{"numFound":34,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impWaterPollutant%7CNitrogen&facet=impScale%7CNational&facet=impScale%7CRiver+reach&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impWaterPollutant%7CSediment&facet=impScale%7CRegional","nextPage":"http://catalogue.ceh.ac.uk/cmp/documents?page=2&facet=impWaterPollutant%7CNitrogen&facet=impScale%7CNational&facet=impScale%7CRiver+reach&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impWaterPollutant%7CSediment&facet=impScale%7CRegional","results":[{"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":"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;..."},{"catalogue":"cmp","description":"This case study uses a Dynamic Typology Tool (DTT) to combine spatially explicit datasets describing landscape character and management and identify homologous areas of agricultural potential, natural environment quality and risk.  The DTT provides national coverage and local output suitable for stakeholder engagement in study areas. Application of the tool can aid identification, targeting and prioritisation of land-use opportunities for management of water quality.","documentType":"IMP_DOCUMENT","identifier":"e534c7cc-d2fb-47e6-8ace-36ced5f9af48","impCaMMPIssues":["Transferability","Other Services"],"impScale":["National"],"impTopic":["Water quality","Soil","Greenhouse gas fluxes","Biodiversity"],"impWaterPollutant":["Sediment","Phosphorus","Nitrogen","Biological quality"],"incomingCitationCount":0,"keyword":["Water quality","Transferability","Soil","Sediment","Phosphorus","Other Services","Nitrogen","National","Greenhouse gas fluxes","Biological quality","Biodiversity"],"recordType":"Case Study","resourceType":"Case Study","state":"published","title":"Case Study 7: Interpolation of model outputs and data from catchment to national scales and monitored to non-monitored sites","version":1.0,"view":["public","jaccos"],"shortenedDescription":"This case study uses a Dynamic Typology Tool (DTT) to combine spatially explicit datasets describing landscape character and management and identify homologous areas of agricultural potential, natural environment quality and risk.  The DTT provides national coverage..."},{"catalogue":"cmp","description":"QUESTOR represents a river as a series of river reaches within which physical, chemical and biological processes operate.. The initial selection of reaches is based on the location of \tconfluences, diffuse (catchment) sources, discharge points, abstraction points, monitoring sites, and weirs. Once this has been done, long reaches, say those greater than 10km, can be sub-divided. The flow and water quality out of a reach are calculated based on a mass balance of flows into the head of the reach plus contributions from point sources and diffuse sources minus abstractions. The determinands and processes modelled are not fixed within the QUESTOR modelling environment, but are tailored to the particular application. The QUESTOR model has sets of equations to simulates nitrogen and phosphorus species, pH and suspended sediment, the aspects of water quality of particular interest are those determinands indicative of the impacts on the river ecosystem, namely temperature, chlorophyll-a (Chl-a), BOD and DO. Chl-a is used as a surrogate for the algae using a fixed stoichiometry model whereby the ratio chl-a:C:N:P is 1:50:10:1. The growth of algae is limited by light, temperature and nutrient concentrations.  The model was developed to help catchment managers assess the impact of their actions e.g. changing discharges consents, abstracting more water from a river or building a flood relief channel. The aim was to produce a physically realistic representation of a number of important measures of river water quality while being practical to run using generally available datasets. \nQUESTOR is based on the earlier in-stream water quality models IHQM (Institute of Hydrology water Quality Model) and QUASAR (Quality Simulation Along Rivers). QUASAR was sold commercially for both VAX and PC systems, and is now available free of charge, but unsupported, as PC-QUASAR. The model formulation of the \"basic\" version of QUESTOR corresponds broadly with QUASAR.\n","documentType":"IMP_DOCUMENT","identifier":"53f3d4fd-8f62-4d35-a232-053a4e961ba0","impCaMMPIssues":["Transferability","Management outcome","Confidence levels"],"impScale":["River reach","catchment"],"impTopic":["Water quality","River flow and networks","Climate scenarios"],"impWaterPollutant":["Phosphorus","Nitrogen","Biological quality"],"incomingCitationCount":0,"keyword":["Water quality","Transferability","River reach","River flow and networks","Phosphorus","Nitrogen","Management outcome","Confidence levels","Climate scenarios","Biological quality"],"recordType":"Model (UKCEH)","resourceType":"Model (UKCEH)","state":"published","title":"QUESTOR  (Quality Evaluation and Simulation Tool for River Systems)","version":1.0,"view":["public","jaccos"],"shortenedDescription":"QUESTOR represents a river as a series of river reaches within which physical, chemical and biological processes operate.. The initial selection of reaches is based on the location of \tconfluences, diffuse (catchment) sources, discharge points, abstraction points, monitoring..."},{"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"},{"publicationDate":"2016-06-01T00:00:00.000+00:00","catalogue":"cmp","description":"Estimates of discharged loads of nitrogen, phosphorous and fine-grained sediments to rivers in England and Wales from multiple sector sources, reported at Water Framework Directive catchment scale, from the SEctor Pollutant AppoRtionment for the AquaTic Environment (SEPARATE) modelling framework [1].\n\nThe SEPARATE framework integrates information on pollutant emissions from multiple sources to provide apportionment and summarises these estimates on the basis of the WFD cycle 2 waterbodies for England and Wales.\n\nThe estimated loads are expressed as tonnes per year. Sources are both diffuse and point sources. Diffuse sources include agriculture, urban, river channel banks, atmospheric deposition; point sources include sewage treatment works, septic tanks, combined sewer overflows, storm tanks. The pollutant loads and percentages are given as cumulative values with the values from the upstream catchment. Phosphorous is reported both as dissolved phosphorous and total phosphorous.\n\n[1] Zhang, Y.; Collins, A.L.; Murdoch, N.; Lee, D.; Naden, P.S. (2014) Cross sector contributions to river pollution in England and Wales: Updating waterbody scale information to support policy delivery for the Water Framework Directive. Environmental Science & Policy, 42, pp 16-32. doi:10.1016/j.envsci.2014.04.010","documentType":"LINK_DOCUMENT","identifier":"a26e2127-8a20-49a4-8f57-d5e78cd55231","impDataType":["Geospatial / Map","Tabular"],"impScale":["Catchment","National"],"impTopic":["River Flow and Networks","Water Quality"],"impWaterPollutant":["Nitrogen","Phosphorus","Sediment"],"incomingCitationCount":0,"givenName":["Adie","Dave"],"familyName":["Collins","Skirvin"],"fullName":["Collins, A.","Skirvin, D."],"keyword":["Geospatial / Map","Tabular","Catchment","National","River Flow and Networks","Water Quality","Nitrogen","Phosphorus","Sediment","Modelling","Pollution"],"keywordsTheme":["Modelling","Pollution"],"licence":"Open government licence","lineage":"This dataset is from the SEPARATE framework, which is based upon data from the period spanning from 2010 to 2012. Main input datasets include: 2010 June Agricultural Survey, 2010 British Survey of Fertiliser Practice (BSFP), elevation data, soil classification, meteorological data, river flow data, and river network outline. Further information given in [1].\n\nAlthough the pollutant emissions are summarised by WFD cycle 2 catchment, the results for individual waterbodies with areas <25 km2 should be treated with caution. This amounts to approximately 43% of the waterbodies across England and Wales and primarily reflects issues associated with the accuracy of statistical or regionally averaged data used to drive the emission layers including those for the agricultural sector. \n\n[1] Zhang, Y.; Collins, A.L.; Murdoch, N.; Lee, D.; Naden, P.S. (2014) Cross sector contributions to river pollution in England and Wales: Updating waterbody scale information to support policy delivery for the Water Framework Directive. Environmental Science & Policy, 42, pp 16-32. doi:10.1016/j.envsci.2014.04.010","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"organisation":["Rothamsted Research","ADAS","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8dc7c876-90ca-4886-bd0a-9b3a99b09f64"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/0347fy350","https://ror.org/006d11e04","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Zhang, Y.; Collins, A.L.; Murdoch, N.; Lee, D.; Naden, P.S. (2014) Cross sector contributions to river pollution in England and Wales: Updating waterbody scale information to support policy delivery for the Water Framework Directive. Environmental Science & Policy, 42, pp 16-32. "],"supplementalName":["WFD Surface Water Management Catchments Cycle 2"],"title":"Source apportionment of annual nutrient and sediment loads to rivers in England and Wales, from the SEPARATE framework","topic":["0/Modelling/","0/Pollution/"],"version":1.0,"view":["public","nuri","mfry"],"shortenedDescription":"Estimates of discharged loads of nitrogen, phosphorous and fine-grained sediments to rivers in England and Wales from multiple sector sources, reported at Water Framework Directive catchment scale, from the SEctor Pollutant AppoRtionment for the AquaTic Environment..."},{"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":"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":"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":"Rainwater alkalinity, chloride-ion, conductivity, pH and nutrients data from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2004 and 2006. Rainwater samples were collected fortnightly at seven sites in these catchments and analysed for Alkalinity pH 4.5, Ammonia, Chloride-ion, Conductivity 20 °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 rainwater chemistry data across the LOCAR catchments.","documentType":"LINK_DOCUMENT","identifier":"6a237b76-bee9-4a75-a237-04841cc36d5e","impDataType":["Tabular","Time Series"],"impScale":["Catchment"],"impTopic":["Water Quality"],"impWaterPollutant":["Nitrogen","Phosphorus"],"incomingCitationCount":0,"givenName":["Nuria ","D.","P.","R.","E.","I.","J.","C.I.","N."],"familyName":["Bachiller Jareno","Leach","Henville","Wyatt","Hewitt","Morrissey","Weller","Tindall","Bachiller-Jareno"],"fullName":["Bachiller Jareno, N.","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","Water quality","The Lowland Catchment Research Programme","LOCAR","rainwater"],"keywordsTheme":["Water quality"],"keywordsOther":["The Lowland Catchment Research Programme","LOCAR","rainwater"],"licence":"Open government licence","lineage":"The rainwater collector was brought back to the lab 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 into a glass bottle. Samples for Phosphorus soluble reactive were filtered. Unfiltered samples were used for the rest of the 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. The data from the Frome Piddle catchment do not have a time associated with them. The time was not recorded when the rainwater collector was brought back from the field. In the dataset this is represented by the value 00:00. 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":["1426780628758","https://catalogue.ceh.ac.uk/id/274b541c-ee28-4041-8d3a-be5e970cd74e","10.5285/274b541c-ee28-4041-8d3a-be5e970cd74e"],"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 rainwater (2004-2006) [LOCAR]","topic":["0/Water quality/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"Rainwater alkalinity, chloride-ion, conductivity, pH and nutrients data from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2004 and 2006. Rainwater samples were collected fortnightly at seven sites in these catchments and analysed for Alkalinity..."},{"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..."},{"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),..."},{"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":"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":"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":"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..."},{"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":"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":"The impacts of the suite of Countryside Stewardship options were reductions in national agricultural pollution of over 6% (nitrate) and 10% (phosphorus). Accounting for non-agricultural sources of pollution reduced the net overall impact of the options to 4% (nitrate) and 3% (phosphorus). There would also be a net reduction in GHG emissions from agriculture.","documentType":"IMP_DOCUMENT","identifier":"a426ddf1-fd15-40ae-9897-5bf73c610df0","impCaMMPIssues":["Transferability","Pollution Source","Management outcome","Cost Effectiveness"],"impDataType":["Tabular","Geospatial / Map"],"impScale":["National"],"impTopic":["Water quality","Non-agricultural pollution"],"impWaterPollutant":["Sediment","Phosphorus","Nitrogen"],"incomingCitationCount":0,"keyword":["Water quality","Transferability","Tabular","Sediment","Pollution Source","Phosphorus","Non-agricultural pollution","Nitrogen","National","Management outcome","Geospatial / Map","Cost Effectiveness"],"recordType":"Case Study","resourceType":"Case Study","state":"published","title":"Case Study 2: Effectiveness of land management policies and agri-environment interventions for reducing pollutant loads and maintaining environmental quality at the national scale. ","version":1.0,"view":["public","jaccos"],"shortenedDescription":"The impacts of the suite of Countryside Stewardship options were reductions in national agricultural pollution of over 6% (nitrate) and 10% (phosphorus). Accounting for non-agricultural sources of pollution reduced the net overall impact of the options to 4% (nitrate)..."},{"publicationDate":"2015-11-13T00:00:00.000+00:00","authorAffiliation":["Wensum Alliance"],"catalogue":"cmp","description":"Field measurements of major ions, phosphorus, nitrogen fractions, alkalinity and pH from the Wensum Demonstration Test Catchment, in Norfolk, measured between 2010 and 2015. Water samples are collected at 7 sites (aka monitoring kiosk A, B, C, D, E, F, M) in this catchment and analysed at the University of East Anglia's laboratory. The analysed determinands include: water pH, electrical conductivity (microsiemens per centimetre), calcium (milligrams per litre), magnesium (milligrams per litre), sodium (milligrams per litre), potassium (milligrams per litre), sulphates (milligrams per litre), Chlorine (milligrams per litre), Alkalinity (mg CaCO3 per litre),\tBicarbonate (milligrams per litre), Carbonate (milligrams per litre), Silicon (micrograms per litre), boron (micrograms per litre), aluminium (micrograms per litre), iron (micrograms per litre), manganese (micrograms per litre), nitrates (milligrams per litre), nitrogen Dioxide (micrograms per litre), ammonium (micrograms per litre), total nitrogen (milligrams per litre), total particulate nitrogen (milligrams per litre), total dissolved nitrogen (milligrams per litre), dissolved organic nitrogen (milligrams per litre), total phosphorus (micrograms per litre), total particulate phosphorus (micrograms per litre), total dissolved phosphorus (micrograms per litre), molybdate reactive phosphorus (micrograms per litre), phosphates (micrograms per litre), total carbon (milligrams per litre), total organic carbon (milligrams per litre), non-purgeable organic carbon (milligrams per litre), total suspended solids (milligrams per litre), total cationic concentration (milliequivalents), total anionic concentration (milliequivalents). \n\n","documentType":"GEMINI_DOCUMENT","identifier":"441471d7-f57c-4caa-8b84-526409b8122c","impDataType":["Tabular"],"impScale":["Catchment","River Reach"],"impTopic":["Water Quality"],"impWaterPollutant":["Nitrogen","Phosphorous"],"incomingCitationCount":0,"keyword":["Tabular","Catchment","River Reach","Water Quality","Nitrogen","Phosphorous"],"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/441471d7-f57c-4caa-8b84-526409b8122c"],"resourceStatus":"Unknown","resourceType":"Dataset","state":"published","title":"Field measurements of major ions, phosphorus, nitrogen fractions, alkalinity and pH (2010-2015) [Wensum DTC]","version":1.0,"view":["public","nuri","mfry"],"shortenedDescription":"Field measurements of major ions, phosphorus, nitrogen fractions, alkalinity and pH from the Wensum Demonstration Test Catchment, in Norfolk, measured between 2010 and 2015. Water samples are collected at 7 sites (aka monitoring kiosk A, B, C, D, E, F, M) in this catchment..."},{"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. It incorporates meta-models of a number of different pollutant models which have previously been used for government..."}],"facets":[{"fieldName":"resourceType","displayName":"Resource type","hierarchical":false,"admin":false,"results":[{"name":"Case Study","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impWaterPollutant%7CNitrogen&facet=impScale%7CNational&facet=impScale%7CRiver+reach&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impWaterPollutant%7CSediment&facet=impScale%7CRegional&facet=resourceType%7CCase+Study","active":false,"count":7},{"name":"Dataset","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impWaterPollutant%7CNitrogen&facet=impScale%7CNational&facet=impScale%7CRiver+reach&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impWaterPollutant%7CSediment&facet=impScale%7CRegional&facet=resourceType%7CDataset","active":false,"count":122},{"name":"Model 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