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Application of tephra volume models to ejecta volumes from subsurface explosion experiments.
- Source :
- Journal of Applied Volcanology; 4/11/2016, Vol. 5 Issue 1, p1-11, 11p
- Publication Year :
- 2016
-
Abstract
- Deposit volume is a critical factor for reconstructing an explosive eruption. Volume estimate models typically used for large Plinian deposits have been adapted and improved repeatedly over the last few decades. Less work has been done to refine a method for estimating the volume from smaller deposits produced by discrete phreatic and phreatomagmatic explosions. The characterization of the volume and distribution of deposits is required to quantify the physical hazards presented by different explosion types and develop appropriate models of future eruptions. Six classic tephra volume models were assessed using a dataset from subsurface explosion experiments. The models typically did a poor job modelling the volume of proximal deposits as a component of total deposit volume of discrete explosion deposits. Models reproduced medial and distal deposit volumes with greater success, particularly the Exponential model and a more recent Linear Regression model. It is therefore recommended, when possible, to use digital elevation models produced from GPS or laser-based methods to characterize proximal deposits separately and to use tephra volume estimates for medial and distal deposits. Additionally, this dataset enabled the comparison of ejecta volumes with crater diameters and highlighted that this relationship only holds for simple crater scenarios without any lateral vent migration, collapse or erosion of the crater under study. The assessment and improvement of these methods are required to ensure accurate deposit volumes as they serve as one of the most important inputs to hazard assessments and numerical models. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 21915040
- Volume :
- 5
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Journal of Applied Volcanology
- Publication Type :
- Academic Journal
- Accession number :
- 114514067
- Full Text :
- https://doi.org/10.1186/s13617-016-0049-y