Cui Yueju, Du Jianguo, Jing Feng, Li Xinyan. 2016: Mapping emission of carbon-bearing gases from the satellite hyperspectral data in western Sichuan before and after the 2008 Wenchuan MS8.0 earthquake. Acta Seismologica Sinica, 38(3): 448-457. DOI: 10.11939/jass.2016.03.012
Citation: Cui Yueju, Du Jianguo, Jing Feng, Li Xinyan. 2016: Mapping emission of carbon-bearing gases from the satellite hyperspectral data in western Sichuan before and after the 2008 Wenchuan MS8.0 earthquake. Acta Seismologica Sinica, 38(3): 448-457. DOI: 10.11939/jass.2016.03.012

Mapping emission of carbon-bearing gases from the satellite hyperspectral data in western Sichuan before and after the 2008 Wenchuan MS8.0 earthquake

  • Carbon-bearing gases underground strongly emitted before and after the MS8.0 Wenchuan earthquake in 2008. This paper obtained the temporal and spatial distribution characteristics of carbon-bearing gases anomalies by using the differential method with the satellite hyperspectral data. The data showed that CO2, CH4 and CO anomalies occurred before and after Wenchuan earthquake, which were spatially controlled by the faults obviously and were similar with the thermal infrared anomaly distribution. CO and CO2 anomalies had a larger range than CH4. CO anomaly distributed not only along the Longmenshan fault but also in the Sichuan basin. The order of carbon-gas anomaly appearance was CO2, CH4 and CO. CO2 and CH4 gases mainly emitted from the inner earth along the Longmenshan fault, and CH4 also may be the reduction products of CO2 under the reduce condition. CO can be controlled not only by the gas emission along the fault but also by the emitted CH4 oxidation, and CO anomaly in the Sichuan basin was caused by the oxidation of CH4 which seepes from the oil and gas field. The results not only provide new monitoring parameters of earthquake precursor but also a scientific basis for the mechanism of thermal infrared anomaly associated with “earth degassing and greenhouse effect”,and can be used in the study of earthquake prediction. At the same time, the results play an important role in the study of geological carbon-emission caused by earthquake.
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