Javascript must be enabled to continue!
Delineation of microseism noise sources in the Indian Ocean.
View through CrossRef
Microseisms are the continuous oscillations of the earth originated from the interaction of ocean waves with the solid earth. It is divided into two types, primary microseism and secondary microseism. Primary microseisms are generated by the interaction of ocean waves in the shallow coastal part and secondary microseisms are generated due to the interaction of two waves traveling opposite towards each other in the deeper or shallower part. Secondary microseism is also known as double frequency microseism band which is divided into two parts, long period double frequency microseism band and short period double frequency microseism band.We have taken data from IRIS DMC for ten seismic stations of the year 2018. Our study area is on the Indian Ocean. Indian ocean is considered as one of the global sources of microseism noise. In comparison to the North Indian Ocean, the Southern Ocean generates very strong amplitudes of microseism noise. Storm activity of Southern Ocean is very hazardous and destructive. In addition to that, the Antarctic circumpolar current brings warm water to the Ocean. Therefore, every year it experiences multiple cyclones which play a major role in the generation of microseism noise.In this study, we are using the frequency-dependent polarization analysis method. Our aim is to understand the spatial variation of noise and their possible sources. Power spectral density (PSD) is calculated using the spectral covariance matrix. Diagonal elements of the matrix represent the power spectra of each component (EW, NS, and Z). For analysing the spatial variation of PSD, we have used the vertical component (Z). We have observed higher PSD in the stations that are present close to the Southern Ocean and comparatively lower amplitudes are observed in the stations far away from the Southern Ocean. Back azimuth is used to determine the dominant source direction of the noise. From our results, major source direction of noise is from the Southern Ocean while minor sources are from Bay of Bengal and Arabian Sea. Clear seasonal variation in the source direction is not observed but seasonal variation in the number of polarized signals is observed indicating maximum polarized signal in the winter season and minimum polarized signals in the summer season. Combined results of spatial variation of PSD and back azimuth analysis help us to better understand the noise sources.  
Title: Delineation of microseism noise sources in the Indian Ocean.
Description:
Microseisms are the continuous oscillations of the earth originated from the interaction of ocean waves with the solid earth.
It is divided into two types, primary microseism and secondary microseism.
Primary microseisms are generated by the interaction of ocean waves in the shallow coastal part and secondary microseisms are generated due to the interaction of two waves traveling opposite towards each other in the deeper or shallower part.
Secondary microseism is also known as double frequency microseism band which is divided into two parts, long period double frequency microseism band and short period double frequency microseism band.
We have taken data from IRIS DMC for ten seismic stations of the year 2018.
Our study area is on the Indian Ocean.
Indian ocean is considered as one of the global sources of microseism noise.
In comparison to the North Indian Ocean, the Southern Ocean generates very strong amplitudes of microseism noise.
Storm activity of Southern Ocean is very hazardous and destructive.
In addition to that, the Antarctic circumpolar current brings warm water to the Ocean.
Therefore, every year it experiences multiple cyclones which play a major role in the generation of microseism noise.
In this study, we are using the frequency-dependent polarization analysis method.
Our aim is to understand the spatial variation of noise and their possible sources.
Power spectral density (PSD) is calculated using the spectral covariance matrix.
Diagonal elements of the matrix represent the power spectra of each component (EW, NS, and Z).
For analysing the spatial variation of PSD, we have used the vertical component (Z).
We have observed higher PSD in the stations that are present close to the Southern Ocean and comparatively lower amplitudes are observed in the stations far away from the Southern Ocean.
Back azimuth is used to determine the dominant source direction of the noise.
From our results, major source direction of noise is from the Southern Ocean while minor sources are from Bay of Bengal and Arabian Sea.
Clear seasonal variation in the source direction is not observed but seasonal variation in the number of polarized signals is observed indicating maximum polarized signal in the winter season and minimum polarized signals in the summer season.
Combined results of spatial variation of PSD and back azimuth analysis help us to better understand the noise sources.
 .
Related Results
Seismic Ambient Noise Analysis of the Indian Subcontinent
Seismic Ambient Noise Analysis of the Indian Subcontinent
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. ...
Ambient noise variation in the South Pole
Ambient noise variation in the South Pole
Ambient noises are generated due to the interaction of atmosphere with the solid Earth and the noises which occur within the time period of 2-20s are known as microseisms. As the n...
Access impact of observations
Access impact of observations
The accuracy of the Copernicus Marine Environment and Monitoring Service (CMEMS) ocean analysis and forecasts highly depend on the availability and quality of observations to be as...
Mechanism of suppressing noise intensity of squeezed state enhancement
Mechanism of suppressing noise intensity of squeezed state enhancement
This research focuses on advanced noise suppression technologies for high-precision measurement systems, particularly addressing the limitations of classical noise reducing approac...
Interactions of the Indian Ocean climate with other tropical oceans
Interactions of the Indian Ocean climate with other tropical oceans
<p>Ocean-atmosphere interactions in the tropics have a profound influence on the climate system. El Ni&#241;o&#8211;Southern Oscillation (ENSO), which...
A Comprehensive Review of Noise Measurement, Standards, Assessment, Geospatial Mapping and Public Health
A Comprehensive Review of Noise Measurement, Standards, Assessment, Geospatial Mapping and Public Health
Noise pollution is an emerging issue in cities around the world. Noise is a pernicious pollutant in urban landscapes mainly due to the increasing number of city inhabitants, road a...
Closing the Ocean Science Gap: Empowering Africa towards Ocean Innovation and Global Ocean-Based Solutions
Closing the Ocean Science Gap: Empowering Africa towards Ocean Innovation and Global Ocean-Based Solutions
The global ocean science community faces critical inequities that hinder Africa’s participation in research and innovation, resulting in limited African contributions to ocean-base...
The Ocean Race Learning Program: Advancing Ocean Literacy and Stewardship Through a Global Sporting Platform, Lucy Hunt & Rebecca White, The Ocean Race
The Ocean Race Learning Program: Advancing Ocean Literacy and Stewardship Through a Global Sporting Platform, Lucy Hunt & Rebecca White, The Ocean Race
The Ocean Race, renowned as the world’s most challenging round-the-world sailing competition, has developed a global Learning Programme supporting ocean literacy, environmental adv...

