Topography-incorporated adjoint-state surface wave Traveltime tomography: method and a case study in Hawaii
In this study we recast surface wave traveltime tomography as an inverse problem constrained by an eikonal equation and solve it using the efficient adjoint-state method. Specifically, recognizing that large topographic variations and high surface wave frequencies can make the topographic effect too...
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sg-ntu-dr.10356-1747122024-04-15T15:37:01Z Topography-incorporated adjoint-state surface wave Traveltime tomography: method and a case study in Hawaii Hao, Shijie Chen, Jing Xu, Mijian Tong, Ping School of Physical and Mathematical Sciences Earth Observatory of Singapore Mathematical Sciences Seismic tomography Travel time In this study we recast surface wave traveltime tomography as an inverse problem constrained by an eikonal equation and solve it using the efficient adjoint-state method. Specifically, recognizing that large topographic variations and high surface wave frequencies can make the topographic effect too significant to ignore, we employ an elliptically anisotropic eikonal equation to describe the traveltime fields of surface waves on undulated topography. The sensitivity kernel of the traveltime objective function with respect to shear wave velocity is derived using the adjoint-state method. As a result, the newly developed method is inherently applicable to any study regions, whether with or without significant topographic variations. Hawaii is one of the most seismically and magmatically active regions. However, its significant topographic variations have made it less accurate to investigate using conventional surface wave traveltime tomography methods. To tackle this problem, we applied our new method to invert ambient noise Rayleigh wave phase traveltimes and construct a 3D shear wave velocity model. Our results reveal features that are consistent with geological structures and previous tomography results, including high velocities below Mauna Loa Volcano and Kilauea Volcano, and low velocities beneath the Hilina Fault Zone. Additionally, our model reveals a high-velocity anomaly to the South of Hualalai's summit, which may be related to a buried rift zone. Our findings further demonstrate that including topography can lead to a correction of up to 0.8% in the shear wave velocity model of Hawaii, an island spanning approximately 100 km with volcanoes reaching elevations exceeding 4 km. Ministry of Education (MOE) Published version This work is funded by Minister of Education, Singapore, under its MOE AcRF Tier-2 Grant (MOE-T2EP20122-0008) and its MOE AcRF Tier-1 Grant (RG86/22). 2024-04-08T05:08:46Z 2024-04-08T05:08:46Z 2024 Journal Article Hao, S., Chen, J., Xu, M. & Tong, P. (2024). Topography-incorporated adjoint-state surface wave Traveltime tomography: method and a case study in Hawaii. Journal of Geophysical Research: Solid Earth, 129(1), e2023JB027454-. https://dx.doi.org/10.1029/2023JB027454 2169-9356 https://hdl.handle.net/10356/174712 10.1029/2023JB027454 2-s2.0-85182499277 1 129 e2023JB027454 en MOE-T2EP20122-0008 RG86/22 Journal of Geophysical Research: Solid Earth © 2024 American Geophysical Union. All Rights Reserved. application/pdf |
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Mathematical Sciences Seismic tomography Travel time Hao, Shijie Chen, Jing Xu, Mijian Tong, Ping Topography-incorporated adjoint-state surface wave Traveltime tomography: method and a case study in Hawaii |
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In this study we recast surface wave traveltime tomography as an inverse problem constrained by an eikonal equation and solve it using the efficient adjoint-state method. Specifically, recognizing that large topographic variations and high surface wave frequencies can make the topographic effect too significant to ignore, we employ an elliptically anisotropic eikonal equation to describe the traveltime fields of surface waves on undulated topography. The sensitivity kernel of the traveltime objective function with respect to shear wave velocity is derived using the adjoint-state method. As a result, the newly developed method is inherently applicable to any study regions, whether with or without significant topographic variations. Hawaii is one of the most seismically and magmatically active regions. However, its significant topographic variations have made it less accurate to investigate using conventional surface wave traveltime tomography methods. To tackle this problem, we applied our new method to invert ambient noise Rayleigh wave phase traveltimes and construct a 3D shear wave velocity model. Our results reveal features that are consistent with geological structures and previous tomography results, including high velocities below Mauna Loa Volcano and Kilauea Volcano, and low velocities beneath the Hilina Fault Zone. Additionally, our model reveals a high-velocity anomaly to the South of Hualalai's summit, which may be related to a buried rift zone. Our findings further demonstrate that including topography can lead to a correction of up to 0.8% in the shear wave velocity model of Hawaii, an island spanning approximately 100 km with volcanoes reaching elevations exceeding 4 km. |
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School of Physical and Mathematical Sciences |
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School of Physical and Mathematical Sciences Hao, Shijie Chen, Jing Xu, Mijian Tong, Ping |
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Article |
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Hao, Shijie Chen, Jing Xu, Mijian Tong, Ping |
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Hao, Shijie |
title |
Topography-incorporated adjoint-state surface wave Traveltime tomography: method and a case study in Hawaii |
title_short |
Topography-incorporated adjoint-state surface wave Traveltime tomography: method and a case study in Hawaii |
title_full |
Topography-incorporated adjoint-state surface wave Traveltime tomography: method and a case study in Hawaii |
title_fullStr |
Topography-incorporated adjoint-state surface wave Traveltime tomography: method and a case study in Hawaii |
title_full_unstemmed |
Topography-incorporated adjoint-state surface wave Traveltime tomography: method and a case study in Hawaii |
title_sort |
topography-incorporated adjoint-state surface wave traveltime tomography: method and a case study in hawaii |
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2024 |
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https://hdl.handle.net/10356/174712 |
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1814047241917169664 |