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This paper deals with the application of continuous wavelet transform (CWT) and
Euler deconvolution methods to estimate the source depth using magnetic
anomalies. These methods are utilized mainly to focus on the fundamental
issue of mapping the major coal seam and locating tectonic lineaments. The
main aim of the study is to locate and characterize the source of the
magnetic field by transferring the data into an auxiliary space by CWT. The
method has been tested on several synthetic source anomalies and finally
applied to magnetic field data from Jharia coalfield, India. Using magnetic
field data, the mean depth of causative sources points out the different
lithospheric depth over the study region. Also, it is inferred that there are
two faults, namely the northern boundary fault and the southern boundary fault, which have an
orientation in the northeastern and southeastern direction respectively. Moreover,
the central part of the region is more faulted and folded than the other
parts and has sediment thickness of about 2.4 km. The methods give mean
depth of the causative sources without any a priori information, which can be
used as an initial model in any inversion algorithm.
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