首页> 美国卫生研究院文献>Heliyon >A recovered Moho model by integrated inversion of gravity and seismic depths in Iran
【2h】

A recovered Moho model by integrated inversion of gravity and seismic depths in Iran

机译:通过对伊朗重力和地震深度进行综合反演得到的恢复的Moho模型

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

This research aims to define the depth of Moho in Iran by collocation method using gravimetric data with seismic information. The definition of the Moho in the Iranian region is of considerable importance due to the geological complexity of the area also characterized by tectonic and orogenic events of particular uniqueness. We applied the collocation method to Moho recovery using the gravity data generated by GOCO03S model reduced by topography/bathymetry, sediment and consolidated crust effects from CRUST1.0. These data have been complemented with seismic Moho depth estimates. A compilation of 213-points seismic depth has been collected over Iran and used in the integrated gravimetric-seismic inversion. Among them, 140 seismic points have been selected completely random and included as data in the integrated collocation approach for Moho depth estimation. The 73 remaining seismic points have been used as checking points for validating the estimated Moho. In the first run, gravity data only have been considered to collocation Moho recovery. When comparing this gravimetric solution with the 73 seismic checking points, a standard deviation of 6.2 km was found. In case of considering the regional seismic depths into the collocation approach, the standard deviation of the residuals between our results and seismic checking Moho depths improved to 4.9 km. It must be stated that, even in the integrated inversion, a significant discrepancy between the seismic and the integrated gravimetric-seismic Moho is present in the South Caspian Basin. Low quality of CRUST1.0 could explain this inconsistency in this area.
机译:这项研究旨在通过使用重力数据和地震信息的搭配方法来确定伊朗的莫霍面深度。由于该地区的地质复杂性也具有特殊的构造和造山事件特征,因此在伊朗地区对莫霍面的定义非常重要。我们使用了GOCO03S模型生成的重力数据(通过地形/测深法减少了沉积物和CRUST1.0中的固结效应),将配位方法应用于Moho回收。这些数据已得到Moho地震深度估计的补充。伊朗已收集了213点地震深度的汇编,并用于综合重力地震反演。其中,已完全随机选择了140个地震点,并将其作为数据整合到Moho深度估计的综合配置方法中。剩下的73个地震点已用作检验点,以验证估算的Moho。在第一轮中,仅考虑重力数据来配置Moho恢复。当将该重量解与73个地震检查点进行比较时,发现标准差为6.2 km。如果在配置方法中考虑区域地震深度,则我们的结果与地震检查Moho深度之间的残差标准差可提高至4.9 km。必须指出的是,即使在整体反演中,南里海盆地也存在着地震和整体重力地震莫霍面之间的巨大差异。 CRUST1.0的低质量可能解释了此方面的不一致。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号