基于多标准空间分析的洪水灾害风险评估,GIS作为空间规划政策的输入,印度尼西亚法律摄政

IF 1.2 Q3 GEOGRAPHY
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引用次数: 9

摘要

最近关于洪水灾害的讨论关注自然和人为活动之间的风险因素和原因。这场灾难需要认真处理,需要分析,特别是在受洪水影响的地区,印度尼西亚的法律摄政案例研究。现有缓解努力的弱点仍然需要进行全面分析,需要在地理信息系统空间分析的基础上进行多标准评估。使用的GIS方法是栅格计算器和加权叠加,通过设置多个物理和非物理方面的计算变量来支持多标准空间分析。结果表明:从空间上看,超过30%的高风险区位于法政辖区下游或沿海地区;然而,一些受洪水影响的街道的能力和恢复能力指数在0.5以上,因此它们具有较好的抵御灾害的能力,例如Adiwerna, Bumijawa, Bojong和Kramat四个街道。从分析结果来看,土地利用变化是影响洪涝事件发生次数的最大问题。在这种情况下,法律事务的适当缓解努力是加强空间规划政策和提高能力,特别是在高风险地区的灾害治理方面。因此,将在社区高度参与加强能力指数的情况下预测脆弱性和危险因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flood hazard risk assessment based on multi-criteria spatial analysis GIS as input for spatial planning policies in Tegal Regency, Indonesia
Recent discussions on flood disasters concern the risk factors and causes between nature and anthropogenic activities. This disaster requires serious handling, which needs to be analysed, especially in areas affected by flooding with the Tegal Regency, Indonesia case study. The weakness of the existing mitigation efforts still needed comprehensive analyses, requiring a multi-criteria assessment based on GIS spatial analysis. The GIS method used is a raster calculator and weighted superimpose by setting several calculation variables from both physical and non-physical aspects to support the multicriteria spatial analysis. The results show that spatially, more than 30% of areas with a high-risk index are located in the downstream or coastal regions of Tegal Regency. However, the index of capacity and resilience in several flood-affected sub-districts is at an index above 0.5, so they have good strength to disasters such as the four sub-districts of Adiwerna, Bumijawa, Bojong, and Kramat. From the analysis results, land use change is the biggest problem that affects the number of the flood event. With this condition, the appropriate mitigation effort for Tegal Regency is strengthening the spatial planning policy and increasing the capacity, especially in disaster governance in a high-risk area. Thus, the vulnerability and hazard factors will be anticipated with high community participation in strengthening the capacity index.
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CiteScore
2.80
自引率
11.10%
发文量
8
审稿时长
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