Regional earthquake-induced landslide assessments for use in seismic risk analyses of distributed gas infrastructure systems

被引:5
作者
Ojomo, Olaide [1 ]
Rathje, Ellen M. [2 ]
Wang, Pengfei [3 ]
Lavrendiatis, Greg [4 ]
Zimmaro, Paolo [5 ,8 ]
Asimaki, Domniki [6 ]
Stewart, Jonathan P. [7 ]
机构
[1] Rosenxt Grp, San Luis Obispo, CA USA
[2] Univ Texas, Janet S Cockrell Centennial Chair Engn, Dept Civil Arch & Env Engn, Houston, TX USA
[3] Old Dominion Univ, Civil & Environm Engn Dept, Norfolk, VA USA
[4] CALTECH, Dept Mech & Civil Engn, Pasadena, CA USA
[5] Univ Calabria, Dept Environm Engn, Arcavacata Di Rende, Italy
[6] CALTECH, Dept Mech & Civil Engn, Pasadena, CA USA
[7] Univ Calif Los Angeles, Dept Civil & Environm Engn, Los Angeles, CA USA
[8] Univ Calif Los Angeles, J Garrick Inst Risk Sci, Los Angeles, CA USA
关键词
Earthquake-induced landslides; Critical infrastructure risk assessment; Regional scale shear strength assignment; Landslide attributes; Geomorphic slope units; Logic tree analysis; INDUCED SLIDING DISPLACEMENTS; SLOPE UNIT; MODELS; PREDICTION;
D O I
10.1016/j.enggeo.2024.107664
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
Earthquake-induced landslides are associated with significant risks to human lives and infrastructure. Spatially distributed infrastructure systems, such as pipelines, power lines, and transportation networks, are at particular risk to seismic landslides due to their large spatial extent. To conduct a comprehensive seismic landslide risk assessment for these systems, there is the need to evaluate the seismic landslide characteristics (i.e., location, size, displacement, direction) on a broad, regional scale. This paper presents a framework for seismic landslide analysis that provides this information for subsequent risk assessments. The approach computes seismic landslide displacements using a sliding block approach while accounting for the uncertainties in the input variables and displacement models using a logic tree. The computed displacements are then aggregated based on geomorphic landforms to define landslide zones. For each landslide zone, the statistical distributions of landslide features, such as landslide size, displacement level, and direction of movement, are defined. These attributes are presented in a format that can be integrated with fragility models for distributed infrastructure systems to quantify risk on a regional scale. The application of the approach is demonstrated through assessments for gas pipeline networks across the state of California in the United States.
引用
收藏
页数:15
相关论文
共 47 条
  • [1] Abou-Jaoude Grace, 2016, Geo-Chicago 2016. Sustainability and Resiliency in Geotechnical Engineering. Proceedings, P177
  • [2] Parameter-free delineation of slope units and terrain subdivision of Italy
    Alvioli , Massimiliano
    Guzzetti, Fausto
    Marchesini, Ivan
    [J]. GEOMORPHOLOGY, 2020, 358
  • [3] Automatic delineation of geomorphological slope units with r.slopeunits v1.0 and their optimization for landslide susceptibility modeling
    Alvioli, Massimiliano
    Marchesini, Ivan
    Reichenbach, Paola
    Rossi, Mauro
    Ardizzone, Francesca
    Fiorucci, Federica
    Guzzetti, Fausto
    [J]. GEOSCIENTIFIC MODEL DEVELOPMENT, 2016, 9 (11) : 3975 - 3991
  • [4] [Anonymous], 2002, California geomorphic provinces
  • [5] Blake T.F., 2002, Recommended Procedures for Implementation of DMG Special Publication 117 Guidelines for Analyzing and Mitigating Landslide Hazards in California, P130
  • [6] On the use of logic trees for ground-motion prediction equations in seismic-hazard analysis
    Bommer, JJ
    Scherbaum, F
    Bungum, H
    Cotton, F
    Sabetta, F
    Abrahamson, NA
    [J]. BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA, 2005, 95 (02) : 377 - 389
  • [7] A latent Gaussian process model for the spatial distribution of liquefaction manifestation
    Bullock, Zach
    Zimmaro, Paolo
    Lavrentiadis, Grigorios
    Wang, Pengfei
    Ojomo, Olaide
    Asimaki, Domniki
    Rathje, Ellen M.
    Stewart, Jonathan P.
    [J]. EARTHQUAKE SPECTRA, 2023, 39 (02) : 1189 - 1213
  • [8] California State Water Resources Control Board (CSWRCB), 2020, California Groundwater Ambient Monitoring and Assessment Program (GAMA)
  • [9] GIS TECHNIQUES AND STATISTICAL-MODELS IN EVALUATING LANDSLIDE HAZARD
    CARRARA, A
    CARDINALI, M
    DETTI, R
    GUZZETTI, F
    PASQUI, V
    REICHENBACH, P
    [J]. EARTH SURFACE PROCESSES AND LANDFORMS, 1991, 16 (05) : 427 - 445
  • [10] Detweiler S., 2018, The HayWired Earthquake Scenario Earthquake Hazards: U.S. Geological Survey Scientific Investigations Report 20175013AH, DOI [10.3133/sir20175013v1, DOI 10.3133/SIR20175013V1]