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MECHANISMS AND RELATIONSHIP TO SOIL MOISTURE OF SURFACE LATENT HEAT FLUX ANOMALY BEFORE INLAND EARTHQUAKES
Author(s)
Type
Conference paper
Language
English
Obiettivo Specifico
1.10. TTC - Telerilevamento
3.1. Fisica dei terremoti
Status
Published
Issued date
July 22, 2012
Conference Location
Munich, Germany
Publisher
IEEE
Abstract
The anomaly of SLHF, which is a key component of the Earth's energy balance and represents the heat flux from the Earth's surface to the atmosphere associated with evaporation or transpiration of water on the surface and subsequent condensation of water vapor in the troposphere, has been widely reported as a possible earthquake
precursor. The causes are generally attributed to the increase in infrared thermal (IR) temperature and the air
ionization produced by increased emanation of radon from the Earth's crust. In this paper, the theoretical analysis and case study show that there is close relationship between soil moisture and SLHF anomalies. For inland earthquakes, the increase of soil moisture due to the rising of groundwater level will bring with higher potential
evaporation, leading to the increase of latent heat flux. Further study with more accurate soil moisture product after
the new satellite mission will help us to better understand the influence of soil moisture on SLHF variation and their
relations with seismogenic process.
precursor. The causes are generally attributed to the increase in infrared thermal (IR) temperature and the air
ionization produced by increased emanation of radon from the Earth's crust. In this paper, the theoretical analysis and case study show that there is close relationship between soil moisture and SLHF anomalies. For inland earthquakes, the increase of soil moisture due to the rising of groundwater level will bring with higher potential
evaporation, leading to the increase of latent heat flux. Further study with more accurate soil moisture product after
the new satellite mission will help us to better understand the influence of soil moisture on SLHF variation and their
relations with seismogenic process.
References
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earthquake precursor,” Nat Hazards Earth Syst Sci, vol. 3, pp. 749-
755, 2003.
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Surface Latent Heat Flux Prior to Major Coastal and Terrestrial
Earthquakes in China(in Chinese),” Science & Technology Review,
vol. 26, n. 5, pp. 40-44, 2008. [3] K. Qin, G. M. Guo, and L. X. Wu, “Surface latent heat flux
anomalies preceding inland earthquakes in China,” Earthquake
Scinece, vol. 22, pp. 555-62, 2009.
[4] G. Cervone, S. Maekawa, and R. P. Singh, “Surface latent heat
flux and nighttime LF anomalies prior to the Mw=8.3 Tokachi-Oki
earthquake,” Natural Hazards and Earth System Sciences, vol. 6,
pp. 109-114, 2006.
[5] R. P. Singh, G. Cervone, and M. Kafatos, “Multi-sensor studies
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International Journal of Remote Sensing,” vol. 28, n.13-14, pp.
2885-2896, 2007.
[6] R. P. Singh, W. Mehdi and M. Sharma, “Complementary
nature of surface and atmospheric parameters associated with Haiti
earthquake of 12 January 2010,” Nat. Hazards Earth Syst. Sci.,
vol. 10, pp. 1299-1305, 2010.
[7] T. Xu, Z. Chen, and C. B. Li, “GPS total electron content and
surface latent heat flux variations before the 11 March 2011 M9. 0
Sendai earthquake,” Advances in Space Research, vol. 48, n. 8, pp.
1311-1317, 2011.
[8] K. Qin, L. X. Wu, A. De. Santis, and H. Wang, “Surface latent
heat flux anomalies before the MS 7.1 New Zealand earthquake
2010, Chinese Science Bulletin,” vol. 56, n. 31, pp. 3273-3280,
2011.
[9] K. Qin, L. X. Wu, A. De Santis, Meng, J., Ma, W. Y., and
Cianchini, G, “Quasi-synchronous multi-parameter anomalies
associated with the 2010–2011 New Zealand earthquake
sequence, ” Nat. Hazards Earth Syst. Sci., vol. 12, pp. 1059-1072,
2012.
[10] S. A. Pulinets, D. Ozounov, A. V. Karelin, K. A. Boyarchuk,
and L. A. Pokhmelnykh, “The physical nature of thermal
anomalies observed before strong earthquakes,” Physics and
Chemistry of the Earth, vol. 31, pp. 143-153, 2006. [11] S. A. Pulinets and D. Ouzounov, “Lithosphere–Atmosphere–
Ionosphere Coupling (LAIC) model – An unified concept for
earthquake precursors validation,” Journal of Asian Earth Sciences,
vol. 39, pp. 1-11, 2010.
[12] L. X. Wu and S. J. Liu, “Remote Sensing Rock Mechanics
and Earthquake Infrared Anomalies,” In Gary Jedlovec edited:
Advances in Geosciences & Remote Sensing. Sweden: In-Teh. pp.
709-741, 2009.
[13] D. Entekhabi, H. Nakamura, and E. G. Njoku, “Solving the
inverse problem for soil moisture and temperature profiles by
sequential assimilation of multifrequency remotely sensed
observations,” IEEE Trans. Geosci. Remote Sensing, vol. 32, pp.
438–448, Mar. 1994.
[14] W. P. Kustas, X. Zhan, and T. J. Schmugge, “Combining
optical and microwave remote sensing for mapping energy fluxes
in a semiarid watershed,” Remote Sens. Environ., vol. 64, pp. 116–
131, 1998.
[15] R. Bindlish, W. P. Kustas, A. N. French, G. R. Diak, and J. R.
Mecikalski, “Influence of near-surface soil moisture on regional
scale heat fluxes: model results using microwave remote sensing
data from SGP97,” IEEE Trans. Geosci. Remote Sensing., vol. 39
(8), pp. 1719-1722, 2001.
[16] G. N. Flerchinger, “The simultaneous heat and water (SHAW)
model,” Technical Report, Northwest Watershed Research Centre,
USDA, Agricultural Research Service, Boise, Idaho, 2000.
[17] J. J. Hartmann and K. Levy, “Hydrogeological and
gasgeochemical earthquake precursors: a review for application,”
Nat Hazards., vol. 34, pp. 279-304, 2005.
[18] L. X. Wu, K. Qin, and S. J. Liu, “GEOSS-Based Thermal
Parameters Analysis for Earthquake Anomaly Recognition,”
Proceedings of the IEEE, 99, pp. 1-17, 2012 (in press).
earthquake precursor,” Nat Hazards Earth Syst Sci, vol. 3, pp. 749-
755, 2003.
[2] J. P. Li, L. X. Wu and Z. Y. Wen, “Studies on Abnormal
Surface Latent Heat Flux Prior to Major Coastal and Terrestrial
Earthquakes in China(in Chinese),” Science & Technology Review,
vol. 26, n. 5, pp. 40-44, 2008. [3] K. Qin, G. M. Guo, and L. X. Wu, “Surface latent heat flux
anomalies preceding inland earthquakes in China,” Earthquake
Scinece, vol. 22, pp. 555-62, 2009.
[4] G. Cervone, S. Maekawa, and R. P. Singh, “Surface latent heat
flux and nighttime LF anomalies prior to the Mw=8.3 Tokachi-Oki
earthquake,” Natural Hazards and Earth System Sciences, vol. 6,
pp. 109-114, 2006.
[5] R. P. Singh, G. Cervone, and M. Kafatos, “Multi-sensor studies
of the Sumatra earthquake and tsunami of 26 December 2004,
International Journal of Remote Sensing,” vol. 28, n.13-14, pp.
2885-2896, 2007.
[6] R. P. Singh, W. Mehdi and M. Sharma, “Complementary
nature of surface and atmospheric parameters associated with Haiti
earthquake of 12 January 2010,” Nat. Hazards Earth Syst. Sci.,
vol. 10, pp. 1299-1305, 2010.
[7] T. Xu, Z. Chen, and C. B. Li, “GPS total electron content and
surface latent heat flux variations before the 11 March 2011 M9. 0
Sendai earthquake,” Advances in Space Research, vol. 48, n. 8, pp.
1311-1317, 2011.
[8] K. Qin, L. X. Wu, A. De. Santis, and H. Wang, “Surface latent
heat flux anomalies before the MS 7.1 New Zealand earthquake
2010, Chinese Science Bulletin,” vol. 56, n. 31, pp. 3273-3280,
2011.
[9] K. Qin, L. X. Wu, A. De Santis, Meng, J., Ma, W. Y., and
Cianchini, G, “Quasi-synchronous multi-parameter anomalies
associated with the 2010–2011 New Zealand earthquake
sequence, ” Nat. Hazards Earth Syst. Sci., vol. 12, pp. 1059-1072,
2012.
[10] S. A. Pulinets, D. Ozounov, A. V. Karelin, K. A. Boyarchuk,
and L. A. Pokhmelnykh, “The physical nature of thermal
anomalies observed before strong earthquakes,” Physics and
Chemistry of the Earth, vol. 31, pp. 143-153, 2006. [11] S. A. Pulinets and D. Ouzounov, “Lithosphere–Atmosphere–
Ionosphere Coupling (LAIC) model – An unified concept for
earthquake precursors validation,” Journal of Asian Earth Sciences,
vol. 39, pp. 1-11, 2010.
[12] L. X. Wu and S. J. Liu, “Remote Sensing Rock Mechanics
and Earthquake Infrared Anomalies,” In Gary Jedlovec edited:
Advances in Geosciences & Remote Sensing. Sweden: In-Teh. pp.
709-741, 2009.
[13] D. Entekhabi, H. Nakamura, and E. G. Njoku, “Solving the
inverse problem for soil moisture and temperature profiles by
sequential assimilation of multifrequency remotely sensed
observations,” IEEE Trans. Geosci. Remote Sensing, vol. 32, pp.
438–448, Mar. 1994.
[14] W. P. Kustas, X. Zhan, and T. J. Schmugge, “Combining
optical and microwave remote sensing for mapping energy fluxes
in a semiarid watershed,” Remote Sens. Environ., vol. 64, pp. 116–
131, 1998.
[15] R. Bindlish, W. P. Kustas, A. N. French, G. R. Diak, and J. R.
Mecikalski, “Influence of near-surface soil moisture on regional
scale heat fluxes: model results using microwave remote sensing
data from SGP97,” IEEE Trans. Geosci. Remote Sensing., vol. 39
(8), pp. 1719-1722, 2001.
[16] G. N. Flerchinger, “The simultaneous heat and water (SHAW)
model,” Technical Report, Northwest Watershed Research Centre,
USDA, Agricultural Research Service, Boise, Idaho, 2000.
[17] J. J. Hartmann and K. Levy, “Hydrogeological and
gasgeochemical earthquake precursors: a review for application,”
Nat Hazards., vol. 34, pp. 279-304, 2005.
[18] L. X. Wu, K. Qin, and S. J. Liu, “GEOSS-Based Thermal
Parameters Analysis for Earthquake Anomaly Recognition,”
Proceedings of the IEEE, 99, pp. 1-17, 2012 (in press).
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