Recognizing Reflected Tremor Phases: Guidance from Synthetic Seismograms Amanda Klaus ESS 522 –...
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Transcript of Recognizing Reflected Tremor Phases: Guidance from Synthetic Seismograms Amanda Klaus ESS 522 –...
Recognizing Reflected Tremor Phases: Guidance from Synthetic Seismograms
Amanda KlausESS 522 – Geophysical Data Analysis
Final ProjectJune 10, 2010
Outline
1. Background: Tremor– What it is– Where it happens
2. My tremor-related research3. Why care about tremor?4. My ESS 522 project– Synthetic seismograms– Data processing and seismogram analysis
Earthquake: July 15, 2004, 12:06, M 5.9 (Vancouver Island) - Station: YOUB
Tremor: July 25, 2004Station YOUB
BackgroundTremor: an emergent, low-amplitude seismic
signal, persistent in time and space
Where Tremor Happens: Map View
5 years of tremor location data(courtesy of Aaron Wech)
Cascadia subduction zone schematic(Source: pnsn.org, after Hyndman and
Wang 1995)
Where Tremor Happens: Depth
• Due to large uncertainties in vertical locations, tremor depth is unknown! Two possibilities:
Option 1: Tremor is distributed throughout the lower crust, and maybe the upper subducting slab. Tremor is likely caused by movement of fluids.
Option 2: Tremor is located at the interface between the continental and oceanic plates. Tremor is a manifestation of plates sliding past each other.
Tremor Depth: Why It Matters
1. If tremor is at the plate interface, tremor means plates are sliding
2. This sliding downdip of the locked zone increases stress in the locked zone
3. Locked zone ruptures in megathrust earthquakes after enough stress builds up
My research
• Look for signal of tremor bouncing off the Moho (seismic velocity discontinuity)
• Hope to see consistent delay times that indicate bouncing off of an interface ca. 7 km below
sourceMoho
ESS 522 Project
Part 1: Generation of synthetic seismograms
• Goal: investigate feasibility of seeing bounces of low-amplitude seismic energy off of the Moho
Synthetics - Method
• Did a literature search for best estimates of seismic velocities and densities
• Assembled these into a simple 1D model of flat, horizontally infinite layers, over a half-space representing the upper mantle
• Used Lu-pei Zhu’s FK code for generating synthetics– Earthquake source parameters: 7° dip, reverse
fault, magnitude 2
Input Model• Simple 1D velocity model (no dipping layers)• Source: M 2 earthquake – dip 7° east - thrust fault.
Source is at 29.99 km depth, just above interface.
Project Part 2: Data Processing
Many things to consider:• Filtering: what frequencies are we concerned
with?• Instrument response and how it affects data– Not included today
• Signal-to-noise ratio– Tremor data: very low signal-to-noise ratio
We’ll look at some of these things in the demo…
Demonstration
• Step 1: load data • Step 2: plot data: plotFKjdf( eastVert, 0 )
Demonstration
• Use reduced time to shift seismograms:plotFKjdf(eastVert, 6)
Demonstration: Adding Noise
Data_out = addrand(data_in, noise_amp)Noise_amp is % of largest data point – default is
10%
With noise added…
Filtering & Effect on Noise
Use command coralFilter coralFilter(data, cutoff_freq, type, order, phase)
Filtering Example
4th Order Butterworth Filter 16th Order Butterworth Filter
An illustration of stacking
• 10 copies of the same seismogram, with different random noise added to each
Vertical channel – station east of source, 40 km away
Noisy data, stacked
Analogous for stacking arrays
5 miles