Satellite thermal infrared anomalies associatedwith strong earthquakes in the Vrancea area ofRomania

Zoran, Maria A.; Savastru, Roxana; Săvăstru, D.

doi:10.1515/geo-2015-0046

Cited by 13 publications

(7 citation statements)

References 32 publications

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“…Based on long-term monitoring of the bedrock temperature in the Kangding area, the bedrock temperature was strongly correlated with low-level seismic activity and suggested that the drastic change in the bedrock temperature is caused by the stress adjustment. Properties that affect the temperature response of rocks to changes in stress are critical for understanding temperature anomalies in the crust [60][61][62].…”

Section: Significance Of the Experimental Resultsmentioning

confidence: 99%

Experimental Study of Extracting Weak Infrared Signals of Rock Induced by Cyclic Loading under the Strong Interference Background

Huang

Liu

et al. 2018

Applied Sciences

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To understand the possibility of monitoring the crustal stress and tectonic activities via satellite remote sensing technology, an experimental study focused on the thermal infrared variation was performed for cyclic loaded rock in the outdoor condition with two types of strong interference background. The stress-induced infrared radiation was extracted using wavelet analysis. The results showed that due to the significant effect of the ambient temperature, the weak stress-induced infrared signal was indistinguishable from the original infrared radiation. However, after wavelet decomposition, the infrared radiation concurrent with the change in stress became clear, and the correlation coefficient with the stress increased significantly with the value of 0.91 after decomposition. Additionally, the amplitude of the extracted stress-induced infrared signal was close to the theoretical result, indicating that the wavelet analysis method can extract the weak infrared signals induced by cyclic loading in the background of strong interference to some degree. The results provide an experimental basis and ideas for monitoring crustal stress and tectonic activities using thermal infrared remote sensing.

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Section: Significance Of the Experimental Resultsmentioning

confidence: 99%

Experimental Study of Extracting Weak Infrared Signals of Rock Induced by Cyclic Loading under the Strong Interference Background

Huang

Liu

et al. 2018

Applied Sciences

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“…Approximately, 7-8 days before the major earthquake, OLR anomaly can increase 30-45 Wm -2 around epicentral areas 10 . Zoran et al 11 discerned the development of spatiotemporal prior anomaly of LST, OLR and mean air temperature parameters related to strong earthquakes in Romania.…”

Section: Introductionmentioning

confidence: 99%

Multiparameter Spatiotemporal Anomalies with Some of the Strong Earthquakes (M > 6:0) in 2018 around the World

Rasul¹

2019

Preprint

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One of the most destructive natural disasters is the earthquake which brings enormous risks to humankind. The objective of the current study was to determine the Earthquake’s remote sensing multiparameter (i.e. land surface temperature (LST), air temperature, specific humidity, precipitation and wind speed) spatiotemporal anomaly of many earthquake samples occurred during 2018 around the world. In this research 11 earthquake (M > 6:0) studied (4 samples selected in a land with transparent sky situations, 3 samples in land within cloudy situations and 4 samples in marine earthquakes). The interquartile range (IQR) and mean ± 2σ methods utilized to improve the efficiency of anomalous differences. As a result, based on the IQR method, negative anomaly before the event detected during the daytime in Mexico and during the nighttime in Afghanistan. In addition, a negative outlier of brightness temperature (BT) detected in Alaska before, after and during the event. In contrast, based on IQR and mean ± 2σ positive anomaly detected in precipitation before and after the event in all investigated examples. According to mean ± 2σ, negative anomaly LST, specific humidity, sea surface temperature (SST_100) and wind detected in most examined earthquake samples. In contrast, positive SST_0 anomaly observed in Fiji and Honduras after the earthquake. Our results suggested in marine earthquakes, for earthquake forecasting we can merge a prior negative anomaly in the wind speed and SST_100. Regarding the in land cloudy sky earthquakes, merging anomaly parameters could be the negative prior anomaly in BT, skin temperature, in contrast, a positive anomaly in precipitation. In land transparent sky earthquake, usually negative prior anomalies in air temperature, specific humidity and LST.

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“…Thermal anomaly precursor has been attracted more in the earthquake prediction as it can be observed from the thermal remote sensors. Many reports depicted the appearence of the land surface temperature (LST) anomalies prior to strong earthquakes [2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…However, the earthquake thermal anomalies associated with small magnitude earthquake was also interesting [8]. Many studies have found that the thermal remote sensors can detect the thermal anomalies from seismic activities [3,4,[6][7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Thermal Anomalies Detection Using Comparative Method for Small Earthquake

Wongpornchai

Suwanprasit

2018

MATEC Web Conf.

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Thermal anomaly is one of the earthquake precursor in the earthquake preparatory phase. Remote sensing in thermal region has been employed based on the concept of stress accumulation in the active plate tectonics region, which may be transformed as temperature variation prior to earthquake. MODIS Land Surface Temperature has been commonly used to locate the thermal anomalies before the earthquake. Recently researches have been focusing on moderate or large magnitude earthquake events. In Thailand, small earthquake can severely damage the unprepared area. This study, the daily day- and nighttime data of MODIS MOD11A1 product for 30 days before and 15 days after the earthquake on April 22, 2007, in Wiang Pa Pao District, Chiang Rai Province, Thailand, were processed and analysed to locate possibility of thermal anomalies. Thermal anomalies before and after the earthquakes were detected using the comparative method. The result found that the thermal anomaly temperature could be high up to 4.1 - 10.9 C which occurred in 21 - 22 days prior to the earthquake. Therefore, it may conclude that small earthquake can also release energy as the detectable thermal anomaly. However, more study about the relationship between thermal precursor and earthquake is needed to continue.

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Satellite thermal infrared anomalies associatedwith strong earthquakes in the Vrancea area ofRomania

Cited by 13 publications

References 32 publications

Experimental Study of Extracting Weak Infrared Signals of Rock Induced by Cyclic Loading under the Strong Interference Background

Experimental Study of Extracting Weak Infrared Signals of Rock Induced by Cyclic Loading under the Strong Interference Background

Multiparameter Spatiotemporal Anomalies with Some of the Strong Earthquakes (M > 6:0) in 2018 around the World

Thermal Anomalies Detection Using Comparative Method for Small Earthquake

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