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IMIXSED

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Integrating isotopic techniques with Bayesian modelling for improved assessment...

Integrating isotopic techniques with Bayesian modelling for improved assessment and management of global sedimentation problems This international RISE programme brings together EU, North American, African and Asian scientists to deliver a powerful tool for sediment management. Siltation of river channels, lakes and reservoirs presents a credible threat to... ver más

30/06/2017

UOP

288K€

Presupuesto del proyecto: 288K€

Líder del proyecto

UNIVERSITY OF PLYMOUTH No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

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Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2017-06-30

MSCA-RISE-2014: Marie Skłodowska-Curie Research and...

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12 Participantes

UOP

90.00K€ | Lider

UGent

90.00K€ | Participante

JIMMA UNIVERSITY

THE NELSON MANDELA AFRICAN I...

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Duración del proyecto: 31 meses Fecha Inicio: 2014-11-19
Fecha Fin: 2017-06-30

Líder del proyecto

UNIVERSITY OF PLYMOUTH No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 288K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto This international RISE programme brings together EU, North American, African and Asian scientists to deliver a powerful tool for sediment management. Siltation of river channels, lakes and reservoirs presents a credible threat to river basin ecosystem service provision and water security. River silt originates in the catchment and the primary driver for mobilisation and translocation downstream is agriculture where loss of soil from slopes threatens food security. Knowledge of sediment source, transfer and residence time dynamics is critical to inform management for future food and water security and cutting-edge nuclear techniques have been developed in a joint UN Food and Agriculture Organisation and International Atomic Energy Agency Coordinated Research Programme to trace river silt back to source. However, the game change in isotopic biogeochemical tracer sophistication has led to a step change in data complexity. While these datasets capture real world complexity in time and space, the conventional statistical approaches to quantify sediment provenance from the tracer data do not. This severely limits the power of isotopic techniques for sediment source apportionment. Advances in ecological source apportionment models based on Bayesian statistics, however, present opportunity. New models, i.e. MixSIAR, have been shown to appropriately address such variability in a quantitative way and, if tailored to river basin sediment tracer data offer to address the above challenge. The central goal is to marry together the strengths of isotopic sediment tracer technology in the EU with ecological source apportionment models developed by North American scientists to deliver a powerful tool to combat threats to global food and water security. The tool will be showcased through its application in water-supply catchments where diffuse sediment and nutrient pollution from agriculture threatens food, water and, through siltation of of HEP dams, energy security.

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