Dwi Ratnasari, Helmy Amalia Ariesta, Teti Zubaidah, Bulkis Kanata, Made Sutha Yadnya, Paniran Paniran, S. Supriyatna
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引用次数: 0
摘要
龙目岛是印尼地磁异常最严重的地区(Zubaidah et al., 2014)。2018年7月底至8月底,龙目岛经历了一系列相当大的地震。地磁信号的识别,特别是在超低频(ULF)频谱中,可以用作地震前兆(Saroso, 2010)。国际航空地磁协会(IAGA)是一个拥有大量世界地磁数据的国际地磁观测站网络。大数据分析非常重要,因为在减灾中需要非常大的信息。本研究使用了2018年8月28日至11月30日24小时内从澳大利亚卡卡杜(KDU)和龙目岛Nurul Bayan站(NRB)采集的每秒地磁数据。使用的分析方法是通过计算KDU和NRB的F值(总磁场)来区分,然后寻找差异并分析模式。结果发现,2018年10月,在努鲁巴扬龙目岛发现了地球磁场异常现象,持续了17天。
Analisis Big Data Geomagnetik Dengan Metode Diferensiasi Sebagai Prekursor Gempa Lombok Tahun 2018
Lombok is an area with the highest geomagnetic anomaly in Indonesia (Zubaidah et al., 2014). From the end of July to the end of August 2018, Lombok experienced a series of fairly large earthquakes. Identification of geomagnetic signals, especially in the Ultra Low Frequency (ULF) spectrum, can be used as earthquake precursors (Saroso, 2010). Intermagnet IAGA (International Aeronomy Geomagnetic Association) is a network of international geomagnetic observatory stations that have large world geomagnetic data. Big data analysis is very important because very large information is needed in disaster mitigation. This study uses geomagnetic data per second for 24 hours from 28 August to 30 November 2018 taken from Kakadu (KDU) Australia and Nurul Bayan Station (NRB) Lombok. The analytical method used is Differentiation by calculating the F value (total magnetic field) for KDU and NRB, then look for the difference and analyze the pattern. The results found that there was an anomaly phenomenon of the Earth's magnetic field in Nurul Bayan Lombok which was detected for 17 days during October 2018.