2025 CSDMS meeting-122: Difference between revisions
Created page with "{{CSDMS meeting personal information template-2025 |CSDMS meeting first name=Viet |CSDMS meeting last name=Bui |CSDMS Pronouns=he/him |CSDMS meeting institute=University of Florida |CSDMS meeting city=Gainesville |CSDMS meeting country=United States |CSDMS meeting state=Florida |CSDMS meeting email address=buiv@ufl.edu }} {{CSDMS meeting select clinics1 2025 |CSDMS_meeting_select_clinics1_2025=2) Simulating Glacier Flow with ICEPACK }} {{CSDMS meeting select clinics2 202..." |
No edit summary |
||
Line 27: | Line 27: | ||
|CSDMS meeting abstract title=Quantifying Delta Planform Evolution Under Sea-Level Rise: Insights from Flume Experiments and Enthalpy-Based Modeling | |CSDMS meeting abstract title=Quantifying Delta Planform Evolution Under Sea-Level Rise: Insights from Flume Experiments and Enthalpy-Based Modeling | ||
|Working_group_member_WG_FRG=Coastal Working Group, Marine Working Group, Geodynamics Focus Research Group, Ecosystem Dynamics Focus Research Group | |Working_group_member_WG_FRG=Coastal Working Group, Marine Working Group, Geodynamics Focus Research Group, Ecosystem Dynamics Focus Research Group | ||
}} | |||
{{CSDMS meeting authors template | |||
|CSDMS meeting coauthor first name abstract=Jorge | |||
|CSDMS meeting coauthor last name abstract=Lorenzo-Trueba | |||
|CSDMS meeting coauthor institute / Organization=University of Florida | |||
|CSDMS meeting coauthor town-city=Gainesville | |||
|CSDMS meeting coauthor country=United States | |||
|State=Florida | |||
|CSDMS meeting coauthor email address=jlorenzotrueba@ufl.edu | |||
}} | }} | ||
{{CSDMS meeting abstract template 2025 | {{CSDMS meeting abstract template 2025 |
Revision as of 14:11, 31 March 2025
(if you haven't already)
Log in (or create account for non-CSDMS members)
Forgot username? Search or email:CSDMSweb@colorado.edu
Browse abstracts
Quantifying Delta Planform Evolution Under Sea-Level Rise: Insights from Flume Experiments and Enthalpy-Based Modeling
We analyze 14 experimental runs conducted in a tilting flume facility that produced isolated fan deltas over a sloped, non-erodible basement. Each run maintained a fixed water-to-sediment discharge ratio and implemented a sea-level scenario—either constant, rising, or falling. These experiments span both steady base-level conditions with varying sediment and water inputs, and sea-level rise scenarios. To extract morphodynamic data, we apply a computer vision algorithm to time-lapse imagery, enabling automated reconstruction of topset and foreset geometries. Our first modeling approach uses a geometric framework that assumes conical fan delta shapes to estimate three-dimensional volumes and sediment partitioning between the subaerial topset and subaqueous foreset. The model quantifies key metrics (slope and opening angle), reveals a consistent relationship across scenarios between plan-view opening angle at the alluvial-bedrock transition and sediment/water discharge ratios: increasing sediment supply or decreasing water discharge produces narrower opening angles, and vice versa. The second model is a moving-boundary numerical framework based on the enthalpy method, enabling more realistic geometries and dynamic responses. Simulations under continuous sea-level rise replicate key experimental observations: foreset starvation leads to abandonment of the submarine delta front, while the topset migrates landward and narrows. This retreating geometric adjustment is effectively captured by the model. Its simplicity enables efficient exploration of a wide parameter space, providing new insights into deltaic evolution and sedimentary prism development under changing environmental conditions.
The integrated modeling framework provides a quantitative foundation for linking external forcings to delta morphology and stratigraphy. Our long-term goal is to apply this approach to constrain past sea-level histories and sediment budgets from plan view geometries, with future applications to Arctic deltas and other climate-sensitive coastal systems.