Degree
Master of Science (MS)
Department
Environmental Resource Science
Document Type
Thesis
Abstract
Storm surges are among the most significant threats to coastal wetlands, causing flooding and saltwater intrusion that alter hydrology, vegetation structure, and long-term ecosystem resilience. Along the Louisiana coast, storm surge effects vary depending on storm behavior, shoreline geometry, and marsh hydrologic connectivity, yet are commonly characterized using broad storm metrics rather than site-specific environmental responses. This study develops a data-driven framework to classify storm surges across coastal Louisiana wetlands using observations from the Coastwide Reference Monitoring System (CRMS). Hourly water-level and salinity time series from twelve hurricanes (2007-2024) were analyzed using a 40-day storm-centered window. Hydrologic and salinity metrics describing water-level magnitude, salinity intrusion, and surge persistence were derived for individual storm-station events and integrated with GIS-derived spatial exposure variables (i.e., distance to coastline, to canals, and to levees, marsh type and basin classification). Applying k-means clustering to standardized hydro-salinity and landscape variables, four distinct surge classes were identified. A Random Forest classification model achieved an overall accuracy of 93.4% and a cross-validated accuracy of 95.2%. Variable importance analysis indicated that landscape configuration variables, particularly distance to canals, marsh type, basin location, and distance to coastline, were the strongest predictors of surge class. These findings demonstrate that storm surge impacts are fundamentally shaped by hydrologic connectivity and landscape structure, often exceeding the influence of storm intensity alone. This classification framework provides a novel, data-driven tool for anticipating site-specific surge responses and can directly inform wetland vulnerability assessment and coastal restoration prioritization across the Louisiana coastal zone.
Date
2-6-2026
Recommended Citation
Okunbor, Faith Ewere, "Classifying storm surges along louisiana coast using machine learning" (2026). Masters Theses. 35.
https://scholarshub.louisiana.edu/masters_theses/35
DOI
https://proquest.com/docview/3347819060
First Committee Chair
Jorge VIlla
First Committee Member
Gabriele Morra
Second Committee Member
P. Ioannidi
Third Committee Member
Robert Miller