Location
Arlington, Virginia
Date
16 Aug 2008, 8:45am - 12:30pm
Abstract
Microtremor method is the most inexpensive and convenient technique for dynamic site characterization of sedimentary basins. This study was carried out in Delhi NCR at 144 different stations and field measurements were taken using velocity sensors for a period of 1 hr at each station point. The data was analyzed using VIEW 2002 software for the estimation of fundamental resonance frequency. The results of the all 144 stations were divided into four categories (T1, T2, T3, and T4) based on the shape of the H/V spectra, resonance frequency and soil type. Since the detailed (bore hole data) soil profile at all these locations is available, the resonance frequency is compared with sedimentary thickness. It is observed that the resonance frequency is high at ridge areas and very low in places with high sedimentary thickness close to Yamuna.
Department(s)
Civil, Architectural and Environmental Engineering
Meeting Name
6th Conference of the International Conference on Case Histories in Geotechnical Engineering
Publisher
Missouri University of Science and Technology
Document Version
Final Version
Rights
© 2008 Missouri University of Science and Technology, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Document Type
Article - Conference proceedings
File Type
text
Language
English
Recommended Citation
Satyam, Neelima and Rao, K. S., "Seismic Site Characterization of Delhi Region Using Microtremor Method: A Case Study" (2008). International Conference on Case Histories in Geotechnical Engineering. 26.
https://scholarsmine.mst.edu/icchge/6icchge/session03/26
Seismic Site Characterization of Delhi Region Using Microtremor Method: A Case Study
Arlington, Virginia
Microtremor method is the most inexpensive and convenient technique for dynamic site characterization of sedimentary basins. This study was carried out in Delhi NCR at 144 different stations and field measurements were taken using velocity sensors for a period of 1 hr at each station point. The data was analyzed using VIEW 2002 software for the estimation of fundamental resonance frequency. The results of the all 144 stations were divided into four categories (T1, T2, T3, and T4) based on the shape of the H/V spectra, resonance frequency and soil type. Since the detailed (bore hole data) soil profile at all these locations is available, the resonance frequency is compared with sedimentary thickness. It is observed that the resonance frequency is high at ridge areas and very low in places with high sedimentary thickness close to Yamuna.
