在伊朗的Moho深度测定中,使用重力梯度数据的最小方位拼接方法.
Hadi Heydarizadeh Shali1, Carlo Iapige De Gaetani2, Riccardo Barzaghi2
1Center for Earthquake Research and Information, University of Memphis, Memphis, TN, USA.
Heliyon
|February 6, 2024
概括
这项研究使用重力数据和最小平方拼接 (LSC) 绘制了莫霍罗维奇奇不连续性深度. 该方法准确地估计了伊朗高原的莫霍深度变化,与地震数据进行验证.
科学领域:
- 地质物理学 地质物理学
- 地球科学 地球科学 地球科学
- 重力测量学是一种重力测量学.
背景情况:
- 莫霍维奇不连续性 (Moho) 深度对于理解地球地结构至关重要.
- 之前的莫霍深度估计方法在空间分辨率和精度方面存在局限性.
研究的目的:
- 开发和应用一种新的方法来绘制莫罗维奇断层深度的空间可变性.
- 通过使用重力数据和最小平方配置 (LSC) 方法,估计伊朗高原的莫霍深度.
主要方法:
- 使用重力观测和最小平方配置 (LSC) 方法.
- 采用一个采用赫尔默特凝结的球形双层异静态模型.
- 从GOCO06S的重力数据中估计莫霍深度,通过地形,水度和沉积物效应减小 (GEBCO2021,CRUST1.0).
主要成果:
- 成功估计了伊朗高原的莫霍深度.
- 当与地震莫霍深度相匹配时,达到3公里的标准偏差.
- 确定了差异较大的区域,特别是在扎格罗斯山脉和里海沿岸.
结论:
- 开发的LSC方法为绘制Moho深度空间变异性提供了一种可靠的方法.
- 结果为伊朗高原的地结构提供了宝贵的见解.
- 该方法的准确性由其与地震基准值的一致性来验证.
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