The surface latent heat flux anomalies related to major earthquake

Feng Jing; Xuhui Shen; Chunli Kang; Pan Xiong; Shunying Hong

doi:10.1117/12.898845

23 November 2011 The surface latent heat flux anomalies related to major earthquake

Feng Jing, Xuhui Shen, Chunli Kang, Pan Xiong, Shunying Hong

Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 80061N (2011) https://doi.org/10.1117/12.898845
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

SLHF (Surface Latent Heat Flux) is an atmospheric parameter, which can describe the heat released by phase changes and dependent on meteorological parameters such as surface temperature, relative humidity, wind speed etc. There is a sharp difference between the ocean surface and the land surface. Recently, many studies related to the SLHF anomalies prior to earthquakes have been developed. It has been shown that the energy exchange enhanced between coastal surface and atmosphere prior to earthquakes can increase the rate of the water-heat exchange, which will lead to an obviously increases in SLHF. In this paper, two earthquakes in 2010 (Haiti earthquake and southwest of Sumatra in Indonesia earthquake) have been analyzed using SLHF data by STD (standard deviation) threshold method. It is shows that the SLHF anomaly may occur in interpolate earthquakes or intraplate earthquakes and coastal earthquakes or island earthquakes. And the SLHF anomalies usually appear 5-6 days prior to an earthquake, then disappear quickly after the event. The process of anomaly evolution to a certain extent reflects a dynamic energy change process about earthquake preparation, that is, weak-strong-weak-disappeared.

Citation Download Citation

Feng Jing, Xuhui Shen, Chunli Kang, Pan Xiong, and Shunying Hong "The surface latent heat flux anomalies related to major earthquake", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80061N (23 November 2011); https://doi.org/10.1117/12.898845

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