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@ARTICLE{Wang:906308,
author = {Wang, Haoran and Lin, Chih-Ping and Mok, Ting Hin and Wu,
Po-Lin and Liu, Hsin-Chang},
title = {{H}igh-fidelity subsurface resistivity imaging
incorporating borehole measurements for monitoring
underground construction},
journal = {Engineering geology},
volume = {299},
issn = {0013-7952},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2022-01359},
pages = {106558 -},
year = {2022},
abstract = {Subsurface imaging by electrical resistivity tomography
(ERT) is increasingly used in geotechnical,
geo-environmental, and hydrogeological investigation and
monitoring. Cross-hole ERT (CHERT) is often used to avoid
loss of resolution with increasing depth. However, symmetric
artifacts may be induced because the measurement sensitivity
around boreholes for some electrode configurations is fairly
symmetric. This study aimed to investigate the best practice
of ERT for monitoring underground construction or process
through an actual scenario of ground improvement with jet
grouting columns. The limitation of conventional surface ERT
method was first vividly illustrated in an
easy-to-understand context. Characteristics and performances
of distinct types of CHERT configurations were then studied
considering different borehole spacings. Further
improvements were explored by evaluating various mixed
arrays, model resolution-optimized array, and the
comprehensive array. The results show the necessity of
mixing two distinct types of electrode configuration. Among
various combinations, a combination referred to as the
nominal optimal (NOPT) is recommended when imaging
resolution, the symmetric effect, and the measurement
efficiency are all factored in. Unexpectedly, the
resolution-based optimization does not lead to better
results and could even induce negative effects. The results
also show that the minimum aspect ratio of 2 may not be
large enough for imaging complex underground conditions due
to reduced sensitivity and increased 3D effect. The above
findings are justified by the eigenvalue spectrum of the
Hessian matrix, which is considered a better appraisal index
than the model resolution for CHERT.},
cin = {IBG-3},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {2173 - Agro-biogeosystems: controls, feedbacks and impact
(POF4-217)},
pid = {G:(DE-HGF)POF4-2173},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000804598200005},
doi = {10.1016/j.enggeo.2022.106558},
url = {https://juser.fz-juelich.de/record/906308},
}