IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i8p2170-d164600.html
   My bibliography  Save this article

Magnetotelluric Imaging of the Zhangzhou Basin Geothermal Zone, Southeastern China

Author

Listed:
  • Chaofeng Wu

    (Hubei Subsurface Multi-Scale Imaging Key Laboratory, Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China)

  • Xiangyun Hu

    (Hubei Subsurface Multi-Scale Imaging Key Laboratory, Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China)

  • Guiling Wang

    (Hubei Subsurface Multi-Scale Imaging Key Laboratory, Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China
    Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang 050061, China)

  • Yufei Xi

    (Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang 050061, China)

  • Wenjing Lin

    (Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang 050061, China)

  • Shuang Liu

    (Hubei Subsurface Multi-Scale Imaging Key Laboratory, Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China
    Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China)

  • Bo Yang

    (Hubei Subsurface Multi-Scale Imaging Key Laboratory, Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China)

  • Jianchao Cai

    (Hubei Subsurface Multi-Scale Imaging Key Laboratory, Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China)

Abstract

The geothermal zone of southeast China, which is one of the country’s known geothermal zones, contains significant natural geothermal resources. To understand the formation of geothermal resources, a magnetotelluric (MT) investigation with a site spacing of 1–2 km was carried out around the Zhangzhou Basin. The recorded MT data were processed by robust time series and remote reference processing techniques. The data analysis results revealed that two-dimensional (2-D) modeling can be used to approximately determine the electrical structure. The joint inversions of TE and TM modes have been performed after distortion decomposition. In the inversion models, a low resistivity cap of 200–800 m thickness was observed, which represented the blanketing sediments composed of Quaternary and volcanic rocks of the late Jurassic period. The presence of high resistivity above a depth of 20 km indicates the granites are widely developed in the upper and middle crust. MT measurements have revealed some deep-seated high conductive zones, which were inferred to be partially melting at depth of 8–17 km, which is likely to be reason behind the formation of higher-temperature hot springs. The results also show that there is a shallower Moho, which indicates that the heat from the upper mantle may have a big contribution to the surface heat flow. Fractures-controlled meteoric fluid circulation is the most likely explanation for the hot springs.

Suggested Citation

  • Chaofeng Wu & Xiangyun Hu & Guiling Wang & Yufei Xi & Wenjing Lin & Shuang Liu & Bo Yang & Jianchao Cai, 2018. "Magnetotelluric Imaging of the Zhangzhou Basin Geothermal Zone, Southeastern China," Energies, MDPI, vol. 11(8), pages 1-15, August.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:8:p:2170-:d:164600
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/8/2170/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/8/2170/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lanfang He & Ling Chen & Dorji & Xiaolu Xi & Xuefeng Zhao & Rujun Chen & Hongchun Yao, 2016. "Mapping the Geothermal System Using AMT and MT in the Mapamyum (QP) Field, Lake Manasarovar, Southwestern Tibet," Energies, MDPI, vol. 9(10), pages 1-13, October.
    2. M. J. Unsworth & A. G. Jones & W. Wei & G. Marquis & S. G. Gokarn & J. E. Spratt, 2005. "Crustal rheology of the Himalaya and Southern Tibet inferred from magnetotelluric data," Nature, Nature, vol. 438(7064), pages 78-81, November.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Jian Kuang & Shihua Qi & Xiangyun Hu & Zhong Liu, 2022. "Mechanism of reservoir-induced seismicity in the Xinfengjiang reservoir area, Guangdong, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(2), pages 2059-2076, March.
    2. Wenlong Zhou & Xiangyun Hu & Shilong Yan & Hongdang Guo & Wei Chen & Sijing Liu & Chunyan Miao, 2020. "Genetic Analysis of Geothermal Resources and Geothermal Geological Characteristics in Datong Basin, Northern China," Energies, MDPI, vol. 13(7), pages 1-19, April.
    3. Marwan Marwan & Muhammad Yanis & Gartika Setiya Nugraha & Muzakir Zainal & Nasrul Arahman & Rinaldi Idroes & Dian Budi Dharma & Deni Saputra & Poernomo Gunawan, 2021. "Mapping of Fault and Hydrothermal System beneath the Seulawah Volcano Inferred from a Magnetotellurics Structure," Energies, MDPI, vol. 14(19), pages 1-22, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yongzhu Xiong & Mingyong Zhu & Yongyi Li & Kekun Huang & Yankui Chen & Jingqing Liao, 2022. "Recognition of Geothermal Surface Manifestations: A Comparison of Machine Learning and Deep Learning," Energies, MDPI, vol. 15(8), pages 1-29, April.
    2. Jianwei Zhao & Zhaofa Zeng & Shuai Zhou & Jiahe Yan & Baizhou An, 2023. "3-D Inversion of Gravity Data of the Central and Eastern Gonghe Basin for Geothermal Exploration," Energies, MDPI, vol. 16(5), pages 1-16, February.
    3. Baohua Zhang & Hongzhan Fei & Jianhua Ge & Lingsen Zeng & Qunke Xia, 2022. "Crustal melting in orogenic belts revealed by eclogite thermal properties," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    4. Zhanwu Lu & Xiaoyu Guo & Rui Gao & Michael Andrew Murphy & Xingfu Huang & Xiao Xu & Sanzhong Li & Wenhui Li & Junmeng Zhao & Chunsen Li & Bo Xiang, 2022. "Active construction of southernmost Tibet revealed by deep seismic imaging," Nature Communications, Nature, vol. 13(1), pages 1-8, December.

    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:gam:jeners:v:11:y:2018:i:8:p:2170-:d:164600. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.