Electrical Resistivity Survey and Shallow Subsurface Geological Study in Hard Rock Terrain, Southern India

被引:4
作者
Anbazhagan, S. [1 ]
Indhirajith, R. [2 ]
Maheshwaran, S. Uma [1 ]
Jothibasu, A. [1 ]
Venkatesan, A. [3 ]
Ramesh, V. [1 ]
机构
[1] Periyar Univ, Ctr Geoinformat & Planetary Studies, Dept Geol, Salem 636011, India
[2] Periyar Univ, Dept Geol, Salem 636011, India
[3] Periyar Univ, Coll Arts & Sci, Dept Geol, Mettur, India
关键词
Shallow subsurface geology; Electrical resistivity; Remote sensing; Hard rock; Tamil Nadu; CHAMOLI EARTHQUAKE; DEFORMATION;
D O I
10.1007/s12594-015-0219-2
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The shallow sub-surface condition of the hard rock terrain is highly heterogeneous and it requires investigation of geology at close interval. The purpose of the present work is to interpret the shallow sub-surface geology to a limited depth (< 100m) and to reveal the thickness of the various layers through electrical resistivity survey. In this context, the Nallampalli block located in Dharmapuri district, Southern India is selected. The area is mostly covered by gneissic and charnockitic rocks. In addition to resistivity survey, well inventory data was also collected from field investigations. The thickness of various sub-surface layers such as weathered zone, partially weathered zone, fractured zone and depth to bedrock were estimated. The estimated thickness and resistivity values were correlated with well inventory data. The average resistivity values for weathered, partially weathered, fractured and massive formations in the block are 55 Omega m, 96 Omega m, < 303 Omega m and > 400 Omega m respectively. The average depth to massive rock in the block is 38m below ground level (bgl). Remote sensing data were utilized to assess the sub-surface condition to a limited extent. The results obtained from the electrical resistivity survey and well inventory data have appreciable correlation.
引用
收藏
页码:305 / 312
页数:8
相关论文
共 50 条
[21]   Study of Electrical Resistivity of Powder Materials Obtained by Oxidation of Hard Alloys [J].
V. P. Nesterenko ;
K. P. Aref'ev ;
V. I. Merkulov ;
A. A. Kondratyuk ;
A. V. Petrov .
Russian Journal of Nondestructive Testing, 2001, 37 :471-474
[22]   Impact of geology and geomorphology on fluoride contaminated groundwater in hard rock terrain of India using geoinformatics approach [J].
Shekhar S. ;
Ghosh M. ;
Pandey A.C. ;
Tirkey A.S. .
Applied Water Science, 2017, 7 (06) :2943-2956
[23]   Estimation of Hydraulic Characteristics from Electrical Resistivity Data in Coastal Aquifers of Southern India [J].
Singh, Somvir ;
Singh, V. S. .
JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA, 2016, 88 (01) :77-86
[24]   Estimation of hydraulic characteristics from electrical resistivity data in coastal aquifers of southern India [J].
Singh S. ;
Singh V.S. .
Journal of the Geological Society of India, 2016, 88 (1) :77-86
[25]   Testing study of relation between temperature and electrical resistivity of sedimentary rock [J].
Zhang, Feng ;
Zeng, Cong .
GEOMECHANICS AND GEOTECHNICS: FROM MICRO TO MACRO, VOLS 1 AND 2, 2011, :401-406
[26]   Modelling of ground water recharge-potential in the hard-rock Aravalli terrain, India: a GIS approach [J].
C. Bhuiyan ;
Ramesh P. Singh ;
W. A. Flügel .
Environmental Earth Sciences, 2009, 59 :929-938
[27]   Probabilistic groundwater recharge zonation in hard rock terrain using geospatial techniques in Veniar watershed, South India [J].
Mishra, Akhilesh Kumar ;
Upadhyay, Aakash ;
Srivastava, Ankur ;
Rai, Suresh Chand .
ECOHYDROLOGY & HYDROBIOLOGY, 2020, 20 (03) :456-471
[28]   Modelling of ground water recharge-potential in the hard-rock Aravalli terrain, India: a GIS approach [J].
Bhuiyan, C. ;
Singh, Ramesh P. ;
Fluegel, W. A. .
ENVIRONMENTAL EARTH SCIENCES, 2009, 59 (04) :929-938
[29]   Resistivity imaging technique to delineate shallow subsurface cavities associated with old coal working: a numerical study [J].
Das, Prasenjit ;
Mohanty, Priya R. .
ENVIRONMENTAL EARTH SCIENCES, 2016, 75 (08)
[30]   Identification of groundwater potential zones using multi-influencing factor method, GIS and remote sensing techniques in the hard rock terrain of Madurai district, southern India [J].
Selvam Ganesan ;
Anbarasu Subramaniyan .
Sustainable Water Resources Management, 2024, 10