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Prediction of Climatic and Water Quality in Urban Cooum River of Chennai Using Machine Learning Approaches
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Researchers applied machine learning models to predict water quality and climate conditions in Chennai's Cooum River, which is heavily polluted by both industrial waste and plastic debris including microplastics. The study suggests that predictive tools could help prioritize cleanup and pollution control efforts in urban waterways.
Due to a large amount of plastic production, the river and river water are polluted. Most plastics wastages are not degradable. The river is polluted by macroplastics and microplastics. The manufacturing industries put their chemical waste into the river. The river...
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Predicting microplastic impacts on microalgae: A machine learning approach to understand dynamic interactions in aquatic ecosystems
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Scientists used artificial intelligence to figure out how microplastic pollution harms microalgae, tiny organisms that form the base of the food chain in oceans and lakes and produce much of the oxygen we breathe. They found that temperature and the plastic's chemical properties (like particle size and charge) play the biggest role in how much damage occurs, with water temperature mattering most early on and plastic characteristics mattering more over time. This matters because microalgae support entire aquatic food webs (including the fish we eat), so understanding what makes microplastics most harmful can help guide better pollution control to protect both ecosystems and our food sup
Microplastics Contamination in Water and Sediments: Seasonal and Spatial Distributions from the Urban Wetlands of Coimbatore, Tamilnadu, India
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Seasonal and spatial monitoring of three urban wetlands in Coimbatore, India found microplastic concentrations of 10–33 particles/L in surface water and 14–47 particles/0.5 kg in sediments, with monsoon season driving peak abundance and polyethylene terephthalate as the dominant polymer. Urban wetlands act as accumulation and transfer zones for microplastics, connecting city waste streams to aquatic biota and downstream human exposure.
Microplastics in aquatic environments: Bridging occurrence and mitigation through machine learning detection and bioremediation strategies
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Tiny plastic particles called microplastics are showing up in shockingly high amounts in our water, sometimes millions of particles per liter, and they can end up affecting both aquatic life and, potentially, the food and water we consume. This review paper (summarizing existing research) highlights two promising solutions: certain fungi and algae that can remove over 90% of microplastics from water in lab settings, and AI tools that can quickly detect and track plastic pollution. The catch is that these cleanup methods work great in controlled settings but haven't yet been proven to work reliably in messy, real-world water systems.
Microplastics Accumulation And Distribution In The Surface Water And Sediment Of The Kosasthalaiyar River, Tamil Nadu, India
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Microplastics were surveyed across water and sediment of Chennai's Kosasthalaiyar River, with highest concentrations found near Buckingham Canal discharge and the Ennore estuary, and FTIR confirming polyethylene, PVC, PET, polypropylene, and nylon fibers as dominant polymers. The study identifies sewage discharge and anthropogenic activity zones as primary MP entry points, demonstrating that inadequate urban waste infrastructure directly drives microplastic loading into coastal marine environments.
Research digests by email
When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.