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现代地质 ›› 2006, Vol. 20 ›› Issue (3): 486-493.

• 水资源与环境 • 上一篇    下一篇

天津地区深层地下热水开采动态分析

樊友丽1,周训1,林黎1,2,阮传侠2,曹春山1   

  1. 1.中国地质大学 水资源与环境学院,北京100083;2.天津地热勘查开发设计院,天津300250
  • 收稿日期:2006-02-16 修回日期:2006-05-27 出版日期:2006-03-20 发布日期:2006-03-20
  • 作者简介:樊友丽,女,硕士,1980年出生,环境工程专业,主要从事水文地质、工程地质和环境地质方面的研究工作。
  • 基金资助:

    教育部科学技术研究重点项目(02026)

An Analysis of the Exploitation Regime of Thermal Groundwater in Deep-seated Aquifers in the Tianjin Area

FAN You-li1, ZHOU Xun1, LIN Li1,2, RUAN Chuan-xia2, CAO Chun-shan1   

  1. 1School of Water Resources and Environment, China University of Geosciences, Beijing100083, China;
    2Institute of Tianjin Geothermal Investigation Development and Design, Tianjin300250, China
  • Received:2006-02-16 Revised:2006-05-27 Online:2006-03-20 Published:2006-03-20

摘要:

深层地下热水由于多年长期开采致使水位持续下降,同时由于每年采暖期和非采暖期的交替开采,水位在下降过程中又呈现周期性的波动。另一方面受温度差异的影响,钻井井口水位并不能反映深层地下热水的实际水位,应对实测水位进行校正,校正后的水位具有复杂的周期性变化和趋势性变化。本研究通过对天津地区深层地下热水开采动态分析,建立趋势项与周期项之和的数学模型来描述水位变化。用线性函数拟合其趋势项,用傅立叶级数拟合其周期项,用Welch法对周期项进行频谱分析,利用最小二乘法确定周期项函数。用校正水位和计算水位的均方差检验拟合结果,结果表明拟合效果好。所建立的数学模型可以用来预测深层地下热水动态变化,预测水位能较好地反映水位变化特点。

关键词: 地下热水, 频谱分析, 拟合, 预测, 天津地区

Abstract:

Long-term exploitation of thermal groundwater in deep-seated aquifers has led to a continual falling in water levels at geothermal wells. Periodic fluctuations in the falling water levels due to exploitation of thermal groundwater in a pumping period followed by a non-pumping period can also be observed. On the other hand, temperature may affect the water level at geothermal wells. The observed water levels can not reflect the realistic water levels of thermal groundwater in deep-seated aquifers. Calibration of water levels is necessary. The calibrated water levels show complex periodic changes and trending changes. In this paper, mathematical models containing the sum of a periodic term and a trending term are established to describe the changes in water levels of thermal groundwater in the Tianjin area. The trending term is fitted by using a linear function, and the periodic term, by Fourier series. The periodic term is analyzed with the spectrum method and determined with the least square method. The fitting is verified with the mean square error of the calibrated and computed water levels and reasonable fitting is obtained. The mathematical models developed can be used to predict the changes in water levels of thermal groundwater in the deep-seated aquifers and good results are also attained.

Key words: thermal groundwater, spectrum analysis, fitting, prediction, Tianjin area

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