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Impact of Microplastics on Oil Dispersion Efficiency in the Marine Environment

Sustainability 2021 17 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.

Min Yang, Min Yang, Min Yang, Min Yang, Min Yang, Min Yang, Baiyu Zhang, Min Yang, Xiaying Xin, Xiaying Xin, Min Yang, Min Yang, Bing Chen Min Yang, Min Yang, Baiyu Zhang, Min Yang, Bing Chen Bing Chen Baiyu Zhang, Baiyu Zhang, Baiyu Zhang, Kenneth Lee, Bing Chen Baiyu Zhang, Baiyu Zhang, Baiyu Zhang, Bing Chen Yifu Chen, Bing Chen Baiyu Zhang, Min Yang, Min Yang, Min Yang, Min Yang, Min Yang, Min Yang, Bing Chen Xiaying Xin, Xiaying Xin, Xiaying Xin, Xiaying Xin, Xiaying Xin, Kenneth Lee, Xiaying Xin, Bing Chen Bing Chen Xiaying Xin, Xiaying Xin, Xiaying Xin, Kenneth Lee, Baiyu Zhang, Bing Chen Min Yang, Baiyu Zhang, Kenneth Lee, Baiyu Zhang, Bing Chen Bing Chen Baiyu Zhang, Baiyu Zhang, Baiyu Zhang, Bing Chen Bing Chen Baiyu Zhang, Baiyu Zhang, Bing Chen Bing Chen Min Yang, Baiyu Zhang, Baiyu Zhang, Baiyu Zhang, Baiyu Zhang, Baiyu Zhang, Bing Chen

Summary

This study found that microplastics change the effectiveness of chemical dispersants used in oil spill response, altering oil droplet size and dispersion efficiency in ways that depend on the ratio of dispersant to oil and the mixing conditions. Understanding how microplastics interact with oil spill response chemicals is important for predicting combined pollution impacts and refining cleanup strategies.

Study Type Environmental

Oil spill and microplastics (MPs) pollution has raised global concerns, due to the negative impacts on ocean sustainability. Chemical dispersants were widely adopted as oil-spill-treating agents. When MPs exist during oil dispersion, MP/oil-dispersant agglomerates (MODAs) are observed. This study explored how MPs affect oil-dispersion efficiency in oceans. Results showed that, under dispersant-to-oil volumetric ratio (DOR) 1:10 and mixing energy of 200 rpm, the addition of MPs increased the oil droplet size, total oil volume concentration, and oil-dispersion efficiency. Under DOR 1:25 and mixing energy of 120 rpm, the addition of MPs increased the oil droplet size but resulted in a decrease of total oil volume concentration and dispersion efficiency. Compared with the oil volume concentration, the oil droplet size may no longer be an efficient parameter for evaluating oil-dispersion efficiency with the existence of MODAs. A machine learning (ML)-based XGBRegressor model was further constructed to predict how MPs affected oil volume concentration and oil-dispersion efficiency in oceans. The research outputs would facilitate decision-making during oil-spill responses and build a foundation for the risk assessment of oil and MP co-contaminants that is essential for maintaining ocean sustainability.

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