Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Seismic Ambient Noise Analysis of the Indian Subcontinent

View through CrossRef
Seismic ambient noise has three bands- cultural noise, microseism noise, and infra-gravity waves. In this study, we have considered two bands: cultural noise and microseism noise. Anthropogenic activities generate cultural noise(1-10Hz), whereas ocean, atmosphere, and solid earth interaction lead to the genesis of microseism noise (0.05-1Hz). Our study region is on the Indian subcontinent. We have taken continuous data from the National Center for Seismology, including stations from inland, island, and coastal parts of the subcontinent. A frequency-dependent polarization method is applied. From our observations, the seismic stations located in the busiest part of the city show a high amplitude of noise in the cultural noise band.   Diurnal variations are also observed in this band. However, for stations located in the crowded part of the city, the noise level remains high even at night due to the active nightlife in the cities.  Seasonal variations are not observed in the cultural noise band. In the microseism band, seasonal variations are observed in both the direction of the noise source and the amplitude of noise due to the significant contribution of the southwest monsoon to the Indian subcontinent. For island stations, the peak in the noise is observed in the microseism band, while in the land stations, cultural noise dominates. Sudden increases in the amplitude of microseism noise are detected in the coastal stations because of the disturbed sea-state conditions during the cyclone period. Overall, our study provides a comprehensive idea about the distribution of seismic ambient noise in the Indian sub-continent. 
Title: Seismic Ambient Noise Analysis of the Indian Subcontinent
Description:
Seismic ambient noise has three bands- cultural noise, microseism noise, and infra-gravity waves.
In this study, we have considered two bands: cultural noise and microseism noise.
Anthropogenic activities generate cultural noise(1-10Hz), whereas ocean, atmosphere, and solid earth interaction lead to the genesis of microseism noise (0.
05-1Hz).
Our study region is on the Indian subcontinent.
We have taken continuous data from the National Center for Seismology, including stations from inland, island, and coastal parts of the subcontinent.
A frequency-dependent polarization method is applied.
From our observations, the seismic stations located in the busiest part of the city show a high amplitude of noise in the cultural noise band.
  Diurnal variations are also observed in this band.
However, for stations located in the crowded part of the city, the noise level remains high even at night due to the active nightlife in the cities.
  Seasonal variations are not observed in the cultural noise band.
In the microseism band, seasonal variations are observed in both the direction of the noise source and the amplitude of noise due to the significant contribution of the southwest monsoon to the Indian subcontinent.
For island stations, the peak in the noise is observed in the microseism band, while in the land stations, cultural noise dominates.
Sudden increases in the amplitude of microseism noise are detected in the coastal stations because of the disturbed sea-state conditions during the cyclone period.
Overall, our study provides a comprehensive idea about the distribution of seismic ambient noise in the Indian sub-continent.
 .

Related Results

Environmental History of Oceanic Noise Pollution
Environmental History of Oceanic Noise Pollution
The concept of “ocean noise” precedes the concept of “ocean noise pollution” by about half a century. Those seeking a body of scholarly literature on ocean noise as an environmenta...
Enhancing High-frequency Ambient Noise for shallow subsurface imaging using urban ambient noise DAS recordings
Enhancing High-frequency Ambient Noise for shallow subsurface imaging using urban ambient noise DAS recordings
Distributed Acoustic Sensing (DAS) enables unused fiber optic cables in existing telecommunication networks, known as dark fibers, to function as dense arrays of virtual seismic re...
Seismic Frequency Enhancement for Mapping and Reservoir Characterization of Arab Formation: Case Study Onshore UAE
Seismic Frequency Enhancement for Mapping and Reservoir Characterization of Arab Formation: Case Study Onshore UAE
Abstract Mapping and discrimination of Upper Jurassic Arab reservoirs (Arab A/B/C and D) in this 3D seismic onshore field of Abu Dhabi, is very sensitive to the seis...
4D Seismic on Gullfaks
4D Seismic on Gullfaks
SUMMARY New technologies are rapidly emerging helping to obtain optimal drainage of large reservoirs. 4D seismic is such a reservoir monitoring technique. The phy...
Integrated Hydrocarbon Detection Based on Full Frequency Pre-Stack Seismic Inversion
Integrated Hydrocarbon Detection Based on Full Frequency Pre-Stack Seismic Inversion
Abstract To improve the accuracy of hydrocarbon detection, seismic amplitude variation with offset (AVO), seismic amplitude variation with frequency (AVF), and direc...
Total Electron Content and Seismic Ambient Noise analysis prior to significant earthquakes
Total Electron Content and Seismic Ambient Noise analysis prior to significant earthquakes
<p>The seismo-ionospheric interaction study with respect to earthquake events using Total Electron Content (TEC) data derived from Global Navigation Satellite Systems...
Combined ambient seismic noise tomography and H/V analysis to decipher the shallow subsurface in Saxon Lusatia (eastern Germany)
Combined ambient seismic noise tomography and H/V analysis to decipher the shallow subsurface in Saxon Lusatia (eastern Germany)
Saxon Lusatia (eastern Germany) is considered a region with particularly low seismic background noise. It is therefore earmarked as a possible location for a so-called Low Seismic ...
Stochastic Rock Physics Inversion
Stochastic Rock Physics Inversion
Abstract The purpose of this paper is to introduce a stochastic seismic inversion algorithm based on Markov Chain Monte Carlo Simulation. The suggested inversion ...

Back to Top