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September 8, 2017 M8.1 near coast of Chiapas, Mexico earthquake
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Event parameters (from
These are preliminary results and are subject to change without notice. Please check the
page for the latest official information. USGS
USGS Event KML
USGS Executive summary page
UNAVCO Event highlights
Rapid moment tensor, shaking intensity and tsunami simulation
IRIS Special Events Archive
Event Based Products
KML] USGS ShakeMap
USGS] Ground acceleration spectrogram for the vertical component of SDDR
(Presa de Sabenta, Dominican Republic) from 28 August to 8 September 2017 ( UTC). Power
Spectral Density ( PSD; rel. 1 (m/s2)2/Hz) estimates were attained using the IRIS Noise Tool Kit
( NTK) using 2-hour windows with 50% overlap and 1/16th octave smoothing. The M 8.1 Mexico
earthquake along with a local (~100 km) M 4.3 event in Haiti, and a 4.5 in the northeast
Dominican Republic are noted. Two additional earthquakes (~M 4) located to the east of the
Dominican Republic can be seen as transient increases in power between ~1-5 Hz. Station
SDDR is located ~100 m from Sabana Yegua Dam and pump noise is quite prevalent at this
station. It appears the dam pumps are running continuously as Hurricane Irma passes the
Dominican Republic, likely in response to increased runoff into the reservoir.
[GEOSCOPE Observatory] Automatic determination of source parameters
using the SCARDEC method
[Afroz Shah, Universiti Brunei Darussalam] interpretation of event based on its fault plane
solution and the regional tectonics.
DMC Event Plots Product] Combined and aligned on origin 0.3 to 1.0 Hz BHZ
(click on image to access the EventPlots for Mww 8.0 NEAR COAST OF CHIAPAS, MEXICO).
Videos & Animations
[K. McLaughlin, Alexandria, VA] A Raspberryshake plot of the recording from my basement
corrected to a BB 0.01-2 Hz seismogram. Not bad for a 4.5 Hz geophone. It was an M8
[Gerald Payton, North Central Texas] Seismogram reading of Grandview, Texas station.
SAGE Facility Event Page
SAGE Facility event page for this event
contains links to additional tools and data.
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