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Additional Microwave Radiation From Experimentally Loaded Granite Covered With Sand Layers: Features and Mechanisms.

Authors :
Mao, Wenfei
Wu, Lixin
Liu, Shanjun
Gao, Xiang
Huang, Jianwei
Xu, Zhongyin
Qi, Yuan
Source :
IEEE Transactions on Geoscience & Remote Sensing; Jul2020, Vol. 58 Issue 7, p5008-5022, 15p
Publication Year :
2020

Abstract

The additional microwave radiation from underground rock mass (lithosphere) that is caused by tectonic activity and alternating crustal stress has been shown to be a detectable electromagnetic signal via satellite remote sensing. However, the emission of microwave radiation produced inside the lithosphere will be affected by its overburden matter, such as sand, soil, water, and vegetation, and this effect is unknown. In this article, we use a C-band microwave radiometer to detect the variations in the microwave brightness temperature ($T_{B}$) of rock samples in the process of axial loading. For the rock samples, the surface was bare and covered with dry sand or humid sand. The experimental detection illustrates that the dry sand unexpectedly allows more stress-associated additional radiation ($\Delta T_{B}$) to be received by the radiometer, while humid sand shows significant extinction of $\Delta T_{B}$. Both the radiative transfer theory and the stress-activated positive hole hypothesis are applied to interpret the mechanisms of the effect of dry and humid sand layers on $\Delta T_{B}$. The outflow of stress-activated positive holes is from inside the loaded rock, and hence their accumulation beneath the surface of the sand layer is expected to reduce the local dielectric permittivity of sand, thereby making the detected $\Delta T_{B}$ by the microwave radiometer to be larger than that extrapolated theoretically in accordance with radiative transfer theory. This article is valuable for understanding the diverse $T_{B}$ anomalies that have been observed prior to tectonic earthquakes, and it facilitates the evaluation of the potential application of $\Delta T_{B}$ to seismic monitoring and earthquake prediction. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01962892
Volume :
58
Issue :
7
Database :
Complementary Index
Journal :
IEEE Transactions on Geoscience & Remote Sensing
Publication Type :
Academic Journal
Accession number :
144948244
Full Text :
https://doi.org/10.1109/TGRS.2020.2971465