A multiscale accuracy assessment of moisture content predictions using time-lapse electrical resistivity tomography in mine tailings.
A multiscale accuracy assessment of moisture content predictions using time-lapse electrical resistivity tomography in mine tailings.
复制标题
DOI：
10.1038/s41598-023-48100-w
复制
发表时间：
2023-11-27
影响因子：
4.6
通讯作者：
中科院分区：
文献类型：
--
作者：
准确和大规模的体积含水率(VWC)评估在采矿废物监测中发挥着关键作用，以减轻潜在的岩土和环境风险。近年来，时间推移电阻率层析成像(TL-ERT)作为一种很有前途的监测方法，可以与传统的侵入法和点测法相结合来估算尾矿中的VWC。此外，利用实验室标定的岩石物理关系，利用TL-ERT成像的块体电导率(EC)可以在现场转换为VWC。这项研究是第一次评估尺度效应对ERT预测尾矿中VWC准确性的影响。在实验室和野外五种不同尺度的尾矿中进行了全量EC和VWC的同步和共址监测。水文地球物理数据集被用来校准用于根据TL-ERT数据预测VWC的岩石物理模型。总体而言，ERT预测的VWC是准确的，实验室中在样本尺度上确定的岩石物理模型在更大尺度上仍然有效。值得注意的是，温度和孔隙水EC演化的影响在现场尺度的VWC预测中发挥着重要作用(精度降低了十倍)，因此，在使用互补水文地质传感器进行TL-ERT数据处理时，必须适当考虑这一影响。基于这些结果，我们建议，未来利用热释光技术预测尾矿中的VWC的研究可以使用类似于这里提供的电阻率Tempe池的样品规模的实验室设备来校准岩石物理模型，并仔细地将其推广到现场应用。
Accurate and large-scale assessment of volumetric water content (VWC) plays a critical role in mining waste monitoring to mitigate potential geotechnical and environmental risks. In recent years, time-lapse electrical resistivity tomography (TL-ERT) has emerged as a promising monitoring approach that can be used in combination with traditional invasive and point-measurements techniques to estimate VWC in mine tailings. Moreover, the bulk electrical conductivity (EC) imaged using TL-ERT can be converted into VWC in the field using petrophysical relationships calibrated in the laboratory. This study is the first to assess the scale effect on the accuracy of ERT-predicted VWC in tailings. Simultaneous and co-located monitoring of bulk EC and VWC are carried out in tailings at five different scales, in the laboratory and in the field. The hydrogeophysical datasets are used to calibrate a petrophysical model used to predict VWC from TL-ERT data. Overall, the accuracy of ERT-predicted VWC is , and the petrophysical models determined at sample-scale in the laboratory remain valid at larger scales. Notably, the impact of temperature and pore water EC evolution plays a major role in VWC predictions at the field scale (tenfold reduction of accuracy) and, therefore, must be properly taken into account during the TL-ERT data processing using complementary hydrogeological sensors. Based on these results, we suggest that future studies using TL-ERT to predict VWC in mine tailings could use sample-scale laboratory apparatus similar to the electrical resistivity Tempe cell presented here to calibrate petrophysical models and carefully upscale them to field applications.
登录
查看更多内容
影响因子：
5
作者：
Belabid, Nasreddine;Zhao, Feng;Tan, Yumin
通讯作者：
Tan, Yumin
影响因子：
2
作者：
Canales, R. Mollehuara;Kozlovskaya, E.;Moisio, K.
通讯作者：
Moisio, K.
影响因子：
6.4
作者：
Brunet, Pascal;Clement, Remi;Bouvier, Christophe
通讯作者：
Bouvier, Christophe
影响因子：
5.4
作者：
Binley A;Hubbard SS;Huisman JA;Revil A;Robinson DA;Singha K;Slater LD
通讯作者：
Slater LD
影响因子：
13.5
作者：
Brocca, L.;Hasenauer, S.;Bittelli, M.
通讯作者：
Bittelli, M.