Anahtar kelimeler Si s mik risk ana l i zi ; Fa y türü; Yüzey kırığı uzunl uğu; Ma ks i mum a t ım mi kta rı; Ya zıl ım; Fa ul tSta t.
Dulovo crater is located at the border of Libya Montes and surrounded by Isidis Planitia to the North and Terra Tyrrhena to the South, with SyrtisMajor Planum to the West. This is a region affected by impact, volcanic, aeolian, and
<p><strong>Introduction</strong></p> <p>Wrinkle ridges are significant landforms on planetary bodies, and most of them occur in flood basalt units of large igneous provinces, [1]-[2]. On Mars, the circum-Tharsis wrinkle ridge system developed under compressional stresses associated with the response of the lithosphere due to the Tharsis volcanic load [1]. The morphology of ridges shows large variations and may reflect subsurface fault patterns [3]&#8211;[5]. Numerous studies on their physical dimensions [6]&#8211;[10], their accommodated horizontal strain (e.g., [11]&#8211;[12]), as well as a variety of conceptual formation models (e.g., [13]&#8211;[17]) have been performed to better understand the morphologies and geodynamic significance of wrinkle ridges. A variety of tectonic models including buckling, thrust/reverse faulting, fault-bend folding, &#160;and fault propagation folding have been proposed to explain the formation of wrinkle ridges(e.g., [9]&#8211;[19]).</p> <p>Even though there are many studies on wrinkle ridges, it is still uncertain what the subsurface of these structures looks like. To get insights into the subsurface we selected sites, where deep morphological incisions provide such exposures. Hence, we used steep escarpments formed by impact craters, collapse pits, and valleys. A prerequisite for this study is the availability of high-resolution remote sensing data and digital elevation models to investigate the fault patterns that exist in the subsurface of wrinkle ridges.&#160;&#160;</p> <p><strong>Methodology</strong></p> <p>We used High-Resolution Imaging Science Experiment (HiRISE) (~0.25 m/px) [20], and Context Camera (CTX) (~6&#8211;7 m/px) [21] satellite imageries to generate high-resolution digital elevation models (DEMs) by using the Ames Stereo Pipeline [22] in combination with the Integrated System for Imagers and Spectrometers (ISIS) software [23]. CTX and HiRISE DEMs with the digital raster graphic (DRG) files were used to analyze and measure topographic offsets. We have selected twelve different study areas (with multiple outcrops from A to D) that all belong to the system of circum-Tharsis wrinkle ridges. Our area of interest includes regions at Solis Planum, at the borders of Nilus Dorsa, at the Coprates Chasma, at the south of Lunae Planum, and the Thaumasia Planum that shares significantly akin structures with a south of the Mela's Fossae (Fig. 1).</p> <p><img src="data:image/jpeg;base64, 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
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.