Ebadi Sahar, Safari Abdolreza, Barzaghi Riccardo, Bahroudi Abbas
School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy.
Heliyon. 2020 Mar 24;6(3):e03636. doi: 10.1016/j.heliyon.2020.e03636. eCollection 2020 Mar.
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.
本研究旨在通过利用重力数据与地震信息的配置方法来确定伊朗莫霍面的深度。由于该地区地质复杂，还具有独特的构造和造山事件，因此确定伊朗地区的莫霍面具有相当重要的意义。我们将配置方法应用于莫霍面恢复，使用由GOCO03S模型生成的重力数据，并减去了来自CRUST1.0的地形/水深、沉积物和固结地壳效应。这些数据已通过地震莫霍面深度估计进行了补充。在伊朗收集了213个点的地震深度汇编，并用于重力-地震综合反演。其中，140个地震点被完全随机选择，并作为数据纳入莫霍面深度估计的综合配置方法中。其余73个地震点被用作验证估计莫霍面的检验点。在第一次运行中，仅考虑重力数据进行莫霍面恢复的配置。将该重力解与73个地震检验点进行比较时，发现标准差为6.2千米。在配置方法中考虑区域地震深度时，我们的结果与地震检验莫霍面深度之间残差的标准差提高到了4.9千米。必须指出的是，即使在综合反演中，里海盆地南部的地震莫霍面与重力-地震综合莫霍面之间仍存在显著差异。CRUST1.0的低质量可能解释了该地区的这种不一致性。
