ArcGIS和RS技术在高植被覆盖率地区地热资源勘查中的应用
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Application of ArcGIS and RS Technology in Exploration of Geothermal Resources at High Vegetation Coverage Ratio Area
  • 作者:赵珍 ; 李贵仁 ; 陈刚
  • 英文作者:Zhao Zhen;Li Guiren;Chen Gang;North China Engineering Investigation Institute Co.,Ltd.;School of Environmental Studies,China University of Geosciences (Wuhan);
  • 关键词:地热资源勘查 ; 地热异常区 ; 热红外遥感 ; 地表温度反演
  • 英文关键词:geothermal resource survey;;geothermal anomaly area;;thermal infrared remote sensing;;surface temperature retrieval
  • 中文刊名:KCKX
  • 英文刊名:Site Investigation Science and Technology
  • 机构:华北有色工程勘察院有限公司;中国地质大学(武汉);
  • 出版日期:2019-04-20
  • 出版单位:勘察科学技术
  • 年:2019
  • 期:No.223
  • 语种:中文;
  • 页:KCKX201902010
  • 页数:5
  • CN:02
  • ISSN:13-1100/TF
  • 分类号:48-52
摘要
热红外遥感技术已被广泛用于植被覆盖程度较低的高温地热异常区的地热资源勘查研究中,但在植被覆盖程度高的中低温地热资源勘查中的应用效果有待进一步论证。该文探索性的将ArcGIS和RS技术相结合应用于植被覆盖度高的中低温地热资源勘查中,采用基于单波段的单窗算法对福州地区地表温度进行反演,并利用ArcGIS软件分析了地表温度、已有地热异常点、构造之间的关系,提出福州地区北北东向大断裂为控热构造、北北西向断裂为导水构造的成因模式,并建立了地热异常判断因子提取潜在地热异常区。
        The thermal infrared remote sensing technology has been widely applied in the geothermal resource survey in geothermal anomaly area with high temperature and low vegetation coverage,however,the applying effect in low-medium temperate and high vegetation coverage need to be demonstrated. This paper combines the ArcGIS with RS technology and they are used in the exploration of medium and low temperature geothermal resources with high vegetation coverage. The surface temperature in Fuzhou area is retrieved with the method of single-window algorithm based on single band,and the relationship between surface temperature、existed geothermal anomaly points and tectonics are analyzed by ArcGIS. Then the genetic models that the NNE faults is heat-controlled structure,while the NNW fault is water-conducted structure are presented. Finally,the geothermal anomaly judgment factors are established to extract the potential geothermal anomaly areas.
引文
[1]连胤卓.地热资源的热红外遥感技术探测方法研究:[学位论文].太原:太原理工大学,2007
    [2]曹凯,江南.基于TM6的地热资源的热红外遥感探查模型研究.遥感信息,2006(2):18~21
    [3]贺金鑫,孙焕朝,李文庆,等.基于热红外遥感数据辽东地热区地表温度反演.吉林大学学报,2018(1):62~68
    [4]张凤.基于热红外遥感影像数据的城市热岛效应研究.可持续发展,2018(7):43~46
    [5]徐涵秋,林中立,潘卫华.单通道算法地表温度反演的若干问题讨论---以Landsat系列数据为例.武汉大学学报,2015(4):487~492
    [6]覃志豪,Zhang Minghua,Arnom Karnieli.用陆地卫星TM6数据演算地表温度的单窗算法.地理学报,2001,56(4):456~466
    [7]徐军强.长白山地表温度反演与地热分布特征研究:[学位论文].长春:吉林大学,2007
    [8]周彦儒.热红外遥感技术在地热调查中的应用与潜力.国土资源遥感,1998(4):24~28
    [9]杨波,关德文,赖健清,等.遥感技术在腾冲西南地区地热资源研究预测中的应用.国土资源遥感,2003(2):23~26
    [10]张中言.西藏羊八井地区遥感数据地温反演与地热异常探:[学位论文].成都:成都理工大学,2010
    [11]乔玉良.应用红外遥感寻找地下热水初探.航天返回与遥感,2003,23(1):33~35
NGLC 2004-2010.National Geological Library of China All Rights Reserved.
Add:29 Xueyuan Rd,Haidian District,Beijing,PRC. Mail Add: 8324 mailbox 100083
For exchange or info please contact us via email.