Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

The 2017 Nishinoshima eruption: combined analysis using Himawari-8 and multiple high-resolution satellite images

View through CrossRef
AbstractNishinoshima volcano suddenly resumed eruptive activity in April 2017 after about 1.5 years of dormancy since its previous activity in 2013–2015. Nishinoshima is an uninhabited isolated island. We analyzed the eruption sequence and the eruptive process of the 2017 eruption (17 April–10 August: 116 days) by combining high-temporal-resolution images from Himawari-8 and high-spatial-resolution images from the ALOS-2, Landsat-8, and Pleiades satellites. We used these data to discuss how temporal variations in the lava effusion rate affected the flow formations and topographical features of the effused lava. The total effused volume was estimated to be 1.6 × 107 m3, and the average effusion rate was 1.5 × 105 m3/day (1.7 m3/s). Based on variations in the thermal anomalies in the 1.6-μm band of Himawari-8, which roughly coincided with that of the lava effusion rate estimated by ALOS-2, the activity was segmented into five stages. In Stage 1 (17–30 April: 14 days), the lava effusion rate was the highest, and lava flowed to the west and southwest. Stage 2 (1 May–5 June: 36 days) showed a uniform decrease in flow, and lava flowed to the southwest and formed the southwestern lava delta. During Stage 3 (6–15 June: 10 days), the lava effusion rate increased in a pulsed manner, the flow direction changed from southwestward to westward, and a narrow lava flow effused from the southern slope of the cone. In Stage 4 (16 June–31 July: 46 days), the lava effusion rate decreased and lava flowed westward through lava tubes, enlarging the western lava delta. Around the end of July, lava effusion mostly stopped. Finally, in Stage 5 (1–10 August: 10 days), explosive eruptions occurred sporadically. The variation in lava effusion rate seemed to play an important role in forming different flow patterns of lava on Nishinoshima. In Stages 1 and 3, lava flowed in multiple directions, while in Stages 2 and 4, it flowed in single direction, probably because the effusion rate was lower. A pulsed increase in the lava effusion rate during Stage 3 caused new breaks and disturbances of the lava passages near the vents, which resulted in changes in flow directions. Differences in the size of lava lobes between the southwestern and western deltas are also considered to result from differences in the lava effusion rate.
Title: The 2017 Nishinoshima eruption: combined analysis using Himawari-8 and multiple high-resolution satellite images
Description:
AbstractNishinoshima volcano suddenly resumed eruptive activity in April 2017 after about 1.
5 years of dormancy since its previous activity in 2013–2015.
Nishinoshima is an uninhabited isolated island.
We analyzed the eruption sequence and the eruptive process of the 2017 eruption (17 April–10 August: 116 days) by combining high-temporal-resolution images from Himawari-8 and high-spatial-resolution images from the ALOS-2, Landsat-8, and Pleiades satellites.
We used these data to discuss how temporal variations in the lava effusion rate affected the flow formations and topographical features of the effused lava.
The total effused volume was estimated to be 1.
6 × 107 m3, and the average effusion rate was 1.
5 × 105 m3/day (1.
7 m3/s).
Based on variations in the thermal anomalies in the 1.
6-μm band of Himawari-8, which roughly coincided with that of the lava effusion rate estimated by ALOS-2, the activity was segmented into five stages.
In Stage 1 (17–30 April: 14 days), the lava effusion rate was the highest, and lava flowed to the west and southwest.
Stage 2 (1 May–5 June: 36 days) showed a uniform decrease in flow, and lava flowed to the southwest and formed the southwestern lava delta.
During Stage 3 (6–15 June: 10 days), the lava effusion rate increased in a pulsed manner, the flow direction changed from southwestward to westward, and a narrow lava flow effused from the southern slope of the cone.
In Stage 4 (16 June–31 July: 46 days), the lava effusion rate decreased and lava flowed westward through lava tubes, enlarging the western lava delta.
Around the end of July, lava effusion mostly stopped.
Finally, in Stage 5 (1–10 August: 10 days), explosive eruptions occurred sporadically.
The variation in lava effusion rate seemed to play an important role in forming different flow patterns of lava on Nishinoshima.
In Stages 1 and 3, lava flowed in multiple directions, while in Stages 2 and 4, it flowed in single direction, probably because the effusion rate was lower.
A pulsed increase in the lava effusion rate during Stage 3 caused new breaks and disturbances of the lava passages near the vents, which resulted in changes in flow directions.
Differences in the size of lava lobes between the southwestern and western deltas are also considered to result from differences in the lava effusion rate.

Related Results

An overview of the geochemistry and petrology of the mantle-sourced Fagradalsfjall eruption, Iceland
An overview of the geochemistry and petrology of the mantle-sourced Fagradalsfjall eruption, Iceland
<p>The recent eruption of the Fagradalsfjall complex in the Reykjanes Peninsula of Iceland represents incompletely mixed basaltic magma directly erupted from a sub-cr...
Behavioural Dimorphism in Male Ruffs, Philomachus Pugnax (L.)
Behavioural Dimorphism in Male Ruffs, Philomachus Pugnax (L.)
AbstractIn the Ruff two groups of males can be distinguished: independent males and satellite males. This classification is based upon differences in territoriality and behaviour, ...
Ultra-High-Resolution Optical Remote Sensing Satellite Identification of Pine-Wood-Nematode-Infected Trees
Ultra-High-Resolution Optical Remote Sensing Satellite Identification of Pine-Wood-Nematode-Infected Trees
The pine wood nematode (PWN), one of the globally significant forest diseases, has driven the demand for precise detection methods. Recent advances in satellite remote sensing tech...
Volcanic Eruption Mass Estimation: A Machine Learning Approach
Volcanic Eruption Mass Estimation: A Machine Learning Approach
Traditional volcano monitoring relies on dense ground-based instrumentation (e.g., seismic, gravity, and deformation measurements), which is available for only a small fraction of ...
Controls on Geyser’s Eruption Behavior by Numerical Modeling
Controls on Geyser’s Eruption Behavior by Numerical Modeling
Geysers are natural hot springs that intermittently erupt with a mixture of water and steam. Geyser eruptions cause hazards but are also valuable resources for potential green ener...
Tooth Eruption Disorders from Delayed Eruption to Ectopic Eruption Management
Tooth Eruption Disorders from Delayed Eruption to Ectopic Eruption Management
Tooth eruption is a highly coordinated biological process that allows teeth to migrate from their developmental positions within the jawbone to their functional positions in the or...

Back to Top