<p>The north-central coast of Vietnam, particularly Quang Tri province, frequently experiences severe flooding resulting from the interplay of adverse multiple weather patterns including storms, depressions, cold surges or easterly winds. Tropical cyclones in the East Sea that make landfall in Quang Tri usually bring heavy rainfall and strong winds that contribute significantly to river and flood flooding, often overwhelming local drainage capacity, raising water levels in major rivers and causing prolonged flooding. This is a major challenge, particularly in the context of climate change, which is exacerbating the increase in the frequency and intensity of extreme weather events. So, this study carefully examines the weather patterns driven flooding in Quang Tri including individual storms, cold surges combined with intertropical convergence zone, cold surges combined with storms, cold surges combined with easterly winds and cold surges combined with tropical depressions. Based on that, the identification of flooding extent and depth is fully implemented using the hydrological-hydraulic modeling combined with geospatial technology. The findings indicate that the interaction of storms and cold surges causes the largest flooding depth and extent with a total of 8.52% flooded areas in the whole province, meanwhile the least risk in the combination of the tropical depressions with cold surges with a total of 3.53% flooded areas. These results are important inputs for integrated flood management strategies, improved forecasting systems, and resilient infrastructure development to mitigate flood risks in Quang Tri province. More importantly, proactive planning and adaptive measures are essential to enhance the region’s capacity to cope with adverse weather patterns. Scientifically, this study provides insightfully understanding of compound flooding by quantifying how distinct synoptic combinations control flood depth and extent.</p>

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Simulation of Coastal Flooding Under Extreme Weather Patterns for Quang Tri Province, Vietnam

  • Nguyen Thanh Hung,
  • Vu Dinh Cuong,
  • Nguyen Tien Thanh,
  • Trieu Quang Quan

摘要

The north-central coast of Vietnam, particularly Quang Tri province, frequently experiences severe flooding resulting from the interplay of adverse multiple weather patterns including storms, depressions, cold surges or easterly winds. Tropical cyclones in the East Sea that make landfall in Quang Tri usually bring heavy rainfall and strong winds that contribute significantly to river and flood flooding, often overwhelming local drainage capacity, raising water levels in major rivers and causing prolonged flooding. This is a major challenge, particularly in the context of climate change, which is exacerbating the increase in the frequency and intensity of extreme weather events. So, this study carefully examines the weather patterns driven flooding in Quang Tri including individual storms, cold surges combined with intertropical convergence zone, cold surges combined with storms, cold surges combined with easterly winds and cold surges combined with tropical depressions. Based on that, the identification of flooding extent and depth is fully implemented using the hydrological-hydraulic modeling combined with geospatial technology. The findings indicate that the interaction of storms and cold surges causes the largest flooding depth and extent with a total of 8.52% flooded areas in the whole province, meanwhile the least risk in the combination of the tropical depressions with cold surges with a total of 3.53% flooded areas. These results are important inputs for integrated flood management strategies, improved forecasting systems, and resilient infrastructure development to mitigate flood risks in Quang Tri province. More importantly, proactive planning and adaptive measures are essential to enhance the region’s capacity to cope with adverse weather patterns. Scientifically, this study provides insightfully understanding of compound flooding by quantifying how distinct synoptic combinations control flood depth and extent.