Model for monitoring socioenvironmental conflicts in relation to the emission of particulate matter in the prehauling phase of a surface mine in Peru

Descripción del Articulo

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
Detalles Bibliográficos
Autores: Filomeno, Marcio, Heracles, Josemaria, Aramburu, Vidal, Raymundo, Carlos, Moguerza, Javier M.
Formato: artículo
Fecha de Publicación:2019
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/656292
Enlace del recurso:http://hdl.handle.net/10757/656292
Nivel de acceso:acceso embargado
Materia:Dust
Emission
Loading
Mining
MMCS
Monitoring model
Particulate matter
Social conflict
Surface mining
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oai_identifier_str oai:repositorioacademico.upc.edu.pe:10757/656292
network_acronym_str UUPC
network_name_str UPC-Institucional
repository_id_str 2670
dc.title.en_US.fl_str_mv Model for monitoring socioenvironmental conflicts in relation to the emission of particulate matter in the prehauling phase of a surface mine in Peru
title Model for monitoring socioenvironmental conflicts in relation to the emission of particulate matter in the prehauling phase of a surface mine in Peru
spellingShingle Model for monitoring socioenvironmental conflicts in relation to the emission of particulate matter in the prehauling phase of a surface mine in Peru
Filomeno, Marcio
Dust
Emission
Loading
Mining
MMCS
Monitoring model
Particulate matter
Social conflict
Surface mining
title_short Model for monitoring socioenvironmental conflicts in relation to the emission of particulate matter in the prehauling phase of a surface mine in Peru
title_full Model for monitoring socioenvironmental conflicts in relation to the emission of particulate matter in the prehauling phase of a surface mine in Peru
title_fullStr Model for monitoring socioenvironmental conflicts in relation to the emission of particulate matter in the prehauling phase of a surface mine in Peru
title_full_unstemmed Model for monitoring socioenvironmental conflicts in relation to the emission of particulate matter in the prehauling phase of a surface mine in Peru
title_sort Model for monitoring socioenvironmental conflicts in relation to the emission of particulate matter in the prehauling phase of a surface mine in Peru
author Filomeno, Marcio
author_facet Filomeno, Marcio
Heracles, Josemaria
Aramburu, Vidal
Raymundo, Carlos
Moguerza, Javier M.
author_role author
author2 Heracles, Josemaria
Aramburu, Vidal
Raymundo, Carlos
Moguerza, Javier M.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Filomeno, Marcio
Heracles, Josemaria
Aramburu, Vidal
Raymundo, Carlos
Moguerza, Javier M.
dc.subject.en_US.fl_str_mv Dust
Emission
Loading
Mining
MMCS
Monitoring model
Particulate matter
Social conflict
Surface mining
topic Dust
Emission
Loading
Mining
MMCS
Monitoring model
Particulate matter
Social conflict
Surface mining
description El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2021-06-01T12:31:26Z
dc.date.available.none.fl_str_mv 2021-06-01T12:31:26Z
dc.date.issued.fl_str_mv 2019-01-01
dc.type.en_US.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.issn.none.fl_str_mv 21945357
dc.identifier.doi.none.fl_str_mv 10.1007/978-3-030-20494-5_37
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/656292
dc.identifier.journal.en_US.fl_str_mv Advances in Intelligent Systems and Computing
dc.identifier.eid.none.fl_str_mv 2-s2.0-85067390722
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85067390722
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 21945357
10.1007/978-3-030-20494-5_37
Advances in Intelligent Systems and Computing
2-s2.0-85067390722
SCOPUS_ID:85067390722
0000 0001 2196 144X
url http://hdl.handle.net/10757/656292
dc.language.iso.en_US.fl_str_mv eng
language eng
dc.relation.url.en_US.fl_str_mv https://link.springer.com/chapter/10.1007/978-3-030-20494-5_37
dc.rights.en_US.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.en_US.fl_str_mv application/html
dc.publisher.en_US.fl_str_mv Springer Verlag
dc.source.es_PE.fl_str_mv Universidad Peruana de Ciencias Aplicadas (UPC)
Repositorio Académico - UPC
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
instacron_str UPC
institution UPC
reponame_str UPC-Institucional
collection UPC-Institucional
dc.source.journaltitle.none.fl_str_mv Advances in Intelligent Systems and Computing
dc.source.volume.none.fl_str_mv 971
dc.source.beginpage.none.fl_str_mv 395
dc.source.endpage.none.fl_str_mv 406
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/656292/1/license.txt
bitstream.checksum.fl_str_mv 8a4605be74aa9ea9d79846c1fba20a33
bitstream.checksumAlgorithm.fl_str_mv MD5
repository.name.fl_str_mv Repositorio académico upc
repository.mail.fl_str_mv upc@openrepository.com
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spelling 27ec79dd91456a4e9e75c18032901794300c9d4d326b9d7a6122958a07552d4a8c5300949fe9c0c1be8752bedc288bb6ffa4e3f1b29165990ab4ce165cbf28f5e4ccd9500eab45c535b46774d53b19b94802aaba8500Filomeno, MarcioHeracles, JosemariaAramburu, VidalRaymundo, CarlosMoguerza, Javier M.2021-06-01T12:31:26Z2021-06-01T12:31:26Z2019-01-012194535710.1007/978-3-030-20494-5_37http://hdl.handle.net/10757/656292Advances in Intelligent Systems and Computing2-s2.0-85067390722SCOPUS_ID:850673907220000 0001 2196 144XEl 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.application/htmlengSpringer Verlaghttps://link.springer.com/chapter/10.1007/978-3-030-20494-5_37info:eu-repo/semantics/embargoedAccessUniversidad Peruana de Ciencias Aplicadas (UPC)Repositorio Académico - UPCAdvances in Intelligent Systems and Computing971395406reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCDustEmissionLoadingMiningMMCSMonitoring modelParticulate matterSocial conflictSurface miningModel for monitoring socioenvironmental conflicts in relation to the emission of particulate matter in the prehauling phase of a surface mine in Peruinfo:eu-repo/semantics/articleLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/656292/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/656292oai:repositorioacademico.upc.edu.pe:10757/6562922021-06-01 12:31:27.043Repositorio académico upcupc@openrepository.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Model for monitoring socioenvironmental conflicts in relation to the emission of particulate matter in the prehauling phase of a surface mine in Peru
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