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65marcos/soil-microplastics: PDKP v1.0.0 - Initial Release2

Zenodo (CERN European Organization for Nuclear Research) 2026
65marcos

Summary

Scientists built a computer model that predicts how plastic mulch used in farm fields breaks down over time and releases chemical additives—like plasticizers and other potentially harmful compounds—into the soil. Tested on real farmland data over several years, the model could reasonably track how these chemicals move and build up, which matters because it helps researchers estimate how much of these substances might end up in soil, water, and eventually the food we eat. This is a modeling tool rather than a direct health study, but it lays groundwork for better predicting chemical exposure risks tied to agricultural plastics.

PDKP v1.0: Polymer Degradation Kinetics for Plastics Process-based modeling framework for microplastic-associated additive dynamics in agricultural soils. What is PDKP? PDKP v1.0 is a mechanistic framework that couples polymer degradation, additive partitioning, and soil transport to predict chemical migration under realistic field conditions. The model is parameterized for five polymer types (PE, PP, PET, PLA, PBAT) and six representative additives (DEHP, Bisphenol A, UV-328, TCEP, Nonylphenol). Key Features Module I — Polymer Degradation: Tracks molecular weight, crystallinity, and surface area evolution under UV, temperature, moisture, and mechanical stress Module II — Additive Partitioning: Links degradation state to additive release kinetics and soil-water partitioning Module III — Soil Transport: Solves 1D advection-dispersion with sorption, biodegradation, and source terms Sensitivity Analysis: Variance-based Sobol indices and Morris screening for 28 parameters Uncertainty Quantification: Latin Hypercube Sampling with Gelman-Rubin convergence diagnostics Scenario Projections: CMIP6 climate downscaling and management alternatives through 2050 Error Documentation: Living error log with 8 documented errors and 10 verification checks Validation Validated against four-year field data from Xinjiang cotton fields (2018–2022). Transferability confirmed across North China Plain, Yangtze Delta, and Northeast China without recalibration. | Metric | MP Mass | Phthalate | UV-328 | |--------|---------|-----------|--------| | NSE | 0.72 | 0.68 | 0.65 | | PBIAS | +5% | −8% | +3% | | R² | 0.78 | 0.74 | 0.71 | Installation pip install -e .

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