Syvitski Student Modeler Award 2022: Difference between revisions

From CSDMS
Created page with "{{StudentAwards |Year=2022 |Awardee=Postdoc/Fellow, Marco Tangi |Institute=Politecnico di Milano, Italy |Picture=Arye_Janoff.jpg |Narrative=Marco was awarded for his submissio..."
 
No edit summary
Line 3: Line 3:
|Awardee=Postdoc/Fellow, Marco Tangi
|Awardee=Postdoc/Fellow, Marco Tangi
|Institute=Politecnico di Milano, Italy
|Institute=Politecnico di Milano, Italy
|Picture=Arye_Janoff.jpg
|Picture=Marco_Tangi.jpeg
|Narrative=Marco was awarded for his submission “[[http://cascade.deib.polimi.it/ D-CASCADE: a dynamic sediment (dis)connectivity model for strategic river basin planning and management]]”. Modelling network-scale sediment (dis)connectivity and its response to anthropic pressures provides a foundation understanding of river processes and sediment dynamics that can be used to forecast future trajectories of river form and process.
|Narrative=Marco was awarded for his submission “[http://cascade.deib.polimi.it/ D-CASCADE: a dynamic sediment (dis)connectivity model for strategic river basin planning and management]”. Modelling network-scale sediment (dis)connectivity and its response to anthropic pressures provides a foundation understanding of river processes and sediment dynamics that can be used to forecast future trajectories of river form and process.
The basin-scale, dynamic sediment connectivity model D-CASCADE, combines concepts of network modelling with empirical sediment transport formulas to quantify spatiotemporal sediment (dis)connectivity in river networks. The D-CASCADE framework describes sediment connectivity in terms of transfer rate through space and time while accounting for several hydro-morphological and anthropic factors affecting sediment transport.  PhD March 2022 Politecnico di Milano, Advisor: Andrea Castelletti
The basin-scale, dynamic sediment connectivity model D-CASCADE, combines concepts of network modelling with empirical sediment transport formulas to quantify spatiotemporal sediment (dis)connectivity in river networks. The D-CASCADE framework describes sediment connectivity in terms of transfer rate through space and time while accounting for several hydro-morphological and anthropic factors affecting sediment transport.  PhD March 2022 Politecnico di Milano, Advisor: Andrea Castelletti
* Tangi, M., Bizzi, S., Fryirs, K., Castelletti, A., 2022. A dynamic, network scale sediment (dis)connectivity model to reconstruct historical sediment
* Tangi, M., Bizzi, S., Fryirs, K., Castelletti, A., 2022. A dynamic, network scale sediment (dis)connectivity model to reconstruct historical sediment
transfer and river reach sediment budgets. Water Resources Research, e2021WR030784. https://doi.org/10.1029/2021WR030784
transfer and river reach sediment budgets. Water Resources Research, e2021WR030784. https://doi.org/10.1029/2021WR030784
}}
}}

Revision as of 16:20, 3 May 2022



Postdoc/Fellow, Marco Tangi, recipient of the 2022 Syvitski Student Modeler award
Politecnico di Milano, Italy

Marco was awarded for his submission “D-CASCADE: a dynamic sediment (dis)connectivity model for strategic river basin planning and management”. Modelling network-scale sediment (dis)connectivity and its response to anthropic pressures provides a foundation understanding of river processes and sediment dynamics that can be used to forecast future trajectories of river form and process.

The basin-scale, dynamic sediment connectivity model D-CASCADE, combines concepts of network modelling with empirical sediment transport formulas to quantify spatiotemporal sediment (dis)connectivity in river networks. The D-CASCADE framework describes sediment connectivity in terms of transfer rate through space and time while accounting for several hydro-morphological and anthropic factors affecting sediment transport. PhD March 2022 Politecnico di Milano, Advisor: Andrea Castelletti

  • Tangi, M., Bizzi, S., Fryirs, K., Castelletti, A., 2022. A dynamic, network scale sediment (dis)connectivity model to reconstruct historical sediment
transfer and river reach sediment budgets. Water Resources Research, e2021WR030784. https://doi.org/10.1029/2021WR030784