Determination of heavy metal contamination in the surface sediments of the Antabamba River sub-basin in a medium-term period
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Abstract
The research addresses the serious environmental problem of heavy metal contamination in the surface sediments of the Antabamba River sub-basin, caused by mining, anthropogenic activities or natural processes. The main objective is to determine the influence of heavy metal contamination in the surface sediments of the Antabamba River sub-basin to predict environmental quality over a medium-term period by applying machine learning, analyzing concentrations of metals such as chromium, and considering the standards. current quality standards. With an applicative approach and correlational experimental design, 28 sediment samples were collected and analyzed at 14 stations. The use of machine learning algorithms makes it possible to predict permissible pollution limits with 75% accuracy, providing key data for environmental management and mitigation strategies for months. The results underline the need to implement regulatory control and compliance to reduce short- and medium-term impacts, and highlight the importance of applying new methods to optimize forecasts and future research
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