Simultaneous Inversion of Source Parameters and Attenuation Factor Using Genetic Algorithms
Simultaneous Inversion of Source Parameters and Attenuation Factor Using Genetic Algorithms
复制标题
使用遗传算法同时反演源参数和衰减因子
DOI:
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发表时间:
2005
期刊:
影响因子:
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通讯作者:
Maria Dolores Romacho
中科院分区:
文献类型:
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作者:
Abigail Jiménez;José Manuel Pacheco García;Maria Dolores Romacho
A method to determine the spectral parameters, spectral level Ω 0 , corner frequency f 0 , and attenuation factor Q , using a genetic algorithm (ga), is presented. An adequate strategy for the ga was chosen by means of the 2D Ackley function. For modeling the seismic spectrum, a Boatwright source model and an attenuation factor independent of the frequency were used. Several objective functions are tested, and the best was found to be the L2 norm of the log difference between the observed and modeled spectra. To check the accuracy of the method, some tests with synthetic spectra were made, including spectra with noise. Real data, which have been already studied with other spectral methods, were analyzed to compare the results. The spectral parameters of 13 earthquakes (Granada, southern Spain) were calculated, as well as its source parameters: the seismic moment M 0 , the source radius r , and the stress drop Δ σ , following Brune’s model. The seismic moments ranged from 3.65E + 17 to 9.98E + 18 dyne cm; the radii were between 0.08 and 0.2 km, and the static stress drops ranged from 0.32 to 1.73 bars. The attenuation factors ranged from 53 to 726, with an averaged value of 303. The results obtained are similar to those obtained by other researchers working with events of comparable magnitudes in the region.