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In this thesis, the coastal zone of Sri Lanka is examined to identify the zone most susceptible to wave action during storm and surge events for possible application of the SWAN (Simulating Waves Nearshore) wave model for forecasting purposes. The study accounts for a ten-year period between 2014 and 2024 using wind speed (u10, v10) and significant wave height (SWH) data to estimate vulnerability of the different coastal areas to storm impacts. By using data analysis and visualization software like MATLAB, ODV, and Python, the study concludes that the southwest coastal area of Sri Lanka is the most susceptible to storm influence and hence the most suitable place for high-resolution wave modeling. The study supplies essential information for coastal zone management planning and infrastructure planning in Sri Lanka.

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Analyzing and Selecting the Optimal Area for Wind Wave Modeling in the Sri Lankan Coastal Area

  • 会议论文

  • 发表日期：

    2026年

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  • S. N. Nagahawatta,
  • V. Y. Chantsev,
  • R. M. R. M. Jayathilaka

摘要

In this thesis, the coastal zone of Sri Lanka is examined to identify the zone most susceptible to wave action during storm and surge events for possible application of the SWAN (Simulating Waves Nearshore) wave model for forecasting purposes. The study accounts for a ten-year period between 2014 and 2024 using wind speed (u10, v10) and significant wave height (SWH) data to estimate vulnerability of the different coastal areas to storm impacts. By using data analysis and visualization software like MATLAB, ODV, and Python, the study concludes that the southwest coastal area of Sri Lanka is the most susceptible to storm influence and hence the most suitable place for high-resolution wave modeling. The study supplies essential information for coastal zone management planning and infrastructure planning in Sri Lanka.