The 2002 M5 Au Sable Forks, NY, earthquake sequence: Source scaling relationships and energy budget

2010 ◽  
Vol 115 (B7) ◽  
Author(s):  
Gisela Viegas ◽  
Rachel E. Abercrombie ◽  
Won-Young Kim
Keyword(s):  
Energy Budget ◽  
Earthquake Sequence ◽  
Scaling Relationships ◽  
Source Scaling

The 2010 Beni-Ilmane, Algeria, earthquake sequence: statistical analysis, source parameters, and scaling relationships

2018 ◽  
Vol 23 (1) ◽  
pp. 181-193
Author(s):  
Issam Abacha ◽  
Oualid Boulahia ◽  
Abdelkarim Yelles-Chaouche ◽  
Fethi Semmane ◽  
Hamoud Beldjoudi ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Source Parameters ◽  
Earthquake Sequence ◽  
Scaling Relationships

scholarly journals Temperature tolerance and energetics: a dynamic energy budget-based comparison of North Atlantic marine species

2010 ◽  
Vol 365 (1557) ◽  
pp. 3553-3565 ◽  
Author(s):  
Vânia Freitas ◽  
Joana F. M. F. Cardoso ◽  
Konstadia Lika ◽  
Myron A. Peck ◽  
Joana Campos ◽  
...  
Keyword(s):  
Body Size ◽  
Energy Budget ◽  
North Atlantic ◽  
Marine Species ◽  
Temperature Tolerance ◽  
Life History Strategies ◽  
Dynamic Energy Budget ◽  
Scaling Relationships ◽  
Size Scaling ◽  
Pseudo Data

Temperature tolerance and sensitivity were examined for some North Atlantic marine species and linked to their energetics in terms of species-specific parameters described by dynamic energy budget (DEB) theory. There was a general lack of basic information on temperature tolerance and sensitivity for many species. Available data indicated that the ranges in tolerable temperatures were positively related to optimal growth temperatures. However, no clear relationships with temperature sensitivity were established and no clear differences between pelagic and demersal species were observed. The analysis was complicated by the fact that for pelagic species, experimental data were completely absent and even for well-studied species, information was incomplete and sometimes contradictory. Nevertheless, differences in life-history strategies were clearly reflected in parameter differences between related species. Two approaches were used in the estimation of DEB parameters: one based on the assumption that reserve hardly contributes to physical volume; the other does not make this assumption, but relies on body-size scaling relationships, using parameter values of a generalized animal as pseudo-data. Temperature tolerance and sensitivity seemed to be linked with the energetics of a species. In terms of growth, relatively high temperature optima, sensitivity and/or tolerance were related to lower relative assimilation rates as well as lower maintenance costs. Making the step from limited observations to underlying mechanisms is complicated and extrapolations should be carefully interpreted. Special attention should be devoted to the estimation of parameters using body-size scaling relationships predicted by the DEB theory.

scholarly journals Stress-Drop and Source Scaling of the 2019 Ridgecrest, California, Earthquake Sequence

2020 ◽  
Vol 110 (4) ◽  
pp. 1859-1871 ◽  
Author(s):  
Daniel T. Trugman
Keyword(s):  
Stress Drop ◽  
Aftershock Sequence ◽  
P Wave ◽  
Earthquake Sequence ◽  
Study Region ◽  
Decomposition Approach ◽  
Trade Offs ◽  
Stress Changes ◽  
Source Scaling ◽  
Stress Drops

ABSTRACT Stress drop, while difficult to measure reliably and at scale, is a key source parameter for understanding the earthquake rupture process and its relationship to strong ground motion. Here, we use a P-wave spectral decomposition approach, designed for large and densely sampled datasets, to measure earthquake stress drop in the region surrounding the 2019 Ridgecrest, California, earthquake sequence. With more than 11,000 measurements of earthquake stress drop in the 20-yr time period from 2000 through 2019, this dataset provides an opportunity to understand how coseismic stress changes and how other geophysical factors relate to the distribution of stress drop and its evolution in space and time. We observe a mild but persistent deviation from self-similar scaling, with larger events having systematically higher stress drops, though this trend depends on the assumption of an omega-square source spectral model. Earthquake stress drop increases with hypocentral depth in this study region, and the Ridgecrest aftershocks tend to have higher stress drops than the pre-event seismicity. This is in part due to their deeper hypocenters. Coherent spatial patterns of stress drop in the aftershock sequence correlate with the slip distribution of the M 7.1 mainshock, whose northwest rupture tip terminated in a long-lived zone of enervated stress drop. Although physical interpretation of these results is complicated by the trade-offs between the timing, depth, and location of these earthquakes, the observations provide new insight into the physics of the earthquake source in an area of renewed seismic activity in southern California.

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