HANNAH I. SHAMLOO
  • About
    • CV
  • Research & Methods
    • Pre-Eruptive Magma Stories
    • Experimental Petrology
    • Modeling Data
  • CWU Research Students
    • Research Group
    • Students seeking research experience
  • Public Outreach

Overview

          My research interests include quantifying the processes and timescales that lead to volcanic eruptions, which is crucial information to our ability to monitor such systems and develop effective hazard mitigation plans. I use methods such as mineral and glass geochemistry, diffusion chronometry, experimental petrology, thermodynamic modeling, and statistical modeling. If you are interested in these topics, please peruse this website or contact me!

Modeling Data from Natural Systems


Example: Crystallinity of Erupted Material

        The eruptibility of magma is strongly controlled by its viscosity, which in turn is strongly controlled by the proportion of crystals to melt. We compiled nearly 1000 samples of erupted material available in the literature to assess the role crystallinity plays in eruptions for a variety of tectonic settings and eruptive styles. The data show a fundamental threshold between eruptible and non-eruptible magmas near 60 vol.% crystals, with dome eruptions as an exception.

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Shamloo, H., & Kent, A. (2024). An appraisal of the observed crystallinities of volcanic materials. Volcanica, 7(1), 105-115.
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Crystallinities of rocks from a variety of eruptive styles compiled from the literature (Shamloo and Kent, 2024).

In Progress: Volcanic Repose Time & Evaluating Sampling Bias in Eruption Records

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​           Repose time (the timing between successive eruptions at a given volcano) is an important factor when assigning a volcano a specific threat level which informs scientists and the public of its potential hazard (Ewert et al. 2018). However, little work has focused on long-term patterns of eruptions at a given volcano and to what degree these records are influenced by sampling bias. ​​My work examines these effects through statistical modeling of geochronological datasets.

Shamloo, H., C.B. Till, A.J.R. Kent (2021) Statistical Analysis of the Effects of Sampling Bias on the Distribution of Historic Eruptions at Six High-Threat Cascade Volcanoes. GSA Cordilleran Section Meeting Abstract 14-11.
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  • About
    • CV
  • Research & Methods
    • Pre-Eruptive Magma Stories
    • Experimental Petrology
    • Modeling Data
  • CWU Research Students
    • Research Group
    • Students seeking research experience
  • Public Outreach