Earthquake magnitude estimation using the s_c and P_d method for earthquake early warning systems

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Earthquake early warning(EEW) systems are one of the most effective ways to reduce earthquake disaster.Earthquake magnitude estimation is one of the most important and also the most difficult parts of the entire EEW system. In this paper, based on 142 earthquake events and253 seismic records that were recorded by the KiK-net in Japan, and aftershocks of the large Wenchuan earthquake in Sichuan, we obtained earthquake magnitude estimation relationships using the scand Pdmethods. The standard variances of magnitude calculation of these two formulas are ±0.65 and ±0.56, respectively. The Pdvalue can also be used to estimate the peak ground motion of velocity, then warning information can be released to the public rapidly,according to the estimation results. In order to insure the stability and reliability of magnitude estimation results, we propose a compatibility test according to the natures of these two parameters. The reliability of the early warning information is significantly improved though this test. Earthquake early warning (EEW) systems are one of the most effective ways to reduce earthquake disaster. Earthquake magnitude estimation is one of the most important and also the most difficult parts of the entire EEW system. In this paper, based on 142 earthquake events and 253 seismic records that were recorded by the KiK-net in Japan, and aftershocks of the large Wenchuan earthquake in Sichuan, we obtained earthquake magnitude estimation relationships using the scand Pdmethods. The standard variances of magnitude calculation of these two formulas are ± 0.65 and ± 0.56 , respectively. The Pdvalue can also be used to estimate the peak ground motion of velocity, then warning information can be released to the public rapid, according to the estimation results. In order to insure the stability and reliability of magnitude estimation results, we propose a compatibility test according to the natures of these two parameters. The reliability of the early warning information is significant imp roved though this test.
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