Web15 de jan. de 2024 · Between the Qilian-Qinling orogens and the Ordos block, Longxi Basin is bounded by the Haiyuan fault to the north, the Liupan Shan fault to the east, the … Web1 de ago. de 2024 · We use teleseismic receiver functions computed from an ∼ 35 ‐ day nodal dataset recorded along three profiles in the northern basins of Los Angeles, California, to map the depth and shape of the sediment–basement interface and to identify possible deep fault offsets. The results show the Moho discontinuity, the bottom of the basement, …
Depth Extent and Vp/Vs Ratio of the Chenghai Fault Zone, …
Web29 de jun. de 2016 · Abstract. A velocity (Vs) and structure model is derived for the Los Angeles Basin, California based on ambient-noise surface wave and receiver-function analysis, using data from a low-cost, short-duration, dense broad-band survey (LASSIE) deployed across the basin.The shear wave velocities show lateral variations at the … Web20 de nov. de 2013 · We use 15 seismic stations, crossing the Qinling orogen (QO), Weihe graben (WG) and Ordos block (OB), to study the crustal structures by receiver functions (RFs) methods. The results show quite a difference in crustal structures and materials of three tectonic units (orogenic belt, extentional basin and stable craton). The average … dean and daniela heaton menu
array-based receiver function deconvolution method: …
Web27 de mar. de 2024 · The receiver function (RF) technique is an effective method for studying crustal structure. For a single station, the average 1-D crustal structure is usually derived by stacking the radial RFs from all back-azimuths, whereas structural variations (such as dipping discontinuities or anisotropy) can be constrained through analysis of … WebAn introduction to the receiver function analysis technique that is common in global seismology. Illustrations of seismic wave ray paths from converted and ... Webinversion of high-frequency Receiver Functions (RF) and Magnetotelluric (MT) data. Using genetic algorithm, which is more flexible to incorporate data variance in the objective function, we obtain 1D models of the main layers of the basin beneath three seismographic stations. We show that the joint inversion produces general solution from wronskian