scholarly journals Mass discharge rate retrieval combining weather radar and thermal camera observations

2016 ◽  
Vol 121 (8) ◽  
pp. 5679-5695 ◽  
Author(s):  
Gianfranco Vulpiani ◽  
Maurizio Ripepe ◽  
Sebastien Valade
2019 ◽  
Vol 14 (1) ◽  
pp. 27-39 ◽  
Author(s):  
Fukashi Maeno ◽  
Setsuya Nakada ◽  
Mitsuhiro Yoshimoto ◽  
Taketo Shimano ◽  
Natsumi Hokanishi ◽  
...  

Kelud Volcano is among the most active volcanoes in Indonesia, with repeated explosive eruptions throughout its history. Here, we reconstructed the relationship between the repose period and the cumulative volume of erupted material over the past 100 years and estimated the long-term magma discharge rate and future eruptive potential and hazards. Tephra data and eruption sequences described in historical documents were used to estimate the volume and mass discharge rate. The volumes of the 1901, 1919, 1951, 1966, 1990, and 2014 eruptions were estimated as 51–296 × 106m3. The mass discharge rates were estimated to be on the order of 107kg/s for the 1919, 1951, and 2014 eruptions and the order of 106kg/s for the 1966 and 1990 eruptions. Based on a linear relationship between the repose period and cumulative erupted mass, the long-term mass discharge rate was estimated as ∼ 1.5 × 1010kg/year, explaining the features of the larger eruptions (1919, 1951, and 2014) but not those of the smaller eruptions (1966 and 1990). This estimate is relatively high compared to other typical basaltic-andesitic subduction-zone volcanoes. This result provides important insights into the evolution of magmatic systems and prediction of future eruptions at Kelud Volcano.


1999 ◽  
Vol 104 (B12) ◽  
pp. 29387-29400 ◽  
Author(s):  
Emily E. Brodsky ◽  
Hiroo Kanamori ◽  
Bradford Sturtevant

Particuology ◽  
2021 ◽  
Author(s):  
Quan Chen ◽  
Ran Li ◽  
Wengzheng Xiu ◽  
Vladimir Zivkovic ◽  
Hui Yang

2011 ◽  
Vol 11 (4) ◽  
pp. 12367-12409 ◽  
Author(s):  
F. S. Marzano ◽  
M. Lamantea ◽  
M. Montopoli ◽  
S. Di Fabio ◽  
E. Picciotti

Abstract. The sub-glacial Eyjafjöll explosive volcanic eruptions of April and May 2010 are analyzed and quantitatively interpreted by using ground-based weather radar data and volcanic ash radar retrieval (VARR) technique. The Eyjafjöll eruptions have been continuously monitored by the Keflavík C-band weather radar, located at a distance of about 155 km from the volcano vent. Considering that the Eyjafjöll volcano is approximately 20 km far from the Atlantic Ocean and that the northerly winds stretched the plume toward the mainland Europe, weather radars are the only means to provide an estimate of the total ejected tephra. The VARR methodology is summarized and applied to available radar time series to estimate the plume maximum height, ash particle category, ash volume, ash fallout and ash concentration every 5 min near the vent. Estimates of the discharge rate of eruption, based on the retrieved ash plume top height, are provided together with an evaluation of the total erupted mass and volume. Deposited ash at ground is also retrieved from radar data by empirically reconstructing the vertical profile of radar reflectivity and estimating the near-surface ash fallout. Radar-based retrieval results cannot be compared with ground measurements, due to the lack of the latter, but further demonstrate the unique contribution of these remote sensing products to the understating and modelling of explosive volcanic ash eruptions.


Author(s):  
Conlain Kelly ◽  
Nicholas Olsen ◽  
Dan Negrut

Abstract This study describes the implementation of a granular dynamics solver designed to run on Graphics Processing Units (GPUs). The discussion concentrates on how the Discrete Element Method (DEM) has been mapped onto the GPU architecture, the software design decisions involved in the process, and the optimizations allowed by those decisions. This solver, called Chrono::Granular, has been developed as a standalone library that can interface with other dynamics engines via triangle mesh co-simulation. A scaling analysis of the code presented herein demonstrates linear scaling with problem sizes of over two billion degrees of freedom and closing in on one billion bodies. We conclude with a study of hourglass (or hopper) mass discharge rate which compares the solver to experimental results and investigates a process for determining empirical coefficients of flow rate through simulation.


2011 ◽  
Vol 11 (18) ◽  
pp. 9503-9518 ◽  
Author(s):  
F. S. Marzano ◽  
M. Lamantea ◽  
M. Montopoli ◽  
S. Di Fabio ◽  
E. Picciotti

Abstract. The sub-glacial Eyjafjöll explosive volcanic eruptions of April and May 2010 are analyzed and quantitatively interpreted by using ground-based weather radar data and the Volcanic Ash Radar Retrieval (VARR) technique. The Eyjafjöll eruptions have been continuously monitored by the Keflavík C-band weather radar, located at a distance of about 155 km from the volcano vent. Considering that the Eyjafjöll volcano is approximately 20 km from the Atlantic Ocean and that the northerly winds stretched the plume toward the mainland Europe, weather radars are the only means to provide an estimate of the total ejected tephra. The VARR methodology is summarized and applied to available radar time series to estimate the plume maximum height, ash particle category, ash volume, ash fallout and ash concentration every 5 min near the vent. Estimates of the discharge rate of eruption, based on the retrieved ash plume top height, are provided together with an evaluation of the total erupted mass and volume. Deposited ash at ground is also retrieved from radar data by empirically reconstructing the vertical profile of radar reflectivity and estimating the near-surface ash fallout. Radar-based retrieval results cannot be compared with ground measurements, due to the lack of the latter, but further demonstrate the unique contribution of these remote sensing products to the understating and modelling of explosive volcanic ash eruptions.


2021 ◽  
Vol 377 ◽  
pp. 350-360 ◽  
Author(s):  
Xingjian Huang ◽  
Qijun Zheng ◽  
Aibing Yu ◽  
Wenyi Yan

2017 ◽  
Vol 307 ◽  
pp. 63-72 ◽  
Author(s):  
Q.J. Zheng ◽  
B.S. Xia ◽  
R.H. Pan ◽  
A.B. Yu

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