Proceso innovador para mejorar el monitoreo de Evaluación de Impacto Ambiental (EIA) del sector minero utilizando técnicas de Control Estadístico de la Calidad (CEC/CEP)

• Autores: Gonzales, Oswaldo, Cabrera Carranza, Carlos, Aramburú, Vidal
• Formato: artículo
• Fecha de Publicación: 2022
• Institución: Universidad Nacional Mayor de San Marcos
• Repositorio: Revistas - Universidad Nacional Mayor de San Marcos
• Lenguaje: español
• OAI Identifier: oai:ojs.csi.unmsm:article/23001
• Enlace del recurso: https://revistasinvestigacion.unmsm.edu.pe/index.php/iigeo/article/view/23001
• Nivel de acceso: acceso abierto
• Materia: statistical quality control; environmental impact assessment; control estadístico de la calidad; estudio de impacto ambiental

The general objective of this work was to propose an innovative process for the use of statistical quality control (SQC/SQP) in environmental impact assessments (EIAs) that allows improving the evaluation of monitoring data and helping to take measures to reduce the effects of environmental pollution caused by mining activity. The research method was analytical, deductive, and hypothetical, with a type of applied research, an experimental design, a descriptive-interpretive level, and a mixed approach (quali-quantitative). The results confirm that the implementation of SQC/SQP techniques within the EIAs allows identifying the necessary corrective measures, optimizing decision-making, and making the required operational adjustments within the Environmental Management System (EMS). A methodology outlined in a flow diagram is proposed for the monitoring and control of components and polluting elements of soils and water, which consists of seven (7) stages, to improve the evaluation of the EIAs. Consequently, it is shown that: The implementation of the SQC/SQP techniques in the EIAs allows to improve the analysis of the monitoring data, the evaluation of the impacts and reduce the effects of the environmental contamination caused by the mining activity.