0
Meta Analysis ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 1 ? Systematic review or meta-analysis. Synthesizes findings across many studies. Strongest evidence. Detection Methods Policy & Risk Sign in to save

Identification of the driving factors of microplastic load and morphology in estuaries for improving monitoring and management strategies: A global meta-analysis

Environmental Pollution 2023 15 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 65 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Feng Qi, Feng Qi, Zheng Wang, Zheng Wang, Feng Qi, Feng Qi, Zheng Wang, Feng Qi, Feng Qi, Zheng Wang, Chunjiang An Chunjiang An Kenneth Lee, Chunjiang An Chunjiang An Chunjiang An Chunjiang An Chunjiang An Chunjiang An Zheng Wang, Chunjiang An Zheng Wang, Zhi Chen, Feng Qi, Zhi Chen, Feng Qi, Feng Qi, Chunjiang An Chunjiang An Chunjiang An Zhi Chen, Chunjiang An Zheng Wang, Zheng Wang, Chunjiang An Chunjiang An Chunjiang An Chunjiang An Chunjiang An Chunjiang An Feng Qi, Feng Qi, Feng Qi, Kenneth Lee, Kenneth Lee, Chunjiang An Kenneth Lee, Zheng Wang, Zheng Wang, Zheng Wang, Zheng Wang, Chunjiang An Chunjiang An Zheng Wang, Chunjiang An Zheng Wang, Zheng Wang, Feng Qi, Chunjiang An Zheng Wang, Zheng Wang, Zheng Wang, Feng Qi, Chunjiang An

Summary

Across 1,477 observations from 124 estuaries worldwide, microplastic abundance averaged 21,342 items/m3 in water and 1,313 items/kg in sediment, with about 69-86% of particles smaller than 1 mm. Population density and mismanaged plastic waste drove water contamination, while 47% of estuarine water and 73% of sediment samples reached the highest potential ecological risk category.

Polymers
Study Type Review

Estuaries are one of the primary pathways for transferring microplastics (MPs) from the land to the ocean. A comprehensive understanding of the load, morphological characteristics, driving factors, and potential risks of MPs in estuaries is imperative to inform reliable management in this critical transboundary area. Extracted from 135 publications, a global meta-analysis comprising 1477 observations and 124 estuaries was conducted. MP abundance in estuaries was tremendously variable, reaching a mean of 21,342.43 ± 122,557.53 items/m in water and 1312.79 ± 6295.73 items/kg in sediment. Fibers and fragments take up a majority proportion in estuaries. Polyester, polypropylene, and polyethylene are the most detected MP types. Around 68.73% and 85.51% of MPs detected in water and sediment are smaller than 1 μm. The redundancy analysis revealed that the explanatory factors influencing the morphological characteristics of MPs differed between water and sediment. Regression analysis shows that MP abundance in water is significantly inversely correlated with mesh/filter size, per capita plastic waste, and the Human Development Index, whereas it is significantly positively correlated with population density and share of global mismanaged plastic waste. MP abundance in sediment significantly positively correlated with aridity index and probability of plastic entering the ocean, while significantly negatively correlated with mesh/filter size. Analysis based on Geodector identified that the extraction method, density of flotation fluid, and sampling depth are the top three explanatory factors for MP abundance in water, while the share of global mismanaged plastic waste, the probability of plastic being emitted into the ocean, and population density are the top three explanatory factors for MP abundance in sediment. In the studied estuaries, 46.75% of the water and 2.74% of the sediment are categorized into extremely high levels of pollution, while 73.08% of the water and 43.48% of the sediment belong to class V of the potential ecological index.

Sign in to start a discussion.

Share this paper