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Magnetically Induced Rotating Rayleigh-Taylor Instability
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Identifying rheological regimes within pyroclastic density currents.

Thomas J Jones1, Abhishek Shetty2, Caitlin Chalk3

  • 1Lancaster Environment Centre, Lancaster University, Lancaster, UK. thomas.jones@lancaster.ac.uk.

Nature Communications
|May 23, 2024
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Summary
This summary is machine-generated.

Understanding pyroclastic density current (PDC) rheology is key to forecasting volcanic hazard run-out distances. This study reveals non-Newtonian behaviors like yield stress and shear-thinning/thickening, crucial for predicting PDC movement and mitigation.

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Area of Science:

  • Volcanology
  • Geophysics
  • Fluid Dynamics

Background:

  • Pyroclastic density currents (PDCs) pose significant volcanic hazards.
  • Accurate forecasting of PDC run-out distance is crucial for effective mitigation strategies.
  • Understanding the rheology of gas-pyroclast mixtures is essential but currently lacking.

Purpose of the Study:

  • To quantitatively model the rheology of gas-pyroclast mixtures under dynamic conditions relevant to PDCs.
  • To investigate the flow mobility of concentrated to intermediate pumice-rich PDCs.
  • To develop a predictive framework for PDC propagation and deposition.

Main Methods:

  • Laboratory-based rheological measurements using a specialized apparatus.
  • Experimentation with real gas-pyroclast mixtures simulating PDC conditions.
  • Analysis of dynamic rheological properties including yield stress, shear-thinning, and shear-thickening.

Main Results:

  • PDC rheology is non-Newtonian, exhibiting a yield stress linked to deposition.
  • Shear-thinning behavior was observed, promoting channel formation and velocity increases.
  • Shear-thickening behavior was identified, potentially leading to decoupling and co-PDC plume formation.

Conclusions:

  • The study provides a universal regime diagram for PDC flow behaviors.
  • Flow transitions between different rheological regimes during transport are delineated.
  • This research offers critical insights for improving PDC run-out distance forecasting and hazard mitigation.