Sand dunes protect landward communities and infrastructure from elevated water levels during storm events. However, they are often eroded or overwashed during storms, exposing communities to higher vulnerability for future storms. Accurate models for wave run-up and dune erosion are needed to ensure coastal communities can be prepared for hazardous events. Unfortunately, data to validate these models is limited.
With this algorithm, modelers will no longer need to wait for data from the typical before-and after event surveying in order to validate their coastal hazard models. They will be able to determine if wave run-up reached or breached the dunes, how many times the water level reached the dune line, and the duration of the dune erosion event by using the algorithm.
The algorithm employs two methods for verification and analyzation of a dune collision event. Pictured above is final product of both methods combined.
The dune line in this image is shown by the blue line. The water line is the green line and corresponds to the maximum extent of wave run up during the video by analyzing the pixel brightness in the image. The green dots, in the left hand image, represent the absence of a dune-collision event at that location during that webcam video. In the right hand image, a yellow dot indicates that only one method marked a dune-collision event at that location. A red dot means that a dune-collision event was recorded by both methods at that location.
The algorithm is applicable to the large number of existing webcams along the coast which were originally intended for surf or weather monitoring. Long is the mentor on the project. Along with the source-code, the GitHub page for the Detection of Maximum Water Levels To Monitor Dune Collisions project includes documentation and a step-by-step user guide available for unrestricted download.
