SHASHI PRAKASH SHARMA

Prof. SHASHI PRAKASH SHARMA


Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 June 2014 in Journal of Earth System Science
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Arkoprovo BiswasArkoprovo Biswas
Arkoprovo Biswas
SSSHASHI PRAKASH SHARMA
SHASHI PRAKASH SHARMA

1 January 2006 in Pure and Applied Geophysics
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Vikas Chand BaranwalVikas Chand Baranwal
Vikas Chand Baranwal
SSSHASHI PRAKASH SHARMA
SHASHI PRAKASH SHARMA

1 January 2018 in Geophysics
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ASAnand Singh
Anand Singh
SSSHASHI PRAKASH SHARMA
SHASHI PRAKASH SHARMA
IAİrFan Akca
İrFan Akca
Vikas Chand BaranwalVikas Chand Baranwal
Vikas Chand Baranwal
We evaluate the use of a fuzzy c-means clustering procedure to improve an inverted 2D resistivity model within the iterative error minimization procedure. The algorithm is coded in MATLAB language for the Lp-norm inversion of 2D direct current resistivity data and is referred to as fuzzy constrained inversion (FCI). Two additional input parameters are required to be provided by the interpreter: (1) the number of geologic units in the model (i.e., the number of clusters) and (2) the mean resistivity values of each geologic unit (i.e., cluster center values of the geologic units). The efficacy of our approach is evaluated by tests carried on the synthetic and field electrical resistivity tomography (ERT) data. Inversion results from the FCI algorithm are presented for conventional L1- and L2-norm minimization techniques. FCI indicates improvement over conventional inversion approaches in differentiating the geologic units if a proper number of the geologic units is provided to the algorithm. Inappropriate clustering information will affect the resulting resistivity models, particularly conductive geologic units existing in the model. We also determine that FCI is only effective when the observed ERT data can recognize the particular geologic units.


22 January 2014 in International Journal of Geophysics
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Arkoprovo BiswasArkoprovo Biswas
Arkoprovo Biswas
AMAnimesh Mandal
Animesh Mandal
SSSHASHI PRAKASH SHARMA
SHASHI PRAKASH SHARMA
WMWilliam Kumar Mohanty
William Kumar Mohanty
South Purulia Shear Zone (SPSZ) is an important area for the prospect of uranium mineralization and no detailed geophysical investigations have been carried out in this region. To delineate the subsurface structure in the present area, vertical electrical soundings using Schlumberger array and gravity survey were carried out along a profile perpendicular to the SPSZ. Apparent conductance in the subsurface revealed a possible connection from SPSZ to Raghunathpur. The gravity model reveals the presence of a northerly dipping low density zone (most likely the shear zone) extending up to Raghunathpur under a thin cover of granitic schist of Chotanagpur Granite Gneissic Complex (CGGC). The gravity model also depicts the depth of the zone of density low within this shear zone at~400 m near Raghunathpur village and this zone truncates with a steep slope. Integration of resistivity and gravity study revealed two possible contact zones within this low density zone in the subsurface at depth of 40 m and 200 m. Our study reveals a good correlation with previous studies in Raghunathpur area characterized by medium to high hydro-uranium anomaly. Thus the conducting zone coinciding with the low gravity anomaly is inferred to be a possible uranium mineralized zone.

15 December 2009 in Landslides
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SSSHASHI PRAKASH SHARMA
SHASHI PRAKASH SHARMA
KAK. Anbarasu
K. Anbarasu
SGSaibal Gupta
Saibal Gupta
ASA. Sengupta
A. Sengupta