Architecture
Economic and administrative sciences
- Economy
- Business Administration
- Statistics and Actuarial Sciences
- International Business
- Project Management Specialization
- Business Management Specialization
- ???jsp.home.menu-lumieres.ehuman???
- Occupational Health and Safety Management Specialization
- International Business and Economic Integration Specialization
- Master MBA Administration
- Master Degree in Human Talent Management
Sciences and Humanities
Engineering
- Industrial engineering
- Mechanical Engineering
- Petroleum engineering
- Chemical engineering
- Environmental engineering
- Energy Engineering
- Mechatronics Engineering
- Quality Management Specialization
- Environmental Management Specialization
- Master in Environmental Management for Competitiveness
- Master Degree in Comprehensive Quality and Productivity Management
- Reservoir Engineering Master
- Master in Advanced Hydrocarbon Recovery
Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11839/8037Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Molano Guzman, Laura Gineth | - |
| dc.contributor.author | Díaz Álvarez, Cristián Julián | - |
| dc.date.accessioned | 2020-09-07T18:10:44Z | - |
| dc.date.available | 2020-09-07T18:10:44Z | - |
| dc.date.issued | 2019-04-11 | - |
| dc.identifier.uri | https://hdl.handle.net/20.500.11839/8037 | - |
| dc.description | The dispersion of pollutants is a phenomenon of necessary understanding to size and forecast the concentration and mixture of gases generated by mobile and fixed sources in the lower atmosphere; Howevwe, this mobilization of chemical substances in the air by the action of gradients of pressure, temperature and concentration is not completely predictable or reproducible in the laboratory, which is why contaminant dispersion models and test benches have become a recurrent alternative in environmental studies. For this reason, it is necessary to confront the theoretical and experimental modeling using the Chamber of Interaction and Simulation of Atmospheric Pollutants -CISCA UC- in order to identify correlations and their applicability for certain studies. In order to carry out this comparison, multiple tests with carbon dioxide were made in the chamber, simulations in the Screen View software and in the Excel spreadsheet, developing the mathematics of the Gaussian model. It was evidenced that the Gaussian bell is representative for disérsion at a maximum height of 1.5 km, which in most cases equals the maxing height. In conclusion, it was possible to verify that the test bench is very useful to represent three-dimensional dispersion under controlled conditions and that the reality of the dispersion is in accordance with the Gaussian tendency. | spa |
| dc.description.abstract | En necesario comprender la dispersión de contaminantes para dimensionar y pronosticar la concentración y mezcla de gases generados por fuentes móviles y fijas en la atmósfera baja. Sin embargo, esta movilización de sustancias químicas en el aire por acción de gradientes de presión, temperatura y concentración no es completamente predecible ni reproducible en laboratorio, razón por la que los modelos de dispersión de contaminantes y los bancos de prueba se han convertido en una alternativa recurrente en los estudios ambientales. Este estudio confrontó la modelación teórica con la experimental haciendo uso de una cámara de simulación desarrollada en la Universidad Central: Cámara de Interacción y Simulación de Contaminantes Atmosféricos, con el objeto de identificar correlaciones con el modelo gaussiano y su aplicabilidad para estudios de calidad del aire. Para el análisis se realizaron múltiples marchas con dióxido de carbono en la cámara de interacción y simulaciones en el software Screen View; igualmente, en hoja de cálculo de Excel se desarrolló la matemática del modelo gaussiano. Se evidenció que la campana gaussiana es representativa para dispersión a cota máxima de 1.5 km de altura, que en la mayoría de los casos equivale a la altura de mezcla. En conclusión, fue posible verificar que el banco de pruebas es muy útil para representar dispersión tridimensional en condiciones controladas y que la realidad de la dispersión sí es acorde a la tendencia gaussiana | spa |
| dc.language.iso | es | spa |
| dc.publisher | Fundación Universidad de América | spa |
| dc.rights | Atribución – No comercial – Sin Derivar | spa |
| dc.subject | Cámara | spa |
| dc.subject | Dispersión | spa |
| dc.subject | Gaussiano | spa |
| dc.subject | Modelación | spa |
| dc.subject | Chamber | spa |
| dc.subject | Dispersion | spa |
| dc.subject | Gaussiano | spa |
| dc.subject | Modeling | spa |
| dc.title | Análisis y verificación del modelo gaussiano de dispersión: métodos teóricos y experimentales | spa |
| dc.title.alternative | Analysis and verification of the gaussian model of dispersion: theoretical and experimental methods | spa |
| dc.type | Article | spa |
| Appears in Collections: | A. Año 2019 Vol.12 No.1 | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| imagen1.png | 3.62 kB | image/png | View/Open |
