Econ. Environ. Geol. 2017; 50(5): 401-414
Published online October 31, 2017
https://doi.org/10.9719/EEG.2017.50.5.401
© THE KOREAN SOCIETY OF ECONOMIC AND ENVIRONMENTAL GEOLOGY
Correspondence to : ncwoo@yonsei.ac.kr
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided original work is properly cited.
To prevent the damages from earthquakes, various researches have been conducted around the world focusing on earthquake prediction and forecasting for several decades. Among various precursory phenomena, changes in groundwater level and quality are considered to be reliable for estimating the time of earthquake occurrence and its magnitude. In effects, some countries impacted by frequent earthquakes have established and operated the groundwater monitoring network for earthquake surveillance and prediction. In Korea, recently researches have begun for using groundwater monitoring techniques for earthquake prediction. In this paper, the groundwater monitoring networks of China, Japan, and the United States were reviewed focusing on the facilities and results of researches to deduce the tasks for earthquake prediction researches using groundwater monitoring techniques in Korea. In results, research needs are suggested in the implementation of groundwater monitoring networks for specifically earthquake surveillance with the real-time monitoring and the measures to quantify the degrees of abnormal changes in the relationship of distance from the earthquake epicenter.
Keywords Earthquake, earthquake surveillance, earthquake prediction, groundwater monitoring, precursory changes
이현아1 ·함세영2 ·우남칠1,3*
1연세대학교 지구시스템과학연구소, 2부산대학교 지질환경과학과, 3연세대학교 지구시스템과학과
Econ. Environ. Geol. 2017; 50(5): 401-414
Published online October 31, 2017 https://doi.org/10.9719/EEG.2017.50.5.401
Copyright © THE KOREAN SOCIETY OF ECONOMIC AND ENVIRONMENTAL GEOLOGY.
Hyun A Lee1, Se-Yeong Hamm2 and Nam C. Woo1,3*
1Earth System Sciences Research Center, Yonsei University
2Dept. of Geological Sciences, Pusan National University
3Dept. of Earth System Sciences, Yonsei University
Correspondence to:ncwoo@yonsei.ac.kr
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided original work is properly cited.
To prevent the damages from earthquakes, various researches have been conducted around the world focusing on earthquake prediction and forecasting for several decades. Among various precursory phenomena, changes in groundwater level and quality are considered to be reliable for estimating the time of earthquake occurrence and its magnitude. In effects, some countries impacted by frequent earthquakes have established and operated the groundwater monitoring network for earthquake surveillance and prediction. In Korea, recently researches have begun for using groundwater monitoring techniques for earthquake prediction. In this paper, the groundwater monitoring networks of China, Japan, and the United States were reviewed focusing on the facilities and results of researches to deduce the tasks for earthquake prediction researches using groundwater monitoring techniques in Korea. In results, research needs are suggested in the implementation of groundwater monitoring networks for specifically earthquake surveillance with the real-time monitoring and the measures to quantify the degrees of abnormal changes in the relationship of distance from the earthquake epicenter.
Keywords Earthquake, earthquake surveillance, earthquake prediction, groundwater monitoring, precursory changes
이현아1 ·함세영2 ·우남칠1,3*
1연세대학교 지구시스템과학연구소, 2부산대학교 지질환경과학과, 3연세대학교 지구시스템과학과
Seong-Yong Kim
Econ. Environ. Geol. 2021; 54(1): 127-136Hyun A Lee, Se-Yeong Hamm and Nam C. Woo
Econ. Environ. Geol. 2018; 51(4): 393-400