Study for the dispersion of particulate matter emissions from a steel industry using Gaussian Plume equation through computational modeling
Digital
- Autores:
-
Maués, C.S.
Guimarães, C.
Martinez-Amariz, Alejandro David
- Tipo de recurso:
- Documento de conferencia en no proceso
- Fecha de publicación:
- 2019
- Institución:
- Universidad de Santander
- Repositorio:
- Repositorio Universidad de Santander
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.udes.edu.co:001/6822
- Acceso en línea:
- https://repositorio.udes.edu.co/handle/001/6822
- Palabra clave:
- Rights
- openAccess
- License
- © Copyright 2019 IOP Publishing
| id |
RUDES2_58ff648f6da527548c7afb88c2f3b8bc |
|---|---|
| oai_identifier_str |
oai:repositorio.udes.edu.co:001/6822 |
| network_acronym_str |
RUDES2 |
| network_name_str |
Repositorio Universidad de Santander |
| repository_id_str |
|
| dc.title.spa.fl_str_mv |
Study for the dispersion of particulate matter emissions from a steel industry using Gaussian Plume equation through computational modeling |
| title |
Study for the dispersion of particulate matter emissions from a steel industry using Gaussian Plume equation through computational modeling |
| spellingShingle |
Study for the dispersion of particulate matter emissions from a steel industry using Gaussian Plume equation through computational modeling |
| title_short |
Study for the dispersion of particulate matter emissions from a steel industry using Gaussian Plume equation through computational modeling |
| title_full |
Study for the dispersion of particulate matter emissions from a steel industry using Gaussian Plume equation through computational modeling |
| title_fullStr |
Study for the dispersion of particulate matter emissions from a steel industry using Gaussian Plume equation through computational modeling |
| title_full_unstemmed |
Study for the dispersion of particulate matter emissions from a steel industry using Gaussian Plume equation through computational modeling |
| title_sort |
Study for the dispersion of particulate matter emissions from a steel industry using Gaussian Plume equation through computational modeling |
| dc.creator.fl_str_mv |
Maués, C.S. Guimarães, C. Martinez-Amariz, Alejandro David |
| dc.contributor.author.none.fl_str_mv |
Maués, C.S. Guimarães, C. Martinez-Amariz, Alejandro David |
| description |
Digital |
| publishDate |
2019 |
| dc.date.issued.none.fl_str_mv |
2019-11-05 |
| dc.date.accessioned.none.fl_str_mv |
2022-05-16T16:40:55Z |
| dc.date.available.none.fl_str_mv |
2022-05-16T16:40:55Z |
| dc.type.spa.fl_str_mv |
Documento de Conferencia |
| dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_c94f |
| dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_18cp |
| dc.type.content.spa.fl_str_mv |
Text |
| dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
| dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ARTOTR |
| dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| format |
http://purl.org/coar/resource_type/c_18cp |
| status_str |
publishedVersion |
| dc.identifier.doi.none.fl_str_mv |
10.1088/1742-6596/1386/1/012137 |
| dc.identifier.uri.none.fl_str_mv |
https://repositorio.udes.edu.co/handle/001/6822 |
| identifier_str_mv |
10.1088/1742-6596/1386/1/012137 |
| url |
https://repositorio.udes.edu.co/handle/001/6822 |
| dc.language.iso.spa.fl_str_mv |
eng |
| language |
eng |
| dc.relation.cites.none.fl_str_mv |
C S Maués et al 2019 J. Phys.: Conf. Ser. 1386 012137 |
| dc.relation.conferencedate.spa.fl_str_mv |
28–31 May 2019 |
| dc.relation.conferenceplace.spa.fl_str_mv |
San José de Cúcuta, Colombia |
| dc.relation.ispartofconference.spa.fl_str_mv |
5th International Meeting for Researchers in Materials and Plasma Technology (5th IMRMPT) |
| dc.rights.spa.fl_str_mv |
© Copyright 2019 IOP Publishing |
| dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
| dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
| dc.rights.creativecommons.spa.fl_str_mv |
Atribución 4.0 Internacional (CC BY 4.0) |
| dc.rights.uri.spa.fl_str_mv |
https://creativecommons.org/licenses/by/4.0/ |
| rights_invalid_str_mv |
© Copyright 2019 IOP Publishing Atribución 4.0 Internacional (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/ http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.format.extent.spa.fl_str_mv |
7 p |
| dc.format.mimetype.spa.fl_str_mv |
application/pdf |
| dc.publisher.place.spa.fl_str_mv |
Reino Unido |
| dc.source.spa.fl_str_mv |
https://iopscience.iop.org/article/10.1088/1742-6596/1386/1/012137/pdf |
| institution |
Universidad de Santander |
| bitstream.url.fl_str_mv |
https://repositorio.udes.edu.co/bitstreams/3eeb4229-002b-421b-b8ae-37584ad3f5a6/download https://repositorio.udes.edu.co/bitstreams/b48cc5ff-79f2-4fab-b207-f591d9129837/download https://repositorio.udes.edu.co/bitstreams/42c3aa70-8eec-42f9-801b-c9537768935f/download https://repositorio.udes.edu.co/bitstreams/e0f522f5-bfe7-44bd-b41a-020690d344c9/download |
| bitstream.checksum.fl_str_mv |
b8c723e2bd74aea42f396b20dd2d3a41 38d94cf55aa1bf2dac1a736ac45c881c 6fe067417a67df6fc4fea71d83c3af6a 005cf1aec2a2f6c152fc1f002f722c64 |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositorio Universidad de Santander |
| repository.mail.fl_str_mv |
soporte@metabiblioteca.com |
| _version_ |
1818101606297632768 |
| spelling |
Maués, C.S.e2580255-3a5d-466d-8c55-48dc95234473-1Guimarães, C.d9507518-8f11-4f6b-bc9a-9dc6be4f39f3-1Martinez-Amariz, Alejandro David54097564-f9fd-43e7-ad86-b2ab4e6fb6d4-12022-05-16T16:40:55Z2022-05-16T16:40:55Z2019-11-05DigitalMathematical models allow evaluating air pollutants effects to the environment, being a relevant tool for planning and regulatory purposes. The present study aims to evaluate the air quality of Volta Redonda, Brazil, due to particulate matter emitted by stationary point sources of a large steel plant using meteorological data from three monitoring stations. A mathematical model was developed linking Matlab® and RStudio®, using the Gaussian dispersion equation and Google Maps to visualize the results. Observed data revealed southern, north-western and northern light prevailing winds that were used to simulate stable and unstable atmosphere conditions according Pasquill-Guifford classification. Results have exposed elevated concentrations of particulate matter in ambient air, reaching particularly Santa Cecilia neighbourhood. National air quality standards recently updated were partially met however numerous violations were indicated, considerably higher in Santa Cecilia station (47.98%), followed by Belmonte (6.69%) and Retiro (4.17%), indicating a forthcoming need for an update of the technologies and processes that emit particulate matter to improve the city air quality, preventing from environmental and human health effects.7 papplication/pdf10.1088/1742-6596/1386/1/012137https://repositorio.udes.edu.co/handle/001/6822engReino UnidoC S Maués et al 2019 J. Phys.: Conf. Ser. 1386 01213728–31 May 2019San José de Cúcuta, Colombia5th International Meeting for Researchers in Materials and Plasma Technology (5th IMRMPT)© Copyright 2019 IOP Publishinginfo:eu-repo/semantics/openAccessAtribución 4.0 Internacional (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2https://iopscience.iop.org/article/10.1088/1742-6596/1386/1/012137/pdfStudy for the dispersion of particulate matter emissions from a steel industry using Gaussian Plume equation through computational modelingDocumento de Conferenciahttp://purl.org/coar/resource_type/c_18cphttp://purl.org/coar/resource_type/c_c94fTextinfo:eu-repo/semantics/conferenceObjecthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Todas las AudienciasPublicationORIGINALStudy for the dispersion of particulate matter emissions from a steel industry using Gaussian Plume equation through computational modeling.pdfStudy for the dispersion of particulate matter emissions from a steel industry using Gaussian Plume equation through computational modeling.pdfapplication/pdf222951https://repositorio.udes.edu.co/bitstreams/3eeb4229-002b-421b-b8ae-37584ad3f5a6/downloadb8c723e2bd74aea42f396b20dd2d3a41MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-859https://repositorio.udes.edu.co/bitstreams/b48cc5ff-79f2-4fab-b207-f591d9129837/download38d94cf55aa1bf2dac1a736ac45c881cMD52TEXTStudy for the dispersion of particulate matter emissions from a steel industry using Gaussian Plume equation through computational modeling.pdf.txtStudy for the dispersion of particulate matter emissions from a steel industry using Gaussian Plume equation through computational modeling.pdf.txtExtracted texttext/plain6https://repositorio.udes.edu.co/bitstreams/42c3aa70-8eec-42f9-801b-c9537768935f/download6fe067417a67df6fc4fea71d83c3af6aMD53THUMBNAILStudy for the dispersion of particulate matter emissions from a steel industry using Gaussian Plume equation through computational modeling.pdf.jpgStudy for the dispersion of particulate matter emissions from a steel industry using Gaussian Plume equation through computational modeling.pdf.jpgGenerated Thumbnailimage/jpeg11361https://repositorio.udes.edu.co/bitstreams/e0f522f5-bfe7-44bd-b41a-020690d344c9/download005cf1aec2a2f6c152fc1f002f722c64MD54001/6822oai:repositorio.udes.edu.co:001/68222023-10-11 13:24:29.78https://creativecommons.org/licenses/by/4.0/© Copyright 2019 IOP Publishinghttps://repositorio.udes.edu.coRepositorio Universidad de Santandersoporte@metabiblioteca.comTGljZW5jaWEgZGUgUHVibGljYWNpw7NuIFVERVMKRGlyZWN0cmljZXMgZGUgVVNPIHkgQUNDRVNPCgo= |