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Different temporal and special multi-parameters of infrared remote
sensing anomalies of the Yushu earthquake, including the Outgoing
Longwave Radiation (OLR), the Land Surface Temperature (LST) and
surface temperature from the National Center for Environmental
Prediction (NCEP) were studied in this paper. All results confirmed
previous observation...
Context in source publication
Context 1
... could more comprehensively and accurately reflect the actual temperature conditions under action of multiple factors by assimilating this data. Twelve days of data from 4 to 15 April was calculated by the dif- ference calculation method, which was the value minus the average value of the same days in the past ten years. The result is shown in Fig. ...
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Citations
... To investigate preseismic thermal infrared and ionospheric disturbances, various studies have developed anomaly extraction methods, performed thermodynamic tests, and suggested LAIC mechanisms and propagation models [36][37][38]. The simultaneous study of pre-and postseismic TIR and TEC anomalies would allow us more objectively understand the propagation of seismic electromagnetic radiation in LAIC. ...
Taking the 2017 Mw6.5 Jiuzhaigou earthquake as a case study, ionospheric disturbances (i.e., total electron content and TEC) and thermal infrared (TIR) anomalies were simultaneously investigated. The characteristics of the temperature of brightness blackbody (TBB), medium-wave infrared brightness (MIB), and outgoing longwave radiation (OLR) were extracted and compared with the characteristics of ionospheric TEC. We observed different relationships among the three types of TIR radiation according to seismic or aseismic conditions. A wide range of positive TEC anomalies occurred southern to the epicenter. The area to the south of the Huarong mountain fracture, which contained the maximum TEC anomaly amplitudes, overlapped one of the regions with notable TIR anomalies. We observed three stages of increasing TIR radiation, with ionospheric TEC anomalies appearing after each stage, for the first time. There was also high spatial correspondence between both TIR and TEC anomalies and the regional geological structure. Together with the time series data, these results suggest that TEC anomaly genesis might be related to increasing TIR.
The catastrophic damages caused by the Jiuzhaigou earthquake in China of August 8, 2017 and the Mexico earthquake of September 20, 2017 have revealed some important weaknesses of currently operational earthquake-monitoring and forecasting systems. In this work, six time series forecasting models were applied to detect pre-earthquake anomalies within infrared outgoing longwave radiation. After comparing their prediction results using non-seismic time series data, the autoregressive integrated moving average (ARIMA) model was selected as the optimal model, and then a new prediction method based on this ARIMA model was proposed. The results show that the values observed on July 27 and August 5 before the Jiuzhaigou earthquake in China exceed the confidence interval for prediction and reaches the maximum on August 5, 2017. This indicates the infrared outgoing longwave radiation (IR-OLR) anomalies before the Jiuzhaigou earthquake in China. For the Mexico earthquake, pre-earthquake IR-OLR anomalies are detected on September 14, 18, and 19, and reaches the maximum on September 14, 2017. This demonstrates that the proposed time series forecasting model based on ARIMA could be an effective method for earthquake anomalies detection within infrared outgoing longwave radiation.
