El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. / This research will focus on proposing a model based on surveys conducted among people of the affected area. The questions were classified by indicators and variables selected to generate solutions to reduce social conflicts, which arise due to the emission of the particulate matter generated in the area before hauling tasks. Particulate matter is produced by hydraulic shovels, which load mineralized material and discharge it to a dump truck in mining operations. This survey was conducted among people who are specifically located in the Huari region. A study of the Social Conflict Monitoring Model (MMCS) tool was executed. It is used for recording, monitoring, and controlling this type of social conflicts, so that mining operations will not be affected in the short or long term. In addition, this model will help in discovering the opinions and/or comments when they are informed on a new method, which decreases generated particulate matter.
| Identifer | oai:union.ndltd.org:PERUUPC/oai:repositorioacademico.upc.edu.pe:10757/656292 |
| Date | 01 January 2019 |
| Creators | Filomeno, Marcio, Heracles, Josemaria, Aramburu, Vidal, Raymundo, Carlos, Moguerza, Javier M. |
| Publisher | Springer Verlag |
| Source Sets | Universidad Peruana de Ciencias Aplicadas (UPC) |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/article |
| Format | application/html |
| Source | Universidad Peruana de Ciencias Aplicadas (UPC), Repositorio Académico - UPC, Advances in Intelligent Systems and Computing, 971, 395, 406 |
| Rights | info:eu-repo/semantics/embargoedAccess |
| Relation | https://link.springer.com/chapter/10.1007/978-3-030-20494-5_37 |
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