Anatomy of landslides along the Dead Sea Transform Fault System in NW Jordan

Dill, Harald G.; Hahne, Kai; Shaqour, Fathi M.

doi:10.1016/j.geomorph.2011.12.031

Cited by 6 publications

(2 citation statements)

References 24 publications

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“…The activity of the above phenomena suggests the recent instability of the scarp. It may have caused either by recent tectonic activity or by the exhumation of presently inactive faults (Gallousi and Koukouvelas, 2007;Fubelli et al, 2009;Goswami et al, 2011;Dill et al 2012). Landslides corresponding to supposed faults were observed and described in the neighbouring Middle Burgenland by Fellner and Hermann (1993).…”

Section: Geomorphologymentioning

confidence: 99%

Verification of Late Miocene to Quaternary structural control on landforms: a case study with comprehensive methodology from a low hilly area (western Pannonian Basin)

Kovács¹,

Fodor²,

Kövér³

et al. 2015

AJES

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The transition zone between the subsiding western Pannonian Basin and the uplifting Eastern Alps is a slightly undulating hilly realm, consisting of large plateaus, pediment surfaces and locally steep scarps. These rectilinear slopes are considered as being controlled by structural elements as suggested by the digital elevation model (DEM), although a simple denudation origin cannot be ruled out from surface data only. One of the steep slopes, the Torony scarp is situated E from the Eisenberg-Vas Hill and was investigated with diverse methods: 2D electric tomography, 1D electric resistivity data, correlation of borehole data and fault-slip analysis. The dense network of shallow boreholes and the applied geophysical methods constraints well the structural geometry of the Upper Miocene (Pannonian) lignite layers. While Miocene layers were only very slightly tilted away from the Torony scarp, they are faulted and folded just below the scarp. Correlation of layers on both sides of the scarp is not unequivocal, thus the exact total vertical displacement can only be estimated between 25-50 meters.Observations are in agreement with the assumptions based on the DEM: the Torony segment of the Arany creek is controlled by a fault system. The fault system is composed of two sets: a NE-SW and one (W)NW-(E)SE striking. The former can be interpreted as en echelon faults, while the latter set as connecting fault splays between the main en echelon segments. Outcrop-scale observations revealed partly syn-sedimentary Late Miocene and partly younger normal faulting. Based on the age of the underlying sedimentary units the Torony fault system could not start earlier than 8.7 Ma, most probably at 8.3 Ma. On the other hand, the deformation partly post-dates the Late Miocene layers. Depending on correlation of lignite strata across the fault zone and on the concept on the denudation process, the post-sedimentary part of faulting could be pre-Quaternary or Quaternary. Presence of active mass movements and deeply eroded gullies suggest that the slope is still unstable; this may be an indirect indication of fault-controlled slope development. The Torony fault is part of a system of Late Miocene or younger faults which partly reactivated, partly dissected the earlier syn-rift (late Early to Mid-Miocene) faults of the western Pannonian Basin. Besides the structural results, this paper emphasizes the advantage and necessity of simultaneous usage of geophysical measurements, field observations, morphological investigations and borehole data.

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Section: Geomorphologymentioning

confidence: 99%

Verification of Late Miocene to Quaternary structural control on landforms: a case study with comprehensive methodology from a low hilly area (western Pannonian Basin)

Kovács¹,

Fodor²,

Kövér³

et al. 2015

AJES

View full text Add to dashboard Cite

show abstract

“…The resolution is based on a technical approach of quantitative data processing (Smith & Sandwell, 2003): 15 arc second for GEBCO (Figure 1 and Figure 8) and 1 arc minute for ETOPO1 (Figure 5). GEBCO, SRTM, and ETOPO1 data are widely used in geospatial visualization and engineering (Dill et al, 2012;Drăguţ & Eisank, 2012;Oruç et al, 2019;Lemenkova, 2020cLemenkova, , 2020d due to the exceptionally high quality and reliability which ensures the most comprehensive view of the Earth's topography.…”

Section: Data Collection and Integration / Prikupljanje I Integracija...mentioning

confidence: 99%

Big Earth Data Processing Using Machine Learning for Integrated Mapping of the Dead Sea Fault, Jordan

Lemenkova

2022

GSFUBL

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In this research, an integrated framework on the big Earth data analysis has been developed in the context of the geomorphology of Jordan. The research explores the correlation between several thematic datasets, including machine learning and multidisciplinary geospatial data. GIS mapping is widely used in geological mapping as the most adequate technical tool for data visualization and analysis. GIS applications encourage geological prospective modeling by visualizing data aimed at the prognosis of mineral resources. However, automatization using machine learning for big Earth data processing provides the speed and accurate processing of multisource massive datasets. This is enabled by the application of scripting and programming in cartographic techniques. This study presents the combined machine learning methods of cartographic analysis and big Earth data modeling. The objective is to analyze a correlation between the factors affecting the geomorphological shape of Jordan with respects to the Dead Sea Fault and geological evolution. The technical methodology includes the following three independent tools: 1) Generic Mapping Tools (GMT); 2) Selected libraries of R programming language; 3) QGIS. Specifically, the GMT scripting program was used for topographic, seismic and geophysical mapping, while QGIS was used for geologic mapping and R language for geomorphometric modeling. Accordingly, the workflow is logically structured through these three technical tools, representing different cartographic approaches for data processing. Data and materials include multisource datasets of the various resolution, spatial extent, origin and formats. The results presented cartographic layouts of qualitative and quantitative maps with statistical summaries (histograms). The novelty of this approach is explained by the need to close a technical gap between the traditional GIS and scripting mapping, which is wider for big data mapping and where the crucial factors are speed and precision of data handling, as well as effective visualization achieved by the machine graphics. The paper analyzes the underlying geologic processes affecting the formation of geomorphological landforms in Jordan with a 3D visualization of the selected fragment of the Dead Sea Fault zone. The research presents an extended description in methodology, including the explanations of code snippets from the GMT modules and examples of the use of R libraries ‘raster’ and ‘tmap’. The results revealed strong correlation between the geological and geophysical settings which affect geomorphological patterns. Integrated study of the geomorphology of Jordan was based on multisource datasets processed by scripting. A thorough analysis presented regional correlations between the geomorphological, geological and tectonic settings in Jordan. The paper contributed both to the development of cartographic engineering by introducing scripting techniques and to the regional studies of Jordan including the Dead Sea Fault as a special region of Jordan. The results include 12 new thematic maps including a 3D model.

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An Overview on 40 Years of Remote Sensing Geology Based on Arab Examples

Deroin¹

2018

The Geology of the Arab World---an Overview

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Anatomy of landslides along the Dead Sea Transform Fault System in NW Jordan

Cited by 6 publications

References 24 publications

Verification of Late Miocene to Quaternary structural control on landforms: a case study with comprehensive methodology from a low hilly area (western Pannonian Basin)

Verification of Late Miocene to Quaternary structural control on landforms: a case study with comprehensive methodology from a low hilly area (western Pannonian Basin)

Big Earth Data Processing Using Machine Learning for Integrated Mapping of the Dead Sea Fault, Jordan

An Overview on 40 Years of Remote Sensing Geology Based on Arab Examples

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