Back to Search Start Over

Microplastic Pollution and Its Potential Correlation with Environmental Factors in Daya Bay, South China Sea.

Authors :
Liu, Peiqin
Liao, Hongping
Deng, Yongyan
Zhang, Wenqi
Zhou, Zhixi
Sun, Di
Ke, Zhixin
Zhou, Aiguo
Tang, Huijuan
Source :
Journal of Marine Science & Engineering; Jul2023, Vol. 11 Issue 7, p1465, 15p
Publication Year :
2023

Abstract

Microplastics (MPs) have been given considerable attention due to their risk to aquatic organisms in marine environments. In this study, MPs' abundance and their potential correlation with environmental factors were investigated from 26 sites in Daya Bay, South China Sea. The results showed that the abundance of MPs was 1.8–13.87 items/L in surface water and 190–823 items/kg (dry weight) in sediment. The most abundant shape of MPs in both water and sediment was fiber, the most abundant particle size was 0.5–1 mm and the most abundant color was transparent. In addition, the most common polymer type of MPs was polyethylene terephthalate (PET), followed by rayon (RY), polypropylene (PP), cellulose (CL) and polyethylene (PE). The abundance of MPs in sediment was significantly correlated with sediment organic N and C (p < 0.05), while that in surface water had no significant correlation with the environmental factors except dissolved oxygen (p > 0.05). A factor analysis showed that MPs in sediment might share similar sources with organic N and C, which were mainly from the autochthonous sedimentation of marine organisms, and MPs might sediment jointly with organic matter. In summary, this study reflects on MP pollution and the potential correlation with environmental factors, providing essential data for governmental agencies to formulate microplastic pollution control policies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20771312
Volume :
11
Issue :
7
Database :
Complementary Index
Journal :
Journal of Marine Science & Engineering
Publication Type :
Academic Journal
Accession number :
169330373
Full Text :
https://doi.org/10.3390/jmse11071465