An inversion model of microplastics abundance based on satellite remote sensing: a case study in the Bohai Sea DOI

Pingping Hong,

Jing-En Xiao, Hongtao Liu

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 909, P. 168537 - 168537

Published: Nov. 17, 2023

Language: Английский

Exploring into a light-avoided environment: Mechanical-thermal coupled conditions responsible for the aging behavior of plastic waste in landfills DOI

Qiujie Huang,

Changfu Yang,

Zhaowen Cheng

et al.

Water Research, Journal Year: 2023, Volume and Issue: 242, P. 120162 - 120162

Published: June 3, 2023

Language: Английский

Citations

16

Tracing Microplastic Aging Processes Using Multimodal Deep Learning: A Predictive Model for Enhanced Traceability DOI
Yunlong Li, Xue Wang, Han Zhang

et al.

Environmental Science & Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 9, 2024

The aging process of microplastics (MPs) affects their surface physicochemical properties, thereby influencing behaviors in releasing harmful chemicals, adsorption organic contaminants, sinking, and more. Understanding the is crucial for evaluating MPs' environmental risks, but tracing remains challenging. Here, we propose a multimodal deep learning model to trace typical factors aged MPs based on characteristics. A total 1353 morphology images Fourier transform infrared spectroscopy spectra were achieved from 130 undergoing different processes, demonstrating that properties vary processes. an accuracy 93% predicting major MPs. improves model's by approximately 5-20% reduces prediction bias compared single-modal model. In practice, established was performed predict naturally collected environment matrices. results aligned with conditions specific environments, as reported previous studies. Our findings provide new insights into understanding plastic process, contributing more accurately risk assessment

Language: Английский

Citations

5

Divergent Forms of Pyroplastic: Lessons Learned from the M/V X-Press Pearl Ship Fire DOI Creative Commons
Bryan D. James, Asha de Vos, Lihini I. Aluwihare

et al.

ACS Environmental Au, Journal Year: 2022, Volume and Issue: 2(5), P. 467 - 479

Published: July 29, 2022

In late May 2021, the M/V X-Press Pearl container ship caught fire while anchored 18 km off coast of Colombo, Sri Lanka and spilled upward 70 billion pieces plastic or "nurdles" (∼1680 tons), littering country's coastline. Exposure to combustion, heat, chemicals, petroleum products led an apparent continuum changes from no obvious effects consistent with previous reports melted burned (pyroplastic) found on beaches. At middle this continuum, nurdles were discolored but appeared retain their prefire morphology, resembling that had been weathered in environment. We performed a detailed investigation physical surface properties collected beach 5 days after within 24 h arrival onshore. The color was most striking trait plastic: white for minimal alteration accident, orange containing antioxidant degradation formed by exposure gray partially combusted nurdles. Our analyses indicate fraction released not instead diverged into distinct groups. Fire left scorched, entrained particles pools plastic, covered soot, representing partial pyroplastics, new subtype pyroplastic. Cross sections showed heat- fire-induced superficial, leaving surfaces more hydrophilic interior relatively untouched. These results provide timely actionable information responders reevaluate cleanup end points, monitor recurrence these nurdles, gauge short- long-term local ecosystem, manage recovery spill. findings underscore as type pollution has yet be fully explored despite frequency at which is globally.

Language: Английский

Citations

20

Adding Depth to Microplastics DOI Creative Commons
Margherita Barchiesi, Merel Kooi, Albert A. Koelmans

et al.

Environmental Science & Technology, Journal Year: 2023, Volume and Issue: 57(37), P. 14015 - 14023

Published: Sept. 8, 2023

The effects and risks of microplastics correlate with three-dimensional (3D) properties, such as the volume surface area biologically accessible fraction diverse particle mixtures they occur in nature. However, these 3D parameters are difficult to estimate because measurement methods for spectroscopic visible light image analysis yield data only two dimensions (2D). best-existing 2D conversion models require calibration each new set particles, which is labor-intensive. Here we introduce a model that does not compare its performance existing models, including calibration-based ones. For evaluation, developed method volumes environmentally relevant microplastic estimated one go instead on cumbersome particle-by-particle basis. With this, Barchiesi can be seen most universal. implemented software used infrared spectroscopy visual expected increase accuracy risk assessments based areas toxicologically metrics.

Language: Английский

Citations

11

An inversion model of microplastics abundance based on satellite remote sensing: a case study in the Bohai Sea DOI

Pingping Hong,

Jing-En Xiao, Hongtao Liu

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 909, P. 168537 - 168537

Published: Nov. 17, 2023

Language: Английский

Citations

11