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基于2m测温法的地热异常区探测及地温预测
引用本文:张延军,张通,殷仁朝,郑杰,刘彤,谢洋洋.基于2m测温法的地热异常区探测及地温预测[J].吉林大学学报(地球科学版),2017,47(1).
作者姓名:张延军  张通  殷仁朝  郑杰  刘彤  谢洋洋
作者单位:1. 吉林大学建设工程学院,长春130026;地下水资源与环境教育部重点实验室,长春130026;2. 吉林大学建设工程学院,长春,130026;3. 中国地质科学院岩溶地质研究所,广西桂林,541004;4. 厦门市地质工程勘察院,福建厦门,361004
基金项目:国家自然科学基金项目,高等学校博士学科点专项科研基金(20110061110055)Supported by National Natural Science Foundation of China,Special Research Fund for the Doctoral Program of Higher Education
摘    要:地热异常区的探测对于地热能开发利用至关重要。利用2 m测温法和相关仪器对厦门东山某热泉地区进行实地探测,获取1~2m深度地层温度和导热系数数据,绘制研究区2m深度温度等值线图和浅层热流密度分布云图,圈定地热异常区。运用一维稳态热传导模型对研究区20 m深度地温进行反演,并与研究区20m深度实测温度进行对比分析。结果表明,2m测温法对地热异常区探测效果明显,一维稳态热传导模型对于20m深度地温的预测结果与实测结果较为一致。该方法可以作为地热探测初期的有效手段。

关 键 词:2  m测温法  地热异常区  温度预测模型

Geothermal Anomaly Areas Exploration and Ground Temperature Prediction Based on 2-Meter Temperature Survey
Zhang Yanjun,Zhang Tong,Yin Renchao,Zheng Jie,Liu Tong,Xie Yangyang.Geothermal Anomaly Areas Exploration and Ground Temperature Prediction Based on 2-Meter Temperature Survey[J].Journal of Jilin Unviersity:Earth Science Edition,2017,47(1).
Authors:Zhang Yanjun  Zhang Tong  Yin Renchao  Zheng Jie  Liu Tong  Xie Yangyang
Abstract:Geothermal anomaly areas exploration is essential for the development and utilization of geothermal energy.2-meter temperature survey and associated apparatus are used to get temperature and thermal conductivity data of 1-2 m depth in a hot springs area of Dongshan,Xiamen.Then temperature contour map of 2 m depth and heat flow density distribution map of shallow layer are drawn,geothermal anomaly areas of research area are delineated.The one-dimensional steady-state heat conduction model is used for ground temperature inversion of 20 m depth.Then inversion results are compared with measured temperature of 20 m depth.The results show that the effect of 2 meters temperature survey for geothermal anomaly areas is obvious and prediction result of one-dimensional steady-state heat conduction model is consistent with measured results.This method can be used as an effective mean for early stage geothermal exploration.
Keywords:2-meter temperature survey  geothermal anomaly areas  prediction model of temperature
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