Uncertainty propagation of meteorological and emission data in modeling pollutant dispersion in the atmosphere
Variability is true heterogeneity existing within a population that cannot be reduced or eliminated by more or better determinations. Uncertainty represents ignorance about poorly characterized phenomena, but it can be reduced by collecting more data. The aim of this paper was to study the impact of...
- Autores:
-
Diez, Sebastian
Barra, Enrique
Crespo, Flavia
Britch, Javier
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2014
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/48970
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/48970
http://bdigital.unal.edu.co/42427/
- Palabra clave:
- Uncertainty
Variability
Monte Carlo
PM10
Incertidumbre
Variabilidad
Monte Carlo.
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
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Uncertainty propagation of meteorological and emission data in modeling pollutant dispersion in the atmosphere |
| title |
Uncertainty propagation of meteorological and emission data in modeling pollutant dispersion in the atmosphere |
| spellingShingle |
Uncertainty propagation of meteorological and emission data in modeling pollutant dispersion in the atmosphere Uncertainty Variability Monte Carlo PM10 Incertidumbre Variabilidad Monte Carlo. |
| title_short |
Uncertainty propagation of meteorological and emission data in modeling pollutant dispersion in the atmosphere |
| title_full |
Uncertainty propagation of meteorological and emission data in modeling pollutant dispersion in the atmosphere |
| title_fullStr |
Uncertainty propagation of meteorological and emission data in modeling pollutant dispersion in the atmosphere |
| title_full_unstemmed |
Uncertainty propagation of meteorological and emission data in modeling pollutant dispersion in the atmosphere |
| title_sort |
Uncertainty propagation of meteorological and emission data in modeling pollutant dispersion in the atmosphere |
| dc.creator.fl_str_mv |
Diez, Sebastian Barra, Enrique Crespo, Flavia Britch, Javier |
| dc.contributor.author.spa.fl_str_mv |
Diez, Sebastian Barra, Enrique Crespo, Flavia Britch, Javier |
| dc.subject.proposal.spa.fl_str_mv |
Uncertainty Variability Monte Carlo PM10 Incertidumbre Variabilidad Monte Carlo. |
| topic |
Uncertainty Variability Monte Carlo PM10 Incertidumbre Variabilidad Monte Carlo. |
| description |
Variability is true heterogeneity existing within a population that cannot be reduced or eliminated by more or better determinations. Uncertainty represents ignorance about poorly characterized phenomena, but it can be reduced by collecting more data. The aim of this paper was to study the impact of the variability and uncertainty of the main variables, i.e., emissions and meteorology, of the PM10 concentration caused by a point source located at Malagueño (Córdoba, Argentina). To perform this analysis, a scheme was developed using the USEPA Industrial Source Complex model algorithms with a Monte Carlo methodology. Using a simulation with one hundred thousand iterations, the concentration distribution was obtained and showed that the uncertainty in wind direction had the greatest impact on the estimates. |
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2014 |
| dc.date.issued.spa.fl_str_mv |
2014-07-30 |
| dc.date.accessioned.spa.fl_str_mv |
2019-06-29T08:16:18Z |
| dc.date.available.spa.fl_str_mv |
2019-06-29T08:16:18Z |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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info:eu-repo/semantics/article |
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http://purl.org/coar/resource_type/c_6501 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Text |
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publishedVersion |
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https://repositorio.unal.edu.co/handle/unal/48970 |
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http://bdigital.unal.edu.co/42427/ |
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https://repositorio.unal.edu.co/handle/unal/48970 http://bdigital.unal.edu.co/42427/ |
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spa |
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spa |
| dc.relation.spa.fl_str_mv |
http://revistas.unal.edu.co/index.php/ingeinv/article/view/40596 |
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Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e Investigación Ingeniería e Investigación |
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Ingeniería e Investigación; Vol. 34, núm. 2 (2014); 44-48 Ingeniería e Investigación; Vol. 34, núm. 2 (2014); 44-48 2248-8723 0120-5609 |
| dc.relation.references.spa.fl_str_mv |
Diez, Sebastian and Barra, Enrique and Crespo, Flavia and Britch, Javier (2014) Uncertainty propagation of meteorological and emission data in modeling pollutant dispersion in the atmosphere. Ingeniería e Investigación; Vol. 34, núm. 2 (2014); 44-48 Ingeniería e Investigación; Vol. 34, núm. 2 (2014); 44-48 2248-8723 0120-5609 . |
| dc.rights.spa.fl_str_mv |
Derechos reservados - Universidad Nacional de Colombia |
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http://purl.org/coar/access_right/c_abf2 |
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Atribución-NoComercial 4.0 Internacional |
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http://creativecommons.org/licenses/by-nc/4.0/ |
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info:eu-repo/semantics/openAccess |
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Atribución-NoComercial 4.0 Internacional Derechos reservados - Universidad Nacional de Colombia http://creativecommons.org/licenses/by-nc/4.0/ http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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Universidad Nacional de Colombia - Facultad de Ingeniería |
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