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Spatially-Explicit Assessment of Flood Risk Caused by Climate Change in South Korea

机译:韩国气候变化引起的洪水风险的空间显式评估

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Identifying spatially-explicit risk is essential for efficient flood management with limited resources and budgets. We investigated national-scale relative flood risk for 139 sub-basins in South Korea under current and future climate conditions. A non-parametric index method was employed to calculate relative flood risk based on a sensitivity index, an exposure index, and an adaptive capacity index for each sub-basin. A dynamically downscaled climate simulation based on the A2 Greenhouse Gas (GHG) emission scenario, provided by the Korean Meteorological Research Institute (METRI), was used to examine possible change in flood risk. The estimated flood risk generally agreed with historical flood damage. The highly vulnerable sub-basins had high exposure indices, reflecting frequent heavy rainfall, as well as high sensitivity indices due to dense population at low elevation. Although rainfall intensity and frequency is likely to increase under the A2 GHG emission scenario, the spatial pattern of relative flood risk did not change remarkably. Our results indicate that reducing flood sensitivity levels and enhancing the adaptive capacity in vulnerable regions will be critical aspects of climate change preparation in South Korea.
机译:识别空间上显着的风险对于在资源和预算有限的情况下进行有效的洪水管理至关重要。我们调查了当前和未来气候条件下韩国139个流域的全国性相对洪灾风险。采用非参数指标法,基于每个子流域的敏感性指标,暴露指标和适应能力指标,计算相对洪水风险。由韩国气象研究所(METRI)提供的基于A2温室气体(GHG)排放情景的动态降级气候模拟用于检查洪水风险的可能变化。估计的洪水风险通常与历史洪水损失相符。高度脆弱的流域具有高暴露指数,反映了频繁的强降雨,以及由于低海拔人口密集而导致的高敏感性指数。虽然在A2温室气体排放情景下降雨强度和频率可能会增加,但相对洪灾风险的空间格局并未发生明显变化。我们的结果表明,降低洪水敏感性水平和增强脆弱地区的适应能力将是韩国应对气候变化的关键方面。

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