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Topology-based Visual Analysis of Hydrothermal Plumes
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DOI：10.1111/cgf.70442.png)
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Abstract
En 中文
Hydrothermal plumes are turbulent structures of intense heat and mineral smoke that rise and disperse into the deep ocean. Existing models generally characterize these systems as a single axisymmetric plume originating from a point source. However, this assumption breaks down in weakly venting, spatially distributed systems, where low-flux discharge and strong background currents produce faint and distorted plumes that traditional centerline-based diagnostics fail to characterize. We present a topology-based visual analysis framework that treats plumes as time-varying three-dimensional scalar fields and captures their full structural variability. Using merge trees, we cluster plume snapshots into representative morphologies and uncover a clear coupling between plume structure and phases of the tidal cycle. To support exploration, we introduce a radial merge tree visualization that arranges plume similarity on a tidal clock, revealing periodic behaviors not discernible with existing techniques. We further develop an extremum graph based workflow that identifies discrete surface venting regions within a reconstructed porous rock, and use streamline visualizations to link subsurface transport pathways to the overlying plume.
Keywords:
CCS Concepts
• Human-centered computing → Visual analytics
Scientific visualization
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