期刊
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 30, 期 43, 页码 97712-97722出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s11356-023-29393-w
关键词
Polymers; Pollution load index; Polymer hazard index; Microplastics degradation; Textile industry; Urbanization
This study aims to extract, measure, and classify microplastics in sediment samples from Noyyal River in South India during monsoon and summer seasons. Microplastics were detected in forms of foams, films, fragments, and fibers. The dominant polymer types varied between seasons, with different degradation and surface morphologies observed. Despite lower Pollution Load Index (PLI), microplastics pose an extreme danger threat to the environment during the summer season compared to the monsoon.
Microplastic (MP) is a contaminant presently causing a significant environmental risk. The present study aims to extract, measure, and classify MP in sediment samples from two seasons (monsoon and summer) in Noyyal River, South India. Microplastic was separated from sediments using the Sediment Microplastic Isolation technique. Microplastics were detected in four forms: foams, films, fragments, and fibres. Dominant polymer types during monsoon are Polystyrene (29%), Polycarbonate (13%), Nylon (13%), and Ethylene Vinyl Acetate (13%). Throughout summer, Polystyrene (17%) was the prevalent polymer type, followed by Nylon (14%), Polycarbonate (11%), and Polyvinyl Chloride (9%). Scanning Electron Microscope (SEM) demonstrated that MPs exhibit diverse surface morphologies, including foamy, fibrous, and granular nature. It also shows tearing and fracturing of MPs and aging, indicating substantial summer degradation. Using Polymer Hazard Index (PHI) and Pollution Load Index (PLI), MP vulnerability in sediments indicates that despite lesser PLI, the MPs pose an extreme danger threat to the environment during the summer season compared to the monsoon. The study thus provides insight into the seasonal variation of MPs and their threat in Noyyal River sediments, which will aid in formulating guidelines for the minimization of MPs in river systems.
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