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http://dx.doi.org/10.3741/JKWRA.2020.53.7.507

Basic study on development of the radon measurement system in groundwater stations for the seismic monitoring and prediction  

Jang, Suk Hwan (Department of Civil Engineering, Daejin University)
Lee, Jae-Kyoung (Innovation Center for Engineering Education, Daejin University)
Lee, Sang Yoon (Tricomtek)
Oh, Kyung Doo (Military Academy)
Publication Information
Journal of Korea Water Resources Association / v.53, no.7, 2020 , pp. 507-519 More about this Journal
Abstract
This study developed the radon measurement system that can be used for crustal movement monitoring and seismic occurrence and prediction, and compared and analyzed the results of test-operated radon measurement system and observed seismic occurrence cases. First, the developed radon measurement system consists of an NB-IoT radon measurement device, data center, data analysis, and data supply server. Because the measured radon data can be remotely trasmitted by using NB-IoT, this system is very suitable for installation and operation in unmaaned groundwater station. Second, the developed radon measurement device was test-operated at two groundwater stations in Gimpo from May to July 2019. The measured radon data was compared with the groundwater-level and electrical conductivity measurement data, and it was confirmed that the radon measurement device developed in this study has some potential for commercialization. Finally, from November 2019 to February 2020, three observed seismic cases and daily measured radon, groundwater-level, electrical conductivity data by the NB-IoT radon measurement device installed at three groundwater stations in Pohang, which is a test-bed, were compared and analyzed. As a result of the analysis, it was confirmed that the seismic occurrence correlated with radon, groundwater level, and electrical conductivity and all of these measured data will be able to provide basic data to help in seismic monitoring and prediction in the future.
Keywords
Radon; NB-IoT; Seismic occurrence; Seismic prediction; Groundwater;
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Times Cited By KSCI : 2  (Citation Analysis)
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