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Proceedings Paper

Experimental study on infrared anomaly of tectonic earthquake
Author(s): Lixin Wu; Shanjun Liu; Wenzhong Shi; Yuhua Wu; Yongqiang Li
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Paper Abstract

Many scientists believe that the earthquake cannot be predicted. But, the fact that there were positive infrared (IR) anomalies in satellite remote sensing images 15 - 60 days before some moderate-strong tectonic earthquakes in Asia is changing the situation. To reveal the mechanism and to seek for the spatio-temporal laws of IR anomaly evaluation before tectonic earthquakes, a series of fundamental experiments detecting the surface IR radiation images on loaded rock samples, which were designed to model the incubation of tectonic earthquakes, were conducted. This article introduced the spatio-temporal evaluation laws of IR anomaly from rock surface for the condition of compressively sheared rock, bi-axial loaded en echelon faults, compressively-sheared sliding faults and compressively loaded intersected faults, respectively simulating the four gestation mechanisms of tectonic earthquake. The experiments concluded that the tectonic earthquake is predictable, and the satellite IR remote sensing is a prospecting technique for earthquake prediction, especially in the condition that remote sensing is assisted with analyzing to rock properties of regional crust and locations of active faults.

Paper Details

Date Published: 13 February 2004
PDF: 12 pages
Proc. SPIE 5239, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III, (13 February 2004); doi: 10.1117/12.511625
Show Author Affiliations
Lixin Wu, China Univ. of Mining and Technology (China)
Hong Kong Polytechnic Univ. (Hong Kong China)
Institute of Rock and Soil Mechanics (China)
Shanjun Liu, China Univ. of Mining and Technology (China)
Wenzhong Shi, Hong Kong Polytechnic Univ. (Hong Kong China)
Yuhua Wu, China Univ. of Mining and Technology (China)
Yongqiang Li, China Univ. of Mining and Technology (China)


Published in SPIE Proceedings Vol. 5239:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III
Manfred Ehlers; Hermann J. Kaufmann; Ulrich Michel, Editor(s)

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