Thread: SSA 2021 session: Fault Displacement Hazard: New Data and Modeling Advances

Started: 2021-01-08 00:09:26
Last activity: 2021-01-08 00:09:26
Topics: SSA Meetings
Dear colleague,

We invite you to submit an abstract to the session "Fault Displacement Hazard: New Data and Modeling Advances” of the virtual 2021 Seismological Society of America (SSA) Annual Meeting (April 19-23, 2021). We hope to stimulate discussions about fault displacement hazard and presentations of recent proceedings in data and models. The deadline to submit abstracts is January 13, 2021 at 5 p.m. PST.

Fault Displacement Hazard: New Data and Modeling Advances
Coseismic fault displacements resulting from earthquakes can cause significant damage to the built world. Fault displacement hazard quantification presents an especially important challenge for distributed infrastructures that span long distances, such as railways, or that densely cover wide areas, such as gas distribution systems. For these types of infrastructure, fault crossings can not always be avoided and present a threat that is often difficult to mitigate. In spite of the risks it poses, fault displacement hazard is poorly constrained, partly due to the scarcity of detailed fault-displacement observations. In this session, we welcome presentations on topics that support the development of the next generation probabilistic fault displacement hazard analysis (PFDHA) models. PFDHA requires the integration of the best available information and science from fault rupture physics and rheology while accounting for region-specific geology, seismicity and tectonic setting of the study area. Topics of interest for this session include: (i) new fault displacement datasets; (ii) recent advances in surface deformation imaging that facilitate the gathering and interpretation of detailed fault displacement data; (iii) emergent techniques for dynamic rupture modeling that support a better physical understanding of this complex natural phenomenon; and (iv) new engineering modeling approaches that integrate information from several disciplines and take into account variability and uncertainty quantification.

We hope to see you there!

Abstract submission:

Yousef Bozorgnia (yousefbozorgnia<at>, University of California, Los Angeles
Christine A. Goulet (cgoulet<at>, Southern California Earthquake Center
Yongfei Wang (yongfeiw<at>, Southern California Earthquake Center
17:30:30 v.ad6b513c