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

Previous Articles     Next Articles

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)

PDF (PC)

568

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
[1] Armstead H C H. Geothermal Energy[M]. London:CRC Press, 1978:357.
[2] Watson K, Kruse F A, Hummer-Miller S. Thermal Infrared Exploration in the Carlin Trend, Northern Nevada[J]. Geophysics, 1990, 55(1):70-79.
[3] Criss R E, Champion D E. Magnetic Properties of Granitic Rocks from the Southern Half of the Idaho Batholith:Influences of Hydrothermal Alteration and Implications for Aeromagnetic Interpretation[J]. Journal of Geophysical Research:Solid Earth, 1984, 89(B8):7061-7076.
[4] Rodgers J L. The Epistemology of Mathematical and Statistical Modeling[J]. American Psychologist, 2010, 65(1):1-12.
[5] Fritz C E, Schuurman N, Roberstson C, et al. A Sco-ping Review of Spatial Cluster Analysis Techniques for Point-Event Data[J]. Geospatial Health, 2013, 7(2):183-198.
[6] Liu J K, Yu M F, Ueng S J. A Structure-Controlled Model for Hot Spring Exploration in Taiwan by Remote Sensing[J]. Geosciences Journal, 2003, 7(4):323-325.
[7] 许军强,白朝军,刘嘉宜. 基于遥感技术的长白山火山区地热预测研究[J]. 国土资源遥感,2008,1(1):68-71. Xu Junqiang, Bai Chaojun, Liu Jiayi. Geothermal Resource Prognosis Based on Remote Sensing Technology in Changbai Moutain Volcanic Area[J]. Remote Sensing for Land & Resources, 2008, 1(1):68-71.
[8] Wu Guiju, Hu Xiangyun, Huo Guangpu, et al. Geo-physical Exploration for Geothermal Resources:An Application of MT and CSAMT in Jiangxia, Wuhan, China[J]. Journal of Earth Science, 2012, 23(5):175-167.
[9] 朱炳球.地热田地球化学勘查[M].北京:地质出版社,1992:1-166. Zhu Bingqiu. Geochemical Exploration of Geothermal Field[M]. Beijing:Geology Publishing House, 1992:1-166.
[10] 张良,朱湘,李爱平,等.一种基于逻辑回归算法的水军识别方法[J]. 信息安全与技术,2015(4) 57-62. Zhang Liang, Zhu Xiang, Li Aiping, et al. The Spa-mmer Detection Based on Logistic Regression[J]. Practical Method, 2015(4):57-62.
[11] 陈江,王安建,冯雨林,等. 基于知识驱动模型的遥感找矿预测方法研究[J].中国地质,2009,36(1):238-245. Chen Jiang, Wang Anjian, Feng Yulin, et al. A Study of the Remote Sensing Ore Prognostic Method Based on a Data-Driven Model[J]. Geology in China, 2009, 36(1):238-245.
[12] Rapolla A. Study on the Earth's Structure of an Italian Geothermal Field Using Gravity and Aeromagnetic Data[J]. Geophysical Journal, 1989, 97:409-419.
[13] Moghaddam M M, Mirzaei S, Nouraliee J, et al. In-tegrated Magnetic and Gravity Surveys for Geothermal Exploration in Central Iran[J]. Arabian Journal of Geosciences, 2016, 9(7):506-531.
[14] 任志娟. SPSS中判别分析方法的正确使用[J]. 统计与决策,2006,3(3):157-159. Ren Zhijuan.The Right Use of SPSS in the Discrimination Analysis Method[J]. Statistics and Decision, 2006, 3(3):157-159.
[15] 尤金凤,邢立新,潘军,等.基于Hyperion数据的油砂分布遥感研究[J].吉林大学学报(地球科学版),2016,46(5):1589-1597. You Jinfeng, Xing Lixin, Pan Jun, et al. Application of Hyperion Hyperspectral Image for Studying on the Distribution of Oil Sands[J]. Journal of Jilin University (Earth Science Edition), 2016, 46(5):1589-1597.
[16] 李映,焦李成. 基于核Fisher判别分析的目标识别[J]. 西安电子科技大学学报,2003,30(2):179-182. Li Ying, Jiao Licheng.Target Recognition Based on Kernel Fisher Discriminant[J]. Journal of Xidian University, 2003, 30(2):179-182.
[1] WANG Nan, CAO Jian-feng, ZHAO Ji-chang, LI Shu-guang. Suitability Evaluation of the Shallow Geothermal Energy Development and Utilization in Changchun District City [J]. J4, 2012, 42(4): 1139-1144.
[2] CHEN Rui-jun, LI Yuan-Yuan, JIA Zhi. Recoverable Analysis of Geothermal Resources in Dongying Formation of Banqiao Depression through TR21-Hole Pumping Test [J]. J4, 2010, 40(1): 56-60.
[3] GAO Fang-lei，YANG Xiao-qiang，WU Guo-ai，FU Yang-rong，CHEN Yu-wen. Characteristics of Thermal Springs and Genesis of Thermal Underground Waters in Hainan Island [J]. J4, 2009, 39(2): 281-0287.
[4] Li Xueyuan, He Manchao. Planning on Region-Division of Tianjin Geothermal Reservoirs and Approval System for Geothermal Well [J]. Journal of Jilin University(Earth Science Edition), 2015, 45(2): 546-551.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Earth Science Edition), All Rights Reserved.
Tel: +86-431-88502374；13756165364　E-mail: xuebao1956@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd