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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.

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

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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