Adjoint tomography of northeast Japan revealed by common-source double-difference travel-time data
We present the wave equation-based adjoint tomography of northeastern Japan using common-source double-difference travel-time data. More than 30,000 high-quality first P-wave arrivals from 117 local earthquakes recorded by 713 seismic stations are included in the inversion, generating more than 350,...
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sg-ntu-dr.10356-1619962022-09-28T06:44:48Z Adjoint tomography of northeast Japan revealed by common-source double-difference travel-time data Chen, Jing Chen, Guoxu Wu, Hao Yao, Jiayuan Tong, Ping School of Physical and Mathematical Sciences Science::Geology Science::Mathematics Mantle Wedge P-Wave Arrival We present the wave equation-based adjoint tomography of northeastern Japan using common-source double-difference travel-time data. More than 30,000 high-quality first P-wave arrivals from 117 local earthquakes recorded by 713 seismic stations are included in the inversion, generating more than 350,000 double-difference travel times of first P-wave arrivals. In comparison with commonly used travel-time data, the common-source double-difference travel times are insensitive to source parameters and source-side structures but place enhanced constraints on receiver-side structures. As a result, these robust double-difference travel times generate a reliable VP model down to a depth of 120 km. Our inversion results clearly show crustal low-velocity anomalies beneath the volcanic arc. The subducting Pacific slab is illuminated as a landward-dipping high-velocity anomaly, and the arc magmatism in the mantle wedge is shown as low-velocity anomalies. Thanks to the newly operated Seafloor Observation Network (S-net), prominent high-velocity bodies are detected in the fore-arc mantle wedge at depths of 30-60 km. These abnormal high-VP bodies indicate a low degree of serpentinization in the fore-arc mantle wedge at low temperatures, correlating well with the previous finding that the uppermost mantle in the Kuril and Tohoku fore-arc is cold and dry.Our inversion results reveal reliable tectonic features in the subduction zone beneath northeastern Japan, suggesting thatwave equation-based common-source double- difference travel-time adjoint tomography is an effective and robust method to illuminate detailed structures of the crust and uppermost mantle. Ministry of Education (MOE) This work is supported by the Minister of Education, Singapore, under its MOE AcRF Tier-2 Grant (04MNP002073C230). This work is also supported by the National Natural Science Foundation of China (Grant Numbers 11871297 and U1839206), the National Key Research and Development Program of China on Monitoring, Early Warning and Prevention of Major Natural Disaster (Grant Number 2017YFC1500301), and Tsinghua University Initiative Scientific Research Program. 2022-09-28T06:44:48Z 2022-09-28T06:44:48Z 2022 Journal Article Chen, J., Chen, G., Wu, H., Yao, J. & Tong, P. (2022). Adjoint tomography of northeast Japan revealed by common-source double-difference travel-time data. Seismological Research Letters, 93(3), 1835-1851. https://dx.doi.org/10.1785/0220210317 0895-0695 https://hdl.handle.net/10356/161996 10.1785/0220210317 2-s2.0-85130054289 3 93 1835 1851 en 04MNP002073C230 Seismological Research Letters © 2022 Seismological Society of America. All rights reserved. |
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Science::Geology Science::Mathematics Mantle Wedge P-Wave Arrival Chen, Jing Chen, Guoxu Wu, Hao Yao, Jiayuan Tong, Ping Adjoint tomography of northeast Japan revealed by common-source double-difference travel-time data |
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We present the wave equation-based adjoint tomography of northeastern Japan using common-source double-difference travel-time data. More than 30,000 high-quality first P-wave arrivals from 117 local earthquakes recorded by 713 seismic stations are included in the inversion, generating more than 350,000 double-difference travel times of first P-wave arrivals. In comparison with commonly used travel-time data, the common-source double-difference travel times are insensitive to source parameters and source-side structures but place enhanced constraints on receiver-side structures. As a result, these robust double-difference travel times generate a reliable VP model down to a depth of 120 km. Our inversion results clearly show crustal low-velocity anomalies beneath the volcanic arc. The subducting Pacific slab is illuminated as a landward-dipping high-velocity anomaly, and the arc magmatism in the mantle wedge is shown as low-velocity anomalies. Thanks to the newly operated Seafloor Observation Network (S-net), prominent high-velocity bodies are detected in the fore-arc mantle wedge at depths of 30-60 km. These abnormal high-VP bodies indicate a low degree of serpentinization in the fore-arc mantle wedge at low temperatures, correlating well with the previous finding that the uppermost mantle in the Kuril and Tohoku fore-arc is cold and dry.Our inversion results reveal reliable tectonic features in the subduction zone beneath northeastern Japan, suggesting thatwave equation-based common-source double- difference travel-time adjoint tomography is an effective and robust method to illuminate detailed structures of the crust and uppermost mantle. |
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School of Physical and Mathematical Sciences |
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School of Physical and Mathematical Sciences Chen, Jing Chen, Guoxu Wu, Hao Yao, Jiayuan Tong, Ping |
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Article |
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Chen, Jing Chen, Guoxu Wu, Hao Yao, Jiayuan Tong, Ping |
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Chen, Jing |
title |
Adjoint tomography of northeast Japan revealed by common-source double-difference travel-time data |
title_short |
Adjoint tomography of northeast Japan revealed by common-source double-difference travel-time data |
title_full |
Adjoint tomography of northeast Japan revealed by common-source double-difference travel-time data |
title_fullStr |
Adjoint tomography of northeast Japan revealed by common-source double-difference travel-time data |
title_full_unstemmed |
Adjoint tomography of northeast Japan revealed by common-source double-difference travel-time data |
title_sort |
adjoint tomography of northeast japan revealed by common-source double-difference travel-time data |
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2022 |
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https://hdl.handle.net/10356/161996 |
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1745574641589551104 |