A sand blow from a paleo-earthquake was identified at Fort Dorchester, South Carolina in 2007. Geotechnical field investigations indicate the thickness of the source sand layer ranges from 1.2 to 3.1 m and the depth below the ground... more
A sand blow from a paleo-earthquake was identified at Fort Dorchester, South Carolina in 2007. Geotechnical field investigations indicate the thickness of the source sand layer ranges from 1.2 to 3.1 m and the depth below the ground surface to the top of the layer ranges from 2.3 to 3.9 m. The layer is predominantly angular to subangular silty quartz sand with a fines content of 4 to 22 % and the predominant mean grain diameter of 0.18 to 0.26 mm. The geotechnical data were used with paleoliquefaction evaluation methods and two independent relations to account for soil aging to estimate the minimum magnitude and peak ground acceleration of the prehistoric earthquake. Four regionally proper Ground Motion Prediction Equations were used in combination with the back-calculated peak ground accelerations to obtain proper estimation of a max-M. For a range of site-to-source distance from 4 to 10 km, the minimum earthquake magnitude and peak ground acceleration of prehistoric earthquakes at the Fort Dorchester site ranges from 5 to 6.3 and 0.19 to 0.39g respectively.
ABSTRACT The problem of converting from one magnitude scale to another is revisited in light of a method that preserves the b‐value of the Gutenberg–Richter (GR) law of one of the two magnitude distributions. This methodology allows for... more
ABSTRACT The problem of converting from one magnitude scale to another is revisited in light of a method that preserves the b‐value of the Gutenberg–Richter (GR) law of one of the two magnitude distributions. This methodology allows for the use of all reliable magnitude data rather than data of only those events for which paired magnitudes are available. Our method avoids resolving incompatible magnitude ranges. The temporal stability of a‐and b‐values and of the resulting linear relation coefficients is considered as a basis for selecting an ...
Sulawesi, one of the biggest island in Indonesia, located on the convergence of two macro plate that is Eurasia and Pacific. NOAA and Novosibirsk Tsunami Laboratory show more than 20 tsunami data recorded in Sulawesi since 1820. Based on... more
Sulawesi, one of the biggest island in Indonesia, located on the convergence of two macro plate that is Eurasia and Pacific. NOAA and Novosibirsk Tsunami Laboratory show more than 20 tsunami data recorded in Sulawesi since 1820. Based on this data, determination of correlation between tsunami and earthquake parameter need to be done to proved all event in the past. Complete data of magnitudes, fault sizes and tsunami heights on this study sourced from NOAA and Novosibirsk Tsunami database, completed with Pacific Tsunami Warning Center (PTWC) catalog. This study aims to find correlation between moment magnitude, fault size and tsunami height by simple regression. The step of this research are data collecting, processing, and regression analysis. Result shows moment magnitude, fault size and tsunami heights strongly correlated. This analysis is enough to proved the accuracy of historical tsunami database in Sulawesi on NOAA, Novosibirsk Tsunami Laboratory and PTWC.
This article discusses one of the most commonly asked questions by the general public relating to earthquake magnitude that a structure can safely resist. It explains the problems in measuring earthquakes and the large number of variables... more
This article discusses one of the most commonly asked questions by the general public relating to earthquake magnitude that a structure can safely resist. It explains the problems in measuring earthquakes and the large number of variables involved in the interpretation of earthquake hazards. It then presents possible ways in which this question can be answered and proposes site-specific analysis and a performance-based design approach as one of the most effective methods to do so.
