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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. €

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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.

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

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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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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