Journal of Jilin University(Earth Science Edition) ›› 2017, Vol. 47 ›› Issue (6): 1819-1828.doi: 10.13278/j.cnki.jjuese.201706205

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Potential Geothermal Fields Remote Sensing Identification in Changbai Mountain Basalt Area

Yan Baizhong1,2,3, Qiu Shuwei1,2,3, Xiao Changlai3, Liang Xiujuan3   

  1. 1. School of Water Resources & Environment, Hebei GEO University, Shijiazhuang 050031, China;
    2. Hebei Province Key Laboratory of Sustained Utilization & Development of Water Resources, Shijiazhuang 050031, China;
    3. Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130026, China
  • Received:2017-03-25 Online:2017-11-26 Published:2017-11-26
  • Supported by:
    Supported by National Natural Science Foundation of China (41572216), Geological Exploration Fund Projects of Jilin Province (2014-13), Youth Foundation of Hebei Province Department (QN2017026) and Scientific Research Initiation Funds for PhD Scholars (BQ2017011)

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Abstract: The surface temperature of Changbai Mountain basalt area was interpreted by using Landsat TM5 multispectral and infrared data, and the potential geothermal fields were identified by using discrimination analysis on the surface temperature, hot springs and geothermal well distribution, gravity, and magnetic fields. The results show that the surface temperature abnormal areas are mainly distributed around the Tianchi volcano area on Changbai Mountain and the three Mesozoic sedimentary basins (Fusong, Songjiang, and Changbai basins). The proportion of abnormal pixel in surface temperature is 2.993%. The potential geothermal fields in the study area are divided into four regions, including the area around Changbai Mountain Tianchi volcano, Songjianghe-Fusong County, Erdaobaihe-Songjiang Country (Fusong and Songjiang basins), and Xianrenqiao-Changbai County-Shisidaogou(Changbai basin). The probability of potential geothermal resources is greater than 0.9, and the maximum value is 1.0 in Changbai Mountain Tianchi volcano region. The study provides a new approach for potential geothermal field identification.

Key words: potential geothermal filed, remote sensing identification, discrimination analysis method, Changbai Mountain basalt area

CLC Number: 

  • P314.1
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