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Item type:Publication, Applying grey clustering method and Pearson correlation to assess water quality(IJETAE Publication House, 2022-08-01)The Mantaro River travels through Junín, Ayacucho, and Huancavelica departments,in Peru, and receives not only domestic discharges from the population but also tailings fields and dumps containing lead, silver, copper, and zinc from mining companies. To be able to assess the water quality, the grey clustering method was applied, using Center-point Triangular Whitenization Weight Functions (CTWF) for this purpose. As well, Pearson correlation between parameters was used to understand the dynamics of pollution. In the watershed of the Mantaro river the results of the Monitoring of the Surface Water published in 2018 by the Mantaro Water Administrative Authority were compared to the Peruvian Environmental Quality Standards (ECA) Category 1, subcategory A parameters. The results obtained suggest that the main driver of pollution in the Mantaro river is not mining, but domestic waste in landfills and probably agriculture. Finally, this study shows responsible environmental management by mining companies, besides, could be helpful for regional and local authorities of Peru in making decisions to improve the management of the Mantaro river watershed and make the population aware of the sustainable use of water. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Assessment and analysis of soil quality in an industrial zone from Lima, Peru using the grey clustering method(IJETAE Publication House, 2022-09-01)Within the district of Ventanilla there are many lead smelting companies, which emit gases containing heavy metals that, when transported to human settlements, could be causing damage to the health of the population, mostly harming young children. At present, the evaluation of soil quality involves the monitoring of various indicators that are analysed independently, leaving aside the systemic approach in which the elements interact and often restrict each other, making the analysis very complex. In this sense, a superior analysis system is proposed based on the Grey Clustering method, which is based on the theory of grey systems, an artificial intelligence approach that allows for an integral evaluation and takes into account the high degree of uncertainty present in the environment. The proposed methodology was used for the study of soil quality in the industrial park of the district of Ventanilla - Mi Perú, specifically in 3 Areas of Potential Interest (API): "Mercado Virgen de Guadalupe", "Patio de La I.E.P. Arturo Padilla Espinoza" and "AA.HH. Las Casuarinas". The results of the evaluation of soil quality using the Grey Clustering method showed that 40% of the total number of monitoring points have very poor soil quality, with the Virgen de Guadalupe Market area having 75% of the monitoring points with very poor soil quality. Finally, the present study can be of great use to the competent authorities related to the surveillance and monitoring of soil quality, as well as the health of the nearby population in order to make decisions on the control of nearby industrial activities.