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  1. VHAST

    04 Apr 2013 | Contributor(s): Gabriel Andrés Bernal

    VHAST (Volcanic Hazard Analysis and Simulation Tool)is a probabilistic volcanic hazard assessment software. It has been developed in Visual Basic .NET and runs on Windows XP or later. VHAST supports hazard analysis of lava flows, pyroclastic flows and ash fall, using simplified models.The...

  2. PyBetVH

    28 Mar 2012 | *Tools | Contributor(s): Roberto Tonini, Laura Sandri, Jacopo Selva, Warner Marzocchi

    Compute long-term volcanic hazard using the Bayesian Event Tree for Volcanic Hazard (BET_VH) model

  3. Large Scale Experiments on Volcanic Processes (EOS)

    19 Jul 2011 | Publications | Contributor(s): Greg A Valentine

    Some of the least understood and most hazardous geologic processes involve complex multiphase flows, particularly those related to explosive volcanic eruptions. These phenomena inherently involve a wide range of characteristic length and time scales, as well as processes that are coupled across...

  4. Mount St Helens 1980-6 Activity summary

    27 Apr 2011 | Educational Materials | Contributor(s): William I Rose

    This series of two lectures summarizes the sequence of events asssociated with the 1980-86 eruptions of Mount St Helens, Washington State, USA. It is intended as a refresher for students and researchers.Lipman, Peter W., and Mullineaux, Donal R. (eds.), 1981, The 1980 Eruptions of Mount St....

  5. GeoProMT v1.0 - Geospatial Project Management Tool

    26 Apr 2011 | *Data Sets/Collections | Contributor(s): Chris S Renschler, Fernando Rios, Graham S Hayes, Jorge Valentin Bajo, Thomas W. Slomka, Michael Sheridan

    The Geospatial Project Management Tool (GeoProMT) is a web-based tool for management of shared geo-spatial and multi-temporal data such as GIS data and remotely sensed images. Integral to the GeoProMT framework is role-based access control (RBAC), where data access permissions and data users are...

  6. Modeling volcanic eruptions: Practical experience from large-scale experiments

    29 Jan 2011 | Presentations | Contributor(s): Pierfrancesco Dellino

    This lecture is part of the Large-scale Experiments Workshop held in September, 2010.