阿拉伯-欧亚大陆碰撞带莫霍深成像的改进:整合地震观测和卫星重力数据的机器学习方法

IF 2.7 3区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS
Vahid Teknik
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引用次数: 0

摘要

阿拉伯-欧亚大陆的汇聚形成了特提斯碰撞带中部的地形高地之一。尽管该地区具有重要的地质意义,但由于地震约束莫霍深度数据稀少且分布不均,一直缺乏全面、高分辨率的莫霍深度图。本研究针对这一不足,汇编了来自 68 个地震局部尺度研究的近 2500 个地震测量莫霍深度点的广泛数据集,从而建立了 0.5° × 0.5° 空间分辨率的最新地震约束莫霍深度模型(S-Moho)。尽管在偏远地区存在一些覆盖缺口,但 S-Moho 模型提供了比以前更详细的视图。为了进一步提高 S-Moho 深度模型的覆盖范围,采用了数据驱动的渐进方法。最初,通过将 S-Moho 深度点与相应的布格尔异常点相关联,建立了基于重力的回归莫霍深度模型(SB-Moho)。然而,其准确性受到了等静力和非等静力成分的制约。为解决这一局限性,采用了滑动窗口法,得出了一个窗口 SB-Moho 模型(WSB-Moho)。此外,利用地震莫霍深度点和 11 个预测变量,开发了基于机器学习的莫霍模型(ML-Moho)。WSB-Moho 和 ML-Moho 模型都显示出一致而平滑的莫霍深度变化。扎格罗斯地区显示出明显的西北-东南走向莫霍凹陷(厚 45-60 公里),这是由于伊朗高原下的阿拉伯板块发生了下推作用。这些模型表明,地壳增厚延伸到了构造边界之外,很可能受到缝合带倾角的影响。相比之下,扎格罗斯山脉西北部安纳托利亚东部的地壳增厚没有那么明显,这表明了不同的地球动力过程。与扎格罗斯地区较为局部的地壳增厚相比,该地区的走向滑动断层和岩浆活动导致了更广泛的变形分布。在扎格罗斯东南部,伊朗中部的走向滑动断层容纳了阿拉伯板块向北辐合的大部分,从而限制了地壳增厚的范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The improved Moho depth imaging in the Arabia-Eurasia collision zone: A machine learning approach integrating seismic observations and satellite gravity data
The Arabia-Eurasia convergences created one of the earth's topographic highs on the Central Tethys collisional belt. Despite the area's geological significance, a comprehensive and high-resolution map of Moho depth has been lacking due to the sparse and uneven distribution of seismically constrained Moho depth data. This study addresses this deficiency by compiling an extensive dataset of nearly 2500 seismically measured Moho depth points from 68 seismic local scale studies, resulting in the development of an updated seismically constrained Moho depth model (S-Moho) at a 0.5° × 0.5° spatial resolution. Despite some coverage gaps in the remote areas, the S-Moho model offers a more detailed view than previously available. To further improve the coverage of the S-Moho depth model, an incremental data-driven approach was employed. Initially, a gravity-based regression Moho depth model (SB-Moho) was developed by correlating S-Moho depth points with corresponding Bouguer anomalies. However, its accuracy was constrained by unaccounted isostatic and non-isostatic components. To address this limitation, a sliding window approach was applied to derive a windowed SB-Moho model (WSB-Moho). Additionally, a machine learning-based Moho model (ML-Moho) was developed using seismic Moho depth points along with 11 predictive variables. Both WSB-Moho and ML-Moho models demonstrated consistent and smooth Moho depth variations. The Zagros region reveals a prominent NW-SE oriented Moho depression (45-60 km thick), attributed to the underthrusting of the Arabian Plate beneath the Iranian Plateau. The models suggest that crustal thickening extends beyond tectonic boundaries, likely influenced by the dip of suture zones. In contrast, the crustal thickening in eastern Anatolia, northwest of the Zagros, is less pronounced, indicating different geodynamic processes. Strike-slip faulting and magmatic activity in this area contribute to a broader distribution of deformation compared to the more localized crustal thickening in the Zagros. In southeastern Zagros, strike-slip faults in central Iran accommodate much of the northward convergence of the Arabian Plate, thereby limiting the extent of crustal thickening.
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来源期刊
Tectonophysics
Tectonophysics 地学-地球化学与地球物理
CiteScore
4.90
自引率
6.90%
发文量
300
审稿时长
6 months
期刊介绍: The prime focus of Tectonophysics will be high-impact original research and reviews in the fields of kinematics, structure, composition, and dynamics of the solid arth at all scales. Tectonophysics particularly encourages submission of papers based on the integration of a multitude of geophysical, geological, geochemical, geodynamic, and geotectonic methods
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