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Brahmaputra_MP_Analysis: Reproducible statistical and machine-learning pipeline for microplastic bioaccumulation in Brahmaputra River ichthyofauna
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Scientists studied fish from the Brahmaputra River (a major river in South Asia) and found that microplastic contamination in fish bodies changes with the seasons, rising and falling with rainfall and river flow patterns. Since people who eat this fish may also be eating these tiny plastic particles, the research helps estimate how much microplastic exposure comes from local diets and points to certain times of year when fish may carry higher contamination. This kind of data matters because it helps identify when the risk of microplastic exposure through food is greatest, informing better food safety guidance for communities that rely on river fish.
This repository contains the complete, reproducible Python analysis pipeline for the manuscript "Seasonal hydrology governs microplastic bioaccumulation and human dietary exposure in the ichthyofauna of the transboundary Brahmaputra River continuum." It includes cleaned input data (microplastic abundance, particle characterisation subsets, and monthly rainfall context) and code implementing non-parametric tests (Kruskal–Wallis, Dunn's post-hoc, Mann–Whitney U), a negative-binomial generalised linear model with a linear mixed-effects robustness check and station×season interaction test, PERMANOVA, exploratory Random Forest and gradient-boosting (SHAP) variable-importance analyses, tissue-partitioning and human dietary-intake estimation, and three ecotoxicological indices (Pollution Load Index, Polymer Hazard Index, Shannon diversity). Running python run_all.py regenerates every table and figure in the manuscript with a fixed random seed (42) for exact reproducibility. This work was supported by the Asia-Pacific Network for Global Change Research (APN), project CRRP2021-09MY-Rashid. v2 adds SEM surface texture quantification. pipeline (Supplimentary method Note SM1), including SDI analysis and Fig 4.
More Papers Like This
Brahmaputra_MP_Analysis: Reproducible statistical and machine-learning pipeline for microplastic bioaccumulation in Brahmaputra River ichthyofauna
AI summary Read the abstract
Scientists studied fish from the Brahmaputra River (a major waterway in South Asia) and found that microplastic contamination in fish changes with the seasons—rainfall and river flow patterns affect how much plastic ends up in the fish people eat. Using this data, the researchers estimated how much microplastic people might consume through their diet, which matters because these fish are a food source for millions of people in the region. This research provides tools and methods other scientists can reuse to track plastic pollution in fish and better understand the risks to people who rely on these rivers for food.
Brahmaputra_MP_Analysis: Reproducible statistical and machine-learning pipeline for microplastic bioaccumulation in Brahmaputra River ichthyofauna
AI summary Read the abstract
Scientists studied how the seasons and rainfall patterns of the Brahmaputra River affect microplastic buildup in local fish—the same fish that people in the region regularly eat. Using detailed statistical and computer-modeling tools, they estimated how much microplastic people might be consuming through their diet, which helps clarify the real-world health risks of eating fish from polluted rivers. This kind of analysis matters because it moves beyond just detecting microplastics to actually estimating human exposure levels, giving health officials better data to assess risk.
Monsoon-driven spatio-temporal dynamics of microplastics in Brahmaputra riverbank sediments: Quantification using spectroscopic, pollution index and multivariate analysis
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Scientists studying India's Brahmaputra River found that tiny plastic bits called microplastics—mostly from clothing fibers, packaging, and household waste—build up more heavily near cities and spike dramatically when monsoon rains wash debris into the water. These plastics eventually make their way into fish and drinking water sources, so understanding when and where they accumulate most helps communities and regulators target cleanup efforts and reduce human exposure to this pollution.
Assessing year-round microplastic loading in the lower Brahmaputra River: A threat to aquatic environment
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Scientists tracked microplastic levels in the lower Brahmaputra River in Bangladesh throughout the year and estimated that 23.6 kilograms, or trillions of particles, flow through annually. Contamination was highest during the wet season due to rainfall washing plastics into the river, and risk assessments showed potential harm to freshwater species. Since the Brahmaputra provides water and fish for millions of people, this persistent microplastic contamination is a public health concern.
Prevalence of microplastics in commonly consumed fish species of the river Old Brahmaputra, Bangladesh
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Researchers found microplastics in nearly 59% of edible fish from Bangladesh's Old Brahmaputra river, with polyethylene fibers and pellets dominating, and ingestion rates linked to fish size, feeding behavior, and downstream location.
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