Opendata, web and dolomites

WaterfallModel3D SIGNED

Controls on knickpoint migration and consequences for landscape evolution: experimental and numerical modelling

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "WaterfallModel3D" data sheet

The following table provides information about the project.

Coordinator
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS 

Organization address
address: RUE MICHEL ANGE 3
city: PARIS
postcode: 75794
website: www.cnrs.fr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Project website https://waterfallmodel3d.wordpress.com/
 Total cost 173˙076 €
 EC max contribution 173˙076 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2016
 Duration (year-month-day) from 2016-06-01   to  2018-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS FR (PARIS) coordinator 173˙076.00

Map

 Project objective

As the link between the fluvial network and hillslopes, bedrock channels mediate the response of the landscape to changing boundary conditions, such as tectonics and climate through migrating ‘knickzones’ or ‘knickpoints’, yet the complexities of the mechanisms of knickpoint retreat are often ignored in studies of landscape evolution. This fellowship aims to understand the controls on knickpoint retreat rate and explore the implications for landscape evolution (e.g. channel-hillslope coupling) and other processes that respond through an ‘upstream incision wave’ such as gully erosion, using a range of complementary experimental and numerical modelling approaches. The experimental modelling will isolate the impact of different controls (discharge, knickpoint erosion mechanism, bedrock strength, sediment flux) on knickpoint retreat which will be used to develop an understanding of the key factors that can be used to predict knickpoint retreat through landscapes. This understanding will then be implemented in the numerical landscape evolution code €ros, through the adaptation of the parameters that control knickpoint retreat (currently based on the stream-power incision model assumption that knickpoint retreat scales with drainage area). The model will be run on several mountain landscapes ranging from areas where previous work has identified a strong correlation between knickpoint retreat rate and discharge/drainage area (e.g. New Zealand) to study areas where other factors are thought to be more dominant in controlling the retreat rate (e.g. Iceland). This will improve the understanding of how these landscapes have responded to changes in past changes tectonic/climate forcing, and can also be used to predict how the landscapes will respond to future transient forcing over short and long timescales.

 Publications

year authors and title journal last update
List of publications.
2018 Edwin R.C. Baynes, Dimitri Lague, Jean-Jacques Kermarrec
Supercritical river terraces generated by hydraulic and geomorphic interactions
published pages: , ISSN: 0091-7613, DOI: 10.1130/g40071.1
Geology 2019-06-13

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "WATERFALLMODEL3D" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "WATERFALLMODEL3D" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.2.)

POLINFO (2020)

Information encoding to polymers

Read More  

THE CROSSMODAL BRAIN (2020)

Neural mechanisms of crossmodal activity in blind and sighted individuals

Read More  

DGLC (2019)

Domain-general language control: Evidence from the switching paradigm

Read More