MINING SEISMIC THERMAL ANOMALIES FROM MASSIVE SATELLITE PASSIVE MICROWAVE IMAGES

This study developed a new seismic landslide hazard assessment method that synthesized the effects of earthquakes and rainfall on seismic landslide hazard, and method was then applied in Bomi, China for probabilistic seismic landslide hazard assessments. This research is important for the prevention and mitigation of seismic landslides in other mountainous regions threatened by strong earthquakes and heavy rainfall.

The atmospheric electric field (AEF) is the bridge connecting the surface charges and atmospheric particle changes before an earthquake, which is essential for the study of the coupling process between the coversphere and atmosphere caused by earthquakes. This study discovers AEF anomalies before the Luding earthquake in 2022 and clarifies the relationship between the surface changes and atmosphere changes possibly caused by the earthquake.

Multiple seismic anomalies were reported to be related to the 2015 Nepal earthquake. By sufficiently investigating both the space–time features and the physical models of the seismic anomalies, the coupling mechanisms of these anomalies in 3D space were revealed and an integrated framework to strictly root the sources of various anomalies was proposed. This study provides a practical solution for scrutinizing reliable seismic anomalies from diversified earthquake observations.