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Basement structures over Rio Grande Rise from gravity inversion

机译:重力反转使里奥格兰德河上的地下室结构

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摘要

The basement depth in the Rio Grande Rise (RGR), South Atlantic, is estimated from combining gravity data obtained from satellite altimetry, marine surveys, bathymetry, sediment thickness and crustal thickness information. We formulate a crustal model of the region by inverse gravity modeling. The effect of the sediment layer is evaluated using the global sediment thickness model of National Oceanic and Atmospheric Administration (NOAA) and fitting the sediment compaction model to observed density values from Deep Sea Drilling Project (DSDP) reports. The Global Relief Model ETOPOI and constraining data from seismic interpretation on crustal thickness are integrated in the inversion process. The modeled Moho depth values vary between 6 and 27 km over the area, being thicker under the RGR and also in the direction of Sao Paulo Plateau. The inversion for the gravity-equivalent basement topography is applied to gravity residual data, which is free from the gravity effect of sediments and from the gravity effect of the estimated Moho interface.
机译:南大西洋里奥格兰德州立大学(RGR)的地下室深度是根据卫星测高,海洋勘测,测深,沉积物厚度和地壳厚度信息获得的重力数据估算得出的。我们通过反重力模型建立了该地区的地壳模型。使用美国国家海洋和大气管理局(NOAA)的全球沉积物厚度模型,并根据深海钻探项目(DSDP)报告中观察到的密度值,对沉积物压实模型进行拟合,来评估沉积物层的影响。反演过程中整合了全球救济模型ETOPOI和地震解释对地壳厚度的约束数据。在整个区域内,模拟的Moho深度值在6至27 km之间变化,在RGR下以及在圣保罗高原方向上都较厚。等效重力地下室地形的反演应用于重力残差数据,该数据不受沉积物的重力效应和估计的Moho界面的重力效应的影响。

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