The Almora Crystalline Zone (ACZ) in the Kumaun Lesser Himalaya is disposed in the form of a large thrust sheet over the unfossiliferous Precambrian-Palaeozoic sedimentary sequences and have tectonic contacts, known as ...

The Southern Granulite Terrain (SGT) is composed of high-grade granulite domain occurring to the south of Dharwar Craton (DC). The structural units of SGT show a marked change in the structural trend from the dominant ...

Underthrusting of the Indian Plate beneath the Himalaya has been the cause of many hazardous thrust-faulting earthquakes along the arc. Moderate earthquakes with magnitudes of ≤5 occur frequently in this region, releasing ...

The continuous process of continent–continent collision between the Indian and the Eurasian plates has led to the formation of the Himalayan range and continuously caused earthquakes in the region. Large earthquakes with ...

Anisotropy of magnetic susceptibility (AMS) data have been utilized to build up the multiple deformation sequences and strain variation from an apparently undeformed metabasic lava sequence of the basal part of the ...

The geomagnetic substorms are important consequences of solar wind-magnetosphere-ionosphere coupling. The enhanced particle precipitation in the Earth’s ionosphere during the coupling results in the enhanced absorption of ...

Technological advancement in the past two decades coupled with better acquisition, processing and interpretation techniques have made the magnetic method an important tool for exploration. The information content provided ...

The beaches under study are characterized by distinctly different magnetic signatures in terms of their concentration and magnetic grain sizes. Seasonal variation in accumulation and erosion is seen at Vengurla Beach ...

Reconstruction of century‐scale Indian monsoon and winter hydrography is made from an AMS‐dated core located in the unique region of the southeast Arabian Sea which lies in the pathways of the lowsalinity Bay of Bengal ...

A new probabilistic approach based on the concept of Bayesian neural network (BNN) learning theory is proposed for decoding litho‐facies boundaries from well‐log data. We show that how a multi‐layer‐perceptron neural network ...