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Free Interactive Model

Microplastics Risk Model

A computational Python library mapping microplastic concentration vectors across global aquatic pathways.

🧪 Risk Index Simulator

📊 Projected Risk Output
MICROPLASTIC CONCENTRATION 0.00 particles/L
BIOLOGICAL RISK LEVEL Moderate
🎓 Workshop Relevance:

This predictive model represents the core architecture taught in our Microplastics Analytics & Detection program.

# Planned package: dstc-plastics is not yet released.
# This shows the intended API, not a working install.
import dstc_plastics as dp

model = dp.MicroplasticsModel(source="coastal", runoff=1.4)
density = model.predict(recycling_rate=35)
print(f"Est. Density: {density:.2f} particles/L")
# Example output: 1.64 particles/L (Risk: MODERATE)

The dstc-plastics package is not yet published. The snippet above shows the intended interface so the calculation can be reviewed; run the model on this page in the meantime.

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Frequently Asked Questions

Exposure and ecological risk arising from microplastic concentrations in water and soil, given the particle size distribution, polymer type and the receptor being assessed.

The model runs in the browser with every parameter and assumption shown alongside the result, so a calculation can be inspected and repeated. A downloadable code release is planned.

Yes, with citation to the Deep Science and Technology Consortium and a statement of the parameter values used, since results depend heavily on those inputs.