This project applies a data analysis technique to predict flooding risk at Surfers Paradise by integrating near real-time wave and storm tide data from Queensland’s Coastal Data System.
The analysis involves cleaning and filtering datasets to focus on the Gold Coast site, merging wave and tide components based on nearest timestamps, and calculating combined storm tide heights by aggregating astronomical tide, storm surge, and estimated wave setup.
By analyzing recent 48-hour trends and maximum values, the method assesses current flood risks, predicts the likelihood and timing of future flooding events, and evaluates storm surge trends to enhance prediction accuracy.
Visualizations such as stacked line charts and bar graphs support interpretation, while threshold comparison against the Highest Astronomical Tide (HAT) benchmark guides flood risk evaluation. This approach ensures timely, location-specific insights to assist government departments in emergency response planning.