基于卫星方法和实地调查的2022年2月25日Pasaman 6.2级地震脆弱性识别

Edy Santoso, S. Pramono, Dadang Permana, M. Muzli, Bambang Setyo Prayitno, D. Karnawati
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引用次数: 0

摘要

2022年2月25日发生的6.2级帕萨曼地震造成了人员伤亡和基础设施破坏。漏洞识别确定了系统或单元被破坏的潜在程度。本研究基于4个脆弱性指标进行脆弱性识别,即:卫星影像处理后的土壤移动速率、基于Vs30的土壤类型分类、校正等震震图和居民区图。每个指标都有各自的权重,然后进行评分和汇总,以评估Pasaman地震附近地区的易损性。利用先进的差分干涉合成孔径雷达(DInSAR)对Sentinel-1 SLC卫星数据进行处理,得到震中周围的变形率。高易损性地区的地表移动速率值一般在5厘米/年以上。这些地区主要是居民区,在地震中遭受了严重的破坏。这些地区的土壤类型为中等土壤,地震时的冲击强度为VI MMI或更高。这项研究是在帕萨曼地震震中附近的地区进行的,如帕萨曼、邦乔尔、帕萨曼、Palembaya和Lubuk Basung地区。开展了灾害脆弱性识别研究,以减少损失,最大限度地减少人口对灾害的暴露。脆弱性识别的结果可以作为教育和扫盲的一部分,以减少地震灾害的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of Vulnerability Due to the Pasaman M6.2 Earthquake on 25 February 2022 Using Satellite-Based Methods and Field Surveys
The Pasaman earthquake which occurred on 25 February 2022, with a magnitude of 6.2, caused casualties and infrastructure damage. Vulnerability identification determines the potential extent to which a system or unit tends to be damaged. Vulnerability identification in this study was carried out based on four vulnerability indicators, namely: rate of soil movement from satellite image processing, soil type classification based on Vs30, corrected isoseismal shakemap, and residential area maps. Each indicator, with their respective weightage, is then scored and summed to evaluate the vulnerability of areas in the vicinity of Pasaman earthquake. The processing of Sentinel-1 SLC satellite data using the advanced Differential Interferometric Synthetic Aperture Radar (DInSAR) produces a deformation rate around area of epicenter. Areas that have high vulnerability generally have a value of ground movement rate in the form of subsidence above 5 cm/year. These areas were predominantly residential and experienced significant damage during the earthquake. The soil type in these regions was classified as medium soil, and the intensity of shocks during the earthquake was categorized as VI MMI or higher. This study was conducted in the area near the epicenter of the Pasaman earthquake, such as in the district Pasaman, Bonjol, Pasaman, Palembaya, and Lubuk Basung. A study of disaster vulnerability identification is carried out to reduce the losses and minimizing the exposure of the population to disasters. The results of vulnerability identification can be used as part of education and literacy to reduce the risk of earthquake disasters.
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