Earthquake ground motion predictive equations for Garhwal Himalaya,India |
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| Institution: | 1. American International Group (AIG), CoE Analytics, Portfolio Modeling, Global Property, 5th Floor, Crescent 4, Whitefield, Bangalore 560048, India;2. Risk Modeling and Insurance Division, RMSI Private Limited, Sector-16, Noida 201301, India;3. Department of Earthquake Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, India;1. National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing, 100085, China;2. Key Laboratory of Compound and Chained Natural Hazards Dynamics, Ministry of Emergency Management of China, Beijing, 100085, China;3. Key Laboratory of Landslide Risk Early-warning and Control, Ministry of Emergency Management of China, Chengdu, 610059, China;4. School of Engineering and Technology, China University of Geosciences (Beijing), Beijing, 100083, China;5. School of Emergency Management Science and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China;1. Department of Civil Engineering, National Institute of Technology, Agartala, Tripura, 799046, India;2. Department of Civil Engineering, IIT (ISM) Dhanbad, Jharkhand, 826004, India;3. Department of Civil and Environmental Engineering, University of Surrey, Guildford, Surrey, GU2 7XH, UK;1. School of Computer Engineering, Shenzhen Polytechnic, Shenzhen, Guangdong 518055, China;2. College of Automation, Harbin Engineering University, Harbin, Heilongjiang 150001, China |
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| Abstract: | Predictive equations based on the stochastic approach are developed for earthquake ground motions from Garhwal Himalayan earthquakes of 3.5≤Mw≤6.8 at a distance of 10≤R≤250 km. The predicted ground motion parameters are response spectral values at frequencies from 0.25 to 20 Hz, and peak ground acceleration (PGA). The ground motion prediction equations (GMPEs) are derived from an empirically based stochastic ground motion model. The GMPEs show a fair agreement with the empirically developed ground motion equations from Himalaya as well as the NGA equation. The proposed relations also reasonably predict the observed ground motion of two major Himalayan earthquakes from Garhwal Himalayan region. For high magnitudes, there is insufficient data to satisfactorily judge the relationship; however it reasonably predicts the 1991 Uttarkashi earthquake (Mw=6.8) and 1999 Chamoli earthquake (Mw=6.4) from Garhwal Himalaya region. |
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| Keywords: | Garhwal Himalaya Stochastic simulation Spectral acceleration Ground motion prediction equations Attenuation |
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