Quantifying Vertical Uncertainty and the Temporal Variability of the Seafloor to Identify Hydrographic Survey Priorities

Cassie Bongiovanni
M.S. Defense

Earth Sciences/Ocean Mapping

Tuesday, Nov. 20, 2018, 9:30am
Chase 130

As the amount of U.S. coastal waters vastly exceeds the ability of annual hydrographic coverage, prioritization is necessary to maintain mariner safety. Obtaining new coverage over only vital locations allows for an efficient use of funds; however, identifying these locations is a difficult task. The current model to address survey prioritization is called the Hydrographic Health Model (or HHM) was created by personnel at National Oceanographic and Atmospheric Administration (NOAA), the authoritative agency tasked with chart maintenance and hydrographic survey collection. While the HHM incorporates potential sources of bathymetric change, it does not include nor lend to the inclusion of measured changes associated with these sources. In order to integrate quantified estimates of change, the HHM fundamental equation must be adapted. Here we introduce the Hydrographic Uncertainty Gap (HUG) model as the adapted version of the HHM. Fundamental to HUG is the quantification of hydrographic survey uncertainties and changes to bathymetry, the calculations of which are outlined and performed for Chesapeake Bay and surrounding areas. 


Cassie received a B.S. in geology at the University of Washington in Seattle with a focus in Oceanography. While there, she spent time aboard both U.W. research vessels working with multibeam data. Cassie spent the last couple of years working with NOAA's IOCM group on processing outside source acoustic data for the post Hurricane Sandy research effort and is now pursuing a master's degree in earth sciences/ocean mapping.