Lithospheric Structure of the Arabian–Nubian Shield Using Satellite Potential Field Data

Eldosouky, Ahmed M.; Pham, Luan Thanh; El-Qassas, Reda A. Y.; Hamimi, Zakaria; Öksüm, Erdinç

doi:10.1007/978-3-030-72995-0_6

Cited by 28 publications

(8 citation statements)

References 55 publications

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“…Using empirical linear relationship, Melouah et al (2021) estimated the Moho depth in the Triassic province. Based on satellite potential field data, Eldosouky et al (2021) calculated the Moho topography in the Arabian-Nubian Shield. Pham et al (2022) proposed an improved algorithm based on a combination of spatial and frequency domain techniques and applied it to the study of the Moho interface in the Arabian Shield.…”

Section: Introductionmentioning

confidence: 99%

Determining the Moho topography using an improved inversion algorithm: a case study from the South China Sea

Zhang,

Yu,

et al. 2024

Front. Earth Sci.

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The Parker-Oldenburg method, as a classical frequency-domain algorithm, has been widely used in Moho topographic inversion. The method has two indispensable hyperparameters, which are the Moho density contrast and the average Moho depth. Accurate hyperparameters are important prerequisites for inversion of fine Moho topography. However, limited by the nonlinear terms, the hyperparameters estimated by previous methods have obvious deviations. For this reason, this paper proposes a new method to improve the existing Parker-Oldenburg method by taking advantage of the invasive weed optimization algorithm in estimating hyperparameters. The synthetic test results of the new method show that, compared with the trial and error method and the linear regression method, the new method estimates the hyperparameters more accurately, and the computational efficiency performs excellently, which lays the foundation for the inversion of more accurate Moho topography. In practice, the method is applied to the Moho topographic inversion in the South China Sea. With the constraints of available seismic data, the crust-mantle density contrast and the average Moho depth in the South China Sea are determined to be 0.535 g/cm3 and 21.63 km, respectively, and the Moho topography of the South China Sea is inverted based on this. The results of the Moho topography show that the Moho depth in the study area ranges from 5.7 km to 32.3 km, with more obvious undulations. Among them, the shallowest part of the Moho topography is mainly located in the southern part of the Southwestern sub-basin and the southern part of the Manila Trench, with a depth of about 6 km. Compared with the CRUST 1.0 model and the model calculated by the improved Bott’s method, the RMS between the Moho model and the seismic point difference in this paper is smaller, which proves that the method in this paper has some advantages in Moho topographic inversion.

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Section: Introductionmentioning

confidence: 99%

Determining the Moho topography using an improved inversion algorithm: a case study from the South China Sea

Zhang,

Yu,

et al. 2024

Front. Earth Sci.

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“…The improvement and optimization of data acquisition techniques during the latest satellite missions enable the production of global gravity field models with unprecedented resolution and accuracy (Andersen et al, 2020;Guo et al, 2020;Müller and Wu, 2020;Gautier et al, 2022). On the other hand, the detection techniques of geological lineaments are widely and increasingly used in structural geophysics (Kamto et al, 2021;Pham et al, 2021;Eldosouky et al, 2021Eldosouky et al, ,2022aEkwok et al, 2021;al., 2022;Ekka et al, 2022;Kamto et al, 2023a). For decades, new edge detection methods have been developed by researchers to provide better results in the mapping of structural features, and to avoid the occurrence of extraneous noise which could be assigned to geological features (Wijns et al, 2005;Cooper and Cowan, 2006;Tatchum et al, 2011;Oksum et al (2021);Pham, 2021;Melouah and Pham, 2021;Pham et al, 2022;Prasad et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Structural mapping of the Goulfey-Tourba (West and Central African Rift) sedimentary basin using high-resolution gravity data

PaulGautier,

Oksum,

Lemotio

et al. 2023

Earth sci. res. j.

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The Goulfey-Tourba sedimentary basin (GTSB) is a portion of the West and Central African Rift System whose studies on its structural geology remain very limited. Belonging to the vast semi-arid Sahelian region, this sedimentary basin covers several localities in Cameroon and Chad, whose economic and social activities are highly impacted by the shortage of drinking water. In this work, a new look is taken at the geological features of this local sedimentary region. To perform this, a preliminary synthetic study is carried out to assess the performance of some classic and recent edge detection methods. The effectiveness of the recent Improved Logistic (IL) method is approved, given its ability to highlight low amplitude and deep features with a refined resolution. A regional/residual separation was applied to Bouguer gravity disturbances to avoid blurring some upper crustal structures by high-frequency anomalies. The effectiveness of this regional/residual separation has been validated by checking the absence of ringing artifacts (Gibbs phenomenon). The application of the IL method on residual gravimetric disturbances of the study area revealed a series of lineaments not yet identified by previous scientific studies. The results show a slight fracturing of the basement, with geological features mainly trending in an NW-SE direction. A newly identified geological discontinuity continuously crosses the study area from 12o45'N latitude to the southeast. Utilizing a modified and recent form of the Euler deconvolution theory (Improved Tilt-Euler method) has enabled the detection of several density sources in the GTSB, most of which correlate well with the lineaments outlined by the IL method. The improved Tilt-Euler method results show anomalous sources at more than 6 km depth beneath the Bodélé sedimentary series of the Upper Tertiary. The Euler’s linear solutions attributed to basement fractures show an average depth of 1 km. These results are undoubtedly a major contribution to refining the research of hydrogeological resources in this Sahelian area.

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“…One of the most well-known uses of magnetic and gravity techniques is the visualization of lineaments commonly associated with tectonic intrusions using different filtering procedures [1][2][3][4][5][6]. These procedures are vital because the identified lineaments usually match the lateral borders of geologic structures [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Application of High-Precision Filters on Airborne Magnetic Data: A Case Study of the Ogoja Region, Southeast Nigeria

et al. 2022

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Aeromagnetic data from the Ogoja region, Southeast Nigeria, were enhanced using high-precision methods including the tilt angle of total horizontal gradient (TAHG), the softsign function (SF), and the improved logistic function (IL) with the aim of creating a new structural map. This new map can help improve the understanding of the trend, spatial distribution, and pattern of the lineaments. The TAHG, SF, and IL methods generated geologic structures with correlating trends, distributions, and patterns. However, the SF and IL techniques mapped the borders of geologic structures more precisely. The lineaments extracted from the SF and IL maps were reduced to equator (RTE) magnetic data, and a GIS was used to create structural maps with NE–SW, NW–SE, NNE–SSW, and NNW–SSE orientations. Furthermore, the depths (0–2100 m) of these geologic structures were estimated using the tilt depth technique (TDT). The high lineament density and thin sedimentation observed in the study area were triggered by the widespread Santonian igneous intrusions associated with the Abakaliki Anticlinorium. The techniques applied in our study can be employed in areas with the same conditions around the world for the precise delineation of geologic structures from magnetic and gravity data.

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Lithospheric Structure of the Arabian–Nubian Shield Using Satellite Potential Field Data

Cited by 28 publications

References 55 publications

Determining the Moho topography using an improved inversion algorithm: a case study from the South China Sea

Determining the Moho topography using an improved inversion algorithm: a case study from the South China Sea

Structural mapping of the Goulfey-Tourba (West and Central African Rift) sedimentary basin using high-resolution gravity data

Application of High-Precision Filters on Airborne Magnetic Data: A Case Study of the Ogoja Region, Southeast Nigeria

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