机构地区:[1]Deformation Survey Center, Yunnan Earthquake Agency, Kunming 650041, China [2]School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China [3]Key Laboratory of Environment and Geodesy, Ministry of Education, Wuhan 430079, China
出 处:《Journal of Earth Science》2018年第1期230-236,共7页地球科学学刊(英文版)
基 金:supported by the National 973 Project of China (No. 2013CB733303);the National Natural Science Foundation of China (No. 41474093);the Key Natural Science Foundation of Hubei Province (No. 2014CFA110);the open fund of Key Laboratory of Geospace Environment and Geodesy, Ministry of Education (No. 15-02-07);the China Earthquake Administration’s Earthquake Science and Technology Spark Program (No. XH15037SX);Special fund of earthquake science and technology of Yunnan Earthquake Agency (No. 2017ZX02);the Jiancheng Li Academician Workstation (No. 2015IC015)
摘 要:This paper presents a comprehensive area expansion prediction index method to apply GNSS for short-impending prediction of earthquakes. Based on continuous GNSS observation data from Yunnan Province, a displacement field was detected after data cycle-slip repair using precision data processing software and geophysical field effect model correction. The Yunnan area was divided into 56 grid cells for displacement field interpolation to obtain a more uniform displacement field and a strain field variation time series. The pre-earthquake response of each grid-cell expansion time series was evaluated and synthesized to extract a short-impending earthquake anomaly identification index. The results show that this index indicated occurrence times and hypocenter for earthquakes of magnitude M≥5. Fourteen earthquakes were predicted accurately, and there were five false reports. This index can therefore be used for the short-impending prediction of earthquakes.This paper presents a comprehensive area expansion prediction index method to apply GNSS for short-impending prediction of earthquakes. Based on continuous GNSS observation data from Yunnan Province, a displacement field was detected after data cycle-slip repair using precision data processing software and geophysical field effect model correction. The Yunnan area was divided into 56 grid cells for displacement field interpolation to obtain a more uniform displacement field and a strain field variation time series. The pre-earthquake response of each grid-cell expansion time series was evaluated and synthesized to extract a short-impending earthquake anomaly identification index. The results show that this index indicated occurrence times and hypocenter for earthquakes of magnitude M≥5. Fourteen earthquakes were predicted accurately, and there were five false reports. This index can therefore be used for the short-impending prediction of earthquakes.
关 键 词:GNSS short-impending earthquake prediction strain anomaly index southwestern China.
分 类 号:P2[天文地球—测绘科学与技术]
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