Real-time database for geochemical earthquake precursory research

Arvind Kumar, Vivek Walia (), Shih-Jung Lin and Ching-Chou Fu
Additional contact information
Arvind Kumar: National Applied Research Laboratories
Vivek Walia: National Applied Research Laboratories
Shih-Jung Lin: National Applied Research Laboratories
Ching-Chou Fu: Academia Sinica

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2020, vol. 104, issue 2, No 11, 1359-1369

Abstract: Abstract In the present research for the first time, an effort has been made to create an online real-time database for geochemical earthquake precursory research. The manually operating real-time database has been improved for earthquake precursory studies by changing the operating system from manual to automatic. We have used an open-source programming languages "R" and python for the data computing. Both are free programming languages software 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. In this real-time database, continuous radon data from our monitoring stations, whereas, seismic and metrological data from Central Weather Bureau have been uploaded. It enables us to see the changes in the radon time series before and after the seismic events. Now, we could analyze the data in better ways before the seismic events using mathematical tools. This system would be very helpful in increasing the efficiency of earthquake prediction studies. It is also useful to have a better understanding of the physical processes involved in the more advanced statistical tools that allow the prognostic of earthquakes by the use of the data from a network of continuous monitoring stations.

Keywords: Real-time database; Earthquake; Precursor; Monitoring station; Radon; Taiwan (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s11069-020-04220-4

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