Structural mapping based on potential field and remote sensing data, South Rewa Gondwana Basin, India

被引:0
|
作者
Swarnapriya Chowdari
Bijendra Singh
B Nageswara Rao
Niraj Kumar
A P Singh
D V Chandrasekhar
机构
[1] CSIR-National Geophysical Research Institute,Gravity and Magnetic Studies Group
[2] Indian Institute of Geomagnetism,undefined
来源
关键词
South Rewa Basin; remote sensing; gravity; magnetic; lineament; structures; dykes;
D O I
暂无
中图分类号
学科分类号
摘要
Intracratonic South Rewa Gondwana Basin occupies the northern part of NW–SE trending Son–Mahanadi rift basin of India. The new gravity data acquired over the northern part of the basin depicts WNW–ESE and ENE–WSW anomaly trends in the southern and northern part of the study area respectively. 3D inversion of residual gravity anomalies has brought out undulations in the basement delineating two major depressions (i) near Tihki in the north and (ii) near Shahdol in the south, which divided into two sub-basins by an ENE–WSW trending basement ridge near Sidi. Maximum depth to the basement is about 5.5 km within the northern depression. The new magnetic data acquired over the basin has brought out ENE–WSW to E–W trending short wavelength magnetic anomalies which are attributed to volcanic dykes and intrusive having remanent magnetization corresponding to upper normal and reverse polarity (29N and 29R) of the Deccan basalt magnetostratigrahy. Analysis of remote sensing and geological data also reveals the predominance of ENE–WSW structural faults. Integration of remote sensing, geological and potential field data suggest reactivation of ENE–WSW trending basement faults during Deccan volcanism through emplacement of mafic dykes and sills. Therefore, it is suggested that South Rewa Gondwana basin has witnessed post rift tectonic event due to Deccan volcanism.
引用
收藏
相关论文
共 50 条
  • [31] Spatial Mapping of the Groundwater Potential of the Geum River Basin Using Ensemble Models Based on Remote Sensing Images
    Kim, Jeong-Cheol
    Jung, Hyung-Sup
    Lee, Saro
    REMOTE SENSING, 2019, 11 (19)
  • [32] Evaluation of groundwater potential zones using remote sensing data in upper Vaigai river basin, Tamil Nadu, India
    Sankar K.
    Journal of the Indian Society of Remote Sensing, 2002, 30 (3) : 119 - 129
  • [33] Classification of 'potential' forests based on remote sensing data
    Hycza, Tomasz
    Lisiewicz, Maciej
    Waraksa, Patryk
    Sterenczak, Krzysztof
    SYLWAN, 2022, 166 (03): : 194 - 210
  • [34] Solar power potential mapping in India using remote sensing inputs and environmental parameters
    Mahtta, Richa
    Joshi, P. K.
    Jindal, Alok Kumar
    RENEWABLE ENERGY, 2014, 71 : 255 - 262
  • [36] Groundwater prospecting in a part of Tamirabarani River basin, South India using Remote Sensing and GIS
    Subramani, T.
    Prabaharan, S.
    Karunanidhi, D.
    INDIAN JOURNAL OF GEO-MARINE SCIENCES, 2015, 44 (09) : 1401 - 1408
  • [37] Groundwater Potential Zone Mapping in the Ghaggar River Basin, North-West India, Using Integrated Remote Sensing and GIS Techniques
    Upadhyay, Ritambhara K.
    Tripathi, Gaurav
    Durin, Bojan
    Samanovic, Sanja
    Cetl, Vlado
    Kishore, Naval
    Sharma, Mukta
    Singh, Suraj Kumar
    Kanga, Shruti
    Wasim, Md
    Rai, Praveen Kumar
    Bhardwaj, Vinay
    WATER, 2023, 15 (05)
  • [38] Anatomy of an intracratonic Son-Mahanadi Gondwana rift basin in Peninsular India: An integrated gravity, magnetic and remote sensing approach
    Chowdari, Swarnapriya
    Singh, Bijendra
    Singh, A. P.
    PHYSICS OF THE EARTH AND PLANETARY INTERIORS, 2022, 328
  • [39] Groundwater potential mapping based on long time series remote sensing data in Penghu Islands, China
    Cheng, Zijian
    Cui, Huiru
    Wang, Daqing
    Xu, Haoli
    Wang, Yi
    Lu, Zhao
    Zhao, Xiaoning
    Shi, Yue
    Lian, Xiaoying
    Tao, Guolin
    GEOSCIENCE DATA JOURNAL, 2023, 10 (04): : 471 - 484
  • [40] Advanced GPS based field mapping for collecting training data within a remote sensing classification approach
    Michel, U
    REMOTE SENSING FOR ENVIRONMENTAL MONITORING, GIS APPLICATIONS, AND GEOLOGY IV, 2004, 5574 : 23 - 31