Quantifying uncertainty of beach/dune evolution models: application to managed and natural post-storm foredune recovery develops a front-end interface to the Windsurf model called CReST (the Coastal Recovery from Storms Tool) to add the ability to incorporate beach nourishment and dune construction, beach and dune grading, dune grass planting scenarios, dune grass removal, and the presence of hard engineering structures into the model framework. This added capability allows for better accounting for the complex dynamics of managed coastlines and a flexible framework to investigate the complex interactions between beaches and dunes for a variety of exploratory and applied applications.
Dr. Peter Ruggiero
Photo: Recovery of eroded foredune along North Core Banks, Cape Lookout National Seashore, NC, October 2015
A Calibration Workflow for Coastal Dune Models using Structure-from-Motion Photogrammetry and a Genetic Algorithm develops an approach for calibrating models of coastal foredune growth using structure-from-motion photogrammetry and a machine learning technique (genetic algorithms). This project is a step towards better predicting dune growth during inter-storm time periods.
Dr. Laura Moore & Dr. Evan Goldstein
Photo: Camera flown by kite to remotely measure topography of dunes at Cape Lookout National Seashore, NC
Wind Tunnel Analyses of Vegetation Species: Differences in Sand Capture Efficiency for Natural & Nature-Based Dune Accretion & Management explores the biogeomorphic relationships between plant morphology and density with foredune genesis. Stakeholder benefits from this project include interdisciplinary and applied research for coastal management, modelling parameterization, as well as the opportunity for local and national community involvement with a custom wind tunnel.
Dr. Bianca Charbonneau (Student)
Photo: The wind tunnel with a test box with rooted vegetation established for analysis