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Sea level rise poses a growing threat to transportation infrastructure, including ports, railways, roads, bridges, culverts, and drainage systems, which are increasingly susceptible to flooding. This vulnerability significantly disrupts transport and commerce, impacting livelihoods. This study aims to develop a reliable flood forecasting model using ModelBuilder in ArcGIS, integrating satellite imagery to predict inundation areas under six sea level rise scenarios ranging from 50 cm to 100 cm. The model’s reliability is assessed to provide accurate predictions for effective traffic planning and infrastructure protection.

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Assessment of Sea-Level Rise Flood Prediction Models’ Reliability for Traffic Planning Using GIS and Remote Sensing Data

  • 会议论文

  • 发表日期：

    2026年

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  • Ngoc Phuong Vu,
  • Van Manh Do

摘要

Sea level rise poses a growing threat to transportation infrastructure, including ports, railways, roads, bridges, culverts, and drainage systems, which are increasingly susceptible to flooding. This vulnerability significantly disrupts transport and commerce, impacting livelihoods. This study aims to develop a reliable flood forecasting model using ModelBuilder in ArcGIS, integrating satellite imagery to predict inundation areas under six sea level rise scenarios ranging from 50 cm to 100 cm. The model’s reliability is assessed to provide accurate predictions for effective traffic planning and infrastructure protection.