Sensitivity analysis of input ground motion on surface motion parameters in high seismic regions: a case of Bhutan Himalaya
<p>Historical earthquakes demonstrate that strong motion characteristics and local soil condition, when coupled, significantly influence seismic site response. Interestingly, most of the Himalayan earthquakes depicted anomalous behavior per the site conditions historically. Being one of the mo...
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Copernicus Publications
2022-06-01
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Series: | Natural Hazards and Earth System Sciences |
Online Access: | https://nhess.copernicus.org/articles/22/1893/2022/nhess-22-1893-2022.pdf |
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author | K. Tempa K. R. Aryal N. Chettri G. Forte D. Gautam D. Gautam D. Gautam |
author_facet | K. Tempa K. R. Aryal N. Chettri G. Forte D. Gautam D. Gautam D. Gautam |
author_sort | K. Tempa |
collection | DOAJ |
description | <p>Historical earthquakes demonstrate that strong motion characteristics and local soil condition, when coupled, significantly influence seismic site response. Interestingly, most of the Himalayan earthquakes depicted anomalous behavior per the site conditions historically. Being one of the most active seismic regions on earth, the eastern fringe of the Himalaya has observed many devastating earthquakes together with non-uniform damage scenarios. To quantify such anomalies, we evaluate surface motion parameters for a soft soil deposit located in the city of Phuentsholing in western Bhutan. Using one-dimensional site response analysis, the sensitivity of ground motion variation is estimated. This study accounts for the earthquakes of moment magnitudes 6.6 to 7.5 with a wide variation in peak ground acceleration (PGA). To dissect the characteristics of six inputted ground motions on eight local ground conditions, a sensitivity analysis is performed statistically. The statistical correlation of the response datasets and the linear regression model of the bedrock outcrop and the surface motion spectral acceleration along the stratified depth are examined to quantify the variation in surface motion parameters. The results highlight that the strong motions with PGA greater than 0.34 g demonstrate greater sensitivity, leading to some anomalies in response parameters, especially amplification. Similar results were obtained for the low PGA range (<span class="inline-formula"><0.1</span> g).</p> |
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language | English |
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spelling | doaj.art-60598aaee87c48cf9e3f68cede4f139e2022-12-22T03:26:29ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812022-06-01221893190910.5194/nhess-22-1893-2022Sensitivity analysis of input ground motion on surface motion parameters in high seismic regions: a case of Bhutan HimalayaK. Tempa0K. R. Aryal1N. Chettri2G. Forte3D. Gautam4D. Gautam5D. Gautam6Civil Engineering Department, College of Science and Technology, Royal University of Bhutan, Phuentsholing, BhutanFaculty of Resilience, Rabdan Academy, Abu Dhabi, United Arab EmiratesCivil Engineering Department, College of Science and Technology, Royal University of Bhutan, Phuentsholing, BhutanDepartment of Civil, Environmental and Architectural Engineering (DICEA), University of Naples Federico II, Naples, ItalyDepartment of Civil Engineering, Cosmos College of Management and Technology, Lalitpur, NepalDepartment of Civil Engineering, Institute of Engineering, Thapathali Campus, Tribhuvan University, Kathmandu, NepalInterdisciplinary Research Institute for Sustainability, Kathmandu, Nepal<p>Historical earthquakes demonstrate that strong motion characteristics and local soil condition, when coupled, significantly influence seismic site response. Interestingly, most of the Himalayan earthquakes depicted anomalous behavior per the site conditions historically. Being one of the most active seismic regions on earth, the eastern fringe of the Himalaya has observed many devastating earthquakes together with non-uniform damage scenarios. To quantify such anomalies, we evaluate surface motion parameters for a soft soil deposit located in the city of Phuentsholing in western Bhutan. Using one-dimensional site response analysis, the sensitivity of ground motion variation is estimated. This study accounts for the earthquakes of moment magnitudes 6.6 to 7.5 with a wide variation in peak ground acceleration (PGA). To dissect the characteristics of six inputted ground motions on eight local ground conditions, a sensitivity analysis is performed statistically. The statistical correlation of the response datasets and the linear regression model of the bedrock outcrop and the surface motion spectral acceleration along the stratified depth are examined to quantify the variation in surface motion parameters. The results highlight that the strong motions with PGA greater than 0.34 g demonstrate greater sensitivity, leading to some anomalies in response parameters, especially amplification. Similar results were obtained for the low PGA range (<span class="inline-formula"><0.1</span> g).</p>https://nhess.copernicus.org/articles/22/1893/2022/nhess-22-1893-2022.pdf |
spellingShingle | K. Tempa K. R. Aryal N. Chettri G. Forte D. Gautam D. Gautam D. Gautam Sensitivity analysis of input ground motion on surface motion parameters in high seismic regions: a case of Bhutan Himalaya Natural Hazards and Earth System Sciences |
title | Sensitivity analysis of input ground motion on surface motion parameters in high seismic regions: a case of Bhutan Himalaya |
title_full | Sensitivity analysis of input ground motion on surface motion parameters in high seismic regions: a case of Bhutan Himalaya |
title_fullStr | Sensitivity analysis of input ground motion on surface motion parameters in high seismic regions: a case of Bhutan Himalaya |
title_full_unstemmed | Sensitivity analysis of input ground motion on surface motion parameters in high seismic regions: a case of Bhutan Himalaya |
title_short | Sensitivity analysis of input ground motion on surface motion parameters in high seismic regions: a case of Bhutan Himalaya |
title_sort | sensitivity analysis of input ground motion on surface motion parameters in high seismic regions a case of bhutan himalaya |
url | https://nhess.copernicus.org/articles/22/1893/2022/nhess-22-1893-2022.pdf |
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