长白山玄武岩区地热异常区遥感识别

doi:10.13278/j.cnki.jjuese.201706205

吉林大学学报(地球科学版) ›› 2017, Vol. 47 ›› Issue (6): 1819-1828.doi: 10.13278/j.cnki.jjuese.201706205

长白山玄武岩区地热异常区遥感识别

闫佰忠^1,2,3, 邱淑伟^1,2,3, 肖长来³, 梁秀娟³

1. 河北地质大学水资源与环境学院, 石家庄 050031;
2. 河北省水资源可持续利用与开发重点实验室, 石家庄 050031;
3. 吉林大学地下水资源与环境教育部重点实验室, 长春 130021

收稿日期:2017-03-25 出版日期:2017-11-26 发布日期:2017-11-26
通讯作者: 肖长来(1962-),男,教授,博士生导师,主要从事水资源与水环境方面的研究,E-mail:xcl2822@126.com E-mail:xcl2822@126.com
作者简介:闫佰忠(1988-),男,讲师,博士,主要从事水资源与水环境、地下水方面的研究,E-mail:jluybz@126.com
基金资助:
国家自然科学基金项目（41572216）；吉林省地勘基金项目（地勘2014-13）；河北省教育厅自然青年项目（QN2017026）；河北地质大学博士科研启动基金项目（BQ2017011）

Potential Geothermal Fields Remote Sensing Identification in Changbai Mountain Basalt Area

Yan Baizhong^1,2,3, Qiu Shuwei^1,2,3, Xiao Changlai³, Liang Xiujuan³

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)

摘要/Abstract

摘要： 利用Landsat TM5遥感影像多光谱和热红外数据，对长白山玄武岩区地表温度场进行了反演。在此基础上，综合分析了研究区地表温度场、温泉和地热井分布特征、布格重力场及磁场4个因子，采用判别分析方法建立并验证了判别函数，对研究区地热异常区进行了识别。研究结果表明：研究区地表温度异常区主要分布在长白山天池火山口周围，此外，在区内3个中生代沉积盆地（抚松盆地、松江盆地和长白盆地）也有孤立状的高温区域分布，地表温度异常像素所占比例为2.993%；研究区潜在地热资源异常区可分为环长白山天池火山口区域、松江河-抚松县及二道白河-松江镇一带的抚松盆地和松江盆区、仙人桥地区以及长白县-十四道沟一带的长白盆地区，其中环长白山天池火山口区域地热潜在概率值均大于0.9，最大值达到1.0。该研究为地热异常区的识别提供了一条新的思路。

关键词: 地热异常区, 遥感识别, 判别分析法, 长白山玄武岩区

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

中图分类号:

P314.1

闫佰忠, 邱淑伟, 肖长来, 梁秀娟. 长白山玄武岩区地热异常区遥感识别[J]. 吉林大学学报(地球科学版), 2017, 47(6): 1819-1828.

Yan Baizhong, Qiu Shuwei, Xiao Changlai, Liang Xiujuan. Potential Geothermal Fields Remote Sensing Identification in Changbai Mountain Basalt Area[J]. Journal of Jilin University(Earth Science Edition), 2017, 47(6): 1819-1828.

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长白山玄武岩区地热异常区遥感识别

Potential Geothermal Fields Remote Sensing Identification in Changbai Mountain Basalt Area

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