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Seasonal Variations and Risk Assessment of Microplastics in the Riverine Sediments of the Western Ghats, A Heritage Site in Southern India
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Researchers measured microplastic concentrations and polymer composition in riverine sediments across different seasons and assessed the associated ecological risk. The study found seasonal variation in microplastic abundance and identified potential hazards from contaminated sediments.
Abstract There is very little knowledge on microplastic pollution in the Western Ghats (WG), a heritage site in southwest India. To address this, we have studied the seasonal variations of sedimentary microplastics (MPs) from River Sharavathi - a pristine river in the WG, southern India. We analysed the sedimentological and carbon content (organic and inorganic) of these sediments and explored their relationship with MPs. Finally, risk assessment indices such as the Pollution Load Index (PLI), Polymer Hazard Index (PHI), and the Potential Ecological Risk Index (PERI) were calculated to detect the levels of plastic pollution. The concentration of MPs ranged from 2.5 to 57.5 pieces/kg and 0 to 15 pieces/kg during the pre-monsoon and post-monsoon seasons, respectively. The dip in the MPs abundance during the post-monsoon season was due to the extremely high rainfall in the river basin during July-August 2019, which would have entrained the sedimentary MPs and transported them to the coast/Arabian Sea. Smaller MPs (0.3-1 mm) were more abundant than the larger MPs (1–5 mm), mainly due to the breakdown of sedimentary plastics by physical processes. Fragments, films, foams and fibres were the main categories of MPs and the main polymers were: polyethylene > polyethylene terephthalate > polypropylene. No significant relationship was observed between the sedimentological properties and microplastics, which may be due to the different physical properties of sediments and microplastics. The PLI, PHI, and PERI indices suggest different contamination levels in the river basin, and the district administration can use the data to mitigate plastic pollution in heritage sites.
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