Several studies have been performed, in the past 25 years, on the basis of Thermal Infrared (TIR) satellite imagery, which suggest the existence of a relation between TIR anomalies and earthquake preparatory phenomena. Among the various genetic models, the increase of green-house gas (such as CO2, CH4, etc.) emission rates, have been suggested to explain the appearance of anomalous TIR signal transients in some relation with the place and time of earthquake occurrence. In this greenhouse gas emission can not be excluded among the main causes of TIR anomalies occurrence paper the idea that an enhanced observed close to earthquake is supported by different independent observations: 1) The increase of Earth’s TIR radiation to be expected as a consequence of an increase (from 2 to 20 times its normal level) of atmospheric CO2 concentration has been evaluated by using MODTRAN Radiative Transfer code. A significant (more than 10 K in brightness temperature) TIR signal increase is to be expected as soon as local CO2 concentration becomes 3 times higher. 2) TIR anomalies observed by applying the well known Robust Satellite Technique (RST) to long historical series of Meteosat TIR observations performed over seismic areas characterized by different prevailing degassing activity: in areas dominated by diffusing gases heavier than air (as CO2) anomalous TIR patterns seem to clearly follow morphological lineaments (e.g. tectonic faults); in areas dominated by diffusing gases lighter than air (as CH4) anomalous TIR patterns flood wide areas, diffusing around with morphological lineaments.

Abrupt change in greenhouse gases emission rate as a possible genetic model of TIR anomalies observed from satellite in Earthquake active regions

GENZANO, NICOLA;
2009-01-01

Abstract

Several studies have been performed, in the past 25 years, on the basis of Thermal Infrared (TIR) satellite imagery, which suggest the existence of a relation between TIR anomalies and earthquake preparatory phenomena. Among the various genetic models, the increase of green-house gas (such as CO2, CH4, etc.) emission rates, have been suggested to explain the appearance of anomalous TIR signal transients in some relation with the place and time of earthquake occurrence. In this greenhouse gas emission can not be excluded among the main causes of TIR anomalies occurrence paper the idea that an enhanced observed close to earthquake is supported by different independent observations: 1) The increase of Earth’s TIR radiation to be expected as a consequence of an increase (from 2 to 20 times its normal level) of atmospheric CO2 concentration has been evaluated by using MODTRAN Radiative Transfer code. A significant (more than 10 K in brightness temperature) TIR signal increase is to be expected as soon as local CO2 concentration becomes 3 times higher. 2) TIR anomalies observed by applying the well known Robust Satellite Technique (RST) to long historical series of Meteosat TIR observations performed over seismic areas characterized by different prevailing degassing activity: in areas dominated by diffusing gases heavier than air (as CO2) anomalous TIR patterns seem to clearly follow morphological lineaments (e.g. tectonic faults); in areas dominated by diffusing gases lighter than air (as CH4) anomalous TIR patterns flood wide areas, diffusing around with morphological lineaments.
2009
Proceedings, 33rd International Symposium on Remote Sensing of Environment: sustaining the millenium development goals
9780932913135
earthquake
RST
TIR satellite surveys
greenhouse gases
File in questo prodotto:
File Dimensione Formato  
Tramutoli et al. - 2009 - Abrupt change in greenhouse gases emission rate as a possible genetic model of TIR anomalies observed from satelli.pdf

Accesso riservato

Dimensione 245.2 kB
Formato Adobe PDF
245.2 kB Adobe PDF   Visualizza/Apri
116900_UPLOAD.pdf

Accesso riservato

Dimensione 245.2 kB
Formato Adobe PDF
245.2 kB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1270949
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 17
  • ???jsp.display-item.citation.isi??? ND
social impact