Probabilistic seismic source inversion from regional landslide evidence
Probabilistic seismic source inversion from regional landslide evidence
复制标题
根据区域滑坡证据进行概率震源反演
DOI:
10.1007/s10346-021-01780-9
复制
发表时间:
2022
期刊:
影响因子:
6.7
通讯作者:
Maurer, Brett W.
中科院分区:
文献类型:
--
作者:
Rasanen, Ryan A.;Maurer, Brett W.
In regions of infrequent but potentially damaging seismicity, modern earthquake inventories may be insufficient to provide inputs to seismic hazard analyses (i.e., fault locations and magnitude–frequency relations). As a result, analysis of paleoseismic evidence, such as coseismic landsliding, is commonly used to help elucidate the seismic record, thereby reducing seismic hazard uncertainty. However, while paleolandslides have been investigated widely, existing inverse-analysis techniques (i.e., to constrain the causative earthquake magnitude and/or ground motions) have several shortcomings, namely, they (i) require the location of the causative earthquake to be known, (ii) provide only a lower-bound estimate of seismic parameters, and (iii) are deterministic in nature. Accordingly, this paper proposes a flexible inversion framework that probabilistically constrains seismic source parameters from regional paleolandslide evidence. The outputs of this framework are (i) a geospatial likelihood surface that constrains the location of fault rupture and (ii) a probability distribution of the rupture magnitude. Simulated paleolandslide studies are performed on modern earthquakes with known parameters. These examples demonstrate the framework’s provocative potential as well as important lessons for implementation. The proposed framework has the potential to extract new insights from relic landslide evidence in seismic zones worldwide.
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影响因子:
4.8
作者:
Baolin Wang
通讯作者:
Baolin Wang
影响因子:
5
作者:
Geyin, Mertcan;Baird, Alex J.;Maurer, Brett W.
通讯作者:
Maurer, Brett W.
影响因子:
7.4
作者:
Rasanen, Ryan A.;Marafi, Nasser A.;Maurer, Brett W.
通讯作者:
Maurer, Brett W.
DOI:
10.1061/(asce)gt.1943-5606.0002156
发表时间:
2019-11
影响因子:
3.9
作者:
R. Boulanger
通讯作者:
R. Boulanger
影响因子:
2.8
作者:
R. Peters;B. Jaffe;G. Gelfenbaum
通讯作者:
G. Gelfenbaum