Title: Microseismicity data forecast rupture area D' Schorlemmer
1Microseismicity data forecast rupture areaD.
Schorlemmer S. Wiemer (2005)
http//www.le0ne.com/photos/parkfield1_med.jpg
2Background papers
- S. Wiemer M. Wyss (1997) Mapping the
frequency-magnitude distribution in asperities
An improved technique to calculate recurrence
times? - D. Schorlemmer, S. Wiemer M. Wyss (2004)
Earthquake statistics at Parkfield 1.
Stationarity of b value
3b-values
- log10 N a - bM .
- N cumulative number of earthquakes of magnitude
M or greater - a earthquake productivity of a volume
- b relative size distribution of earthquakes
Wiemer Wyss (1997)
4Calculating b-values
- Along a vertical cross-section of the fault, the
seismicity is sampled using overlapping
cylindrical volumes of constant radius - Volumes have 1 km spacing
Wiemer Wyss (1997)
5Schorlemmer, Wiemer Wyss (2004)
6NCSN
HRSN
NCSN
Schorlemmer, Wiemer Wyss (2004)
7What do low b-values indicate?
- b-values are inversely related to stress (in
laboratory experiments) - Changes in b (both temporal and spatial) could
provide information about stress in the crust
(Wiemer Wyss 1997 and Schorlemmer, Wiemer
Wyss 2004) - b-values decrease as a function of depth at
Parkfield (Wiemer Wyss 1997) - Lowest b-value coincides with the Parkfield
asperity (below Middle Mountain)
8Probabilistic recurrence time
- Tr ?T / (10a-bM)
- Gives the probabilistic recurrence time for an
earthquake with magnitude greater than or equal
to a chosen M. - ?T length of recording period which produces
the a-value
9Annual probability for 1 events of M6
Constant b-value, varying a-values
Varying both a- and b-values
10Past predictions
- Major earthquakes in Parkfield are most likely to
nucleate in the Middle Mountain asperity, where
b-values are lowest. - Probabilistic recurrence time for the Middle
Mountain asperity - 23 (-12/18) years (WW, 1997)
- 30 years (S et al, 2004)
- These differ greatly from the 72 years and 116.6
years calculated over the entire Parkfield volume
(from both papers, respectively).
11Parkfield Mainshock, 2004
e) Cumulative slip distribution as a function of
b-value. The areas of low b-value contain 99 of
the slip. Areas of high b-value prevent rupture
propagation.
a) Topographic map with mapped b-values
c) Preliminary slip distribution for the 2004
mainshock
b) Microseismicity b-values from 1981 to 2004
d) 2004 aftershocks. Symbol size is proportional
to magnitude
f) Cumulative distribution of aftershocks. Low
b-value areas contain 95 of aftershocks.
12Main conclusion
- Evidence indicates that b-values could be used to
predict rupture areas.
13Although the timing of earthquakes remains
unpredictable, precise forecasting of the
location and size of events is becoming a
possibility.