A5010367674- Statistical and numerical algorithms
- Seismic Imaging and Inversion Techniques
- Earthquake Detection and Analysis
- Seismic Waves and Analysis
- earthquake and tectonic studies
- Image and Signal Denoising Methods
- Geophysical and Geoelectrical Methods
- Seismology and Earthquake Studies
- Geochemistry and Geologic Mapping
- High-pressure geophysics and materials
- Landslides and related hazards
- Geophysics and Gravity Measurements
- Climate variability and models
- Geomagnetism and Paleomagnetism Studies
- Geophysical Methods and Applications
- Hydrological Forecasting Using AI
- Rock Mechanics and Modeling
- Anomaly Detection Techniques and Applications
- Underwater Acoustics Research
- Hydrology and Drought Analysis
- Hydrology and Watershed Management Studies
- Atmospheric and Environmental Gas Dynamics
- Machine Fault Diagnosis Techniques
- Climate Change and Health Impacts
- Solar and Space Plasma Dynamics
National Geophysical Research Institute
2015-2025
Academy of Scientific and Innovative Research
2014-2024
Andhra University
2023
Council of Scientific and Industrial Research
2014-2021
Far away landslide detection A mass wasting and flood event on 7 February 2021 in Uttarakhand, India, killed more than 200 people damaged two hydropower plants. Cook et al . discovered that teleseimic signals from the beginning of this were recorded at different stations a regional seismic network northern India. The observed up to 100 kilometers disaster demonstrate potential for these far-away monitoring be useful early warning. This discovery suggests way monitor such remote Himalayan...
Multiple spectral and statistical analyses of a 700 yearlong temporal record groundwater recharge from the dry lands, Badain Jaran Desert (Inner Mongolia) Northwest China reveal stationary harmonic cycle at ~200 ± 20 year. Interestingly, underlying periodicity in fluctuations is similar to those solar-induced climate "Suess wiggles" appears be coherent with phases solar cycles. Matching rates cycles renders strong impression that signals may act as critical amplifier for driving hydrographic...
We present here a singular spectrum analysis (SSA)-based low pass filtering algorithm for regional and residual gravity anomaly separation. The data adaptive decomposition in SSA frequency facilitates reduction of the artefacts non-linear non-stationary data. Initially, method was tested on synthetic representing combined response components derived from geological structures like infinite horizontal layers, intrusive dykes, deep-seated faults volcanic bodies compared with fast Fourier...
Abstract. The seismic reflection data processing to identify thin coal beds and intrinsic fault structure associated with coalmines suffers from the coherent noise that arises due interference diffraction of signals adjacent horizontal boundaries on either sides structure. amplitudes interfering reflections mislead interpretation geological features like faults, curved reflectors, etc. In particular, correlated erratic create more severe problem than random in such complex structures. Here,...
We propose Time Slice Singular Spectrum Analysis (TSSSA) - a filtering algorithm to distinguish diffraction energy from seismic reflection data. The underlying method uses the Eigen Mode separation decompose time slice of amplitudes, resulting linear sum different interpretable wave fields and uninterpretable noise, into independent (e.g., reflections, noise). is found be effective in identification sharp boundaries fault/fracture zones. present here two examples on synthetic data: (i) data...
Although the SSA (singular spectral analysis) is a potential tool for analysing time series of different physical processes, processing large geophysical data set requires more and found to be computationally expansive. In particular SVD value decomposition) trajectory matrix, units require huge memory high performance computing system. present work, we propose an alternative scheme based on WSSA (windowed singular analysis), which robust long sets without losing any valuable low-frequency...
Abstract. We studied the complex and non-stationary records of global earthquake employing robust statistical spectral techniques to understand patterns, processes periodicity. Singular Spectral Analysis (SSA) correlation methods are used quantify nature principle dynamical annual rates. The SSA decomposes component rates (first mode), which suggests that there is a linear increase in yearly number from 1975 2005 accounting for 93% variance may be identified with earth's internal processes....