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Spatial variation of probabilistic seismic hazard for Mumbai and surrounding region

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  • Sarika Desai
  • Deepankar Choudhury

Abstract

Mumbai city, the economical capital of India, is located on the west coast of stable intra-plate continental region of Peninsular India which has an experience of significant historical earthquakes in the past. The city stood as the fourth most populous city in the world. Recent seismo-tectonic studies of this city highlighted the presence of active West coast fault and Chiplun fault beneath the Deccan basalt. In the present study, spatial variability of probabilistic seismic hazard for Mumbai region (latitudes of 18.85–19.35°N and longitudes of 72.80–73.15°E at a grid spacing of 0.05°) which includes Mumbai city, Suburban, part of Thane district and Navi Mumbai, in terms of ground motion parameters; peak horizontal acceleration and spectral acceleration at 1.0-s period for 2 and 10 % probability of exceedance in 50 years are generated. The epistemic uncertainty in hazard estimation is accounted by employing seven different ground motion prediction equations developed for worldwide shallow crustal intra-plate environments. Further, the seismic hazard results are deaggregated for Mumbai (latitude 18.94°N, longitude 72.84°E) to understand the relative contributions of earthquake sources in terms of magnitude and distance. The generated hazard maps are compared with the zoning specified by Indian seismic code (IS1893: Part 1 in Indian standard criteria for earthquake-resistant design of structures, Part 1—General provisions and buildings. Bureau of Indian Standards, New Delhi, India, 2002 ) for rocky site. Present results show an underestimation of potential seismic hazard in the entire study region by non-probabilistic zoning prescribed by IS1893: Part 1 with significantly higher seismic hazard values in the southern part of Navi Mumbai. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Sarika Desai & Deepankar Choudhury, 2014. "Spatial variation of probabilistic seismic hazard for Mumbai and surrounding region," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(3), pages 1873-1898, April.
  • Handle: RePEc:spr:nathaz:v:71:y:2014:i:3:p:1873-1898
    DOI: 10.1007/s11069-013-0984-4
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    References listed on IDEAS

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    1. Kaustav Chatterjee & Deepankar Choudhury, 2013. "Variations in shear wave velocity and soil site class in Kolkata city using regression and sensitivity analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(3), pages 2057-2082, December.
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    3. Sumedh Mhaske & Deepankar Choudhury, 2011. "Geospatial contour mapping of shear wave velocity for Mumbai city," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 59(1), pages 317-327, October.
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    5. T. Sitharam & K. Vipin, 2011. "Evaluation of spatial variation of peak horizontal acceleration and spectral acceleration for south India: a probabilistic approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 59(2), pages 639-653, November.
    6. Sreevalsa Kolathayar & T. Sitharam & K. Vipin, 2012. "Spatial variation of seismicity parameters across India and adjoining areas," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 60(3), pages 1365-1379, February.
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    4. Abhishek Kumar & Olympa Baro & N. H. Harinarayan, 2016. "Obtaining the surface PGA from site response analyses based on globally recorded ground motions and matching with the codal values," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(1), pages 543-572, March.
    5. Abhishek Kumar & Olympa Baro & N. H. Harinarayan, 2016. "Obtaining the surface PGA from site response analyses based on globally recorded ground motions and matching with the codal values," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(1), pages 543-572, March.
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