demonstrate the electrical characteristics of each
structural unit and the contact relationship between
each other. The 3D electrical structure model is of
great value to study the formation and evolution of
the Southern China continent and the ore controlling
factors of deep deposit.
5 GEOLOGICAL SIGNIFICANCE
REVEALED BY THE 3D
ELECTRICAL MODEL
Generally the 3D electrical structure model contains
abundant underground information. The
characteristics of ‘U’ shape high resistance root in
the deep part of Dabie Mountains indicates that the
northside of North China block and the southside of
Yangtze block collided and subducted beneath the
high resistance bodies of the Dabie Mountains,
which made the Dabie mountains shows an obvious
compression uplift structure pattern. During the
Permian - Triassic period, the tectonic environment
in the Southern China area expanded, the low
resistivity layer was formed at the 30km depth
below the Dabie Mountain. Low resistance belt
along the Yangtze River located in front-end Dabie
orogenic belt shows significant high conductivity
characteristics. The low resistance abnormal body is
related with deep low resistance anomalous in upper
mantle, which could form the migration channel for
deep soft fluid. The low resistance channel may have
closed relationship with the distribution of abundant
of metal mineral resources above. Huaiyu terrane
located in the east of Yangtze block is of high
conductivity characteristic, suggesting obvious
collage of tectonic patterns, with which the two low
resistance layers in crust exist. The double low
resistivity layer may indicate the existence of a
double crustal structure. Double crust structure has
formed its unique form of mineral resources system.
Jiangshao fault shows an evident low resistivity
characteristic, and the low resistivity zone tends to
the Southeast. Its formation may be related to the
cracking events during Early Neoproterozoic-
Paleozoic era. At that same time, a lot of low
resistance layers were widely developed in crust
during the cracking period.
6 CONCLUSIONS
This paper introduces the process of how to
construct 3D electrical structure model of eastern
Jiangnan orogen by WSINV3DMT inversion
program which based on REBOCC 3D inversion
algorithm. Based on the 3D electrical structure
model and other related geophysical data, the 3D
electrical structure characteristics and geological
significance of Jiangnan orogenic belt are analyzed
and the following conclusions are obtained:
Using regional magnetotelluric data, the 3D
electrical structure model of eastern Jiangnan orogen
is established for the first time. Combined with
regional geology, regional gravity and magnetic
data, the eastern JiangNan orogen can be divided
into 4 first-order structural units and 16 secondary
structural units.
The characteristic of ‘U’ shape high resistance
root in the deep part of Dabie Mountains indicates
the North China block and Yangtze block collided
and subducted beneath the Dabie Mountains on the
north and south sides individually, suggesting strong
compression uplift tectonic settings.
Huaiyu terrane located in the eastern of Yangtze
block shows low resistivity, implying apparent
obduction tectonic environment. There are obvious
assaulting low resistance anomalous in the lower
section along the collage tectonic belt, and these low
resistance anomalous could be related to the
distribution and formation of a large number of
metal minerals above.
Jiangshao fault shows an obvious low
resistivitythat the low resistivity zone tends to the
Southeast, which means Cathaysia massif collided
over the Yangtze block.
ACKNOWLEDGMENTS
Thanks to all the staff involved in the field data
acquisition of this project, they have worked hard to
obtain valuable data. All the observation data in this
article are done with the support of multiple projects.
This study is supported by the National Key R&D
Program of China (No.2016YFC0600201), the
National Natural Science Fund (No.41574068),
Geological Investigation Project
(No.121201108000160913, No.12120114005801)
and CAGS basic research project (No.AS2016J12,
No.JYYWF20180902).
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Cai J T and Chen X B 2010 Refined techniques for data
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