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Modelling of sPn phases for reliable estimation of focal depths in northeastern India

机译:sPn相位建模以可靠估算印度东北部的焦深

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In North East India, reliable estimation of earthquake focal depths has always been a problem, owing to paucity of permanent regional seismic stations, constraints on good quality data and lack of crustal models in a complex tectonic terrane. The depth estimations by international agencies, mostly based on teleseismic data, vary from very shallow to even 60 km, suggestive of earthquake occurrence in the upper mantle region. However, modelling of sPn phases in earthquake waveforms that are highly sensitive to focal depths indicates that the earthquake locations are probably well within the crustal layer. The current method has the advantage that dt, the travel time difference between sPn and Pn, remains constant for a wide range of source-station distances, and hence enables easy identification of the sPn phase, while providing direct and accurate estimate of the focal depth. The approach is also insensitive to location errors and variations in crustal models, a useful feature especially while dealing with sparse data with high location errors. In the present study, earthquakes in the magnitude range 3.0-4.0 recorded by a network of nine broadband stations in NE India have been analysed. Consistent dt values at different stations were observed for each event, enabling precise depth estimation mostly within plus or minus 1 or 2 km. In general, depths of 15-20 km in the Shil-long plateau region, >20 km in the Sylhet basin region and shallow <10 km in the eastern Himalayan foothills are confirmed, that correlate well with the local tectonics. Further, we propose that the flat characteristics of the dt curve that begin to change for earthquakes below the Moho, can be a potential tool for discriminating between crustal and sub-crustal earthquakes, as well as for delineation of the Moho using dense regional seismic networks in future.
机译:在印度东北部,由于永久性区域地震台站的缺乏,对高质量数据的限制以及在复杂构造地层中缺乏地壳模型,可靠的地震震源深度估计一直是一个问题。国际机构的深度估计主要在远震数据基础上,从很浅到甚至60公里不等,表明上地幔地区发生了地震。但是,对震源深度高度敏感的地震波形中的sPn相建模表明地震位置可能在地壳层内。当前方法的优势在于,dt(sPn与Pn之间的传播时间差)在宽范围的源站距离范围内保持恒定,因此能够轻松识别sPn相位,同时提供对焦深的直接且准确的估算。该方法对位置误差和地壳模型的变化也不敏感,这是一个有用的功能,特别是在处理位置误差较大的稀疏数据时。在本研究中,已经分析了印度东北部9个宽带站网络记录的3.0-4.0级地震。对于每个事件,在不同的站点上观察到一致的dt值,从而可以在大约正负1或2 km内进行精确的深度估计。一般说来,在雪隆高原地区的深度为15-20 km,在锡尔赫特盆地地区的深度为> 20 km,在喜马拉雅山麓东部的深度小于<10 km,这与当地构造密切相关。此外,我们认为,随着莫霍面以下地震的发生,dt曲线的平坦特性开始发生变化,这可能是区分地壳地震和亚地壳地震以及使用密集区域地震网络描述莫霍面的潜在工具。在未来。

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