方法对比

	Liquefaction Hazard Assessment	概率地震危险性分析 (PSHA)
领域	Disaster Studies	土木工程
方法族	Process / pipeline	Process / pipeline
起源年份	2017	1968
提出者	Jing Zhu, Laurie Baise & Eric Thompson (geospatial model); engineering-geology liquefaction-zonation tradition	C. Allin Cornell
类型	Spatial hazard-mapping pipeline combining susceptibility, demand and probability	Quantitative probabilistic framework
开创性文献	Zhu, J., Baise, L. G., & Thompson, E. M. (2017). An Updated Geospatial Liquefaction Model for Global Application. Bulletin of the Seismological Society of America, 107(3), 1365-1385.	Cornell, C. A. (1968). Engineering seismic risk analysis. Bulletin of the Seismological Society of America, 58(5), 1583–1606.
别名	Liquefaction Hazard Mapping, Regional Liquefaction Susceptibility Mapping, Geospatial Liquefaction Modeling, Liquefaction Potential Zonation	PSHA, seismic hazard analysis, probabilistic earthquake hazard assessment, Cornell-McGuire method
相关	3	1
摘要	Liquefaction hazard assessment maps where earthquake-induced liquefaction is likely to occur and how severe its surface effects will be, across areas ranging from a city to a whole region. Unlike site-specific triggering analysis, which evaluates a single soil column from borehole data, regional assessment must predict liquefaction over wide areas where detailed subsurface data are sparse, so it relies on geospatial proxies for soil susceptibility together with a map of seismic demand. Zhu, Baise, and Thompson's 2017 geospatial model exemplifies the modern approach, predicting the probability of liquefaction from globally available variables such as slope-derived shear-wave velocity, a compound topographic index, and magnitude-adjusted peak ground acceleration, calibrated on documented liquefaction from past earthquakes. The Youd and Idriss 2001 consensus framework supplies the underlying site-scale physics and the severity indices that translate probability into expected damage. The product is a hazard map showing the spatial probability and intensity of liquefaction. It supports rapid post-earthquake response, loss estimation, and land-use planning where borehole-by-borehole analysis is infeasible.	Probabilistic Seismic Hazard Analysis (PSHA) is a quantitative engineering framework used in civil and geotechnical engineering to estimate the likelihood that ground shaking will exceed a specified intensity level at a site within a given time window. By combining earthquake source geometry, recurrence statistics, and ground-motion attenuation models, PSHA produces hazard curves and maps that inform seismic design codes, infrastructure planning, and risk management decisions.