2019
DOI: 10.1080/17499518.2019.1598560
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Seismic vulnerability assessment of earthquake-prone mega-city Shillong, India using geophysical mapping and remote sensing

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Cited by 10 publications
(4 citation statements)
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“…In the same note, there was compelling evidence of varying shear wave velocity profiles prevalent in Shillong region, which also advocated the existence of low velocity zones at some pocket areas [46]. In another recent study [47], there is indication of the existence of stiff soil and rocks at different depths whereas resonant frequency; thus revealing a vulnerability rate of 60%. Accordingly, the topographical profile as shown in Figure 7 bears much significance.…”
Section: Discussion and Inferencementioning
confidence: 89%
“…In the same note, there was compelling evidence of varying shear wave velocity profiles prevalent in Shillong region, which also advocated the existence of low velocity zones at some pocket areas [46]. In another recent study [47], there is indication of the existence of stiff soil and rocks at different depths whereas resonant frequency; thus revealing a vulnerability rate of 60%. Accordingly, the topographical profile as shown in Figure 7 bears much significance.…”
Section: Discussion and Inferencementioning
confidence: 89%
“…The concept of seismic vulnerability is a yard-stick of damage estimation from a probable earthquake, considering physical cum social dimension and enables a basis for decision-makers to develop preparedness and mitigation strategies. Baruah et al (2020) used several parameters, e.g. shear wave velocity characteristics, geomorphology, slope angle, building typology, and the number of occupants, to estimate the dimension of vulnerability for the Shillong city.…”
Section: Microzonation Studiesmentioning
confidence: 99%
“…The collapse rate of buildings can go up as high as 80 % if the epicentre of an earthquake is closer to the settlement. Baruah et al (2020) have assessed the seismic vulnerability of the mega-city Shillong in India using RVS methodology by including parameters like building typology, local geology, geomorphology, slope angle, and population, suggesting that 60 % of the city falls under moderate to high vulnerability zones. Jena et al (2021) carried out an analysis of the earthquake vulnerability of the Indian subcontinent using the LSTM (long short-term memory) model and multi-criterion analysis (MCA), which suggested that highly vulnerable areas are situated towards the northern and eastern parts of India.…”
Section: Introductionmentioning
confidence: 99%