Crustal thickness variations beneath Egypt through gravity inversion and forward modeling: linking surface thermal anomalies and Moho topography

IF 3.5 3区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Ahmed Mohamed Bekhit, Mohamed Sobh, Mohamed Abdel Zaher, Tharwat Abdel Fattah, Ahmed I. Diab
{"title":"Crustal thickness variations beneath Egypt through gravity inversion and forward modeling: linking surface thermal anomalies and Moho topography","authors":"Ahmed Mohamed Bekhit, Mohamed Sobh, Mohamed Abdel Zaher, Tharwat Abdel Fattah, Ahmed I. Diab","doi":"10.1186/s40645-024-00639-6","DOIUrl":null,"url":null,"abstract":"<p>This study aims to quantify the topography of the Moho boundary, the lower crust and uppermost mantle contact of Egypt, in order to estimate the crustal thickness variation and its link to the distribution of thermal anomalies under Egypt. This is accomplished by modeling satellite gravity, supported by the passive seismic constraints throughout Egypt. However, when estimating the thickness of the crust in Egypt using just seismic data, substantial uncertainty and deviation are produced due to the sparsely dispersed stations. Integrating seismic and gravity data minimizes uncertainty and improves estimate accuracy. The investigation is broken down into four stages, the first involving utilizing the Sentinel-3B satellite to create land surface temperature maps. The subsequent steps consist of gravity and seismic data adjustments, inversion and forward modeling. We used seismically restricted nonlinear inversion to look at Goco06s satellite gravity data to model the Moho’s topographic surface. The data gathered from deep seismic refraction and receiver functions adjusted the analyzed data. The inversion process relies on the adapted Bott's approach and Tikhonov regularization, using the assumption of the sphericity of the Earth planet. Reference values for depth of Moho and density contrast were set at 35 km and 500 kg/m<sup>3</sup>, respectively. The average statistical difference for Moho depth between gravity-based model and seismic data is − 0.10 km. Through forward gravity modeling, five gravity profiles were chosen and interpreted in 2.5D models. The results indicated that the Moho depth in the south varies from 35 to 39 km and decreases in the north and the Mediterranean. In upper Egypt, the highest Moho depth is 39 km. The depth varies beneath the Sinai Peninsula as it is about 35 km in its south, reaches 30 km in the northern portion, and ranges along the Red Sea’s Rift Margin from 29 to 32 km. Moreover, the final model shows the relation between Moho coincides with the surface temperature anomalies approved by satellite images and hot springs. The model reveals a correlation between Moho discontinuity and surface temperature anomalies, revealing the highest geothermal potential in a rectangular area in central Egypt, between latitudes 25°N and 30°N, based on satellite imagery and hot springs distribution.</p>\n","PeriodicalId":54272,"journal":{"name":"Progress in Earth and Planetary Science","volume":"25 1","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Earth and Planetary Science","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1186/s40645-024-00639-6","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

This study aims to quantify the topography of the Moho boundary, the lower crust and uppermost mantle contact of Egypt, in order to estimate the crustal thickness variation and its link to the distribution of thermal anomalies under Egypt. This is accomplished by modeling satellite gravity, supported by the passive seismic constraints throughout Egypt. However, when estimating the thickness of the crust in Egypt using just seismic data, substantial uncertainty and deviation are produced due to the sparsely dispersed stations. Integrating seismic and gravity data minimizes uncertainty and improves estimate accuracy. The investigation is broken down into four stages, the first involving utilizing the Sentinel-3B satellite to create land surface temperature maps. The subsequent steps consist of gravity and seismic data adjustments, inversion and forward modeling. We used seismically restricted nonlinear inversion to look at Goco06s satellite gravity data to model the Moho’s topographic surface. The data gathered from deep seismic refraction and receiver functions adjusted the analyzed data. The inversion process relies on the adapted Bott's approach and Tikhonov regularization, using the assumption of the sphericity of the Earth planet. Reference values for depth of Moho and density contrast were set at 35 km and 500 kg/m3, respectively. The average statistical difference for Moho depth between gravity-based model and seismic data is − 0.10 km. Through forward gravity modeling, five gravity profiles were chosen and interpreted in 2.5D models. The results indicated that the Moho depth in the south varies from 35 to 39 km and decreases in the north and the Mediterranean. In upper Egypt, the highest Moho depth is 39 km. The depth varies beneath the Sinai Peninsula as it is about 35 km in its south, reaches 30 km in the northern portion, and ranges along the Red Sea’s Rift Margin from 29 to 32 km. Moreover, the final model shows the relation between Moho coincides with the surface temperature anomalies approved by satellite images and hot springs. The model reveals a correlation between Moho discontinuity and surface temperature anomalies, revealing the highest geothermal potential in a rectangular area in central Egypt, between latitudes 25°N and 30°N, based on satellite imagery and hot springs distribution.

Abstract Image

通过重力反演和前向建模分析埃及地下地壳厚度变化:将地表热异常与莫霍地形联系起来
本研究旨在量化埃及下地壳和上地幔接触处莫霍边界的地形,以估算地壳厚度变化及其与埃及地下热异常分布的联系。这是通过卫星重力建模并辅以埃及全境的被动地震约束来实现的。然而,在仅使用地震数据估算埃及地壳厚度时,由于台站稀疏分散,会产生很大的不确定性和偏差。整合地震和重力数据可最大限度地减少不确定性,提高估算精度。调查分为四个阶段,第一阶段包括利用哨兵-3B 卫星绘制地表温度图。随后的步骤包括重力和地震数据调整、反演和前向建模。我们利用地震限制非线性反演来研究 Goco06s 卫星重力数据,从而建立莫霍地形表面模型。从深层地震折射和接收函数中收集的数据对分析数据进行了调整。反演过程依赖于经调整的 Bott's 方法和 Tikhonov 正则化,使用地球行星球面性假设。莫霍河深度和密度对比的参考值分别定为 35 千米和 500 千克/立方米。基于重力模型的莫霍深度与地震数据的平均统计差异为-0.10 千米。通过前向重力建模,选择了五个重力剖面,并在 2.5D 模型中进行了解释。结果表明,南部的莫霍深在 35 至 39 千米之间,北部和地中海地区的莫霍深有所减小。在埃及上部,莫霍深度最高,为 39 千米。西奈半岛下方的莫霍深各不相同,南部约为 35 千米,北部达到 30 千米,沿红海裂谷边缘的莫霍深在 29 至 32 千米之间。此外,最终模型显示,莫霍线与卫星图像和温泉批准的地表温度异常之间的关系相吻合。该模型揭示了莫霍面不连续与地表温度异常之间的相关性,根据卫星图像和温泉分布,揭示了埃及中部北纬 25 度至 30 度之间矩形区域的最高地热潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Progress in Earth and Planetary Science
Progress in Earth and Planetary Science Earth and Planetary Sciences-General Earth and Planetary Sciences
CiteScore
6.50
自引率
5.10%
发文量
59
审稿时长
31 weeks
期刊介绍: Progress in Earth and Planetary Science (PEPS), a peer-reviewed open access e-journal, was launched by the Japan Geoscience Union (JpGU) in 2014. This international journal is devoted to high-quality original articles, reviews and papers with full data attached in the research fields of space and planetary sciences, atmospheric and hydrospheric sciences, human geosciences, solid earth sciences, and biogeosciences. PEPS promotes excellent review articles and welcomes articles with electronic attachments including videos, animations, and large original data files. PEPS also encourages papers with full data attached: papers with full data attached are scientific articles that preserve the full detailed raw research data and metadata which were gathered in their preparation and make these data freely available to the research community for further analysis.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信