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  2. 地质与地球物理研究所
  3. 中国科学院地质与地球物理研究所
  4. 中国科学院地球与行星物理重点实验室
SHARAD study on the structures and permittivity of a buried impact crater in Martian Central Elysium Planitia

文献类型：期刊论文

作者Fang, Peng1,2,3; Fa, Wenzhe4; Zhang, Jinhai2; Lin, Yangting2
刊名SCIENCE CHINA-EARTH SCIENCES
出版日期2023-05-30
页码11
ISSN号1674-7313
关键词Mars Elysium Planitia SHARAD Buried crater Permittivity inversion
DOI10.1007/s11430-022-1062-1
英文摘要The Elysium Planitia, located in the transition zone between the northern and southern hemispheres, is one of the key areas for studying the stratigraphic structure and geological history of Mars. Previous studies have shown that this plain has undergone complex surface modification processes including fluvial and volcanic processes, and systematic progress has been made in the study of macro-geological processes. However, there are relatively few studies on the regional structure of the plain, which restricts our understanding of the regional geological processes. A buried impact crater in the central part of the Elysium Planitia could have recorded the surface modification process since the formation of the impact crater; however, it is difficult to distinguish the subsurface stratigraphy due to the weak orbital radar reflection signal. In this study, we denoised Shallow Radar data and obtained a radargram with clear subsurface reflectors. We estimated the permittivity of subsurface materials via a multilayer reflection model. The results show that two subsurface reflectors divide the structure of the buried impact crater into three layers (overlying layer, underlying layer, and bottom layer). The shallow subsurface reflector covers almost the whole impact crater, while the deep subsurface reflector covers only the southwest part of the impact crater. Combining the permittivity inversion results with the geological background of lava activity in the Elysium Planitia area, we argue that the overlying layer may be a mixture of regolith and lava flow with low density, while the underlying layer and bottom layer are dense lava flows. The reflector between the underlying layer and bottom layer is probably a thin deposit derived from weathering between two lava activities, and its possible formation mechanism is as follows: the crater rim and peripheral ejecta has undergone relatively strong wind erosion and the eroded material was transport to the southwestern part of the impact crater, forming continuous thin deposits, between the emplacements of two lava flows. This is consistent with the wind erosion environment prevailing at low latitudes in the Late Amazonian of Mars. This study uses processed orbital radar data, dielectric property inversion, and geological structure interpretation of regional buried impact craters as a local example to demonstrate how radar data can be used to understand regional depositional processes, and it serves as a reference for studying the geological history of similar regional structures on Mars.
WOS关键词MEDUSAE FOSSAE FORMATION ; POLAR DEPOSITS ; MARS ; ICE ; SURFACE ; REGION ; SCALE ; DRY
资助项目National Natural Science Foundation of China[41941002] ; Key Research Program of the Institute of Geology and Geophysics, CAS[IGGCAS-202203] ; Key Research Program of the Chinese Academy of Sciences[ZDBS-SSW-TLC001] ; Open Research Program of the International Research Center of Big Data for Sustainable Development Goals[CBAS2022GSP06]
WOS研究方向Geology
语种英语
出版者SCIENCE PRESS
WOS记录号WOS:000999562900001
资助机构National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Open Research Program of the International Research Center of Big Data for Sustainable Development Goals ; Open Research Program of the International Research Center of Big Data for Sustainable Development Goals ; Open Research Program of the International Research Center of Big Data for Sustainable Development Goals ; Open Research Program of the International Research Center of Big Data for Sustainable Development Goals ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Open Research Program of the International Research Center of Big Data for Sustainable Development Goals ; Open Research Program of the International Research Center of Big Data for Sustainable Development Goals ; Open Research Program of the International Research Center of Big Data for Sustainable Development Goals ; Open Research Program of the International Research Center of Big Data for Sustainable Development Goals ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Open Research Program of the International Research Center of Big Data for Sustainable Development Goals ; Open Research Program of the International Research Center of Big Data for Sustainable Development Goals ; Open Research Program of the International Research Center of Big Data for Sustainable Development Goals ; Open Research Program of the International Research Center of Big Data for Sustainable Development Goals ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Institute of Geology and Geophysics, CAS ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Open Research Program of the International Research Center of Big Data for Sustainable Development Goals ; Open Research Program of the International Research Center of Big Data for Sustainable Development Goals ; Open Research Program of the International Research Center of Big Data for Sustainable Development Goals ; Open Research Program of the International Research Center of Big Data for Sustainable Development Goals
源URL[http://ir.iggcas.ac.cn/handle/132A11/110997]  
专题地质与地球物理研究所_中国科学院地球与行星物理重点实验室
地质与地球物理研究所_深部资源勘探装备研发
通讯作者Zhang, Jinhai
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Engn Lab Deep Resources Equipment & Technol, Beijing 100029, Peoples R China
2.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Earth & Planetary Phys, Beijing 100029, Peoples R China
3.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100029, Peoples R China
4.Peking Univ, Inst Remote Sensing & Geog Informat Syst, Sch Earth & Space Sci, Beijing 100029, Peoples R China
推荐引用方式
GB/T 7714		 Fang, Peng,Fa, Wenzhe,Zhang, Jinhai,et al. SHARAD study on the structures and permittivity of a buried impact crater in Martian Central Elysium Planitia[J]. SCIENCE CHINA-EARTH SCIENCES,2023:11.
APA Fang, Peng,Fa, Wenzhe,Zhang, Jinhai,&Lin, Yangting.(2023).SHARAD study on the structures and permittivity of a buried impact crater in Martian Central Elysium Planitia.SCIENCE CHINA-EARTH SCIENCES,11.
MLA Fang, Peng,et al."SHARAD study on the structures and permittivity of a buried impact crater in Martian Central Elysium Planitia".SCIENCE CHINA-EARTH SCIENCES (2023):11.

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来源：地质与地球物理研究所

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