IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i7p1735-d1624587.html
   My bibliography  Save this article

High-Quality Heat Flow Determination from Coastal Areas of Fujian Province, China

Author

Listed:
  • Yaqi Wang

    (State Key Laboratory of Lithospheric and Environmental Coevolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
    College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yibo Wang

    (State Key Laboratory of Lithospheric and Environmental Coevolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China)

  • Guangzheng Jiang

    (College of Energy, Chengdu University of Technology, Chengdu 610059, China)

  • Jie Hu

    (State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu 610059, China)

  • Shengbiao Hu

    (State Key Laboratory of Lithospheric and Environmental Coevolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
    College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

The coastal region of Fujian is part of the southeastern hilly and coastal geothermal anomaly zone and is a significant high-heat-flow area in mainland China. However, existing heat flow data suffer from low quality due to insufficient calculation depth and inadequate corrections; this hinders theoretical research and geothermal resource exploration in the region. This study obtained high-quality geothermal heat flow data through steady-state temperature measurements in six boreholes and thermal conductivity tests on 79 core samples collected in situ. The results indicate that the average heat flow values from four newly analyzed representative boreholes (HDR1, LJSZ, JM-1, DS) are 65.2 mW/m 2 , exceeding the mainland Chinese average of 60.5 mW/m 2 , highlighting the region’s high heat flow characteristics. This finding corroborates previous high-heat-flow measurements in the coastal area of Fujian and aligns with earlier studies. The research fills a gap in providing high-quality heat flow data for the region, enhances our understanding of its thermal state, and is significant for studying the distribution and development of geothermal resources in the area.

Suggested Citation

  • Yaqi Wang & Yibo Wang & Guangzheng Jiang & Jie Hu & Shengbiao Hu, 2025. "High-Quality Heat Flow Determination from Coastal Areas of Fujian Province, China," Energies, MDPI, vol. 18(7), pages 1-16, March.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:7:p:1735-:d:1624587
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/7/1735/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/7/1735/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yaqi Wang & Yibo Wang & Guangzheng Jiang & Jie Hu & Yizuo Shi & Shejiao Wang & Shengbiao Hu, 2024. "A Method for Determining Target Areas of Hot Dry Rock Resources: A Case Study in Continental China," Energies, MDPI, vol. 17(10), pages 1-15, May.
    2. Wu, Shaohua & Yu, Ziwang & Kang, Jianguo & Zhang, Yanjun & Gao, Ping, 2021. "Research on the anisotropy of thermal conductivity of rocks in Songliao basin, China," Renewable Energy, Elsevier, vol. 179(C), pages 593-603.
    Full references (including those not matched with items on IDEAS)

    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. Wei, Jianguang & Liang, Shuang & Zhang, Dong & Li, Jiangtao & Zhou, Runnan, 2023. "Frozen core experimental study on oil-water distribution characteristics at different stages of water flooding in low permeability oil reservoirs," Energy, Elsevier, vol. 278(PB).
    2. Yilong Yuan & Xinli Zhang & Han Yu & Chenghao Zhong & Yu Wang & Dongguang Wen & Tianfu Xu & Fabrizio Gherardi, 2025. "Research Progress and Technical Challenges of Geothermal Energy Development from Hot Dry Rock: A Review," Energies, MDPI, vol. 18(7), pages 1-28, March.
    3. Wang, Song & Zhang, Luqing & Zhou, Jian & Yang, Duoxing & Han, Zhenhua & Kong, Yanlong, 2024. "Quantitative analysis of fracture network geometry on fluid flow and heat transfer in hot dry rock geothermal reservoirs," Energy, Elsevier, vol. 313(C).
    4. Yu, Ziwang & Ye, Xiaoqi & Zhang, Yanjun & Gao, Ping & Huang, Yibin, 2023. "Experimental research on the thermal conductivity of unsaturated rocks in geothermal engineering," Energy, Elsevier, vol. 282(C).

    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:18:y:2025:i:7:p:1735-:d:1624587. 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.