基于西巴布亚特鲁克旺达马瓦西尔地区社会、经济和制度因素的山洪脆弱性分析

B. W. Hastanti, F. J. Hutapea
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引用次数: 2

摘要

减灾的一种形式是了解在社会和经济上面临灾害风险的地区的脆弱性。有必要对山洪的脆弱性进行研究,因为这可能会防止物质损失和死亡。Teluk Wondama Regency的Wasior区在2010年经历了一场山洪暴发,造成了死亡和大量物质损失等负面影响。为了预测未来可能发生的山洪,需要进行研究以评估对山洪的脆弱性。本研究旨在:1)基于2010年山洪暴发后的社会经济因素分析瓦西奥的山洪脆弱性水平;2)基于制度因素分析瓦西奥的山洪易损性水平。本研究采用定性和定量相结合的方法。数据收集通过观察、访谈和记录进行。数据分析如下:1)确定流域周围社区和机构的社会经济指标,2)为社会经济标准和机构标准提供从最脆弱到最不脆弱的加权分数,3)根据社会经济和机构指标的加权得分计算,评估研究地点的社区和机构对山洪影响的脆弱程度。结果表明,社会经济对山洪的脆弱性水平为中等(总分2.084),而制度脆弱性水平较低(总分2.251)。本研究的结果可作为瓦西奥实施山洪缓解措施的考虑依据。关键词:脆弱性、社会、经济、体制、山洪暴发
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Vulnerability Levels to the Flash Flood Based on Social Economic and Institutional Factors in Wasior, Teluk Wondama, West Papua
One form of disaster mitigation is to know the vulnerability of areas that are at risk of disaster socially and economically. Studies on vulnerability to flash floods are necessary, as it might prevent material losses and fatalities. Wasior District at Teluk Wondama Regency experienced a flash flood in 2010 causing negative impacts such as fatalities and large material losses. To anticipate flash floods that might occur in the future, studies to evaluate the vulnerability to the flash flood are needed. This study aimed to: 1) analyze the level of vulnerability to flash floods in Wasior based on socioeconomic factors post the 2010 flash floods, 2) analyze the level of vulnerability to flash floods in Wasior based on institutional factors. The method used in this study was a combination of qualitative and quantitative methods. Data collection was conducted by observation, interview, and documentation. Data were analyzed by: 1) identifying the socioeconomic indicators of the community and institutions around the watershed, 2) providing weighting scores to the social economic criteria and institutional criteria from the most vulnerable to the least vulnerable, 3) assessing the level of community and institution vulnerabilities in the study site to the impact of flash floods based on the calculation of the weighting scores of socio-economic and institutional indicators. The results showed that the level of socioeconomic vulnerability to flash floods were categorized as moderate (total score 2.084), while the level of institutional vulnerability was low (total score 2.251). The results of this study can be used as a basis for considerations in the implementation of flash flood mitigation in Wasior. Keywords: vulnerabilities, social, economic, institutional, flash flood
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