ESTIMATING THE STRONG-MOTION OF THE DECEMBER 26, 2003 BAM (IRAN), EARTHQUAKE USING STOCHASTIC TECHNIQUES
Authors
Abstract:
Abstract : The main objective of this study is estimating the strong motion for the Bam region using the stochastically based seismological models. The two widely used synthetic techniques namely point-source and finite-fault were utilized incorporating the source-path and site parameters into simple function. The decay factor kappa was estimated based on the data obtained from recorded strong motions to be used as an appropriate factor for the region. The results were validated against those of the recorded data during the destructive 26 December 2003 Bam earthquake in south east of Iran. The efficiency of these methods and estimating the appropriate regional model parameters are the main objectives of this study. The results of the synthesized ground motion, such as acceleration time history, PGA and elastic response spectra were compared /assessed with those of observed data. The Bias model (MB) is used to assess the validation of the simulated earthquakes against recorded horizontal acceleration time histories. The %90 confidence interval of the means averaged over the whole stations using t-student distribution was evaluated and it was shown to be in an acceptable range. The elastic response spectra of the simulated strong motion are showed to be in a good agreement between the recorded waveforms confirming the acceptability of the selected/evaluated source-path-site model parameters. The sensitivity of the simulated PGA and response spectra against kappa factor as well as the path-averaged frequency-dependent quality factor Q, is studied and discussed.
similar resources
Damage Assessment with Very-High Resolution Optical Imagery Following the December 26, 2003 Bam, Iran Earthquake
This paper presents a methodology for quantifying the number of buildings that collapsed following the Bam earthquake. The approach is ‘object’ rather than ‘pixel’-oriented, commencing with the inventory of buildings as objects within high-resolution Quickbird satellite imagery captured before the event. The number of collapsed structures is computed based on the unique statistical characterist...
full textG JI S ei sm ol og y Seismotectonic , rupture process , and earthquake - hazard aspects of the 2003 December 26 Bam , Iran , earthquake
1COMET, Bullard Laboratories, Madingley Road, Cambridge, CB3 0EZ. E-mail: [email protected] 2Laboratoire de Geophysique Interne et Tectonophysique, UJF-CNRS, Grenoble, France 3Jet Propulsion Laboratory, California Institute of Technology, MS 300-233, 4800 Oak Grove Road, Pasadena, CA 91109, USA 4COMET, Department of Earth Sciences, Parks Road, Oxford, OX1 3PR 5Now at: Berkeley Seismological...
full textThe Study of the Performance of Bam Educational Managers in the 2003 Bam Earthquake
Background and objectives: Iran is an earthquake-prone country that has faced numerous crises in recent decades. The main purpose of this study is to consider the performance of educational managers to confront with the 2003 Bam earthquake crisis. This paper is an applied study. Method: This paper is a historical study with a qualitative approach. Various sources, including educational managers...
full textGenitourinary system trauma after 2003 Bam earthquake in Kerman, Iran
BACKGROUND Natural disasters, especially earthquakes, result in many health problems all over the world, of which urological injuries should not be underestimated. Car accidents and falling from a height are the most common causes of genitourinary system injury. The lack of specific data in the literature regarding the outcome of earthquake-related genitourinary system trauma prompted us to und...
full textBuilding Damage Detection of the 2003 Bam, Iran Earthquake Using Quickbird Images
A strong earthquake with magnitude 6.5 struck the city of Bam in the southeast Iran on December 26, 2003. The earthquake brought massive destruction to the city and its surrounding rural areas. The earthquake caused the deaths of approximately more than 26,000 residents and injured about 30,000. QuickBird captured a clear image of Bam on January 3, 2004, eight days after the event. The city was...
full textAutomated Damage Detection and Visualization of the 2003 Bam, Iran Earthquake Using High-resolution Satellite Images
This study focused in how to thoroughly exploit the capability of high-resolution satellite imagery such as IKONOS and QuickBird for disaster mitigation. An efficient automated methodology for damage detection was firstly implemented to derive the available rich information from satellite imagery. That detected results and the satellite imagery consequently were attractively presented through a...
full textMy Resources
Journal title
volume 19 issue 3
pages 45- 55
publication date 2008-07
By following a journal you will be notified via email when a new issue of this journal is published.
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023