Why BGPT?
logo

Graphs Built From Reported Results

Turn exact figures reported in papers into graphs, each point traced to its source.Know what the science actually supports before you trust the answer.

Press Enter ↡ to create graph



    Explore by Goal












     Long Response


    Visualizing subsurface microplastics: multi-study, multi-plot dashboard

    Three interactive Plotly figures below (ocean vertical export model, particle-size sinking times, and terrestrial subsurface concentrations) using numbers and measurements extracted from the provided studies; figures are labeled, fully annotated, and immediately rendered with Plotly.newPlot(). Visuals first, short evidence notes and citations after each figure.

    Figure notes: numbers (initial mass and mass at 10, 30, 75, 100 years) are taken directly from a mechanistic fragmentation–sedimentation model that tracked a 10 mm PE parent particle and its redistributed mass across size bins; the model reports ~88.4% of mass exported to subsurface by 100 years (subsurface mass 444.53 mg) and 11% remaining at surface in small-size bins at century timescales.

    Source:

    Figure notes: the model reports median transit times for 25 Β΅m particles to reach 3000 m (~80 days) and to reach bottom (~289.4 days); for 75 Β΅m particles, ~90 days to 3000 m and ~416.7 days to bottom. These reflect sinking together with marine-snow aggregates and parameterized MSA settling velocities in model runs.

    Source:

    Figure notes: field measurements from 15 agricultural sites (Goa and Udupi; surface and subsurface sampling) show MPs present at every depth sampled (0–40 cm), with regional differences: Goa had higher values at 20–30 cm in this campaign while Udupi showed sharply declining concentrations with depth.

    Source:

    Concise synthesis & key uncertainties

    • Mechanistic model results indicate fast export of small MPs into the subsurface once created (days–months to reach 3,000 m for 25–75 Β΅m particles) but century-scale persistence at the surface for larger buoyant fragments; numbers above come from the 1-D fragmentation–sedimentation model and explicitly include its assumptions and blindspots (single polymer, 1-D vertical axis)
    • Empirical compilations of subsurface ocean observations (synthesized across 1,885 stations in a global depth-profile synthesis) demonstrate abundant microplastics beneath the surface and size-dependent vertical patterns; however, measurement heterogeneity and method differences limit absolute comparisons across studies
    • Terrestrial subsurface profiles from coastal agricultural soils show measurable MPs down to 30–40 cm, demonstrating vertical transport in soils and the need for routine, depth-resolved monitoring

    Major blindspots that would change these visual conclusions if resolved: standardization of sampling & size detection limits across ocean/soil studies; three-dimensional ocean transport and biofouling dynamics not captured by 1-D models; and lack of long-term, globally-distributed depth-resolved time series. If future standardized depth-profiles or 3-D transport models produced systematically different vertical distributions, the interpretation of export speeds and subsurface accumulation would change substantially.



    Feedback:    

    Updated: February 11, 2026

     Top Data Sources ExportMCP


     Analysis Wizard



    Preparing a reproducible Python notebook to load the model outputs and station-level depth profiles, compute uncertainty-aware depth-aggregates, and generate publication-ready depth vs. abundance and transit-time plots using the provided datasets.



     Science Art


    Create Graphs: Visualization of Subsurface Microplastics Distribution Science Art

     Science Movie


    Make a narrated HD Science movie for this answer ($32 per minute)




     Discussion


    Stay current without chasing every paper.

    Know what changed, what holds up, and what remains uncertain. Every Friday. No ads.


    My BGPT






     Trending