首页> 外文期刊>Annals Of Geophysics >A first look at the Gargano (southern Italy) seismicity as seen by the local scale OTRIONS seismic network
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A first look at the Gargano (southern Italy) seismicity as seen by the local scale OTRIONS seismic network

机译:首先看一下当地规模的OTRIONS地震网络看到的Gargano(意大利南部)地震活动

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On April 2013, a local scale seismic network, named OTRIONS, composed of twelve short period (1 Hz) three component seismometers, has been located in the northern part of the Apulia (southern Italy). In the first two months of data acquisition, the network recorded about one hundred very small (M L 2) magnitude earthquakes. A three-layer 1D V P velocity model was preliminarily computed, using the recordings of earthquakes occurred in the area in the period 2006-2012 and recorded by the national seismic network of INGV (Istituto Nazionale di Geofisica e Vulcanologia). This model was calibrated by means of a multi-scale approach, based on a global search of the minimum misfit between observed and theoretical travel times. At each step of the inversion, a grid-search technique was implemented to infer the elastic properties of the layers, by using HYPO71 to compute the forward models. In a further step, we used P and S travel times of both INGV and OTRIONS events to infer a minimum 1D V P velocity model, using a classical linearized inversion approach. Owing to the relatively small number of data and poor coverage of the area, in the inversion procedure, the V P /V S ratio was fixed to 1.82, as inferred from a modified Wadati diagram. The final 1D velocity model was obtained by averaging the inversion results arising from nine different initial velocity models. The inferred V P velocity model shows a gradual increase of P wave velocity with increasing the depth. The model is well constrained by data until to a depth of about 25-30 km.
机译:2013年4月,位于普利亚北部(意大利南部)的本地规模地震网络OTRIONS由十二个短周期(1 Hz)三分量地震仪组成。在数据采集的前两个月中,该网络记录了大约100次非常小(ML <2)的地震。利用2006-2012年该地区发生的地震记录,并由INGV的国家地震网络记录下来,初步计算了一个三层一维V P速度模型。该模型是基于对观测和理论行程时间之间的最小失配的全局搜索,通过多尺度方法进行校准的。在反演的每个步骤中,通过使用HYPO71计算正向模型,实施了网格搜索技术来推断层的弹性特性。在进一步的步骤中,我们使用INGV事件和OTRIONS事件的P和S传播时间,使用经典的线性反演方法来推导最小1D V P速度模型。由于数据量相对较小且该区域的覆盖率较差,因此在反演过程中,V P / V S比率固定为1.82,这是根据修改的Wadati图得出的。通过对9个不同的初始速度模型产生的反演结果进行平均,可以获得最终的1D速度模型。推断的V P速度模型显示P波速度随深度增加而逐渐增加。该模型受到数据的严格约束,直到深度达到25-30 km。

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