阿富汗人口洪水风险评估:对灾害、风险和脆弱性的空间分析

Qiyamud Din Ikram , Abdur Rashid Jamalzi , Abdur Rahim Hamidi , Irfan Ullah , Muhmmad Shahab
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摘要

洪水是阿富汗经常发生的一种严重自然灾害,并因气候变化而加剧,对人的生命和生计构成重大威胁。阿富汗社会经济的脆弱性使其极易受到灾害的破坏性影响,造成生命、生计损失以及公共和私人财产损失。本研究采用多方法研究方法,将基于遥感的洪水数据分析与空间分析和文献研究相结合,通过考虑危害、风险暴露和脆弱性指标来全面评估洪水风险。具体而言,采用 25 年一遇的洪水事件来研究洪水风险对受灾人口的影响。研究采用了 IPCC 于 2014 年提出的框架来定义洪水风险,其中包括危害、风险暴露和脆弱性三个部分。研究结果表明,位于主要河流流域附近的省份,尤其是南部、北部和东北部地区,面临的洪水风险最高。值得注意的是,南部地区的尼姆鲁兹省和赫尔曼德省的风险指数分别为 0.20 和 0.10,暴露于洪水的人口比例分别为 36% 和 15%,脆弱性指数分别为 0.57 和 0.62。同样,在北部和东北部地区,朱兹詹省和昆都士省也显示出较高的风险水平,风险指数值均为 0.11,高风险人口比例分别为 21% 和 18%,脆弱性指数值分别为 0.53 和 0.57。这种多方法方法为了解洪水风险的空间分布和人口暴露的驱动因素提供了宝贵的见解,有助于政策制定者和决策者通过有针对性的洪水脆弱性和风险降低措施制定有效的洪水风险降低战略。
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Flood risk assessment of the population in Afghanistan: A spatial analysis of hazard, exposure, and vulnerability

Flooding is a recurrent and severe natural hazard in Afghanistan, exacerbated by climate change, and poses significant threats to human lives and livelihoods. The country's socioeconomic vulnerabilities make it highly susceptible to the devastating impacts of disasters, resulting in loss of lives, livelihoods, and damage to public and private assets. This study employs a multimethod research approach, combining remote sensing-based flood data analysis with spatial analysis and literature studies, to comprehensively assess flood risk by considering hazard, exposure, and vulnerability indicators. Specifically, a 25-year return flood event was used to examine flood risk for the exposed population. The framework proposed by the IPCC in 2014 was adopted to define flood risk, encompassing hazard, exposure, and vulnerability components. The findings reveal that provinces located near major river basins, particularly in the southern, northern, and northeastern regions, experience the highest flood risk. Notably, the provinces of Nimroz and Helmand in the southern region exhibit pronounced risk index values of 0.20 and 0.10, with a highly exposed population of 36% and 15%, respectively, and vulnerability index values of 0.57 and 0.62. Similarly, in the northern and northeastern regions, the provinces of Jawzjan and Kunduz also display elevated risk levels, each with a risk index value of 0.11, characterized by highly exposed populations of 21% and 18%, respectively, and vulnerability index values of 0.53 and 0.57. This multi-method approach provides valuable insights into the spatial distribution of flood risk and the drivers of population exposure, assisting policymakers and decision-makers in formulating effective flood risk reduction strategies through targeted flood vulnerability and risk reduction measures.

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