Imaging the distribution of transient viscosity after the 2016 Mw 7.1 Kumamoto earthquake
The deformation of mantle and crustal rocks in response to stress plays a crucial role in the distribution of seismic and volcanic hazards, controlling tectonic processes ranging from continental drift to earthquake triggering. However, the spatial variation of these dynamic properties is poorly und...
| Main Authors: | , , , , , , , , , , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2017
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/85104 http://hdl.handle.net/10220/43617 |
| _version_ | 1826116159251939328 |
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| author | Moore, James Daniel Paul Yu, Hang Tang, Chi-Hsien Wang, Teng Barbot, Sylvain Peng, Dongju Masuti, Sagar Dauwels, Justin Hsu, Ya-Ju Lambert, Valère Nanjundiah, Priyamvada Wei, Shengji Lindsey, Eric Feng, Lujia Shibazaki, Bunichiro |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Moore, James Daniel Paul Yu, Hang Tang, Chi-Hsien Wang, Teng Barbot, Sylvain Peng, Dongju Masuti, Sagar Dauwels, Justin Hsu, Ya-Ju Lambert, Valère Nanjundiah, Priyamvada Wei, Shengji Lindsey, Eric Feng, Lujia Shibazaki, Bunichiro |
| author_sort | Moore, James Daniel Paul |
| collection | NTU |
| description | The deformation of mantle and crustal rocks in response to stress plays a crucial role in the distribution of seismic and volcanic hazards, controlling tectonic processes ranging from continental drift to earthquake triggering. However, the spatial variation of these dynamic properties is poorly understood as they are difficult to measure. We exploited the large stress perturbation incurred by the 2016 earthquake sequence in Kumamoto, Japan, to directly image localized and distributed deformation. The earthquakes illuminated distinct regions of low effective viscosity in the lower crust, notably beneath the Mount Aso and Mount Kuju volcanoes, surrounded by larger-scale variations of viscosity across the back-arc. This study demonstrates a new potential for geodesy to directly probe rock rheology in situ across many spatial and temporal scales. |
| first_indexed | 2024-10-01T04:06:47Z |
| format | Journal Article |
| id | ntu-10356/85104 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:06:47Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/851042020-09-26T21:28:08Z Imaging the distribution of transient viscosity after the 2016 Mw 7.1 Kumamoto earthquake Moore, James Daniel Paul Yu, Hang Tang, Chi-Hsien Wang, Teng Barbot, Sylvain Peng, Dongju Masuti, Sagar Dauwels, Justin Hsu, Ya-Ju Lambert, Valère Nanjundiah, Priyamvada Wei, Shengji Lindsey, Eric Feng, Lujia Shibazaki, Bunichiro School of Electrical and Electronic Engineering Earth Observatory of Singapore Viscoelasticity Geodesy The deformation of mantle and crustal rocks in response to stress plays a crucial role in the distribution of seismic and volcanic hazards, controlling tectonic processes ranging from continental drift to earthquake triggering. However, the spatial variation of these dynamic properties is poorly understood as they are difficult to measure. We exploited the large stress perturbation incurred by the 2016 earthquake sequence in Kumamoto, Japan, to directly image localized and distributed deformation. The earthquakes illuminated distinct regions of low effective viscosity in the lower crust, notably beneath the Mount Aso and Mount Kuju volcanoes, surrounded by larger-scale variations of viscosity across the back-arc. This study demonstrates a new potential for geodesy to directly probe rock rheology in situ across many spatial and temporal scales. NRF (Natl Research Foundation, S’pore) MOE (Min. of Education, S’pore) Accepted version 2017-08-22T01:36:59Z 2019-12-06T15:57:09Z 2017-08-22T01:36:59Z 2019-12-06T15:57:09Z 2017 Journal Article Moore, J. D. P., Yu, H., Tang, C.-H., Wang, T., Barbot, S., Peng, D., et al. (2017). Imaging the distribution of transient viscosity after the 2016 Mw 7.1 Kumamoto earthquake. Science, 356(6334), 163-167. 0036-8075 https://hdl.handle.net/10356/85104 http://hdl.handle.net/10220/43617 10.1126/science.aal3422 en Science © 2017 The Authors (published by American Association for the Advancement of Science (AAAS)). This is the author created version of a work that has been peer reviewed and accepted for publication in Science, published by American Association for the Advancement of Science on behalf of the authors. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1126/science.aal3422]. 34 p. application/pdf |
| spellingShingle | Viscoelasticity Geodesy Moore, James Daniel Paul Yu, Hang Tang, Chi-Hsien Wang, Teng Barbot, Sylvain Peng, Dongju Masuti, Sagar Dauwels, Justin Hsu, Ya-Ju Lambert, Valère Nanjundiah, Priyamvada Wei, Shengji Lindsey, Eric Feng, Lujia Shibazaki, Bunichiro Imaging the distribution of transient viscosity after the 2016 Mw 7.1 Kumamoto earthquake |
| title | Imaging the distribution of transient viscosity after the 2016 Mw 7.1 Kumamoto earthquake |
| title_full | Imaging the distribution of transient viscosity after the 2016 Mw 7.1 Kumamoto earthquake |
| title_fullStr | Imaging the distribution of transient viscosity after the 2016 Mw 7.1 Kumamoto earthquake |
| title_full_unstemmed | Imaging the distribution of transient viscosity after the 2016 Mw 7.1 Kumamoto earthquake |
| title_short | Imaging the distribution of transient viscosity after the 2016 Mw 7.1 Kumamoto earthquake |
| title_sort | imaging the distribution of transient viscosity after the 2016 mw 7 1 kumamoto earthquake |
| topic | Viscoelasticity Geodesy |
| url | https://hdl.handle.net/10356/85104 http://hdl.handle.net/10220/43617 |
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