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首页> 外文期刊>International Journal of Disaster Risk Science >An Analysis of Social Vulnerability to Natural Hazards in Nepal Using a Modified Social Vulnerability Index
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An Analysis of Social Vulnerability to Natural Hazards in Nepal Using a Modified Social Vulnerability Index

机译：使用修正的社会脆弱性指数分析尼泊尔的自然灾害社会脆弱性

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Social vulnerability influences the ability to prepare for, respond to, and recover from disasters. The identification of vulnerable populations and factors that contribute to their vulnerability are crucial for effective disaster risk reduction. Nepal exhibits multihazard risk and has experienced socioeconomic and political upheaval in recent decades, further increasing susceptibility to hazards. However, we still know little regarding social vulnerability in Nepal. Here, we investigate social vulnerability in Nepal by adapting Social Vulnerability Index (SoVI) methods to the Nepali context. Variables such as caste, and populations who cannot speak/understand Nepali were added to reflect the essence of the Nepali context. Using principal component analysis, 39 variables were reduced to seven factors that explained 63.02% of variance in the data. Factor scores were summarized to calculate final SoVI scores. The highest levels of social vulnerability are concentrated in the central and western Mountain, western Hill, and central and eastern Tarai regions of Nepal, while the least vulnerable areas are in the central and eastern Hill regions. These findings, supplemented with smaller-scale analyses, have the potential to assist village officers, policymakers, and emergency managers in the development of more effective and geographically targeted disaster management programs.
机译：社会脆弱性影响着备灾，应对灾难和从灾难中恢复的能力。查明弱势人口和造成其脆弱性的因素对于有效减少灾害风险至关重要。尼泊尔表现出多种灾害风险，近几十年来经历了社会经济和政治动荡，这进一步增加了人们对灾害的敏感性。但是，对于尼泊尔的社会脆弱性，我们仍然知之甚少。在这里，我们通过使社会脆弱性指数（SoVI）适应尼泊尔环境来调查尼泊尔的社会脆弱性。增加了种姓等变量以及无法说/不懂尼泊尔语的人口，以反映尼泊尔语境的本质。使用主成分分析，将39个变量减少为七个因素，这些因素可以解释数据中63.02％的方差。汇总因子得分以计算最终的SoVI得分。社会脆弱程度最高的地区集中在尼泊尔的中部和西部山区，西部山区以及塔莱的中部和东部地区，而脆弱程度最低的地区则在中部和东部山区。这些发现，再加上较小规模的分析，有可能协助村官，政策制定者和应急管理人员制定更有效和针对特定地理位置的灾害管理计划。

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