Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/14709
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGupta, Kunalen_US
dc.contributor.authorNeelima Satyam, D.en_US
dc.date.accessioned2024-10-25T05:50:58Z-
dc.date.available2024-10-25T05:50:58Z-
dc.date.issued2024-
dc.identifier.citationGupta, K., & Satyam, N. (2024). An Integrated Approach to Co-seismic Landslide Hazard Assessment by Probabilistic Modeling of Parametrical Uncertainties in Modified Newmark’s Model. Indian Geotechnical Journal. Scopus. https://doi.org/10.1007/s40098-024-01076-4en_US
dc.identifier.issn0971-9555-
dc.identifier.otherEID(2-s2.0-85204205871)-
dc.identifier.urihttps://doi.org/10.1007/s40098-024-01076-4-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/14709-
dc.description.abstractThe probabilistic methods are receiving increasing recognition in assessing the hazards due to landslides, owing to the ability of these methods to consider the estimation uncertainties and geographical heterogeneity of geomorphological, geotechnical, geological, and seismological components. Therefore, the present study developed a probabilistic method to model the parametric uncertainties of modified Newmark’s method using the Monte Carlo simulation technique. The proposed methodology was applied to evaluate the hazard potential for co-seismic landslides in the Uttarakhand state, located in the Indian Himalayan region. The modified Newmark model considered in the study incorporates the rock joint shear strength properties instead of soil shear strength parameters in the permanent displacement computation of slopes. The simulations were done pixel-by-pixel by seamlessly integrating into the current GIS computational settings. When analyzing these data, statistical distributions were used to account for uncertainties and variations in the input parameters. Monte Carlo simulations were employed to generate various probability density functions for each individual pixel within the study area. These simulated distributions were then maintained consistently across the entire computational workflow, ensuring that the generated samples were preserved throughout the analysis. With no limitations on the symmetry or complexity of the underlying distributions, the resultant numbers were then turned into probabilistic hazard maps. In the final step, a hazard map was produced, where each pixel indicates the probability that slope displacement will surpass the 5 cm threshold. Values of probability are distributed between 0.1 and 1, with elevated values primarily observed in the upper Himalayan region, emphasizing the greater likelihood of co-seismic landslides in this zone. This seismic landslide hazard map serves as a valuable tool for local planners and authorities, enabling them to assess regions vulnerable to seismic landslide hazards and implement measures to mitigate potential losses. © The Author(s), under exclusive licence to Indian Geotechnical Society 2024.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.sourceIndian Geotechnical Journalen_US
dc.subjectCo-seismic landslidesen_US
dc.subjectMonte Carlo simulationsen_US
dc.subjectNewmark modelen_US
dc.subjectUttarakhanden_US
dc.titleAn Integrated Approach to Co-seismic Landslide Hazard Assessment by Probabilistic Modeling of Parametrical Uncertainties in Modified Newmark’s Modelen_US
dc.typeJournal Articleen_US
Appears in Collections:Department of Civil Engineering

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetric Badge: