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Publication Type : Journal Article
Publisher : Journal of Earthquake Engineering
Source : Journal of Earthquake Engineering, Taylor and Francis Ltd. (2019)
Keywords : Gaussian maximum likelihood, Hazards, land use, Maps, Maximum likelihood, Peak ground acceleration, Probabilistic seismic hazard analysis, PSHA, Remote sensing, risk assessment, Seismic hazard assessment, Seismic hazards, Seismic response, Seismic risk, Seismic risk assessment
Campus : Coimbatore
School : School of Engineering
Department : Civil
Year : 2019
Abstract : This article presents a combined seismic risk assessment of Mangalore city, considering seismic hazard and Land Use (LU) patterns. Probabilistic seismic hazard analysis was carried out considering different source models and attenuation relations to predict Peak Ground Acceleration at every square kilometer. LU of the area was assessed using GIS tools with the built-in supervised Gaussian maximum likelihood algorithm on processed remote sensing data from temporal Landsat images. The risk map showed the concentration of built-up area South-West, toward the sea and the seismic hazard following an increasing trend from the coast to further inland. © 2019, © 2019 Taylor & Francis Group, LLC.
Cite this Research Publication : Ramkrishnan R., Dr. Sreevalsa Kolathayar, and Sitharam, T. G., “Seismic Hazard Assessment and Land Use Analysis of Mangalore City, Karnataka, India”, Journal of Earthquake Engineering, 2019.