Real-time database for geochemical earthquake precursory research
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Real‑time database for geochemical earthquake precursory research Arvind Kumar1 · Vivek Walia1 · Shih‑Jung Lin1 · Ching‑Chou Fu2 Received: 18 May 2020 / Accepted: 1 August 2020 © Springer Nature B.V. 2020
Abstract In the present research for the first time, an effort has been made to create an online realtime 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
1 Introduction Risks and losses related to earthquake disasters in the world are of high policy and citizen concern. Therefore, public and decision makers are interested in information about the time/location of future events. Emergency Events Database (EM-DAT) has reported 315 natural disaster events recorded with 11,804 deaths in the year 2018, which affected over 68 million people and US$131.7 billion in economic losses across the world. Earthquakes * Vivek Walia [email protected]; [email protected] 1
National Centre for Research on Earthquake Engineering, National Applied Research Laboratories, Taipei, Taiwan
2
Institute of Earth Sciences, Academia Sinica, Taipei, Taiwan
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Natural Hazards
are the deadliest type of natural disaster accounting for 45% of deaths, followed by flooding at 24%. Developing earthquake early alarm system that could provide information of the size, location, and timing of large earthquakes before it could happen will help countries, cities and individuals to prepare for and respond to these devastating events. Hydrogeological and geochemical parameters have been considered in the past 50 years for researches oriented to earthquake prediction (Hartmann and Levy 2005; Perez et al. 2008; Robert et al. 2009; Walia et al. 2009a, b; Matsumoto and Koizumi 2011; Martinelli 2015; Fu et al. 2017). Considered parameters include wate
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