The Changes of the Tidal Force and the Land Surface Temperature During the Indonesia Mw7.5 Earthquake
Session: Application of Remote Sensing and Space-Based Earth Observations Data in Earthquake Research [Poster]
Type: Poster
Date: 4/21/2021
Presentation Time: 11:30 AM Pacific
Description:
The variation of LST (Land Surface Temperature) before and after Indonesia Mw7.5 earthquake on September 28, 2018 was studied. The LST data come from NCEP (National Center for Environmental Prediction). The background value was needed in the temperature calculation method, and the specific date of background value was determined by the analyzation of the Tidal force. The Tidal force has a certain relationship with the occurrence of earthquakes. The Mw7.5 Indonesia earthquake occurred at the peak of the Tidal force. In order to detect the cloud covered situation in the study area, the meteorological cloud maps of China FY-2F were used during the study period. Moreover, the LST data of NCEP could reduce the influence of the cloud on the land surface temperature as much as possible, and the results also proved that the LST warming caused by earthquake was showed clearly even in the period with a lot of clouds. The warming law of LST before and after Indonesia Mw7.5 earthquake was temperature increasing slightly-enhance gradually-peak of the temperature (the earthquake occurred)-temperature attenuation-disappear; in addition, the LST warming region was mainly concentrated in the Sunda Land with abundant underground heat flow near the epicenter of Indonesia Mw7.5 earthquake. In all, this study provided a more method for the earthquake exploration.
Presenting Author: Xian Lu
Student Presenter: No
Authors
Xian Lu Presenting Author Corresponding Author luxian@radi.ac.cn China Earthquake Networks Center |
Qiong Huang hfqiong@seis.ac.cn China Earthquake Networks Center |
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The Changes of the Tidal Force and the Land Surface Temperature During the Indonesia Mw7.5 Earthquake
Category
Application of Remote Sensing and Space-based Earth Observations Data in Earthquake Research