Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Computer-assisted mapping of pyroclastic surges.

M C Malin, M F Sheridan

    Science (New York, N.Y.)
    |August 13, 1982
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    Largest recent impact craters on Mars: Orbital imaging and surface seismic co-investigation.

    Science (New York, N.Y.)·2022
    Same author

    Deposition, exhumation, and paleoclimate of an ancient lake deposit, Gale crater, Mars.

    Science (New York, N.Y.)·2015
    Same author

    Martian fluvial conglomerates at Gale crater.

    Science (New York, N.Y.)·2013
    Same author

    Evidence for magmatic evolution and diversity on Mars from infrared observations.

    Nature·2005
    Same author

    The Opportunity Rover's Athena science investigation at Meridiani Planum, Mars.

    Science (New York, N.Y.)·2004
    Same author

    Soils of Eagle crater and Meridiani Planum at the Opportunity Rover landing site.

    Science (New York, N.Y.)·2004
    Same journal

    Erratum for the Research Article "Detecting supramolecular organic nanoparticles during heat wave".

    Science (New York, N.Y.)·2026
    Same journal

    Local signals, systemic decline.

    Science (New York, N.Y.)·2026
    Same journal

    The mechanics of liver regeneration.

    Science (New York, N.Y.)·2026
    Same journal

    Computing in a memory with physics.

    Science (New York, N.Y.)·2026
    Same journal

    Retraction.

    Science (New York, N.Y.)·2026
    Same journal

    Making time.

    Science (New York, N.Y.)·2026
    See all related articles

    Scientists created volcanic hazard maps using a simplified eruption model and computer image processing. This method accurately predicted pyroclastic surge and flow boundaries and deposit thickness for the Mount St. Helens eruption.

    Area of Science:

    • Volcanology
    • Geographic Information Systems (GIS)
    • Computational modeling

    Background:

    • Volcanic hazard maps are crucial for predicting pyroclastic surge and flow impacts.
    • Existing models often require complex data inputs and computational resources.
    • Accurate mapping of deposit thickness and surge boundaries is essential for risk assessment.

    Purpose of the Study:

    • To develop a simplified pyroclastic surge and flow emplacement model.
    • To integrate this model with digital topographic data for hazard map generation.
    • To validate the model's predictions using a historical eruption case study.

    Main Methods:

    • Utilized an "energy line" concept for pyroclastic surge and flow emplacement.
    • Employed computer image-processing to combine 3D energy cone representations with digital elevation models.

    Related Experiment Videos

  • Generated theoretical hazard maps based on calculated deposit boundaries and thickness.
  • Main Results:

    • The simplified eruption model successfully generated theoretical volcanic hazard maps.
    • Calculated deposit boundaries and thickness for the 1980 Mount St. Helens eruption showed qualitative agreement with observed data.
    • The energy line and energy cone concepts provided a viable framework for modeling emplacement.

    Conclusions:

    • A simplified energy-based model, combined with GIS techniques, can effectively generate volcanic hazard maps.
    • This approach offers a computationally efficient method for hazard assessment and prediction.
    • The findings support the use of simplified models for understanding and mapping pyroclastic flow and surge phenomena.