IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v610y2022i7931d10.1038_s41586-022-05147-5.html
   My bibliography  Save this article

Layered subsurface in Utopia Basin of Mars revealed by Zhurong rover radar

Author

Listed:
  • Chao Li

    (Chinese Academy of Sciences)

  • Yikang Zheng

    (Chinese Academy of Sciences)

  • Xin Wang

    (Chinese Academy of Sciences)

  • Jinhai Zhang

    (Chinese Academy of Sciences)

  • Yibo Wang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Ling Chen

    (University of Chinese Academy of Sciences
    Institute of Geology and Geophysics, Chinese Academy of Sciences)

  • Lei Zhang

    (Chinese Academy of Sciences)

  • Pan Zhao

    (Institute of Geology and Geophysics, Chinese Academy of Sciences)

  • Yike Liu

    (Chinese Academy of Sciences)

  • Wenmin Lv

    (Chinese Academy of Sciences)

  • Yang Liu

    (Chinese Academy of Sciences
    Chinese Academy of Sciences)

  • Xu Zhao

    (Chinese Academy of Sciences)

  • Jinlai Hao

    (Chinese Academy of Sciences)

  • Weijia Sun

    (Chinese Academy of Sciences)

  • Xiaofeng Liu

    (Peking University)

  • Bojun Jia

    (Peking University)

  • Juan Li

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Haiqiang Lan

    (Institute of Geology and Geophysics, Chinese Academy of Sciences)

  • Wenzhe Fa

    (Peking University)

  • Yongxin Pan

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Fuyuan Wu

    (University of Chinese Academy of Sciences
    Institute of Geology and Geophysics, Chinese Academy of Sciences)

Abstract

Exploring the subsurface structure and stratification of Mars advances our understanding of Martian geology, hydrological evolution and palaeoclimatic changes, and has been a main task for past and continuing Mars exploration missions1–10. Utopia Planitia, the smooth plains of volcanic and sedimentary strata that infilled the Utopia impact crater, has been a prime target for such exploration as it is inferred to have hosted an ancient ocean on Mars11–13. However, 45 years have passed since Viking-2 provided ground-based detection results. Here we report an in situ ground-penetrating radar survey of Martian subsurface structure in a southern marginal area of Utopia Planitia conducted by the Zhurong rover of the Tianwen-1 mission. A detailed subsurface image profile is constructed along the roughly 1,171 m traverse of the rover, showing an approximately 70-m-thick, multi-layered structure below a less than 10-m-thick regolith. Although alternative models deserve further scrutiny, the new radar image suggests the occurrence of episodic hydraulic flooding sedimentation that is interpreted to represent the basin infilling of Utopia Planitia during the Late Hesperian to Amazonian. While no direct evidence for the existence of liquid water was found within the radar detection depth range, we cannot rule out the presence of saline ice in the subsurface of the landing area.

Suggested Citation

  • Chao Li & Yikang Zheng & Xin Wang & Jinhai Zhang & Yibo Wang & Ling Chen & Lei Zhang & Pan Zhao & Yike Liu & Wenmin Lv & Yang Liu & Xu Zhao & Jinlai Hao & Weijia Sun & Xiaofeng Liu & Bojun Jia & Juan , 2022. "Layered subsurface in Utopia Basin of Mars revealed by Zhurong rover radar," Nature, Nature, vol. 610(7931), pages 308-312, October.
  • Handle: RePEc:nat:nature:v:610:y:2022:i:7931:d:10.1038_s41586-022-05147-5
    DOI: 10.1038/s41586-022-05147-5
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41586-022-05147-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/s41586-022-05147-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hongyan Shen & Xinsheng Li & Ruifeng Duan & Yong Zhao & Jing Zhao & Han Che & Guoxin Liu & Zhijia Xue & Changgen Yan & Jiwei Liu & Chao Jiang & Boke Li & Hong Chang & Jianqiang Gao & Yueying Yan, 2023. "Quality evaluation of ground improvement by deep cement mixing piles via ground-penetrating radar," Nature Communications, Nature, vol. 14(1), pages 1-12, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:610:y:2022:i:7931:d:10.1038_s41586-022-05147-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.