Risk Assessment of Coastal Infrastructure Considering Uncertainty in Coastal Forcing and Weather Pattern Impact [supporting data]

Details

• Creators:
  Zhang, Xukai ; Noshadravan, Arash
• Corporate Creators:
  Texas A&M University. Engineering Experiment Station
• Corporate Contributors:
  The Southern Plains Transportation Center (SPTC) Region 6 University Transportation Center (UTC) ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  Coastal Engineering Data Files Disaster Resilience Life Cycle Analysis Ports Risk Assessment Sea Level Sea Walls
• Resource Type:
  Dataset
• Right Statement:
  Public Domain
• Geographical Coverage:
  United States
• Corporate Publisher:
  The Southern Plains Transportation Center (SPTC) Region 6 University Transportation Center (UTC)
• Abstract:
  The su​bmitted dataset​, titled "Galveston Seawall Wave Overtopping Risk Prediction Dataset" is associated with the research project "Risk Assessment of Port Infrastructure Considering Uncertainty in Coastal Forcing and Changing Weather Patterns" under SPTC’s project 69A3552348306 (CY1-TAMU-02). This dataset, contained in a single 8.7MB Excel file, includes three spreadsheets: "Training and Test Dataset," "Prediction Dataset," and "Output of Prediction." The "Training and Test Dataset" consists of time-series data from 1995 to 2005, including offshore wave conditions (wave mean period and significant wave height), wind conditions (wind speed), tide levels at the seawall, local wind data, and sea water levels at the Galveston seawall, which were used to train the predictive model. The "Prediction Dataset" contai​ns the same input parameters from 2026 to 2037 but excludes sea water level observations, serving as the input for forecasting. The "Output of Prediction" spreadsheet provides model-generated results, including uncertain wave conditions, mean sea water level rise projections from USACE, predicted sea water levels at the Galveston seawall, and the probability of failure due to wave overtopping. The dataset was compiled from publicly available sources, including NOAA Tide & Currents, the USACE Sea-Level Change Curve Calculator, and the USGS Coastal and Marine Geology Program (GFDL models).
• Format:
  XLSX
• Funding:
  69A3552348306
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:4929afe75aac415c268b80527c91ff0528c8039c611fa4418659f61e2ce78c7f6e3768edf74da3c37e73558cc7568796d02e5198155ccbb8cad3c510e1041908
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/88298/dot_88298_DS1.xlsx
• File Type:
  [EXCEL - 39.60 KB ]