首页> 外文期刊>Journal of Applied Geophysics >Dyke leakage localization and hydraulic permeability estimation through self-potential and hydro-acoustic measurements: Self-potential 'abacus' diagram for hydraulic permeability estimation and uncertainty computation
【24h】

Dyke leakage localization and hydraulic permeability estimation through self-potential and hydro-acoustic measurements: Self-potential 'abacus' diagram for hydraulic permeability estimation and uncertainty computation

机译:通过自势和水声测量进行堤防泄漏定位和水力渗透率估算:用于水力渗透率估算和不确定性计算的自势“算盘”图

获取原文
获取原文并翻译 | 示例
           

摘要

In the present study, we propose the combination of two geophysical techniques, which we have applied to a dyke located in southeastern France that has a visible downstream flood area: the self-potential (SP) and hydro-acoustic methods. These methods are sensitive to two different types of signals: electric signals and water-soil pressure disturbances, respectively. The advantages of the SP technique lie in the high rate of data acquisition, which allows assessment of long dykes, and direct _diagnosis in terms of leakage area delimitation and quantification. Coupled with punctual hydro-acoustic cartography, a leakage position can be precisely located, therefore allowing specific remediation decisions with regard to the results of the geophysical investigation. Here, the precise localization of leakage from an earth dyke has been identified using SP and hydro-acoustic signals, with the permeability of the preferential fluid flow area estimated by forward SP modeling. Moreover, we propose a general 'abacus' diagram for the estimation of hydraulic permeability of dyke leakage according to the magnitude of over water SP anomalies and the associated uncertainty.
机译:在本研究中,我们提出了两种地球物理技术的组合,这些技术已被应用到位于法国东南部,可见下游洪灾区的堤坝:自势(SP)法和水声法。这些方法对两种不同类型的信号敏感:分别是电信号和水土压力干扰。 SP技术的优势在于数据采集率高,可以评估长堤,并且可以直接对泄漏区域进行定界和定量诊断。结合准时水声制图,可以精确定位泄漏位置,因此可以根据地球物理调查的结果做出特定的补救措施。在这里,已经使用SP和水声信号确定了土堤泄漏的精确位置,并通过正向SP建模估算了优先流体流动区域的渗透率。此外,我们提出了一个通用的“算盘”图,用于根据水上SP异常的程度和相关的不确定性来估算堤防渗漏的水力渗透率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号