INCA (INtegrated CAtchement Model)

INCA is a processed based dynamic model representation of plant/soil system dynamics and instream biogeochemical and hydrological dynamics. The INCA model has been used to assess a wide range of environmental change issues in catchments including land use change, climate change and changing pollution environments including point and diffuse pollution.

processed baseddynamicplantsoilbiogeochemical

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Contributor(s)

Initial contribute: 2019-10-13

Authorship

:  
University of Oxford
:  
paul.whitehead@ouce.ox.ac.uk
:  
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Classification(s)

Application-focused categoriesNatural-perspectiveLand regions
Application-focused categoriesIntegrated-perspectiveRegional scale

Detailed Description

English {{currentDetailLanguage}} English

Quoted from: http://www.reading.ac.uk/geographyandenvironmentalscience/research/INCA/ 

The INCA model was developed over 12 years as part of 2 EU funded projects (EU- INCA and Eurolimpacs and other projects funded by the Environment Agency, National Power, DEFRA, Natural England, English Heritage, EPSRC, ESRC and NERC, such as the NERC LOCAR project.

Across the European Union there are concerns about a wide range of pollutants that affect water resource systems as well as environmental change such as land use change and climate change. With the EU Cap and Farming reforms there has been changing agriculture and land use, and this will continue into the future. Also, the Water Framework Directive will drive new policy over the next 10 years. Also climate change is beginning to alter hydrological regimes and temperatures and this will affect water resources, river ecology, agriculture, terrestrial ecosystems and land use. For example, nitrogen (N) in lowland and upland fresh water systems can cause eutrophication, leading to rapid aquatic plant growth. Such increases in growth are often viewed as a nuisance as certain plant species may grow at the expense of others and, within freshwaters, the microbial breakdown of the dead plant matter can lower oxygen levels which is detrimental to invertebrate and fish populations. The problems of freshwater eutrophication are usually associated with lowland, intensively farmed areas where fertilisers provide a significant source of N and P and/or urban areas where domestic and industrial effluent is discharged to the receiving watercourse and groundwaters.

Whilst management strategies have been implemented to control N and P in river systems, these have tended to address single issues: either diffuse or point sources, or upland or lowland areas. However, the N concentrations and loads in rivers reflect the integration of the catchment N sources: fertiliser inputs, atmospheric deposition and sewage discharges. Superimposed on these anthropogenic inputs are contributions from the vegetation and mineralisation (and subsequent nitrification) of organic N in soils. Furthermore, the combination of the multiple catchment N sources has a downstream effect, influencing the options for further water utilization and impacting the water quality of estuarine and marine areas. Thus, given the holistic nature of the N problem, an integrated management approach is required.

The INCA suite of models has been developed to support such an integrated approach.

Below contents are quoted from: https://www.watres.com/software/INCA/ 

The model has been applied to a wide range of key European ecosystems.

The INCA model has been developed under EU funded projects (EU- INCA and Eurolimpacs) and other projects funded by the Environment Agency, National Power, DEFRA, Natural England, English Heritage, EPSRC, ESRC and NERC, such as the NERC LOCAR project.
 
inca, wra, water-resource-associates, uk-water-consultants
Prof Paul Whitehead has undertaken an extensive INCA Flow and Water Quality Modelling study in the Ganges, Brahmaputra and Meghna River systems to investigate the impacts of climate change on river discharge, nitrate, ammonia and phosphorus into the future. This is the most complex INCA modelling study that has been attempted and results suggest increased monsoon flows and some reduced dry weather flows, or with extended drought periods. Plus nutrient concentrations would fall due to the extra dilution effects in monsoon periods. The effects of socio-economic change has also been investigated to evaluate the Ganges clean-up plan and to study the impacts of proposed water transfers upstream of Bangladesh. The clean-up plan if implemented would improve the water quality reducing nutrient loads entering Bangladesh. The water transfers would have a major effect, if implemented in full, significantly reducing flows into the delta system and the Bay of Bengal.

Download the Presentation

Read the Published Papers:

Impacts of climate change and socio-economic scenarios on flow and water quality of the Ganges, Brahmaputra and Meghna (GBM) river systems: low flow and flood statistics. P. G. Whitehead et al.

Dynamic modeling of the Ganga river system: impacts of future climate and socio-economic change on flows and nitrogen fluxes in India and Bangladesh, P. G. Whitehead et al.

模型元数据

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P.G. Whitehead (2019). INCA (INtegrated CAtchement Model), Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/7c6216ab-a4e0-455a-bfc2-ef338a7fe271
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History

Last modifier
XU Kai
Last modify time
2020-12-18
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Contributor(s)

Initial contribute : 2019-10-13

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Authorship

:  
University of Oxford
:  
paul.whitehead@ouce.ox.ac.uk
:  
View
Is authorship not correct? Feed back

History

Last modifier
XU Kai
Last modify time
2020-12-18
Modify times

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