Abstract:
This report contains details of the methodology for evaluating ’Earthquake Loss Estimation
for Kangra-Dharmshala region’, which is one of the most seismically active regions in India.
Deterministic seismic hazard analysis has been used to estimate the probable seismic hazard
and consequent losses due to earthquakes for Kangra-Dharmshala region and adjacent area
by calculating interaction between the hazard, vulnerability and exposure.
The area under consideration comes in zone v of zoning map of India and is one of the most
seismically active regions in India. The Kangra-Dharamshala region is situated on the
foothills of Shivalik and Dahuladhar mountain ranges which are mostly sedimentary ans the
construction in the region is not planned and up to the mark these factors could lead to
increase losses in case of an seismic event. So loss estimation for the region becomes
important in order to have proper risk mitigation.
Deterministic Seismic Hazard Approach (DSHA) has been used to calculate the maximum
credible earthquake that could strike the region. Seismotectonic Atlas of India (GSI, 2000)
and ArcGIS have been used to calculate maximum credible earthquake in the region due to
different seismogenic sources. Two different Attenuation models have been used to calculate
PGA value in the region. Population data have been taken from the Census 2011. Also
building inventory data has been prepared for the region by using information from various
sources like municipal cooperation, Socio Economic caste Census (2011),Topographical
maps etc. different MBT classes have been identified in the city and capacity curve
parameters for each MBT have been established for Vulnerability analysis. Vulnerability
Class and Damage state definitions have been taken from various researchers (Kappos et al.,
2006).Damage probabilities and Displacement demand have been calculated using
SeisVARA-Spectrum software (Haldar et al., 2013). At last earthquake loss for the region
has been calculated in terms of total economic losses and number of casualties for maximum
PGA value in the region using SeisVARA-Spectrum. This study could be used to mitigate
risk and prepare for this type of seismic event.
