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Seismology based Ground Motion Attenuation Relationship for Sendai Area

机译:基于地震学的仙海地区地面运动衰减关系

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For regions without adequate strong ground motion records, a method is developed to establish strong ground motion attenuation relationships, based on the stochastic method. Sendai area of Japan is selected as the target, since there are enough data from seismographic observation for calculation, and those from strong ground motion observation and some empirical relationships for result testing. Three parameters related to regional source and crustal medium are inversed by the micro-Genetic Algorithm. Total of 240 records from 77 small events, recorded by F-net, are adopted for the inversion. Fourier spectra are adopted as the objective function. These parameters are then taken into the stochastic method to estimate PGA. The regional ground motion attenuation relationships are compared with some strong ground motion records from K-NET and some empirical relationships to illustrate the reliability of this method.
机译:对于没有足够强大的地面运动记录的地区,基于随机方法,开发了一种方法以建立强大的地面运动衰减关系。日本仙台地区被选为目标,因为从地震观察数据进行了足够的数据,以及来自强大的地面运动观察和一些实证关系的结果测试。与区域源和地壳介质相关的三个参数由微遗传算法反转。通过F-Net录制的77个小事的总共240条记录,用于反转。傅里叶光谱被用作目标函数。然后将这些参数进入随机方法以估计PGA。将区域地面运动衰减关系与来自K-NET的一些强大的地面运动记录进行比较,以及一些经验关系来说明这种方法的可靠性。

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