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Chapter 7:Hazard Analysis—Earthquakes <br /> Table 7-1. Conversion of MMI to PGA Values S ecitic to Ilawaii32 <br /> Perceived Shaking Not Felt Weak Light Moderate Strong Very Severe Violent Extreme <br /> S trong <br /> Potential Damage None None None Very Light Light Moderate Moder- Heavy Very <br /> ate/Heavy Heavy <br /> Peak Acceleration V.2 3.2-8.1 8.1-13 13-20 20-32 32-51 51-80 80-128 >128 <br /> (%g) <br /> Peak Velocity(%g) 1.9 1.9-6.4 6.4-11 11-18 18-28 28-47 47-74 74-120 <120 <br /> Modified Mercalli r 11-111 IV V VI Vii Viii IX X <br /> Intensity(MMI) <br /> Documentation for current hazard maps is given in Seismic Hazard in Hawaii: High Rate of <br /> Large Earthquakes and Probabilistic Ground-Motion Maps, by Fred W. Klein, Arthur D. <br /> Frankel, Charles S. Mueller, Robert L. Wesson, and Paul G. Okubo, Bulletin of the <br /> Seismological Society of America, Vol. 91, No. 3, pp. 479-498. June, 2001; USGS report <br /> 2724 published at http://Uubs.usgs.gov/imgp/2000/i-2724/. <br /> 7.3.1.2 Soil Conditions <br /> The seismic ground motion at a particular site can be significantly increased by weaker or <br /> "softer" soil conditions. Rock and soil conditions are categorized in the IBC by Site Classes <br /> A through F, sometimes referred to as Soil Types. Weaker soil indicates areas of greater <br /> potential hazard therefore Site Class should also be considered in individual building <br /> assessments. <br /> To be able to utilize the strong motion data recorded by the USGS Hawaiian strong motion <br /> network, knowledge of the subsurface site conditions beneath the USGS stations was <br /> required. The subsurface geology and, more important, the shear-wave velocity (Vs) <br /> structure beneath the USGS stations has been unknown to date. The information is invaluable <br /> to verify the appropriateness of the empirical ground motion attenuation models being used <br /> in the state hazard maps produced by USGS and in site-specific hazard analyses for <br /> engineering design. <br /> To obtain Vs information beneath the USGS strong motion sites, Spectral Analysis of <br /> Surface Waves (SASW) surveys were performed by the University of Texas, Austin, and <br /> URS Corporation in January 2008 (Wong et al. 2008). The SASW technique has been used <br /> to obtain Vs profiles at other USGS strong motion sites (e.g., Seattle, the Imperial Valley, <br /> and Los Angeles), and this technique has been well validated against other approaches, such <br /> as down-hole surveys (e.g., Wong and Silva 2006). The technique has been particularly <br /> useful in volcanic regimes where interbedded volcanic sequences can result in low-velocity <br /> zones (e.g.,Yucca Mountain and Los Alamos). <br /> The SASW methodology is a non-destructive and non-intrusive seismic method. It utilizes <br /> the dispersive nature of Rayleigh-type surface waves propagating through a layered material <br /> to estimate the shear-wave velocity profile of the material (Stokoe et al. 1994; Joh 1996). In <br /> this context, dispersion arises when surface-wave velocity varies with wavelength or <br /> 32 Based on Wyss&Koyanagi 1992 <br /> 7-15 Hawaii Countv Multi-Hazard Mitigation Plan <br />