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IMIXSED

Integrating isotopic techniques with Bayesian modelling for improved assessment and management of global sedimentation problems

Total Cost €

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EC-Contrib. €

0

Partnership

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 IMIXSED project word cloud

Explore the words cloud of the IMIXSED project. It provides you a very rough idea of what is the project "IMIXSED" about.

ecosystem    supply    catchment    mixsiar    credible    complexity    water    threatens    global    provenance    severely    agriculture    translocation    world    hep    siltation    transfer    african    limits    tracer    appropriately    joint    downstream    asian    cutting    of    capture    catchments    dams    central    atomic    strengths    back    data    basin    game    residence    tool    security    powerful    statistics    service    reservoirs    mobilisation    combat    models    apportionment    scientists    edge    diffuse    pollution    showcased    river    led    originates    source    datasets    soil    threats    agency    un    energy    isotopic    quantitative    opportunity    dynamics    channels    inform    primary    statistical    brings    nuclear    food    international    conventional    driver    north    american    power    organisation    silt    variability    nutrient    sophistication    shown    bayesian    provision    trace    coordinated    quantify    space    sediment    threat    lakes    marry    techniques    critical    biogeochemical    ecological    time    slopes   

Project "IMIXSED" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY OF PLYMOUTH 

Organization address
address: DRAKE CIRCUS
city: PLYMOUTH
postcode: PL4 8AA
website: www.plymouth.ac.uk

contact info
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name: n.a.
surname: n.a.
function: n.a.
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 Coordinator Country United Kingdom [UK]
 Project website https://www.plymouth.ac.uk/schools/school-of-geography-earth-and-environmental-sciences/imixsed-project
 Total cost 288˙000 €
 EC max contribution 288˙000 € (100%)
 Programme 1. H2020-EU.1.3.3. (Stimulating innovation by means of cross-fertilisation of knowledge)
 Code Call H2020-MSCA-RISE-2014
 Funding Scheme MSCA-RISE
 Starting year 2015
 Duration (year-month-day) from 2015-07-01   to  2017-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY OF PLYMOUTH UK (PLYMOUTH) coordinator 90˙000.00
2    UNIVERSITEIT GENT BE (GENT) participant 90˙000.00
3    THE UNIVERSITY OF LIVERPOOL UK (LIVERPOOL) participant 72˙000.00
4    AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS ES (MADRID) participant 36˙000.00
5    JIMMA UNIVERSITY ET (JIMMA) partner 0.00
6    KATHMANDU UNIVERSITY NP (Kathmandu) partner 0.00
7    THE NELSON MANDELA AFRICAN INSTITUTE OF SCIENCE AND TECHNOLOGY TZ (ARUSHA) partner 0.00
8    THE REGENTS OF THE UNIVERSITY OF CALIFORNIA US (OAKLAND CA) partner 0.00

Map

 Project objective

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.

 Deliverables

List of deliverables.
Catchment reports Documents, reports 2019-03-05 17:43:52
Workshop presentations Other 2019-02-25 11:56:04
IMIXSED approach guidance and technical manual Documents, reports 2019-02-25 11:56:03
MixSIAR sediment manual Documents, reports 2019-03-05 17:43:00

Take a look to the deliverables list in detail:  detailed list of IMIXSED deliverables.

 Publications

year authors and title journal last update
List of publications.
2017 Hari R. Upadhayay, Samuel Bodé, Marco Griepentrog, Dries Huygens, Roshan M. Bajracharya, William H. Blake, Gerd Dercon, Lionel Mabit, Max Gibbs, Brice X. Semmens, Brian C. Stock, Wim Cornelis, Pascal Boeckx
Methodological perspectives on the application of compound-specific stable isotope fingerprinting for sediment source apportionment
published pages: 1537-1553, ISSN: 1439-0108, DOI: 10.1007/s11368-017-1706-4
Journal of Soils and Sediments 17/6 2019-05-30

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The information about "IMIXSED" are provided by the European Opendata Portal: CORDIS opendata.

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