Ground motion modelling in northwestern Himalaya using stochastic finite-fault method

Mir, Ramees R.; Parvez, Imtiyaz A.

doi:10.1007/s11069-020-04068-8

Cited by 8 publications

(4 citation statements)

References 38 publications

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“…Seismic hazard map has been developed for 0.025 o ×0.025 o size grid and it has been observed that PGA SUR values lies between 0.140 to 0.280 g. It has also been observed that higher PGA values for the region lies in proximity to Lineament 2. For better estimation of seismic hazard in the NW Himalaya region [30], also conducted the studies related to PGA estimation in the region using stochastic approach and calculated values of PGA at 2346 locations covering an area of about 1000000 km 2 of NW Himalaya and provided a PGA map of the study area with extreme resolution of 0.2 degree for better estimate of seismic danger in the region. Higher surface PGA SUR values (> 0.27 g) have been found for the middle portion of the study area including sites GRL-10, 11, 12 and 17 along with higher depth of GWT.…”

Section: Resultsmentioning

confidence: 99%

Assessment of Seismic Site Response and Liquefaction Potential for Some Sites using Borelog Data

Bhutani

Naval

2020

Civ Eng J

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Assessment of Liquefaction susceptibility of soil is very important aspect of disaster risk reduction for a particular region. The present research is an investigation to find out the liquefaction capability for the sites of Jalandhar and its surrounding region, Punjab (India) using semi empirical approach of Idris and Boulanger. Initially, the response of Ground has been analyzed with the help of DEEPSOIL software for evaluating the maximum ground acceleration values (PGASUR) at surface using five earthquake motions of magnitude, M = 6.0, 6.8 and 7.3 selected from worldwide recorded database based on seismicity of the region. The investigated PGA values ranges from 0.196 g to 0.292 g for the sites under investigation. Soil’s potential against liquefaction for 45 locations has been carried out using PGASUR results so obtained. It has been observed that eighteen sites out of forty-five are found to be susceptible to liquefaction. In order to help structural designers and geotechnical engineers for the preparation of realistic plan towards disaster risk reduction for the region, PGASUR contour map of obtained results and liquefaction hazard maps for earthquake of magnitude 6.0 and 7.0 has been prepared on geographical information system (GIS) platform using QGIS software. Doi: 10.28991/cej-2020-03091605 Full Text: PDF

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Section: Resultsmentioning

confidence: 99%

Assessment of Seismic Site Response and Liquefaction Potential for Some Sites using Borelog Data

Bhutani

Naval

2020

Civ Eng J

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“…6.1 Strong Ground Motion and Earthquake Hazard Assessment 6.1.1 Plate boundary regions Mir and Parvez (2020) simulated bedrock level peak ground motion at 2346 sites on a regular grid of 0.2 • x0.2 • in NW Himalaya from 543 simulated sources, using the stochastic finite-fault, dynamic corner frequency method, with particular emphasis on Kashmir Himalaya. Acceleration time series generated are then integrated to obtain velocity and displacement time series, which are all used to construct a suite of hazard maps of the region.…”

Section: Seismic Hazard Risk and Strong Ground Motion Studiesmentioning

confidence: 99%

INSA National Report on Seismological Research in India: 2019 – 2022

Manglik

2023

Preprint

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The Indian National Science Academy (INSA), the National Adhering body representing India in the International Union of Geodesy and Geophysics (IUGG), submits a National Report to the IUGG during its General Assembly, held every four years. The present chapter is a compilation for the International Association of Seismology and Physics of the Earth's Interior (IASPEI), one of the eight Associations of the IUGG, encompassing the scientific activities carried out in the country during 2019-2022, in the field of seismology. The chapter is arranged to categorize the contributions under internal structure of the Indian lithosphere and sub-lithospheric mantle, crust and upper mantle deformation, seismic attenuation, seismic hazards, triggered seismicity, environmental seismology, paleoseismology and seismological networks. In addition, the chapter includes activities related to societal projects and outreach programs. It is not an exhaustive review of the entire Indian contribution to seismology and allied fields during this period but a window to the topics covered within the framework of IASPEI.During the reporting period, researchers from several Indian R&D and Academic Institutions continued adding new results on the crustal and upper mantle structure of the Indian shield, both at regional and geological province scale. The Himalaya has been a major focus of seismological research for many Institutes who operated broadband seismological networks from Kashmir to Arunachal along the Himalayan arc. The data from these networks have facilitated in enhancing our understanding of the structure of the Main Himalayan Thrust, crustal and upper mantle structure as well as the dip of the underthrusting Indian plate, seismicity monitoring, and estimation of attenuation. Some of these networks also include accelerographs for strong ground motion studies. A few studies also focused on mapping of the mantle transition zone beneath the Indian Ocean Geoid Low. The studies on anthropogenic seismicity added near-field investigations in the Koyna -Warna region through borehole seismology. Organization of the Joint Scientific Assembly of IAGA and IASPEI during 21-27 August 2021 (JSA-2021) was a major event during this period related to the IUGG activities. Originally, the event was planned to be hosted at Hyderabad, India, but due to the COVID-19 pandemic it was organized in virtual mode. Initiatives have been taken to nucleate the field of environmental seismology in the country.

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“…In general, there are two types of ground motion-the real ground-motion records obtained by seismic stations in the advent of earthquakes, and synthetic ground motion. Real ground motions are obtained from the ground-motion database [1], whereas several methodologies are employed to obtain synthetic ground motions [2,3]. Many factors affect the structural response (e.g., load uncertainty, structural material, and construction quality), among which load uncertainty has the highest influence [4,5], and ground-motion input (as an important part of the structural load input) has a considerable effect.…”

Section: Introductionmentioning

confidence: 99%

“…Ground-motion-synthesis methodologies have been developed for many years, and several researchers have proposed different methods to simulate ground motions based on different principles. Currently, ground-motion-simulation methods are divided into three categories: (1) Ground-motion simulation based on the stochastic method; (2) physicsbased ground-motion-simulation methods; and (3) hybrid simulated ground motions [3,[7][8][9][10][11]. Numerous techniques for simulating ground motion are currently under investigation [12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

A Machine-Learning-Based Software for the Simulation of Regional Characteristic Ground Motion

Ding

Lin

et al. 2023

Applied Sciences

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Ground-motion simulations provide input time history data required for designing and assessing structures; however, the simulations conducted by the currently available tools only match the design spectrum without verifying if the statistical characteristics of the spectrum and duration are satisfied. A ground-motion simulation software was developed to resolve these issues. The developed software employs machine learning methods to match the amplitude, spectrum, and duration features of the target region. Principal component analysis is employed to extract features from the actual ground-motion database to detect characteristic ground motions and predict the target acceleration amplitude, response spectrum, and duration, based on the response spectrum and duration prediction equations. The results show that the simulated ground motion can match the amplitude, spectrum, and duration characteristics well. Therefore, the simulated ground motion can provide more reasonable input for the structure. Moreover, the developed software provides visualization functions that enable the user to determine the target area and obtain the amplitude field intuitively.

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Ground motion modelling in northwestern Himalaya using stochastic finite-fault method

Cited by 8 publications

References 38 publications

Assessment of Seismic Site Response and Liquefaction Potential for Some Sites using Borelog Data

Assessment of Seismic Site Response and Liquefaction Potential for Some Sites using Borelog Data

INSA National Report on Seismological Research in India: 2019 – 2022

A Machine-Learning-Based Software for the Simulation of Regional Characteristic Ground Motion

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