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Local Magnitude Calibration of the Syrian National Digital Seismological Network

The Syrian National Seismological Network has been operational since January 1995. The network consists of 27 analog short‐period (1 Hz) stations (SS‐1 single‐ or three‐component stations). The spatial distribution of the network covers most of western and northeastern Syria and is designed to monitor all discernible earthquake activity along the Dead Sea fault system (DSFS) and its branches in Syria and nearby Lebanon. The stations were deployed at ∼50  km spacing in the western parts of Syria and at ∼100  km spacing in the northeastern region. As part of the national seismological network expansion project, up to 24 three‐component 1 Hz high‐dynamic range digital seismic stations have been deployed in Syria since 2008 and have been operational since December 2008. As recent analog seismic station locations are favorable for monitoring the seismicity of the fault system, stations of the digital network were installed in the same positions as the previous network stations, with the intention of moving these stations to new locations after completion of a detailed geographic and topographic survey. Seismic data collected from the digital network were analyzed with the aim of quantifying the size of local earthquakes in our dataset by accurately estimating local earthquake magnitude ( M L).

Local magnitude was the first magnitude scale to be developed in an attempt to describe the size of an earthquake, and the M L scale provides the best consistency and stability for local and regional distances. The M L scale was originally developed by Richter (1935) specifically for earthquakes in southern California. The large variability of velocity and attenuation structure of the Earth’s crust makes it impossible to develop a unique, internationally standardized calibration function for local events. Therefore, to assure consistency of the M L scale, it is necessary to calibrate it for any region and tectonic environment different from southern …