Using geoelectric field skewness and kurtosis to forecast the 2016/2/6, ML 6.6 Meinong, Taiwan earthquake

Hong Jia Chen, Chien Chih Chen, Guy Ouillon, Didier Sornette

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

The earthquake-alarm model developed by Chen and Chen [Nat. Hazards, 2016] is investigated to validate its forecasting performance for the 2016/2/6, ML6.6 Meinong, Taiwan earthquake. This alarm model is based on geoelectric field skewness and kurtosis anomalies. The model parameters, such as the detection range and predicted time window, allow us to estimate the empirical relationships between geoelectric anomalies and large earthquakes. As a result, the skewness and kurtosis anomalies are shown to appear before the Meinong earthquake on the four neighboring stations (LIOQ, WANL, KAOH, and CHCH). According to the model analysis a time lag exists between anomaly clusters and earthquakes, depending on local geological features, as well as the durations over which anomalies are continuously observed, which might also display time dependence. In conclusion, this alarm model is able to correlate earthquakes and geoelectrical anomalies, with promising usefulness in forecasting large earthquakes.

Original languageEnglish
Pages (from-to)745-761
Number of pages17
JournalTerrestrial, Atmospheric and Oceanic Sciences
Volume28
Issue number5
DOIs
StatePublished - Oct 2017

Keywords

  • Binary classification
  • Earthquake precursors
  • Geoelectric field
  • Kurtosis
  • Skewness

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