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Rachel Carson Reserve Bathymetry, Hydraulics, and Sediment Dynamics Data

Rachel Carson Reserve Bathymetry, Hydraulics, and Sediment Dynamics Data

About the Project

The project team collaborated with the N.C. Coastal Reserve and NERR to model sediment dynamics at and around the Rachel Carson Reserve. The project team developed a numerical model that allows managers to predict interactions between extreme storm events, river systems, and other coastal processes impacting water and sediment dynamics. The project team leveraged the numerical model’s results to map the vulnerability of shores at and around the Reserve. These maps are being used to inform effective resilience planning for critical habitats and infrastructure.

About this Resource

This project generated eight datasets from field observations within the network of tidal channels surrounding the Rachel Carson Reserve (RCR). These datasets were used to construct, calibrate, and validate the hydro-morphodynamic numerical model to enhance the model’s fidelity and provide confidence in its ability to predict water and sediment dynamics at and around the RCR.

An overview of the project datasets and their accessibility is provided below. The dataset description outlines data collection methods and locations.

  1. Bathymetry of channel network around the Rachel Carson Reserve.
  2. Longitudinal Flow velocity profiles along channel network.
  3. Flow velocity time series.
  4. ADV-derived flow velocity time series at discrete depths.
  5. Water property time series.
  6. Suspended sediment granulometry time series.
  7. Bed sediment erodibility characterization.
  8. Bed sediment grain size distribution.

Data Access and Archival

All data will be made publicly available within two years of project completion or upon publication of the associated manuscript, whichever is sooner. Data will be archived in the interim with the NERRS Centralized Data Management Office (CDMO).

Questions about these datasets can be directed to:

Celso Castro-Bolinaga, North Carolina State University, [email protected]