| 英文摘要 |
The present investigations aims at devlop effective earthquake precursory model from the long term soil-gas data obtained from a network of soil-gas monitoring covering NW, SW and eastern Taiwan. As per the present practice, the data from various stations are examined synoptically to evaluate earthquake precursory signals against the backdrop of rainfall and other environmental factors. The present study is also aimed at the appraisal and filtrations of these environmental/meteorological parameters and to create real-time database for earthquake precursory study. In recent years manually operating real-time database had been developed and efforts were made to improve data processing system for earthquake precursory studies by changing the operating system from manual to automatical. We tried to replace the business package software 'Visual Signal' to an open source programming language 'R' for the data computing work. “R” is a free software programming language and software environment for statistical computing and graphics. To upgrade our working procedure to integrate our data with the popular and famous open source web application solution stack 'AMP'(Apache, MySQL, and PHP) has been used. |
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