Radon mapping, automatic measurements and extremely high 222Rn emissions during the 2002–2007 eruptive scenarios at Stromboli volcano

Cigolini, Corrado; Laiolo, Marco; Ulivieri, Giacomo; Coppola, Diego; Ripepe, Maurizio

doi:10.1016/j.jvolgeores.2013.07.011

Cited by 20 publications

(9 citation statements)

References 92 publications

(113 reference statements)

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“…In some cases, changes in the eruption style were preceded by a gradual increase in thermal output, and also in other geophysical (seismicity, deformation and infrasound: e.g. Ripepe et al 2009) and geochemical parameters (Aiuppa et al 2009;Inguaggiato et al 2011;Cigolini et al 2013). This increase was interpreted as being due to the gradual ascent of the magma column feeding the summit vents (Coppola et al 2012).…”

Section: Detection Of Magma Ascent Before Effusive Eruptionsmentioning

confidence: 99%

Enhanced volcanic hot-spot detection using MODIS IR data: results from the MIROVA system

Coppola

Laiolo

Cigolini

et al. 2015

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We describe a new volcanic hotspot detection system, named Middle InfraRed Observation of Volcanic Activity (MIROVA), based on the analysis of infrared data acquired by the Moderate Resolution Imaging Spectroradiometer sensor (MODIS). MIROVA uses the middle infrared radiation (MIR), measured by MODIS, in order to detect and measure the heat radiation deriving from volcanic activity. The algorithm combines spectral and spatial principles, allowing the detection of heat sources from 1 megawatt (MW) to more than 10 gigawatt (GW). This provides a unique opportunity to: (i) recognize small-scale variations in thermal output that may precede the onset of effusive activity; (ii) track the advance of large lava flows; (iii) estimate lava discharge rates; (iv) identify distinct effusive trends; and, lastly, (v) follow the cooling process of voluminous lava bodies for several months. Here we show the results obtained from data sets spanning 14 years recorded at the Stromboli and Mt Etna volcanoes, Italy, and we investigate the above aspects at these two persistently active volcanoes. Finally, we describe how the algorithm has been implemented within an operational near-real-time processing chain that enables the MIROVA system to provide data and infrared maps within 1 -4 h of the satellite overpass.

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Section: Detection Of Magma Ascent Before Effusive Eruptionsmentioning

confidence: 99%

Enhanced volcanic hot-spot detection using MODIS IR data: results from the MIROVA system

Coppola

Laiolo

Cigolini

et al. 2015

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157

191

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“…As mentioned above, this specific relationship may probably be attributed to the sharp cessation of explosive activity due to the propagation of an effusive fracture down to the central part of the NE flank; this event drained lava out of the crater area, causing high thermal emission and was accompanied by a sharp decrease in geophysical and geochemical parameters (e.g. Ripepe et al 2009;Cigolini et al 2013). Conversely, the short-lived effusions associated with summit overflows that occurred between 2008 and 2012 (bold grey circles in Figure 11) are characterized by a different relationship.…”

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confidence: 93%

Hot-spot detection and characterization of strombolian activity from MODIS infrared data

Coppola

Laiolo

Donne

et al. 2014

International Journal of Remote Sensing

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The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor and Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to or arising out of the use of the Content. This article may be used for research, teaching, and private study purposes. Any substantial or systematic reproduction, redistribution, reselling, loan, sub-licensing, systematic supply, or distribution in any form to anyone is expressly forbidden.

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“…The volumetric ionization rate q is proportional to the radon concentration, for example, Omori et al (2007) report q = 4 · cm −3 · s −1 for an atmospheric radon concentration of 10 Bq/m 3 . Cigolini et al (2013) show that typical radon concentrations near the summit of Stromboli are 2 × 10 4 Bq/m 3 , increasing to 1.25 × 10 6 Bq/m 3 during eruptions. In terms of the associated ion production rate q, this corresponds to q = 8,000 · cm −3 · s −1 to 2 × 10 5 · cm −3 · s −1 .…”

Section: Source Of Plume Chargingmentioning

confidence: 93%

“…Radon is emitted through the soil at Stromboli, with surveys reporting the largest radon concentrations at the summit, near active fractures (Cigolini et al, 2005;Cigolini et al, 2009). Cigolini et al (2013) show that typical radon concentrations near the summit of Stromboli are 2 × 10 4 Bq/m 3 , increasing to 1.25 × 10 6 Bq/m 3 during eruptions. The volumetric ionization rate q is proportional to the radon concentration, for example, Omori et al (2007) report q = 4 · cm −3 · s −1 for an atmospheric radon concentration of 10 Bq/m 3 .…”

Section: Source Of Plume Chargingmentioning

confidence: 99%

First In Situ Observations of Gaseous Volcanic Plume Electrification

Nicoll

Airey

Cimarelli

et al. 2019

Geophysical Research Letters

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Volcanic plumes become electrically charged, often producing spectacular displays of lightning. Previous research has focused on understanding volcanic lightning, primarily the large electric fields produced by charging of ash particles. Here we report on the previously overlooked phenomenon of volcanic plume electrification in the absence of detectable ash. We present the first in situ vertical profile measurements of charge, thermodynamic, and microphysical properties inside predominantly gaseous plumes directly above an erupting volcano. Our measurements demonstrate that substantial charge (at least ±8,000 pC/m3) is present in gaseous volcanic clouds without detectable ash. We suggest that plume charging may be enhanced by the emission of radon gas from the volcano, which causes ionization. This presents a hitherto unrecognized, but likely to be common, mechanism for charge generation in volcanic plumes, which is expected to modulate plume characteristics and lifetime. This process is currently neglected in recognized mechanisms of volcanic plume electrification.

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Radon mapping, automatic measurements and extremely high 222Rn emissions during the 2002–2007 eruptive scenarios at Stromboli volcano

Cited by 20 publications

References 92 publications

Enhanced volcanic hot-spot detection using MODIS IR data: results from the MIROVA system

Enhanced volcanic hot-spot detection using MODIS IR data: results from the MIROVA system

Hot-spot detection and characterization of strombolian activity from MODIS infrared data

First In Situ Observations of Gaseous Volcanic Plume Electrification

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