Investigating thermal anomalies using the Land Surface Temperature of as a precursor in large earthquakes in Iran: a case study: November ۱۲ Kermanshah earthquake (۲۰۱۶, magnitude ۷.۳)

Earthquake prediction is very important to reduce its damages, especially in earthquake-prone countries like Iran. In this regard, some scientific activities have been carried out in recent years, including LST prediction. Pre-earthquake stresses in tectonically active regions can increase the near-surface temperature of the region. Such changes detected through thermal remote sensing can provide important clues about future earthquakes. In this study, thermal radiation characteristics observed before and after several large earthquakes using infrared remote sensing data are presented. In these earthquakes, it can be seen that there was a temporary and short-term increase in the land surface temperature (LST) in the areas around the epicenter. Based on the analysis of earthquakes, the results show that: ۱- There are significant thermal radiation anomalies before and after earthquakes for most cases ۲- The general performance of anomalies includes two main stages: first expansion and then reduction ۳- characteristic periods and there are evident and different amounts of abnormal thermal radiation for each case. ۴- Abnormalities of thermal radiation are closely related to the geological structure. ۶- Thermal radiation has clear abnormal characteristics over time. In these studied earthquakes, the thermal anomalies disappeared along with the earthquake event. Emissions of greenhouse gases from rocks due to pressure induced before earthquakes can create a local greenhouse effect. Charge carriers in rocks can be free electrons, which are separated under high pressure. When they recombine to achieve electron stability, they release heat, which can increase the LST of the region.

کلیدواژه ها:

Thermal Anomaly ، Earthquake Prediction ، MODIS ، Land Surface Temperature (LST) ، Remote Sensing