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Deterministic system for earthquake early warning system based on radon gas concentration anomaly at Yogyakarta Region-Indonesia

机译:基于氡气浓度异常在日惹地区的地震预警系统确定性系统 - 印度尼西亚

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Earthquakes are one of the most destructive natural disasters on earth, which are the result of surging tectonic stress, and it extremely difficult to predict due to a lack of different statistical patterns required to model future occurrences. Indonesian Meteorology, Climatology, and Geophysics Agency (BMKG) said that there were 11.920 earthquakes happen in 2018 and 11.473 earthquakes in 2019. In 2018, there were 29 destructive earthquakes and one earthquake followed by a tsunami that caused 4047 people dead or lost, 6.439 people injured, 704.849 people evacuated, and thousand public facilities damage. While in 2019, there were 147 people injured, 5.025 homes damaged, and a hundred public facilities damage caused by 13 destructive earthquakes. Earthquakes prediction is necessary to reduce the risk caused by earthquakes. The purpose of this research was to predict when the earthquake would happen from the instrumentation system based on the telemonitoring of radon concentration anomaly to provide an early warning system alarm before an earthquake occurs. The methodology used in this research was built radon concentration monitoring systems that were placed near the fault around Yogyakarta-Indonesia. Radon concentration is measured every hour. Then, the author analyzed the correlation between radon gas concentration and the earthquakes happen from Sumatra until NTT. The data of earthquakes were taken from the Indonesian Meteorology, Climatology, and Geophysics Agency (BMKG) and Postdam Geofon. After measuring the radon gas concentration for 9 months and doing analysis, it was found that the prediction of an earthquake could be decided when 4 of 5 algorithms were confirmed. Based on the algorithm that was determined, there were 34 of 51 earthquakes that were successfully predicted and 34 of 66 true algorithms. So, the correctness of the prediction is 51,52% with an accuracy of 66,67% that the earthquake will happen 1 until 3 days later.
机译:地震是地球上最具破坏性的自然灾害之一,这是汹涌的构造压力的结果,并且由于缺乏模拟未来出现所需的不同统计模式而预测,这是极难预测。印度尼西亚气象学,气候学和地球物理学局(BMKG)表示,2018年有11.920次地震发生在2019年和11.473次地震。2018年,有29个破坏性地震和一场地震,后跟海啸造成了4047人死亡或失去的海啸,6.439人们受伤,704.849人疏散,千辆公共设施损坏。虽然在2019年,有147人受伤,5.025人受损,13个破坏性地震造成的一百个公共设施损坏。地震预测是为了降低地震造成的风险。本研究的目的是预测基于氡浓度异常的远程诊断仪器系统发生地震,以在发生地震之前提供预警系统报警。该研究中使用的方法建立了氡浓度监测系统,该系统靠近日惹 - 印度尼西亚的故障。每小时测量氡浓度。然后,作者分析了氡气浓度与苏门答腊地震之间的相关性,直到NTT。地震数据来自印度尼西亚气象学,气候学和地球物理学机构(BMKG)和邮局Geofon。测量氡气浓度9个月并进行分析后,发现当确认5个算法中的4种时可以决定地震的预测。基于确定的算法,已成功预测的51个地震中的34个,共有66个真实算法中的34个。因此,预测的正确性为51,52%,精度为66,67%,即地震将发生1直至3天后。

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