Analysis of water contamination in the mining zone of Cerro de Pasco, Peru using the grey clustering method
International Journal of Advanced Trends in Computer Science and Engineering
Water quality assessment is a complex topic, since many parameters have to be considered in order to perform a correct evaluation. For this type of studies, the grey clustering method represents a useful tool to determine the quality of water, using artificial intelligence criteria. In this work, fourteen monitoring points on three water bodies in Cerro de Pasco were assessed using the parameters established by MINAM in the Decreto Supremo N°015-2015. The data used from this study was collected
... study was collected from the Water National Authority of Peru. The results showed that 57.1% of the points presented an acceptable water quality that just needs disinfection to be purified; while 21.4% presented an intermediate water quality, which could be purified by conventional treatment and other 21.4% presented a poor water quality that needs a special treatment to be purified for human consumption. These results could be used by local authorities to evaluate, inspect and remediate the damage caused by mining activity. The grey clustering method could be applied to different types of assessments such as water, air or social impact.