Scaling, performance, and quality: Machine-Learning evidence for how WWTP and compost processes shape microplastics
Abstract
Composting is a key pathway for microplastics (MPs) to enter soils via organic waste. Based on 635 records from 99 studies, MP abundance was higher in sludge-based and mixed composts than in plant-derived materials. Meta-analysis of wastewater treatment plants (WWTPs) found that primary clarification removed the most MPs. Among secondary treatments, MBR sludge had the highest MP levels - 68.53% higher than SBR and 5.6% higher than CAS. The machine-learning models (random forest with SHAP and partial dependence) were used to resolve actionable process levers with R 2 > 0.72 for WWTP process technologies and >0.77 for scenario prediction. Two parameters dominated: total plastic removal rate (TPR) and daily treatment capacity (DTC), with an operational window (TPR ≈ 92.5-96% and DTC <300,000 m 3/d) minimizing downstream MP burdens. Finally, Scenario projections suggest two mitigation pathways: source control to reduce influent loads and performance-based upgrades to sludge handling.
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Cites
Napper, I. E., & Thompson, R. C. (2019) · Environmental Science & Technology · doi:10.1021/acs.est.8b06984 · Cited by 475 · see citing works
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- Authors
- Shu, L., Jiang, Z., Fei, Y., Luo, Y., Ouyang, D., Zhang, Y., Li, J., & Zhang, H.
- Affiliations
- Zhejiang A & F University (CN)
- Jiaxing University (CN)
- Corresponding author
- Zhang, Yuejin
- Li, Jing
- Zhang, Haibo
- Venue
- Environmental Research
- Publisher
- Elsevier BV
- Published
- 2026-08
- Volume
- 302
- Pages
- 124645
- ISSN
- 0013-9351 (ISSN-L)
- OpenAlex
- W7160270140
- Cited by
- 0
- References
- 1
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Environmental Research (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (42477009, 42507048, 42177021)
- Natural Science Foundation of Zhejiang Province (LZ24D010001)
- Zhejiang A and F University (2025LFR006)
- Topics
- Physical Sciences › Environmental Science › Pollution › Microplastics and Plastic Pollution
- Physical Sciences › Environmental Science › Pollution › Pharmaceutical and Antibiotic Environmental Impacts
- Physical Sciences › Environmental Science › Waste Management and Disposal › Wastewater Treatment and Reuse
- Keywords
- microplastics, composting, wastewater treatment plants, microplastic removal, membrane bioreactor sludge, activated sludge, treatment capacity, soil contamination, organic waste, source control
- MeSH terms
- Machine Learning, Composting, Microplastics, Sewage, Soil Pollutants, Waste Disposal, Fluid, Water Pollutants, Chemical, Wastewater
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