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Award Detail

Doing Business As Name:University of Minnesota-Twin Cities
  • Andrew D Wickert
  • (651) 785-6350
Award Date:01/09/2020
Estimated Total Award Amount: $ 622,338
Funds Obligated to Date: $ 162,785
  • FY 2020=$162,785
Start Date:07/01/2020
End Date:06/30/2025
Transaction Type:Grant
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.050
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:CAREER: Alluvial-river dynamics through watershed networks
Federal Award ID Number:1944782
DUNS ID:555917996
Parent DUNS ID:117178941
Program:Geomorphology & Land-use Dynam
Program Officer:
  • Justin Lawrence
  • (703) 292-2425

Awardee Location

Street:200 OAK ST SE
Awardee Cong. District:05

Primary Place of Performance

Organization Name:University of Minnesota-Twin Cities
Street:2 3rd Ave SE
Cong. District:05

Abstract at Time of Award

Rivers and their tributaries form networks that integrate the far reaches of Earth's landscapes, linking our homes, farms, cities, and wilderness areas. These rivers are ever-changing, sometimes near-imperceptibly and sometimes dramatically adjusting their forms to carry the water and sediment supplied by rainfall, snow/ice melt, and erosion of the surrounding landscape. Both natural and human activities can alter the balance of water and sediment entering rivers, causing them to erode downwards into their beds when water supply outweighs sediment supply, or to deposit sediments and raise the level of their beds when sediment supply increases beyond what the water can carry. Wickert and his team will develop a theory to predict these river-system changes, and incorporate it into a computer model that includes rainfall and runoff, lakes and wetlands, and processes that shape rivers. They will test this theory and model using data from rivers in Minnesota, USA, and Salta, Argentina. These rivers' bed elevations have changed by tens to hundreds of meters during past glacial cycles and by several meters over the past 200 years in response to changing climate and land use. Controlled experiments on small-scale rivers conducted at the Saint Anthony Falls Laboratory will supplement these field-based tests. The proposed outcome of this work is an efficient, physics-based, predictive model to simulate river-network evolution in response to climate and land-use change. The project will train undergraduate students, graduate students, and postdoctoral scholars. The team will work with the Ojibwe people to broaden participation in science. Wickert and his group will develop and test theory and models to simulate river-network response to changes in water and sediment supply. They will codify river-tributary networks into mathematical networks that additionally incorporate valleys, lakes, and the surrounding hillslopes. They will then couple and solve equations describing alluvial-river dynamics across these networks to predict the complex response of rivers to external perturbations. These equations will underlie a new numerical model, to be tested against field and laboratory data and driven by records and simulations of sediment inputs and water discharge. This model will enable us to rapidly simulate alluvial-river response to drivers of geomorphic change, thereby improving our ability to both reconstruct past river dynamics and forecast the impacts of environmental change on rivers into the future. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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