentType":"IMP_DOCUMENT","identifier":"edddc8d0-4389-4d6d-981b-e076fc9034f1","impCaMMPIssues":["Other Services","Confidence levels"],"impScale":["River reach"],"impTopic":["Water quality"],"impWaterPollutant":["Phosphorus","Nitrogen","Biological quality"],"incomingCitationCount":0,"keyword":["Water quality","River reach","Phosphorus","Other Services","Nitrogen","Confidence levels","Biological quality"],"recordType":"Case Study","resourceType":"Case Study","state":"published","title":"Case Study 5: Uncertainty in ecological responses to water quality control measures at the river basin scale. ","version":1.0,"view":["public","jaccos"],"shortenedDescription":"QUESTOR modelling shows that all the mitigation methods applied can reduce the amount of Chlorophyll-a predicted to occur in the river. The extent of the reduction is different depending on the data used to drive the QUESTOR model. The effect of increasing the shading..."},{"publicationDate":"2016-01-15T00:00:00.000+00:00","authorAffiliation":["The James Hutton Institute"],"authorGivenName":["Helen","S.","L.","Y.","R.","C.","M.I. ","M."],"authorFamilyName":["Watson","Langan","Johnston","Cook","Cooper","Taylor","Masson","Dunn","Stutter","Jackson-Blake","McKeen"],"authorFullName":["Watson, H.","Langan, S.","Johnston, L.","Cook, Y.","Cooper, R.","Taylor, C.","Masson, L.","Dunn, S.","Stutter, M.I.","Jackson-Blake, L.","McKeen, M."],"authorRor":["https://ror.org/03rzp5127"],"catalogue":"cmp","description":"Mean daily flow and water chemistry data collected from the Tarland Burn, recorded between 2000-2010. Water chemistry determinands measured include: total dissolved phosphorus (TDP), soluble reactive phosphorus (SRP), total phosphorous (TP), particulate phosphorus (PP), nitrate (NO3-N), ammonium (NH4-N) and suspended sediments (SS); water chemistry measurements are in units of mg l-1 for all determinands. Sampling for water chemistry took place at a weekly frequency between 2000 and the end of 2003, with some daily sampling during rainfall events. Daily samples were then collected between February 2004 and June 2005. After June 2005, infrequent irregular sampling took place, with fewer determinands. Mean daily flow, in m3s-1, was also recorded.\n\nThe Tarland Burn is a tributary of the River Dee (northeast Scotland). The samples were collected at Coull (WGS84 57.111, -2.810; OSGB 351050, 802540). ","documentType":"LINK_DOCUMENT","identifier":"23d98eb0-d0d9-420b-8ffc-6a88ee230428","impDataType":["Tabular"],"impScale":["Catchment","River Reach"],"impTopic":["River Flow and Networks","Water Quality"],"impWaterPollutant":["Nitrogen","Phosphorus","Sediment"],"incomingCitationCount":0,"givenName":["Helen","Marc","S.","L.","Y.","R.","C.","M.I. ","M."],"familyName":["Watson","Stutter","Langan","Johnston","Cook","Cooper","Taylor","Masson","Dunn","Jackson-Blake","McKeen"],"fullName":["Watson, H.","Stutter, M.","Langan, S.","Johnston, L.","Cook, Y.","Cooper, R.","Taylor, C.","Masson, L.","Dunn, S.","Stutter, M.I.","Jackson-Blake, L.","McKeen, M."],"keyword":["Tabular","Catchment","River Reach","River Flow and Networks","Water Quality","Nitrogen","Phosphorus","Sediment","Coull","Pollution"],"keywordsPlace":["Coull"],"keywordsTheme":["Pollution"],"licence":"Non-Open government licence","lineage":"Water chemistry data: Sub-daily sampling took place during storms during 2004 and 2005, with 2 to 6 samples per day. Sub-daily data were converted to daily means. Samples were collected via a combination of grab sampling (pre 2004 and post 2005) and auto-sampler. Suspended sediment concentrations were determined gravimetrically on filter papers. Filtrates were analysed for total dissolved phosphorus (TDP), nitrate and ammonium. Unfiltered samples were manually digested by a persulphate autoclave procedure, then analysed as molybdate reactive P to give total P (TP). Particulate P (PP) was calculated as the difference between TP and TDP. Details of sampling protocol, autosampler set-up and analytical methods are given in [1] [2]\n\nDischarge data: Daily mean flow was derived from 15 minute discharge data, with a 'day' classed as 9am - 8:45am, for compatibility with Met Office rainfall data. The 15 minute discharge data was derived from stage information.\n\n[1] Stutter, M.I., Langan, S.J., Cooper, R.J., 2008. Spatial and temporal dynamics of stream water and particulate N, P and C forms along a catchment transect, NE Scotland. Journal of Hydrology 350 (3-4), 187-202. https://doi.org/10.1016/j.jhydrol.2007.10.048\n[2] Stutter, M.I., Langan, S.J., Cooper, R.J., 2008. Spatial contributions of diffuse inputs and within-channel processes to the form of streamwater phosphorus over storm events. Journal of Hydrology 350 (3-4), 203-214. https://doi.org/10.1016/j.jhydrol.2007.10.045","locations":["POLYGON((-2.812 57.11, -2.812 57.112, -2.808 57.112, -2.808 57.11, -2.812 57.11))"],"organisation":["The James Hutton Institute","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f9a69fcb-321d-4f65-a8cf-cfe789224c8f","10.5285/f9a69fcb-321d-4f65-a8cf-cfe789224c8f"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Stutter, M. I., Langan, S. J., & Cooper, R. J. (2008). Spatial and temporal dynamics of stream water particulate and dissolved N, P and C forms along a catchment transect, NE Scotland. Journal of Hydrology, 350(3-4), 187-202","Stutter, M. I., Langan, S. J., & Cooper, R. J. (2008). Spatial contributions of diffuse inputs and within-channel processes to the form of stream water phosphorus over storm events. Journal of Hydrology, 350(34), 203-214"],"title":"Discharge and water chemistry measurements from Tarland Burn at Coull (Scotland) (2000-2010) ","topic":["0/Pollution/"],"version":1.0,"view":["public","nuri","mfry"],"shortenedDescription":"Mean daily flow and water chemistry data collected from the Tarland Burn, recorded between 2000-2010. Water chemistry determinands measured include: total dissolved phosphorus (TDP), soluble reactive phosphorus (SRP), total phosphorous (TP), particulate phosphorus (PP),..."},{"publicationDate":"2016-05-09T00:00:00.000+00:00","altTitle":["Data for DTC Phase I from Hampshire Avon DTC Consortium"],"catalogue":"cmp","description":"High resolution datasets of ecological, hydrological and water quality monitoring at approx. 11 sites across the Hampshire Avon and Tamar Defra Test Catchment (DTC) sites between 2011 and 2014, for monitoring and assessing the effects of on-farm interventions on water quality and freshwater ecology.\n\nDatasets are available from the DTC data archive with detailed information on monitoring undertaken and protocols used, but in general consist of:\n\nEcological monitoring:\n- Hampshire Avon DTC Deposited Fine-grained Sediment Monitoring Dataset 2010-2013 (reach-averaged masses of fine-grained sediment in the stream bed at each of the 11 Avon & Tamar DTC sites)\n- Hampshire Avon DTC Diatom Monitoring Dataset 2011-2013 (diatom taxa recorded from samples taken at each of the 11 Avon & Tamar DTC sites)\n- Hampshire Avon DTC Macroinvertebrate Monitoring Dataset 2010-2013 (macroinvertebrate taxa, and their abundance, found in each sample taken at the 11 Avon & Tamar DTC)\n- Hampshire Avon DTC Macrophyte Monitoring Dataset 2011-2013 (list of plant taxa found, with an areal cover estimate, and associated environmental data in each surveyed reach at the 11 Avon & Tamar DTC sites)\n\nHydrological and water quality monitoring: \nBankside (i.e in situe) and laboratory analysis of hydrology and water quality at 9 locations across the catchments. Bankside datasets generally include 15 minute river flow, turbidity (NTU), water temperature and dissolved oxygen, though some sites also record pH, and others include rainfall as well as chlorophylls, conductivity, ammonium, nitrate, total phosphorus (TP) and total reactive phosphorus (TRP) . Laboratory analyses generally include daily samples analysed for nutrient fractions / species.\n\nHampshire Avon DTC sites:\n- Burracott, Neet catchment\n- Ebble downstream, Hampshire Avon catchment (additional bankside water quality series monitored)\n- Ebble upstream, Hampshire Avon catchment (includes rainfall)\n- Sem at Cool's Cottage, Hampshire Avon catchment\n- Sem at Priors Farm, Hampshire Avon catchment\n- Wylye at Kingston Deverill, Hampshire Avon catchment\n- Wylye at Brixton Deverill, Hampshire Avon catchment (additional bankside water quality series monitored)\n\nTamar DTC sites:\n- Caudworthy Water at Caudworthy Ford, Tamar catchment:\n- Winnacott Bridge at Caudworthy Ford, Tamar catchment (no bankside hydrology and water quality)\n","documentType":"GEMINI_DOCUMENT","identifier":"62354bcc-5ed7-4ada-99d5-942d7ef9d796","impDataType":["Time Series"],"impScale":["Catchment"],"impTopic":["Site Specific Data","Agricultural Practices","Water Quality"],"impWaterPollutant":["Biological Quality","Phosphorus","Nitrogen","Sediment"],"incomingCitationCount":0,"keyword":["Catchment","Time Series","Site Specific Data","Agricultural Practices","Biological Quality","Water Quality","Phosphorus","Nitrogen","Sediment"],"licence":"Non-Open government licence","lineage":"Protocols for water quality monitoring, and links to descriptions or publications for the ecological monitoring methods are available via the DTC data pages provide in the online resource links.","locations":["POLYGON((-4.679 50.237, -4.679 51.341, -1.515 51.341, -1.515 50.237, -4.679 50.237))"],"organisation":["Rothamsted Research"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/62354bcc-5ed7-4ada-99d5-942d7ef9d796"],"resourceStatus":"Unknown","resourceType":"Dataset","state":"published","title":"High resolution water quality, hydrology and ecological monitoring data from the Hampshire Avon and Tamar (2011 - 2014) [DTC project] ","version":1.0,"view":["public","nuri","mfry"],"shortenedDescription":"High resolution datasets of ecological, hydrological and water quality monitoring at approx. 11 sites across the Hampshire Avon and Tamar Defra Test Catchment (DTC) sites between 2011 and 2014, for monitoring and assessing the effects of on-farm interventions on water..."},{"authorAffiliation":["Defra"],"catalogue":"cmp","description":"The British Survey of Fertiliser Practice (BSFP) is an annual survey based on the selection each year of a representative sample (c1500) of farms from mainland Britain. The survey is the primary source of information regarding the application of organic and inorganic fertiliser in Great Britain. The first time results were integrated into one report for Great Britain was 1992, before this each country (England and Wales from 1942, Scotland from 1983) had their own report which ran parallel to each other. The main purpose of the survey is to estimate average application rates of nitrogen, phosphate and potash for a wide range of crops and grassland. Information is also collected on applications of sulphur fertilisers, organic manures and lime. Within the later surveys there is also analysis of longer term trends in fertiliser use.\nThe main sections currently contained within the BSFP include:-\n\nSection A - The British Survey of Fertiliser Practice - This is an introduction to the survey and a outline of the structure. Section A of the report also goes into large detail about the survey methodology and general trends and issues in the year in question (e.g. crop areas and weather)\n\nSection B1 - Commentary on fertiliser use in Great Britain - This is the main section of the report and gives the yearly overview of fertiliser results and trends from recent history. The section then gives separate details on the use of fertiliser (N,P,K,S) on tillage crops and grassland.\n\nSection B2 - Commentary on fertiliser use in Great Britain - Analysis of the longer trends in fertiliser use in Great Britain split into sections on nitrogen, phosphate and potash.\n\nSection C - Tables detailing the fertiliser use for Great Britain, plus separate data for England and Wales and for Scotland. Data include rates and proportions receiving fertiliser by crop type, by farm type, by fertiliser type.\n\nSection D - Use of Organic Materials - Information on farm handling and use of organic manures and the fertiliser value of organic manures. This section only came into the survey in 2007. \n\nSection E - Spreading precision, record keeping, nutrient management plans - Farmers asked a series of questions about the care taken in application of fertilisers and manures and in record keeping. This section was created in 2013 as it was within section D previously when only related to organic manures.\n","documentType":"GEMINI_DOCUMENT","identifier":"d879b7fc-4716-4965-aa47-eb0ec0b03972","impDataType":["Tabular"],"impScale":["National"],"impTopic":["Agricultural Practices"],"impWaterPollutant":["Nitrogen","Phosphorous"],"incomingCitationCount":0,"keyword":["Agriculture","Fertiliser","Tabular","National","Agricultural Practices","Nitrogen","Phosphorous"],"licence":"Non-Open government licence","lineage":"In 2000 to help improve the survey response and to reduce the year-on-year variability, a core of respondents agreed to complete the survey for a number of years. Following on from this in 2006 and 2007 a review of the panel structure was undertaken to ensure that the proportion of respondents who had participated on the panel for five consecutive years or more constituted no more than 20% of the total sample. In the 2014 survey 70% of the sample had responded in the previous year. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"organisation":["Defra"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d879b7fc-4716-4965-aa47-eb0ec0b03972"],"resourceStatus":"Unknown","resourceType":"Dataset","state":"published","title":"British Survey of Fertiliser Practice (1992-2015)","version":1.0,"view":["public","nuri","mfry"],"shortenedDescription":"The British Survey of Fertiliser Practice (BSFP) is an annual survey based on the selection each year of a representative sample (c1500) of farms from mainland Britain. The survey is the primary source of information regarding the application of organic and inorganic..."},{"catalogue":"cmp","description":"more to come","documentType":"IMP_DOCUMENT","identifier":"ad5d449a-ffe5-4681-b3be-8336cb9ca6eb","impCaMMPIssues":["Transferability","Other Services","Management outcome","Confidence levels","Climate Change"],"impDataType":["Geospatial / Map"],"impScale":["Regional","National","Catchment"],"impTopic":["Water quality","Soil","River flow and networks","Land use","Land cover","Greenhouse gas fluxes","Biodiversity"],"impWaterPollutant":["Phosphorus","Nitrogen","Biological quality"],"incomingCitationCount":0,"keyword":["Water quality","Transferability","Soil","River flow and networks","Regional","Phosphorus","Other Services","Nitrogen","National","Management outcome","Land use","Land cover","Greenhouse gas fluxes","Geospatial / Map","Confidence levels","Climate Change","Catchment","Biological quality","Biodiversity"],"recordType":"Model (UKCEH)","resourceType":"Model (UKCEH)","state":"published","title":"DTT (Dynamic Typology Tool)","version":1.0,"view":["public","jaccos"],"shortenedDescription":"more to come"},{"catalogue":"cmp","description":"Farmscoper is a decision support tool that allows an assessment of the cost and effectiveness of agricultural mitigation methods on multiple pollutants. It incorporates meta-models of a number of different pollutant models which have previously been used for government policy support at national scale. Farmscoper was originally developed for use at farm scale, but the tool has now been expanded (v3) to include functionality to predict pollutant losses and mitigation impacts for multiple farms in order to simulate one or more catchments. It contains all the data required for use at Water Management Catchment scale in England. ","documentType":"IMP_DOCUMENT","identifier":"a08670f4-e00c-4dcb-8e08-cfc8bb6dbde7","impCaMMPIssues":["Transferability","Other Services","Management outcome","Cost Effectiveness","Confidence levels"],"impDataType":["Tabular"],"impScale":["Regional","National","Farm","Catchment","national"],"impTopic":["Water quality","Soil","Greenhouse gas fluxes","Climate scenarios","Biodiversity"],"impWaterPollutant":["Sediment","Phosphorus","Nitrogen"],"incomingCitationCount":0,"keyword":["Water quality","Transferability","Tabular","Soil","Sediment","Regional","Phosphorus","Other Services","Nitrogen","National","Management outcome","Greenhouse gas fluxes","Farm","Cost Effectiveness","Confidence levels","Climate scenarios","Catchment","Biodiversity"],"recordType":"Model (UKCEH)","resourceType":"Model (UKCEH)","state":"published","title":"FARMSCOPER  (Farm Scale Optimisation of Pollutant Emission Reductions)","version":1.0,"view":["public","jaccos"],"shortenedDescription":"Farmscoper is a decision support tool that allows an assessment of the cost and effectiveness of agricultural mitigation methods on multiple pollutants. 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