Source Parameters and Scaling Relations of Local Earthquakes from a Strong Motion Network in Izmir, Western Turkey

2019 ◽  
Vol 176 (8) ◽  
pp. 3391-3409
Author(s):  
Elcin Gok
Keyword(s):  
Source Parameters ◽  
Strong Motion ◽  
Scaling Relations ◽  
Western Turkey ◽  
Local Earthquakes ◽  
Strong Motion Network

Microtremor exploration for shallow S-wave velocity profiles at stations in local strong motion network in Bursa, Yalova, and Kocaeli in north-western Turkey

2017 ◽  
Vol 48 (3) ◽  
pp. 255-263 ◽  
Author(s):  
Özgür Tuna Özmen ◽  
Hiroaki Yamanaka ◽  
Kosuke Chimoto ◽  
Ulubey Çeken ◽  
Mehmet Akif Alkan ◽  
...  
Keyword(s):  
Wave Velocity ◽  
Strong Motion ◽  
Velocity Profiles ◽  
S Wave ◽  
Western Turkey ◽  
Strong Motion Network ◽  
North Western

Source parameters and focal mechanisms of local earthquakes: Single broadband observatory at ISM Dhanbad

2009 ◽  
Vol 74 (3) ◽  
pp. 413-419 ◽  
Author(s):  
J. R. Kayal ◽  
V. K. Srivastava ◽  
S. N. Bhattacharya ◽  
P. K. Khan ◽  
Rima Chatterjee
Keyword(s):  
Source Parameters ◽  
Focal Mechanisms ◽  
Local Earthquakes

TREMOR: A Wireless MEMS Accelerograph for Dense Arrays

2005 ◽  
Vol 21 (1) ◽  
pp. 91-124 ◽  
Author(s):  
John R. Evans ◽  
Robert H. Hamstra ◽  
Christoph Kündig ◽  
Patrick Camina ◽  
John A. Rogers
Keyword(s):  
Spatial Resolution ◽  
Dynamic Range ◽  
Strong Motion ◽  
The United States ◽  
Companion Paper ◽  
Low Noise ◽  
Practical Reasons ◽  
Wireless Internet ◽  
Urban Centers ◽  
Strong Motion Network

The ability of a strong-motion network to resolve wavefields can be described on three axes: frequency, amplitude, and space. While the need for spatial resolution is apparent, for practical reasons that axis is often neglected. TREMOR is a MEMS-based accelerograph using wireless Internet to minimize lifecycle cost. TREMOR instruments can economically augment traditional ones, residing between them to improve spatial resolution. The TREMOR instrument described here has dynamic range of 96 dB between ±2 g, or 102 dB between ±4 g. It is linear to <1% of full scale (FS), with a response function effectively shaped electronically. We developed an economical, very low noise, accurate (<1%FS) temperature compensation method. Displacement is easily recovered to 10-cm accuracy at full bandwidth, and better with care. We deployed prototype instruments in Oakland, California, beginning in 1998, with 13 now at mean spacing of ∼3 km—one of the most densely instrumented urban centers in the United States. This array is among the quickest in returning (PGA, PGV, Sa) vectors to ShakeMap, ∼75 to 100 s. Some 13 events have been recorded. A ShakeMap and an example of spatial variability are shown. Extensive tests of the prototypes for a commercial instrument are described here and in a companion paper.

i1-net: The Iran Strong Motion Network

2021 ◽  
Author(s):  
Mohammad Pourmohammad Shahvar ◽  
Esmaeil Farzanegan ◽  
Attiyeh Eshaghi ◽  
Hossein Mirzaei
Keyword(s):  
Earthquake Engineering ◽  
Strong Motion ◽  
Current Status ◽  
Primary Input ◽  
The Road ◽  
Leading Position ◽  
Hazard And Risk ◽  
Ground Motion Records ◽  
Strong Motion Network ◽  
Strong Ground

Abstract Strong ground-motion records are the primary input data in earthquake engineering studies to improve understanding of seismic hazard and risk. As the overseer of the Iran Strong Motion Network (i1-net), the Road, Housing, and Urban Development Research Center occupies the leading position in this field in the country. With more than 1260 active accelerometers and a collection of over 14,129 earthquake recordings since 1973, the Iran Strong Motion Network is the major Iranian source of information for engineering seismology and earthquake engineering. The present article describes the current status and developments of the i1-net in the last 46 yr.

scholarly journals RAIS: a real time strong-motion network in northern Italy

2011 ◽  
Vol 54 (1) ◽  
Author(s):  
Paolo Augliera ◽  
Marco Massa ◽  
Ezio D'Alema ◽  
Simone Marzorati
Keyword(s):  
Real Time ◽  
Strong Motion ◽  
Northern Italy ◽  
Strong Motion Network
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