Analyzing Spatial Intraevent Variability of Peak Ground Accelerations as a Function of Separation Distance

Research Article| June 01, 2003 Analyzing Spatial Intraevent Variability of Peak Ground Accelerations as a Function of Separation Distance Hideji Kawakami; Hideji Kawakami Search for other works by this author on: GSW Google Scholar Hidenori Mogi Hidenori Mogi Search for other works by this author on: GSW Google Scholar Author and Article Information Hideji Kawakami Hidenori Mogi Publisher: Seismological Society of America Received: 18 Jan 2002 First Online: 09 Mar 2017 Online ISSN: 1943-3573 Print ISSN: 0037-1106 Copyright © 2003 by the Seismological Society of America Bulletin of the Seismological Society of America (2003) 93 (3): 1079–1090. https://doi.org/10.1785/0120020026 Article history Received: 18 Jan 2002 First Online: 09 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Hideji Kawakami, Hidenori Mogi; Analyzing Spatial Intraevent Variability of Peak Ground Accelerations as a Function of Separation Distance. Bulletin of the Seismological Society of America 2003;; 93 (3): 1079–1090. doi: https://doi.org/10.1785/0120020026 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyBulletin of the Seismological Society of America Search Advanced Search Abstract Peak ground acceleration (PGA) as a measure of earthquake motion intensity is an important factor in the earthquake-resistant design and reliability analysis of structures. The purpose of this article is to examine the spatial variability of PGAs (recorded at the same epicentral distance) as a function of separation distance. To do this, we define PGA ratios as spatial intraevent variations of PGAs and examine their statistical characteristics. We analyze the probability distribution of the ratios and formulate equations for their probability density functions, mean values, standard deviations, and percentiles. These statistics are then estimated using accelerometer arrays of the Chiba, SMART-1, and SIGNAL databases. Then, the relationship between these statistics and the station separation distances is analyzed. We found that the means and standard deviations have an almost linear relationship with the logarithm of the station separation distances ranging from several meters to 100 km. Finally, based on the fiftieth and ninety-fifth percentiles, the differences between PGAs at two different sites due to future earthquakes are discussed. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.