Seawater motion-induced electromagnetic noise reduction in marine magnetotelluric data using current meters

Abstract Seawater motion-induced electromagnetic (EM) noise along the seafloor has a large impact on marine magnetotelluric (MT) data quality. Although the mechanical stability of ocean bottom electromagnetic receivers (OBEMs) has improved due to buoyancy optimization, completely eliminating EM nois...

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Main Authors: Kai Chen, Qingxian Zhao, Ming Deng, Xianhu Luo, Jianen Jing
Format: Article
Language:English
Published: SpringerOpen 2020-01-01
Series:Earth, Planets and Space
Subjects:
Online Access:https://doi.org/10.1186/s40623-019-1129-0
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author Kai Chen
Qingxian Zhao
Ming Deng
Xianhu Luo
Jianen Jing
author_facet Kai Chen
Qingxian Zhao
Ming Deng
Xianhu Luo
Jianen Jing
author_sort Kai Chen
collection DOAJ
description Abstract Seawater motion-induced electromagnetic (EM) noise along the seafloor has a large impact on marine magnetotelluric (MT) data quality. Although the mechanical stability of ocean bottom electromagnetic receivers (OBEMs) has improved due to buoyancy optimization, completely eliminating EM noise generated by seafloor currents as a result of instrument rocking or induction from the Earth’s magnetic field is still not possible. The velocity of the current represents the quantification of seafloor conditions. To mitigate this problem, we installed a current meter on an OBEM to measure the synchronous current velocity along with the OBEM data logger. For the marine EM surveys, we conducted two surveys composed of 42 marine EM data acquisition sites in the South China Sea. We observed a strong correlation between induced EM noise and current velocity when the speed was greater than 2 cm/s. Furthermore, we developed an adaptive correlation noise-canceling filter to reduce the induced EM noise, using the current meter data as a reference signal. The filter refined the coefficients using a least-mean-squares algorithm. We were able to reduce the induced EM noise by pre-filtering the raw time series data with an adaptive correlation noise-canceling filter and using current meter data from nearby sites. Since seafloor currents are clearly an issue that limits MT data quality, special efforts are necessary to reduce seawater motion-induced EM noise in marine MT surveys.
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spelling doaj.art-803fe5b93db94a41b4075c3dd34f3def2022-12-21T19:42:00ZengSpringerOpenEarth, Planets and Space1880-59812020-01-0172111110.1186/s40623-019-1129-0Seawater motion-induced electromagnetic noise reduction in marine magnetotelluric data using current metersKai Chen0Qingxian Zhao1Ming Deng2Xianhu Luo3Jianen Jing4School of Geophysics and Information Technology, China University of GeosciencesInstitute of Marine Geological Exploration Method and Technology, Guangzhou Marine Geology SurveySchool of Geophysics and Information Technology, China University of GeosciencesInstitute of Marine Geological Exploration Method and Technology, Guangzhou Marine Geology SurveySchool of Geophysics and Information Technology, China University of GeosciencesAbstract Seawater motion-induced electromagnetic (EM) noise along the seafloor has a large impact on marine magnetotelluric (MT) data quality. Although the mechanical stability of ocean bottom electromagnetic receivers (OBEMs) has improved due to buoyancy optimization, completely eliminating EM noise generated by seafloor currents as a result of instrument rocking or induction from the Earth’s magnetic field is still not possible. The velocity of the current represents the quantification of seafloor conditions. To mitigate this problem, we installed a current meter on an OBEM to measure the synchronous current velocity along with the OBEM data logger. For the marine EM surveys, we conducted two surveys composed of 42 marine EM data acquisition sites in the South China Sea. We observed a strong correlation between induced EM noise and current velocity when the speed was greater than 2 cm/s. Furthermore, we developed an adaptive correlation noise-canceling filter to reduce the induced EM noise, using the current meter data as a reference signal. The filter refined the coefficients using a least-mean-squares algorithm. We were able to reduce the induced EM noise by pre-filtering the raw time series data with an adaptive correlation noise-canceling filter and using current meter data from nearby sites. Since seafloor currents are clearly an issue that limits MT data quality, special efforts are necessary to reduce seawater motion-induced EM noise in marine MT surveys.https://doi.org/10.1186/s40623-019-1129-0Marine magnetotelluricAdaptive correlation noise-canceling filterSeawater motion-induced electromagnetic noiseCurrent meter
spellingShingle Kai Chen
Qingxian Zhao
Ming Deng
Xianhu Luo
Jianen Jing
Seawater motion-induced electromagnetic noise reduction in marine magnetotelluric data using current meters
Earth, Planets and Space
Marine magnetotelluric
Adaptive correlation noise-canceling filter
Seawater motion-induced electromagnetic noise
Current meter
title Seawater motion-induced electromagnetic noise reduction in marine magnetotelluric data using current meters
title_full Seawater motion-induced electromagnetic noise reduction in marine magnetotelluric data using current meters
title_fullStr Seawater motion-induced electromagnetic noise reduction in marine magnetotelluric data using current meters
title_full_unstemmed Seawater motion-induced electromagnetic noise reduction in marine magnetotelluric data using current meters
title_short Seawater motion-induced electromagnetic noise reduction in marine magnetotelluric data using current meters
title_sort seawater motion induced electromagnetic noise reduction in marine magnetotelluric data using current meters
topic Marine magnetotelluric
Adaptive correlation noise-canceling filter
Seawater motion-induced electromagnetic noise
Current meter
url https://doi.org/10.1186/s40623-019-1129-0
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AT qingxianzhao seawatermotioninducedelectromagneticnoisereductioninmarinemagnetotelluricdatausingcurrentmeters
AT mingdeng seawatermotioninducedelectromagneticnoisereductioninmarinemagnetotelluricdatausingcurrentmeters
AT xianhuluo seawatermotioninducedelectromagneticnoisereductioninmarinemagnetotelluricdatausingcurrentmeters
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