日本地球惑星科学連合2025年大会

講演情報

[J] ポスター発表

セッション記号 S (固体地球科学) » S-SS 地震学

[S-SS11] 強震動・地震災害

2025年5月30日(金) 17:15 〜 19:15 ポスター会場 (幕張メッセ国際展示場 7・8ホール)

コンビーナ:久保 久彦(国立研究開発法人防災科学技術研究所)、友澤 裕介(鹿島建設)

17:15 〜 19:15

[SSS11-P16] Referenced Empirical Ground-Motion Model for the Himalayan region

*Shikha Sharma1Omkar -1Utsav Mannu1、Sanjay Singh Bora2 (1.Department of Earth Sciences, Indian Institute of Technology Gandhinagar, Gujarat, India、2.GNS Science 1 Fairway Drive, Lower Hutt, 5011 New Zealand )


キーワード:Ground motion models, Referenced ground motion models, PSHA

We introduce a referenced empirical approach for developing a ground motion model (GMM) tailored to the Indian context, with a specific focus on the Himalayan region. This method integrates the recently compiled Indian ground-motion database with the empirical predictions of Abrahamson and Silva (2008, AS08), originally developed under the NGA-West2 project. In India and the Himalayas, global GMMs such as those from NGA-West2 and Japanese datasets are commonly used for Probabilistic Seismic Hazard Analysis (PSHA). However, this assumes that these models accurately represent the median ground motions, aleatory variability, and epistemic uncertainties of the region. AS08 was selected based on a residual analysis that demonstrated its close alignment with the Indian dataset. The referenced empirical approach offers a GMM for active crustal regions that aligns well with observed regional ground motions while maintaining the overall ground-motion scaling behavior seen in well-instrumented active tectonic regions. As an alternative to the widely used stochastic ground-motion relations in India, this approach provides robust regional predictions. Ground-motion amplitudes are evaluated at four frequencies: 0, 0.5, 1, and 5 Hz. The model follows a simplified functional form and exhibits trends comparable to stochastic models at short distances and low-to-moderate frequencies but generates higher amplitudes for large events. Additionally, our approach predicts ground motions that are consistent with the hybrid empirical method (Campbell, 2003). Our approach explores alternative methodologies to stochastic GMMs that can provide insights into epistemic uncertainties, ultimately improving seismic hazard assessment in the Himalayan region.