Estimación de la contribución de las fuentes emisoras de material particulado pm10 empleando modelos receptores en la zona atmosférica de la universidad de la costa c.u.c.
The contribution of the different sources of particulate material was evaluated through 3 stages; sampling of 4 months, chemical characterization of filters used to capture the particulate material, and modeling for the determination of the contribution of sources of emission of particulate material...
- Autores:
-
Rugeles Ahumada, Sebastián Rene
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2017
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/342
- Acceso en línea:
- https://hdl.handle.net/11323/342
https://repositorio.cuc.edu.co/
- Palabra clave:
- Material particulado
PM10
Modelación
Modelo receptor
- Rights
- openAccess
- License
- Atribución – No comercial – Compartir igual
| Summary: | The contribution of the different sources of particulate material was evaluated through 3 stages; sampling of 4 months, chemical characterization of filters used to capture the particulate material, and modeling for the determination of the contribution of sources of emission of particulate material, in this way the mass reconstruction was carried out in the area of the University of the Coast (CUC ). Measurements of PM10 particulate material were carried out during the months of April, May, June and July, corresponding to the dry season, with sampling period of three days and measuring spaces of 24 continuous hours. The concentration of PM10 was determined gravimetrically, being able to express the concentration in μg / m3, obtaining an average concentration of 63.1 μg / m3. According to the results obtained for the characterization of the chemical species in the PM10, x-ray fluorescence, the most common species in the particulate material such as sodium (Na), chlorine (Cl), aluminum (Al) (Mn), calcium (Ca), potassium (K), iron (Fe), manganese (Mn), phosphorus (P), copper (Cu) and zinc (Zn), while the presence of organic carbon and elemental carbon was detected by the thermal gravimetric analysis technique. The chemical mass balance (CMB) and positive matrix factorization (PMF) models were used, estimating the contributions of the PM10 emitting sources that surround the atmospheric zone of the University of the Coast (CUC) and generating the first diagnosis of the pollutant PM10 to which the people that transit through that area are exposed. |
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