TY - JOUR
T1 - Using geoelectric field skewness and kurtosis to forecast the 2016/2/6, ML 6.6 Meinong, Taiwan earthquake
AU - Chen, Hong Jia
AU - Chen, Chien Chih
AU - Ouillon, Guy
AU - Sornette, Didier
N1 - Funding Information:
give alarms and identify an earthquake with ML≥5, but they This work is also partially supported by the SCOR Corpo-002 from the Ministry of Science and Technology (ROC). cannot identify the Meinong earthquake within their detec-r tion ranges. They share the common parameter Dep=10, but tion under the ETH Zurich Foundation pproject # 2016-30 rate Foundation for Science and the ETH Zurich Foundat- the depth of the Meinong earthquake is 14.64 km. In Fig. i 8 we found that the retrained TP performances =0.39 and (Global earthquake forecast system). We thank the Two c
PY - 2017/10
Y1 - 2017/10
N2 - 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.
AB - 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.
KW - Binary classification
KW - Earthquake precursors
KW - Geoelectric field
KW - Kurtosis
KW - Skewness
UR - http://www.scopus.com/inward/record.url?scp=85027831066&partnerID=8YFLogxK
U2 - 10.3319/TAO.2016.11.01.01
DO - 10.3319/TAO.2016.11.01.01
M3 - 期刊論文
AN - SCOPUS:85027831066
SN - 1017-0839
VL - 28
SP - 745
EP - 761
JO - Terrestrial, Atmospheric and Oceanic Sciences
JF - Terrestrial, Atmospheric and Oceanic Sciences
IS - 5
ER -