Re-Calibrating the Thresholds for the Classification of Liquefaction Potential Index Based on the 2004 Niigata-Ken Chuetsu Earthquake
The liquefaction potential index (LPI) has been applied with increasing frequency to assess the potential for liquefaction-induced ground failures. This paper describes strategies used to re-calibrate the LPI using accepted methods for screening the liquefaction potential and evaluates its application to the seismic hazard mapping of political tracts. In this study soil profiles using standard penetration tests were evaluated using two methods, the Chinese criteria and the Bray-Sancio criteria. The LPI values were then calculated from these profiles at non-liquefied and liquefied sites in Nagaoka City during the 2004 Niigata-ken Chuetsu earthquake in Japan. Our results suggest that 50% of the liquefied sites exhibited LPI values < 15, and 75% of the non-liquefied sites exhibited LPI values < 11 when applying the Chinese criteria. For the Bray-Sancio criteria, 50% of the liquefied sites and 75% of the non-liquefied sites exhibited LPI values < 21 and < 14, respectively. We then attempted to map liquefaction hazards using the alternative LPI thresholds (low hazard if LPI < 14; moderate if 14 ≤ LPI < 21; high if 21 ≤ LPI) and applied regression analyses between the LPI and the controlling variables (i.e., groundwater depth and peak ground acceleration). Based on the comparison of the predictions with the liquefaction inventory for the 2004 earthquake, our LPI thresholds and mapping method were able to predict ~ 70% of damaged areas.
G. Kang et al., "Re-Calibrating the Thresholds for the Classification of Liquefaction Potential Index Based on the 2004 Niigata-Ken Chuetsu Earthquake," Engineering Geology, vol. 169, pp. 30-40, Elsevier, Feb 2014.
The definitive version is available at https://doi.org/10.1016/j.enggeo.2013.11.012
Geosciences and Geological and Petroleum Engineering
Keywords and Phrases
GIS; Groundwater; Hazards; LPI; Microzonation; Nagaoka; Liquefaction Hazards; Liquefaction Potential Index; Peak Ground Acceleration; Standard Penetration Test; Forecasting; Geographic Information Systems; Regression Analysis; Soils; Chubu; Honshu; Japan; Nagaoka; Niigata
International Standard Serial Number (ISSN)
Article - Journal
© 2014 Elsevier, All rights reserved.
01 Feb 2014