scholarly journals Renewed unrest at Mount Spurr Volcano, Alaska

Eos ◽  
2004 ◽  
Vol 85 (43) ◽  
pp. 434 ◽  
Author(s):  
John Power
Keyword(s):  
Mount Spurr

Seismic image of the Mount Spurr magmatic system

1998 ◽  
Vol 60 (1) ◽  
pp. 27-37 ◽  
Author(s):  
J. A. Power ◽  
A. Villaseñor ◽  
H. M. Benz
Keyword(s):  
Magmatic System ◽  
Seismic Image ◽  
Mount Spurr

scholarly journals Adjusting particle-size distributions to account for aggregation in tephra-deposit model forecasts

2016 ◽  
Vol 16 (14) ◽  
pp. 9399-9420 ◽  
Author(s):  
Larry G. Mastin ◽  
Alexa R. Van Eaton ◽  
Adam J. Durant
Keyword(s):  
Ad Hoc ◽  
Volcanic Eruptions ◽  
Atmospheric Temperature ◽  
Computationally Efficient ◽  
Physical Constraints ◽  
Mass Load ◽  
Tephra Deposit ◽  
Log Normal ◽  
Deposit Model ◽  
Mount Spurr

Abstract. Volcanic ash transport and dispersion (VATD) models are used to forecast tephra deposition during volcanic eruptions. Model accuracy is limited by the fact that fine-ash aggregates (clumps into clusters), thus altering patterns of deposition. In most models this is accounted for by ad hoc changes to model input, representing fine ash as aggregates with density ρagg, and a log-normal size distribution with median μagg and standard deviation σagg. Optimal values may vary between eruptions. To test the variance, we used the Ash3d tephra model to simulate four deposits: 18 May 1980 Mount St. Helens; 16–17 September 1992 Crater Peak (Mount Spurr); 17 June 1996 Ruapehu; and 23 March 2009 Mount Redoubt. In 192 simulations, we systematically varied μagg and σagg, holding ρagg constant at 600 kg m−3. We evaluated the fit using three indices that compare modeled versus measured (1) mass load at sample locations; (2) mass load versus distance along the dispersal axis; and (3) isomass area. For all deposits, under these inputs, the best-fit value of μagg ranged narrowly between  ∼  2.3 and 2.7φ (0.20–0.15 mm), despite large variations in erupted mass (0.25–50 Tg), plume height (8.5–25 km), mass fraction of fine ( <  0.063 mm) ash (3–59 %), atmospheric temperature, and water content between these eruptions. This close agreement suggests that aggregation may be treated as a discrete process that is insensitive to eruptive style or magnitude. This result offers the potential for a simple, computationally efficient parameterization scheme for use in operational model forecasts. Further research may indicate whether this narrow range also reflects physical constraints on processes in the evolving cloud.

scholarly journals Catalog of earthquake hypocenters for Augustine, Redoubt, Iliamna, and Mount Spurr volcanoes, Alaska: January 1, 1991 - December 31, 1993

1996 ◽  
Author(s):  
Arthur D. Jolly ◽  
John A. Power ◽  
Scott D. Stihler ◽  
Lalitha N. Rao ◽  
Gail Davidson ◽  
...  
Keyword(s):  
Mount Spurr

scholarly journals Observations of Volcanic Clouds in Their First Few Days of Atmospheric Residence: The 1992 Eruptions of Crater Peak, Mount Spurr Volcano, Alaska

2001 ◽  
Vol 109 (6) ◽  
pp. 677-694 ◽  
Author(s):  
William I. Rose ◽  
Gregg J. S. Bluth ◽  
David J. Schneider ◽  
Gerald G. J. Ernst ◽  
Colleen M. Riley ◽  
...  
Keyword(s):  
Volcanic Clouds ◽  
Mount Spurr

Seismicity and stress in the vicinity of Mount Spurr volcano, south central Alaska

1994 ◽  
Vol 99 (B8) ◽  
pp. 15305 ◽  
Author(s):  
Arthur D. Jolly ◽  
Robert A. Page ◽  
John A. Power
Keyword(s):  
South Central ◽  
Mount Spurr

scholarly journals Geologic context, age constraints, and sedimentology of a Pleistocene volcaniclastic succession near Mount Spurr volcano, south-central Alaska

2014 ◽  
Author(s):  
T. M. Herriott ◽  
C. J. Nye ◽  
R. D. Reger ◽  
M. A. Wartes ◽  
D. L. LePain ◽  
...  
Keyword(s):  
South Central ◽  
Mount Spurr ◽  
Age Constraints ◽  
Volcaniclastic Succession
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