英文摘要 |
The present investigations aim at developing an effective earthquake precursory system from the long term soil-gas data obtained from a network of soil-gas monitoring stations covering NW, SW and eastern Taiwan. As per the present practice, the data from various stations are examined synoptically to evaluate earthquake precursory studies. The present study is also aimed at the appraisal and filtrations of these environmental/meteorological parameters and to create an automated real-time database for earthquake precursory study. During the observation period of 2015, about 34 earthquakes of magnitude ≥ 5 were recorded and out of these, 16 earthquakes fell under the defined selection criteria and were tested in the proposed model. From all the monitoring station data it has been found that Jaosi monitoring station has recorded the maximum number of earthquakes whereas Hsincheng monitoring station has highest efficiency. It has also been found that 3 earthquakes lie in the common influence area of all the monitoring stations. Out of these, 2 earthquakes happened to have precursory signals which can be correlated with the occurred earthquake whereas one earthquake has shown precursory signals at HC and HH monitoring stations. |