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Drones can be used to calibrate satellite remote-sensing measurements, and to map and measure environmental features such as: landscapes; land management; habitats; vegetation; crops; disease; wildlife; soil moisture; chemicals and pollution.","documentType":"infrastructurerecord","identifier":"9801a568-4e99-457f-9b96-428ab5d713f6","incomingCitationCount":0,"infrastructureCapabilities":"The UKCEH drone fleet can carry a range of sensors to rapidly map and measure, for example: landscapes; land management; habitats; vegetation; crops; disease; wildlife; soil moisture; chemicals and pollution.  UKCEH Drones are registered with the Civil Aviation Authority (CAA) for regulated UK use, primarily in rural settings but they can fly in urban settings with CAA and landowner permissions, and they have also been used around the world.  The drones are robust, generally stable in wind and rain, long endurance (able to cover 1 square km in one flight) and capable of carrying weights up to 1kg (though there is a trade-off between weight and battery charge which may limit endurance).  UKCEH drones offer: industry-standard quality assurance and control procedures; machine learning to detect and identify specific objects; processes and capacity to handle large data sets.  The UKCEH drone fleet comprises: (1) DJI Mavic pro 2 RGB drone - based at UKCEH Wallingford.  (2) DJI Matrice 600 heavy lift drone - based at UKCEH Wallingford - can be fitted with various sensors, but generally with hyperspectral imaging spectrometer (400-900nm).  (3) M300RTK - based at UKCEH Lancaster - with: onboard CPU for AI and UAV control; twin cameras for simultaneous multispectral and high resolution mapping; capabale of mapping 1 sq km in a single flight with LIDAR.  LIDAR processing software is available at UKCEH Lancaster to combine the spectral data with the LIDAR measurements.  Postprocessing of data using photogrammetry and vegetation indices is also available using cloud based computer processing systems.","infrastructureCategory":["Mobile observing platforms"],"infrastructureChallenge":["Climate change: mitigation","Sustainable ecosystems: biodiversity net gain"],"infrastructureClass":["Environmental observatories"],"metadataDate":"2025-04-09T09:24:49.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue-staging.ceh.ac.uk/id/02c2ae1e-e1e5-4ceb-9192-baaf8266f630","https://catalogue.ceh.ac.uk/id/9801a568-4e99-457f-9b96-428ab5d713f6"],"resourceType":"Science infrastructure","scienceArea":"Hydro-climate Risks","shortenedDescription":"The purpose of UKCEH's Unmanned Airborne Systems (drones) is to enable high-resolution remote sensing, imaging, mapping and monitoring of environmental status and change.  Drones can be used to calibrate satellite remote-sensing measurements, and to map and measure…","state":"published","title":"Airborne Research Drones","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"The UKCEH Soil Bank is UKCEH’s facility for storing and analysing soil samples from nationally important surveys and experiments. It contains soils from across England, Scotland and Wales, as well as samples from key global studies, with the majority of samples linked to an array of existing soil, vegetation, habitat and climate data.\n\nSoils are a living ecosystem involving a complex mix of minerals, decaying and stabilised organic matter and a diverse biota of microbes and microfauna. The UKCEH Soil Bank comprises both air-dried soil samples, typically used to analyse key soil properties, and frozen core samples, which can be used for DNA-based biodiversity analyses.","documentType":"infrastructurerecord","identifier":"d5a7b276-3fbc-4d12-b816-0f74a4692a33","incomingCitationCount":0,"infrastructureCapabilities":"The Soil Bank houses air-dried and frozen soil samples, and is equipped with: extensive roller-racking shelving for air-dried soil samples (currently ~8000 samples); two walk-in freezer rooms, one with roller-racking, both maintained at -20 degrees (currently ~7000 frozen cores). This is coupled with laboratory facilities for processing and analyses.","infrastructureCategory":["Discovery collections"],"infrastructureChallenge":["Pollution","Sustainable ecosystems: biodiversity net gain"],"infrastructureClass":["Environmental observatories"],"infrastructureScale":"UK","locations":["POINT(-2.78296 54.01318)"],"metadataDate":"2025-04-09T09:24:37.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue-staging.ceh.ac.uk/id/a6dd2981-e815-4bbd-9737-492c7bc3511e","https://catalogue.ceh.ac.uk/id/d5a7b276-3fbc-4d12-b816-0f74a4692a33"],"resourceType":"Science infrastructure","scienceArea":"Soils and Land Use","shortenedDescription":"The UKCEH Soil Bank is UKCEH’s facility for storing and analysing soil samples from nationally important surveys and experiments. It contains soils from across England, Scotland and Wales, as well as samples from key global studies, with the majority of samples linked…","state":"published","title":"UKCEH Soil Bank","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"PROTECH simulates changing dynamics of phytoplankton species in lakes and reservoirs, particularly Cyanobacteria (blue-green algae), and predicts harmful algal blooms.  It is used: (1) by researchers to study climate change impacts and sensitivity to nutrient pollution; and (2) by Environment Agency, Natural England and water companies to inform water regulation and management.","documentType":"infrastructurerecord","identifier":"156fcfc9-379f-4984-b5f5-08d94cecf784","incomingCitationCount":0,"infrastructureCapabilities":"PROTECH is a process model that simulates algal biomass and community (species) composition plus water chemistry (oxygen and dissolved carbon concentrations) at daily time intervals at different water depths.  It combines: daily weather and nutrient input data; an algal library containing more than 100 species types; species-specific growth-rates that respond to temperature, light and nutrients; and specific algal movement characteristics.  By building up from these traits, the best predictions can be made.  PROTECH has been applied to different water bodies around the world and can be used for research or applied management and treatment scenarios for lakes and reservoirs.  ","infrastructureCategory":["Environmental models"],"infrastructureChallenge":["Pollution"],"infrastructureClass":["Digital infrastructures"],"metadataDate":"2025-04-09T09:24:39.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/156fcfc9-379f-4984-b5f5-08d94cecf784"],"resourceType":"Science infrastructure","scienceArea":"Water Resources","shortenedDescription":"PROTECH simulates changing dynamics of phytoplankton species in lakes and reservoirs, particularly Cyanobacteria (blue-green algae), and predicts harmful algal blooms.  It is used: (1) by researchers to study climate change impacts and sensitivity to nutrient pollution;…","state":"published","title":"Phytoplankton RespOnses To Environmental CHange (PROTECH)","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"The purpose of the UKCEH Countryside Survey is to monitor status and change in the UK countryside since 1978.  Data from the Survey serve as an audit of the natural resources of the countryside and are a great source of data for researchers and the general public alike. They are used for numerous purposes from fundamental research, to the UK National Ecosystem Assessment, the UK Natural Capital Accounts, agri-environment reporting, validating the UKCEH Land Cover Map and soil health reporting.  Researchers use the Survey data to understand, model and predict environmental change arising from pressures such as climate change, pollution, invasive non-native species and new crops.","documentType":"infrastructurerecord","identifier":"56b78b0a-9b9d-4d82-ace1-c383d21e989e","incomingCitationCount":0,"infrastructureCapabilities":"The Countryside Survey was repeated at 8-10 year intervals since 1978, then from 2019 is conducted as a rolling programme that repeats every 5 years.  Each survey or rolling programme covers around 500 one-kilometre squares across England, Scotland and Wales, with a complementary survey in Northern Ireland, representing all major landscape types (including farmland; heath; moor; small rivers and ponds).  The Survey uses standardised ecological field survey methods, now aided by online tools and apps for smartphones and tablets, to record attributes such as: ecological habitats and landscape features; streams and ponds; plant species identity and abundance; plus soil health.","infrastructureCategory":["Surveys"],"infrastructureChallenge":["Climate change: mitigation","Sustainable ecosystems: biodiversity net gain"],"infrastructureClass":["Environmental observatories"],"infrastructureScale":"UK","metadataDate":"2025-04-09T09:24:37.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue-staging.ceh.ac.uk/id/3d96cd86-79d6-4683-bda9-3d9799fe9d18","https://catalogue.ceh.ac.uk/id/56b78b0a-9b9d-4d82-ace1-c383d21e989e"],"resourceType":"Science infrastructure","scienceArea":"Soils and Land Use","shortenedDescription":"The purpose of the UKCEH Countryside Survey is to monitor status and change in the UK countryside since 1978.  Data from the Survey serve as an audit of the natural resources of the countryside and are a great source of data for researchers and the general public alike.…","state":"published","title":"UKCEH Countryside Survey","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"QUESTOR simulates water quality in rivers to understand changing water quality and ecosystem health under past and present conditions.  It is used: (1) to predict how river water quality will respond to climate change; and (2) to predict how river water quality will respond to changing water management (eg increased abstraction or discharge; planting river-bank trees; or building a flood relief channel).","documentType":"infrastructurerecord","identifier":"906ea32c-1005-45a2-afbe-86619e8bc45f","incomingCitationCount":0,"infrastructureCapabilities":"QUESTOR is a process model that is practical to run using widely available data sets as inputs.  It simulates time series (daily or hourly) of river flow, temperature, nutrient and sediment concentrations, chlorophyll (algal biomass) and dissolved oxygen.  When run in hourly mode it can also be used to estimate ecosystem metabolism which represents the balance between photosynthesis and respiration.  In this way it provides an integrated measure of the health of the river ecosystem, as well as information about pollutant concentrations which can be related directly to regulatory standards.  The model represents the branching in river networks, and directly includes the influences of tributaries, abstractions, effluents and weirs.","infrastructureCategory":["Environmental models"],"infrastructureChallenge":["Pollution"],"infrastructureClass":["Digital infrastructures"],"metadataDate":"2025-04-04T11:52:47.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/906ea32c-1005-45a2-afbe-86619e8bc45f"],"resourceType":"Science infrastructure","scienceArea":"Pollution","shortenedDescription":"QUESTOR simulates water quality in rivers to understand changing water quality and ecosystem health under past and present conditions.  It is used: (1) to predict how river water quality will respond to climate change; and (2) to predict how river water quality will…","state":"published","title":"QUality Evaluation and Simulation TOol for River systems (QUESTOR)","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"The FABLE Calculator is a land-use model that simulates pathways towards sustainable land-use and food systems.  Country-specific models are linked together to enable national teams to explore the part they can play in meeting national and global sustainability policy ambitions (for food security, climate and biodiversity) whilst taking account of trade constraints.","documentType":"infrastructurerecord","identifier":"a5850ba0-a912-4436-9178-8031226f8afc","incomingCitationCount":0,"infrastructureCapabilities":"The FABLE Calculator is an open-source, demand-driven accounting tool in Excel that enables rapid and transparent simulation of pathways towards sustainable land use and food systems.  It focuses on agriculture as the main driver of land-use change and includes 88 raw and processed agricultural products from the crop and livestock sectors.  User-defined scenario assumptions are generated to explore the impact of different policies and drivers on the level of agricultural activity, land-use change, food consumption, trade (imports and exports), greenhouse gas (GHG) emissions, water use, and biodiversity conservation in five-year timesteps from 2000 to 2050.       ","infrastructureCategory":["Environmental models"],"infrastructureChallenge":["Sustainable ecosystems: biodiversity net gain"],"infrastructureClass":["Digital infrastructures"],"metadataDate":"2025-04-09T09:24:17.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a5850ba0-a912-4436-9178-8031226f8afc"],"resourceType":"Science infrastructure","scienceArea":"Soils and Land Use","shortenedDescription":"The FABLE Calculator is a land-use model that simulates pathways towards sustainable land-use and food systems.  Country-specific models are linked together to enable national teams to explore the part they can play in meeting national and global sustainability policy…","state":"published","title":"Food, Agriculture, Biodiversity, Land-use and Energy (FABLE) Calculator","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"City Explorer Toolkit predicts the benefits of different green and blue spaces, such as parks and ponds, in urban settings.  It allows planners to to develop sustainable cities by quantifying the benefits of green and blue infrastructure (such as cooling on a hot day, improved air quality, and noise reduction) anywhere in a city to ensure they are received by the people who need them most.","documentType":"infrastructurerecord","identifier":"7a548ac4-06bd-4e4f-9e6a-6d921315747d","incomingCitationCount":0,"infrastructureCapabilities":"City Explorer Toolkit is an interactive, GIS-based decision-support tool.  It dynamically calculates a range of benefits for city residents provided by existing or planned green infrastructures.  It incorporates modules that can currently calculate: air pollution removal; hot-day cooling; and surface flood risk; with more modules are in development. ","infrastructureCategory":["Environmental models"],"infrastructureChallenge":["Sustainable ecosystems: biodiversity net gain"],"infrastructureClass":["Digital infrastructures"],"metadataDate":"2025-04-09T09:24:17.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7a548ac4-06bd-4e4f-9e6a-6d921315747d"],"resourceType":"Science infrastructure","scienceArea":"Soils and Land Use","shortenedDescription":"City Explorer Toolkit predicts the benefits of different green and blue spaces, such as parks and ponds, in urban settings.  It allows planners to to develop sustainable cities by quantifying the benefits of green and blue infrastructure (such as cooling on a hot day,…","state":"published","title":"City Explorer Toolkit","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"The purpose of the Microplastics Analysis Facility is to detect the presence of plastics in the environment so that researchers can understand their fate, bioavailability and interactions with wildlife. This research helps governments, consumers and industry to tackle the growing pollution and harm caused by plastic litter and microplastic particles in the environment - in our soils, freshwaters, oceans and food chains.","documentType":"infrastructurerecord","identifier":"1be49103-55a9-4323-97c4-7f5fb74efd3b","incomingCitationCount":0,"infrastructureCapabilities":"The Microplastics Analysis Facility is equipped to analyse and identify plastic particles using: Imaging FTIR (Fourier-transform infrared spectroscopy); Laser Directed Infrared (LDIR) microscopy; Raman microscopy; nanosight nanoparticle tracking; flow cytometry. UKCEH scientists are currently contributing to the production of ISO standards for the sampling, processing and analysis of microplastics from a range of environmental matrices.","infrastructureCategory":["Analysis labs"],"infrastructureChallenge":["Pollution"],"infrastructureClass":["Analytical facilities"],"locations":["POINT(-1.1109 51.60257)"],"metadataDate":"2025-10-09T13:09:38.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1be49103-55a9-4323-97c4-7f5fb74efd3b"],"resourceType":"Science infrastructure","scienceArea":"Pollution","shortenedDescription":"The purpose of the Microplastics Analysis Facility is to detect the presence of plastics in the environment so that researchers can understand their fate, bioavailability and interactions with wildlife. This research helps governments, consumers and industry to tackle…","state":"published","title":"Microplastics Analysis Facility","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"The purpose of the Conwy Research Catchment Observatory is to study landscape-scale processes for water, soil and vegetation across a whole river catchment - encompassing an array of land use and soil types from upland mountains and moors to the river-estuary transition zone (RETZ) and coast.  This observatory contributes to the Upland Water Monitoring Network (listed separately below) and also provides an experimental research platform.  It is increasingly recognised that the emergent properties of flows at the landscape and catchment scale are critical to understand landscape scale processes and to inform effective environmental management.","documentType":"infrastructurerecord","identifier":"7070c1a9-7f29-4e3e-b191-b4e21fbd1755","incomingCitationCount":0,"infrastructureCapabilities":"The Conwy Research Catchment is currently equipped to provide meteorological and water quality measurements throughout the catchment area from upland to coast.  Other instruments and surveys can be deployed for specific research projects, for example to measure greenhouse gas emissions, net primary productivity, soil properties and functions, and more.  The sub-catchment network  encompasses a regionally representative gradient of soils, land cover, land use and land use intensity.","infrastructureCategory":["Instrumented sites"],"infrastructureChallenge":["Pollution"],"infrastructureClass":["Environmental observatories"],"infrastructureScale":"Landscape or catchment","locations":["MULTIPOLYGON(((-3.8632232379 53.3417035223, -3.8694481597 53.3428737179, -3.8800393618 53.3391382836, -3.8780569372 53.3333261936, -3.863290951 53.3284421727, -3.8576566453 53.3249162044, -3.8461523016 53.3203390382, -3.8444506925 53.3181359992, -3.8434989885 53.3089448629, -3.8406561878 53.3056624378, -3.838024668 53.2957600008, -3.8304151808 53.2936112768, -3.8278285979 53.2903156407, -3.8292374905 53.2930898999, -3.8214848849 53.2882552099, -3.822950303 53.2867405421, -3.8188289641 53.2832973532, -3.8230949323 53.2813174239, -3.8215039762 53.2805953533, -3.8161338565 53.2830685288, -3.7988175887 53.2786473275, -3.7967728522 53.2767456837, -3.7983313142 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UWMN is closely aligned with other specialist long-term UKCEH upland water monitoring activities, particularly the Conwy and Plynlimon Research Catchments.","infrastructureCategory":["Instrumented sites"],"infrastructureChallenge":["Pollution"],"infrastructureClass":["Environmental observatories"],"infrastructureScale":"UK","metadataDate":"2025-04-09T09:24:37.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue-staging.ceh.ac.uk/id/9f35435c-9320-4cd8-874d-7dd503aa7797","https://catalogue.ceh.ac.uk/id/0d588453-31ab-4eeb-91a1-cf9cd2a9f387"],"resourceType":"Science infrastructure","scienceArea":"Water Resources","shortenedDescription":"The purpose of the Upland Waters Monitoring Network (UWMN) is to monitor water quality and biodiversity in upland water bodies threatened by air pollution, climate change and land use change.  Upland waters provide much of the UK's drinking water and act as a refuge…","state":"published","title":"Upland Waters Monitoring Network","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"The purpose of the NRFA is to collate, quality control, and archive hydrometric data from gauging station networks across the UK including the extensive networks operated by the Environment Agency (England), Natural Resources Wales, the Scottish Environment Protection Agency and for Northern Ireland, the Department for Infrastructure - Rivers.  The National River Flow Archive (NRFA) is the UK’s focal point for river flow data.  The NRFA is complemented by the National Hydrological Monitoring Programme (NHMP), which provides authoritative commentary on current hydrological conditions and the status of water resources.","documentType":"infrastructurerecord","identifier":"6be51cee-fd5a-4a69-b313-a61ac98064f6","incomingCitationCount":0,"infrastructureCapabilities":"The NRFA acts as the main focal point for hydrometric data in the UK, providing stewardship of, and access to, daily, monthly and flood peak river flow data from over 1,500 gauging stations across the UK.  The NRFA collates, quality controls, and archives hydrometric data from gauging station networks across the UK including the extensive networks operated by the main UK Measuring Authorities; the Environment Agency (England), Natural Resources Wales, the Scottish Environment Protection Agency and for Northern Ireland, the Department for Infrastructure - Rivers. NRFA data also include catchment rainfall totals, derived from Met Office data, and various spatial data sets (e.g. digital elevation data, land cover, geology and hydrogeology), developed by the UK Centre for Ecology & Hydrology (UKCEH) and the British Geological Survey (BGS).  The NRFA supports the hydrometric monitoring activities of our partner organisations and offers independent, authoritative commentary on issues related to river flow measurement.","infrastructureCategory":["Environmental data and information"],"infrastructureChallenge":["Climate change: adaptation","Pollution"],"infrastructureClass":["Digital infrastructures"],"metadataDate":"2025-04-09T09:24:17.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6be51cee-fd5a-4a69-b313-a61ac98064f6"],"resourceType":"Science infrastructure","scienceArea":"Water Resources","shortenedDescription":"The purpose of the NRFA is to collate, quality control, and archive hydrometric data from gauging station networks across the UK including the extensive networks operated by the Environment Agency (England), Natural Resources Wales, the Scottish Environment Protection…","state":"published","title":"National River Flow Archive (NRFA)","version":1.0,"view":["public","naj"]},{"catalogue":"infrastructure","description":"The purpose of the Nutrient Chemistry Laboratories is to analyse water samples for a range of water quality and nutrients, providing high quality data for the Thames Initiative project and associated collaborations.","documentType":"infrastructurerecord","identifier":"cadc0198-8e19-4c35-9902-74f0693a9d03","incomingCitationCount":0,"infrastructureCapabilities":"The Nutrient Chemistry Labs are staffed and equipped to analyse and measure: Phosphorus (total, dissolved, soluble reactive); Nitrogen (total dissolved, NO3, NO2, NH4); Dissolved silicon; Dissolved organic carbon (DOC); Major anions (F, Cl, Br, SO4); Chlorophyll-a ; Suspended solids; pH; Gran Alkalinity; Conductivity.  All sample batches are run alongside external quality control standards (Aquacheck system).","infrastructureCategory":["Test labs"],"infrastructureChallenge":["Pollution"],"infrastructureClass":["Analytical facilities"],"metadataDate":"2025-04-09T09:24:49.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue-staging.ceh.ac.uk/id/6170daad-34df-4522-905a-38825205d42f","https://catalogue.ceh.ac.uk/id/cadc0198-8e19-4c35-9902-74f0693a9d03"],"resourceType":"Science infrastructure","scienceArea":"Water Resources","shortenedDescription":"The purpose of the Nutrient Chemistry Laboratories is to analyse water samples for a range of water quality and nutrients, providing high quality data for the Thames Initiative project and associated collaborations.","state":"published","title":"Nutrient Chemistry Laboratories","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"MADOC predicts the effects of nitrogen and sulphur deposition (from air pollution) on soil acidity and carbon uptake and/or emissions.  It is used by researchers to project future impacts of, and recovery from, air pollution on ecosystems and ecosystem services, such as: (1) acidification and eutrophication (for Defra); (2) biodiversity (here MADOC is coupled to MultiMOVE: see separate entry); (3) heavy metal solubility and soil concentrations (here MADOC is coupled to IDMM: see separate entry).","documentType":"infrastructurerecord","identifier":"0504a896-a971-41ce-ab67-449bf2b49b80","incomingCitationCount":0,"infrastructureCapabilities":"MADOC is a process model based on observations and understanding of how soil behaves in response to nitrogen and sulphur inputs.   It predicts effects on soil pH (acidity) and dissolved organic carbon flux.  MADOC is a dynamic integration of three component models: the UKCEH N14CP model (see separate entry) to simulate organic matter dynamics; Very Simple Dynamic model (VSD developed by Max Posch of IAASA) to simulate cation exchange; and the UKCEH DyDOC model (Dynamics of Dissolved Organic Carbon developed by Ed Tipping) to simulate dissolved organic carbon flux.  MADOC can be coupled to other models to study impacts on biodiversity (see MultiMOVE entry) and toxic metals (see IDMM entry).","infrastructureCategory":["Environmental models"],"infrastructureChallenge":["Pollution","Climate change: mitigation"],"infrastructureClass":["Digital infrastructures"],"metadataDate":"2025-04-09T09:24:37.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0504a896-a971-41ce-ab67-449bf2b49b80"],"resourceType":"Science infrastructure","scienceArea":"Soils and Land Use","shortenedDescription":"MADOC predicts the effects of nitrogen and sulphur deposition (from air pollution) on soil acidity and carbon uptake and/or emissions.  It is used by researchers to project future impacts of, and recovery from, air pollution on ecosystems and ecosystem services, such…","state":"published","title":"Model of Acidity Dynamics and Organic Carbon (MADOC)","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"The purpose of the UKCEH Analytical Chemistry Lab Service is to offer state-of-the-art analysis of environmental samples.  The labs combine routine analyses with innovation and maintain high quality standards.  The labs also provide continuity of analyses to UKCEH's long term-projects, advice to colleagues and training and support to PhD students.","documentType":"infrastructurerecord","identifier":"add993d4-b06b-462a-9b7a-fc4af9ef9945","incomingCitationCount":0,"infrastructureCapabilities":"The Analytical Chemistry Lab Service provides a dedicated and highly skilled group of analysts, advanced analytical technology and high quality standards (UKAS-accredited to ISO17025:2017).  We carry out chemical analyses in a wide range of matrices including: water, soils, air, animals, plants.  We analyse chemical parameters such as: (i) pH, conductivity; (ii) nutrients – Dissolved Organic Carbon (DOC), Total Nitrogen (TN), phosphates, anions; (iii) trace metals, metal nanoparticles; (iv) organic compounds and pesticides such as polychlorinated biphenyls (PCBs), Polybrominated diphenyl ethers (PBDEs), perfluorinated compounds (PFCs), rodenticides, algal toxins; and (v) stable isotopes in solid and gases samples.  We can now analyse and quantify more than 100 pesticides.","infrastructureCategory":["Analysis labs"],"infrastructureChallenge":["Pollution"],"infrastructureClass":["Analytical facilities"],"locations":["POINT(-2.78766 54.00929)"],"metadataDate":"2025-04-09T09:24:28.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue-staging.ceh.ac.uk/id/80a81437-58a3-4476-9af9-ea159479c3f4","https://catalogue.ceh.ac.uk/id/add993d4-b06b-462a-9b7a-fc4af9ef9945"],"resourceType":"Science infrastructure","scienceArea":"Pollution","shortenedDescription":"The purpose of the UKCEH Analytical Chemistry Lab Service is to offer state-of-the-art analysis of environmental samples.  The labs combine routine analyses with innovation and maintain high quality standards.  The labs also provide continuity of analyses to UKCEH's…","state":"published","title":"Analytical Chemistry Lab Service : Lancaster Hub","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"EMEP4UK provides UK atmospheric chemistry forecasts, linked to weather forecasts, to predict the transport and deposit of pollutants carried by air.  It is used by weather and pollution forecasters, government agencies and researchers to monitor air pollution risks. ","documentType":"infrastructurerecord","identifier":"9ae81c6b-fb6b-40b9-b9bf-5294a8b04b61","incomingCitationCount":0,"infrastructureCapabilities":"EMEP4UK is an atmospheric chemistry transport model (ACTM) that uses process understanding to simulate and predict atmospheric composition, transport and deposition (dry and wet) of pollutants, including: particulate matter (PM10, PM2.5); seondary organic aerosols (SOA); secondary inorganic aerosols (SIA); elemental carbon (EC); sulphur dioxide (SO2); ammonia (NH3); nitorogen oxides (NOx) and ozone O3).  It models surface and 3D concentrations of pollutants for the UK with horizontal resolutions from 1km to 100km (typically 3x3km2 grid) at hourly intervals (and can calculate annual averages).  The Weather Research Forecast Model (WRF) is used to calculate the required meteorological input data for the ACTM.","infrastructureCategory":["Environmental models"],"infrastructureChallenge":["Pollution"],"infrastructureClass":["Digital infrastructures"],"metadataDate":"2025-04-09T09:24:49.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9ae81c6b-fb6b-40b9-b9bf-5294a8b04b61"],"resourceType":"Science infrastructure","scienceArea":"Atmospheric Chemistry and Effects","shortenedDescription":"EMEP4UK provides UK atmospheric chemistry forecasts, linked to weather forecasts, to predict the transport and deposit of pollutants carried by air.  It is used by weather and pollution forecasters, government agencies and researchers to monitor air pollution risks.…","state":"published","title":"European Monitoring and Evaluation Programme (EMEP4UK) UK arm of the Meteorological Synthesizing Centre-West (MSC-W)","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"The purpose of the River Thames Initiative is to study how England's largest river functions under growing pressures from rapid population growth, intensive agriculture, climate change and water resource challenges.  River quality in the Thames basin, including its tributaries, ranges from good in its rural upper reaches to poor as it passes through urban centres housing a fifth of the UK population.  The lower Thames is heavily impacted by sewage and other pollution.  The River Thames Initiative enables chemical and biological monitoring throughout the basin to provide data that is used for research and river management involving water quality and pollution from agricultural run-off and wastewater sewage (including nutrients, dissolved metals, pharmaceuticals and nanoparticles).  It also provides an experimental test-bed or 'living laboratory' for: trials of natural flood management and flood relief schemes; and for technological innovation and testing of in-situ water quality analysers.","documentType":"infrastructurerecord","identifier":"94a45431-090c-4a47-8cbf-e22bcfa2d014","incomingCitationCount":0,"infrastructureCapabilities":"The River Thames Initiative uses 23 sampling sites, distributed across the main river and its tributaries, to measure a suite of water quality properties including: chemical water quality, algal phytoplankton and nutrient concentrations at weekly interval, plus periodic surveys for organic pollutants (pharmaceuticals, pesticides). It also includes hourly water quality and nutrient analyses at the Taplow automatic monitoring station. Additional measurement capabilities are available for natural flood management trials including water flow, sediment pollution and more.","infrastructureCategory":["Instrumented sites"],"infrastructureChallenge":["Pollution"],"infrastructureClass":["Environmental observatories"],"infrastructureScale":"Landscape or catchment","metadataDate":"2025-04-09T09:24:26.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue-staging.ceh.ac.uk/id/aa0b3c88-bb67-4354-a8f8-299258f5b759","https://catalogue.ceh.ac.uk/id/94a45431-090c-4a47-8cbf-e22bcfa2d014"],"resourceType":"Science infrastructure","scienceArea":"Water Resources","shortenedDescription":"The purpose of the River Thames Initiative is to study how England's largest river functions under growing pressures from rapid population growth, intensive agriculture, climate change and water resource challenges.  River quality in the Thames basin, including its…","state":"published","title":"The River Thames Initiative","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"OPRAS predicts the formation and loss of organic matter and pores in soils.  It is used by researchers to predict changes in soil carbon and water-holding capacity in response to climate, nutrient inputs, and notably to soil drainage and re-wetting.","documentType":"infrastructurerecord","identifier":"70c31779-4ccd-4e88-b852-2bf6ac9581bb","incomingCitationCount":0,"infrastructureCapabilities":"OPRAS is a dynamic process model that predicts the formation and loss of soil organic matter, pores and water-holding capacity in soils across the mineral - organomineral - peat continuum.  It integrates soil biogeochemistry and hydrology processes to predict changes in soil carbon and porosity on the basis of the fundamental mechanisms that protect soil organic matter (SOM): Sorption, Occlusion and Hypoxia.  OPRAS links to TopModel to predict the effects of land-management on catchment-scale streamflow.  For the NERC-AHRC project \"PARAGUAS\" (PÁRamos para AGUA y Sociedád), OPRAS was linked to a physically based catchment hydrology model (TopModel) to predict the effects of land-management on catchment-scale streamflow.  TopModel is a well-established and openly available model: https://cran.r-project.org/web/packages/topmodel/index.html.\n\nNote that OPRAS is not part of the UKCEH N14CP family of models; it is based on different principles.","infrastructureCategory":["Environmental models"],"infrastructureChallenge":["Pollution","Climate change: mitigation"],"infrastructureClass":["Digital infrastructures"],"metadataDate":"2025-04-09T09:24:47.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/70c31779-4ccd-4e88-b852-2bf6ac9581bb"],"resourceType":"Science infrastructure","scienceArea":"Soils and Land Use","shortenedDescription":"OPRAS predicts the formation and loss of organic matter and pores in soils.  It is used by researchers to predict changes in soil carbon and water-holding capacity in response to climate, nutrient inputs, and notably to soil drainage and re-wetting.","state":"published","title":"Organic matter Protection through low Redox, Aggregation and Sorption (OPRAS)","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"The purpose of the Mobile AQ Labs is to measure air quality, pollution sources, emissions and depositions.  They can be deployed in flexible combinations for field-campaigns in different ecosystems and above urban areas.","documentType":"infrastructurerecord","identifier":"3cc37dfe-f260-4cd6-bb74-7fc552de02da","incomingCitationCount":0,"infrastructureCapabilities":"Three mobile laboratories are housed in a 4x4 Mercedes Sprinter Van, a Chill trailer and an 8ft sea container; all insulated and feature air-conditioning and electrical installations that can be connected to a local power supplies.  The Van also has a 7500 watt on-board generator and a 19” instrument rack with fold-out table.  They can be used to analyse and quantify: pollutants in gas and aerosol phase; pollution sources and apportionment; emission and deposition fluxes.  On-board equipment includes:\n- Gradient system for inorganic reactive gases and aerosols (MARGAFIA)\n- Fast response gas analysers for flux measurements of VOCs (PTR-QiToFMS), O3 (ROFI), NH3, CH4, N2O, NO2, CO, CO2 (QCLs), CO2/H2O (LiCOR Infrared gas analysers)\n- Fast response aerosol analysers for chemically speciated aerosol (HR-ToF-AMS) and (size-segregated) particle number measurement (TSI CPCs, TSI APS, DMT UHSAS)\n- Slow-response gas analysers for O3, SO2, NOx and NH3\n- Ultrasonic anemometers\n- A range of sensors for auxiliary measurements of meteorological, plant and soil conditions.","infrastructureCategory":["Mobile observing platforms"],"infrastructureChallenge":["Pollution"],"infrastructureClass":["Environmental observatories"],"metadataDate":"2025-04-09T09:24:27.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue-staging.ceh.ac.uk/id/39fa64e1-fb3e-4c4f-ba55-3c0a989fb3f0","https://catalogue.ceh.ac.uk/id/3cc37dfe-f260-4cd6-bb74-7fc552de02da"],"resourceType":"Science infrastructure","scienceArea":"Atmospheric Chemistry and Effects","shortenedDescription":"The purpose of the Mobile AQ Labs is to measure air quality, pollution sources, emissions and depositions.  They can be deployed in flexible combinations for field-campaigns in different ecosystems and above urban areas.","state":"published","title":"Mobile Air Quality and Flux Measurement Labs","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"The purpose of the Monks Wood Hedgerow Experiment is to study the effects of different management regimes on experimental hedgerows planted in 1961.  Hedgerows provide important semi-natural habitat and resources for wildlife in agricultural landscapes.  Hedgerow management can substantially alter the condition of hedges and their value as wildlife habitats.  For example, farmland birds and mammals rely on berries as a food source over winter, but most hedgerow species only flower and fruit on wood that is at least two years old.  The Hedgerow Management Experiment provides scientific evidence on hedgerow management for policy-makers and land managers.","documentType":"infrastructurerecord","identifier":"0c97b767-7707-46d9-9cd9-f7e9ee1d7332","incomingCitationCount":0,"infrastructureCapabilities":"Experimental hedges were planted in 1961 at Monks Wood on former arable land.  The arable land was converted to grassland and subsequently managed by a mixture of hay cutting and topping, plus occasional extensive livestock grazing, with no fertiliser or pesticide inputs.  The hedgerows were managed by autumn or winter cutting on a 1 or 2 year cycle to maintain them at a height of 2–3 m.  In autumn 2005 three hedgerows were divided into 32 contiguous plots of 15 m length.  The following management treatments were allocated to plots at random in factorial combinations: (1) frequency of cutting (annual vs. biennial vs. triennial), and (2) timing of cutting (autumn September vs. winter January/February).  In addition, we monitored two unmanaged plots that had not been cut for 15 + years, and were never cut during the current experiment.  Each treatment combination of cutting frequency and timing was replicated either eight (for annually cut plots) or four times (for biennial and triennially cut plots).","infrastructureCategory":["Field research platforms"],"infrastructureChallenge":["Sustainable ecosystems: biodiversity net gain"],"infrastructureClass":["Environmental experiment platforms"],"infrastructureScale":"Area, city, farm, habitat","locations":["POINT(-0.2357 52.4026)"],"metadataDate":"2025-04-09T09:24:27.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue-staging.ceh.ac.uk/id/ce0d61d9-cf73-4efd-844b-cbb36b535182","https://catalogue.ceh.ac.uk/id/0c97b767-7707-46d9-9cd9-f7e9ee1d7332"],"resourceType":"Science infrastructure","scienceArea":"Biodiversity","shortenedDescription":"The purpose of the Monks Wood Hedgerow Experiment is to study the effects of different management regimes on experimental hedgerows planted in 1961.  Hedgerows provide important semi-natural habitat and resources for wildlife in agricultural landscapes.  Hedgerow management…","state":"published","title":"Monks Wood Hedgerow Experiment","version":1.0,"view":["public","phtr"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/infrastructure/documents?facet=infrastructureChallenge%7C(Sustainable%20ecosystems:%20biodiversity%20net%20gain%20OR%20Pollution)"}