Scholarlink

<p>Flood risk prediction is critical for adaptation to the forecast frequency of extreme weather events. As South Korea experiences events that cause widespread flood damage, we conducted a flood risk assessment by employing global climate models and a hydrological model of the Yeongsan River Basin. Using shared socioeconomic pathway scenario data from the soil and water assessment tool, we simulated daily streamflow and reservoir outflow data for each sub-basin, modeling baseline, mid-century, and end-century scenarios. Four flood indices (duration, magnitude, probability, and frequency) were used for estimating flood risk. The spatial distribution of flood risk projected higher risks in most sub-basins for the mid- and end-century scenarios with an increase of flood amount to about 65% in the future. Adaptive strategies were required to address the risks of both flash floods and longer-term flooding. The study facilitates prioritizing flood risk regions for implementing effective preventive measures and efficient flood management.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Assessing climate change impacts on flood risk in the Yeongsan River Basin, South Korea

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月18日

查看全文
  • Agbortoko Bate Ashu,
  • Junsuk Kang

摘要

Flood risk prediction is critical for adaptation to the forecast frequency of extreme weather events. As South Korea experiences events that cause widespread flood damage, we conducted a flood risk assessment by employing global climate models and a hydrological model of the Yeongsan River Basin. Using shared socioeconomic pathway scenario data from the soil and water assessment tool, we simulated daily streamflow and reservoir outflow data for each sub-basin, modeling baseline, mid-century, and end-century scenarios. Four flood indices (duration, magnitude, probability, and frequency) were used for estimating flood risk. The spatial distribution of flood risk projected higher risks in most sub-basins for the mid- and end-century scenarios with an increase of flood amount to about 65% in the future. Adaptive strategies were required to address the risks of both flash floods and longer-term flooding. The study facilitates prioritizing flood risk regions for implementing effective preventive measures and efficient flood management.