Resource type
CaMMP Issues
Data Type
Scale
Topic
Water Pollutant
12 records found
DTT (Dynamic Typology Tool)
more to come
Case Study 1: Multiple pollutant and ecosystem services responses to land management policies and agri-environment interventions at the farm to catchment scale.
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.
INCA-P (Integrated Catchments Model - Phosphorus dynamics)
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...
QUESTOR (Quality Evaluation and Simulation Tool for River Systems)
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 confluences, diffuse (catchment) sources, discharge points, abstraction points, monitoring...
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.
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;...
FARMSCOPER (Farm Scale Optimisation of Pollutant Emission Reductions)
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...
Case Study 2: Effectiveness of land management policies and agri-environment interventions for reducing pollutant loads and maintaining environmental quality at the national scale.
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)...
LUCI (Land Utilisation & Capability Indicator)
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...
SEPARATE (SEctor Pollutant AppoRtionment for the AquaTic Environment)
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...
SAGIS (Source Apportionment GIS)
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...
Case Study 4: Effectiveness of pollution control measures under scenarios of future climate and land cover change at the catchment scale.
Despite the uncertainty in future climate and land use, large-scale measures put in place today to improve water quality are likely to remain effective in the future in northeast Scotland. Dynamic models can provide useful indications of the likely lag time between...
Case Study 5: Uncertainty in ecological responses to water quality control measures at the river basin scale.
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...