A Case Study of Earthquake Vulnerability Assessment on Building and Population in...

A Case Study of Earthquake Vulnerability Assessment on Building and Population in Dehradun, India

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Abstract

A Case Study of Earthquake Vulnerability Assessment on Building and Population in Dehradun, India

Ujjwal Sur
GIS Engineer
RMSI Pvt.Ltd. India,
India
Email: [email protected],[email protected]

B. S. Sokhi
HeadandScientist
Indian Institute of RemoteSensing
Email: [email protected]

This paper presents a methodology to predict the seismic vulnerability of buildings by geostatistical analysis using geoinformation techniques based on a number of structural parameters determined on the basis of engineering knowledge and observations. It’s better to evaluate earthquake damage in a probabilistic way due to the uncertainty in occurrence of earthquake and respective structural response. Again, detailed seismic vulnerability evaluation is a technically complex and expensive procedure and can be applied on a very few number of buildings. Therefore, Rapid Visual Screening (RVS) can be much more effective to rapidly evaluate the vulnerability profile of different types of buildings, so that more complex procedures can be applied to the most critical buildings. In this case study, seismic vulnerability assessment of buildings and population is carried out for two diverse representative municipal wards of Dehradun City, India. Parameters considered for the generation of compatible building type classifications are roof type, structures, presence of cracks, maintenance, building shape, number of stories, year of construction etc. Next, under Indian condition, a damage probability matrix (DPM) is prepared to evaluate what will happen to buildings during earthquake of various intensities. To estimate risk of population, social vulnerability parameters like utilities, facilities, day and night time population, population at various age groups are taken. Finally, amount of vulnerability related to various buildings are calculated and its impact on population is shown.