Assessment of Wave Impacts on Highway Embankments due to Hurricanes/Tropical Storms in Coastal Louisiana [supporting dataset]

Tiwari, Abhishek K; Wang, Jay X.

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Assessment of Wave Impacts on Highway Embankments due to Hurricanes/Tropical Storms in Coastal Louisiana [supporting dataset]

Dataset Supporting Files

2025-01-01
By Tiwari, Abhishek K ; Wang, Jay X.

File Language:

English

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Creators:

Tiwari, Abhishek K ; Wang, Jay X.
Corporate Creators:

Louisiana Tech University. Civil Engineering Program
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:

Data Files Embankments Geosynthetics Hurricanes Risk Assessment Water Pressure Wave Drag
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:

Data Summary. The submitted dataset, “Louisiana Coastal Wave & Hurricane Data—SPTC Cycle 1,” supports research on wave impacts and embankment design/vulnerability assessment in coastal Louisiana. Its purpose is to provide historical and interpolated coastal wave conditions and hurricane activity for statistical wave modeling, spatial interpolation, and wave-pressure calculations.The package includes four files: 1) A .xlsx workbook of historical wave data from 13 coastal Louisiana stations, one worksheet per station (213 KB, Historical_wave_data_13_stations.xlsx), 2) A .xlsx file of historical hurricane high-water-mark records for coastal Louisiana (12 KB, Hurrican_Watermarks_Louisiana.xlsx), and 3) A geospatial dataset containing the interpolated 20-year return-period wave heights across coastal Louisiana (1.4 MB, Geospatial_Data_Interpolated_20yr_wave_height.xlsx). 4) A .xlsx file of budgetary data. The top three files are researcher-generated tables and layers compiled from observed NOAA coastal station data and National Hurricane Center records, with processing performed through statistical interpolation (GEV analysis and ordinary kriging in Python) and geospatial mapping in QGIS to ensure spatial consistency for analysis.
Format:

ZIP
Funding:

69A3552348306
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:2f620086b239b7e0047c41260c937d7a2258094ee0b444f15dfd93c5a5872097f4c1239d6a5bffe2a4208e241ef0e8e83d7768437a3011d972bf656aaa9b3bb5
Download URL:

https://rosap.ntl.bts.gov/view/dot/88397/dot_88397_DS1.zip
File Type:

[ZIP - 1.37 MB ]

Project Description

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File Language:

English

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