Research on the Applicability of Data Processing Based on Real-Time Intelligent Seismic Processing System in Inner Mongolia
摘要
The research objects for evaluating the reliability of the real-time intelligent seismic processing system (RISP) in the Inner Mongolia seismic network were 31 earthquake events that occurred in the region within 30 days before and after the Helingeer ML 4.5 earthquake on March 30, 2020. The manual cataloging was compared to the output results of the real-time intelligent seismic processing system (automatic catalog). It was observed that the number of events identified by the RISP system was approximately 2.5 times that of the manual ones, with 30 automatic catalogs matching the manual catalogs (31). The event recall rate was as high as 96.8%. The automatic catalog had a small deviation from the manual catalog in terms of earthquake occurrence time, epicenter location, magnitude, and P-wave and S-wave phase arrival time. When the results of the automatic and manual catalogs are compared, it is evident that the cataloging of the same events in both catalogs is consistent, with the earthquake occurrence time and epicenter deviation usually settling within ±2 s and ± 10 km, respectively. The automatic catalog meets the error range requirements of the manual catalog. The Real-time Intelligent Seismic Processing System (RISP) produces data that meets expected goals and supports scientific research, such as rapid aftershock sequence production and earthquake swarm trend judgment post-earthquake.