Evaluación del impacto en calidad del aire, asociado a resuspensión de material particulado por la pavimentación de la vía principal de Caracolí - Ciudad Bolívar, Bogotá D.C.
According to Act 623 of 2011, the Zonal Planning Unit, Ismael Perdomo (UPZ-N°69), located in Bogotá D.C., is listed as area source of air pollution Class I by PM10 (SDA, 2012). Hence, the enforcement of Resolution 601/2006 (Art 9.) is essential to cooperate in the improvement of air quality. Program...
| Autor Principal: | Pinto Herrera, Laura Catalina |
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| Otros Autores: | Méndez Espinosa, Juan Felipe |
| Formato: | info:eu-repo/semantics/bachelorThesis |
| Idioma: | spa |
| Publicado: |
Universidad de La Salle. Facultad de Ingeniería. Ingeniería Ambiental y Sanitaria.
2016
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| Materias: | |
| Acceso en línea: |
http://hdl.handle.net/10185/17998 |
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| Sumario: |
According to Act 623 of 2011, the Zonal Planning Unit, Ismael Perdomo (UPZ-N°69), located in Bogotá D.C., is listed as area source of air pollution Class I by PM10 (SDA, 2012). Hence, the enforcement of Resolution 601/2006 (Art 9.) is essential to cooperate in the improvement of air quality. Programs to reduce and control the resuspension of particulate matter need to be achieved, as well as, street paving and environmental criteria. Public entities such as the Special Administrative Unit for Road Rehabilitation and Maintenance (UAERMV), the Urban Development Institute (IDU) and the Water and Sewer Company of Bogota (EAAB) are in charge of the development infrastructure of the city. The suburb of Caracoli (low-income zone) is situated within the UPZ-N°69, reason why it was selected as the research area for this thesis. The air quality impact associated with the incidence of paving the main road of Caracoli was evaluated quantitatively. Meteorological conditions and generation sources (i.e. geological, combustion) were taken into account. Furthermore, concentrations of PM during the replacement of the surface in stated were evaluated by a pavement structure of the UAERMV located in front of the jobsite. Monitoring campaigns of particulate matter were also made by specific micro-localization stations (MADS, 2008). Likewise, four criteria were employed for data processing purposes (PM2.5/PM10 ratio, PM2.5/BC ratio, monitoring point and wind direction; Upwind-Downwind). Inverse modeling was used to estimate emission factors. Two models based on Gaussian dispersion, SCREEN3 and AERMOD, were employed. These models estimate pollutant concentration, in specific receptors, from the input source of emissions that are determined. Along with, presentmeteorological and geographical conditions. It was also allowed to determine the dispersion of contaminants in the atmosphere. This procedure permitted the development of a protocol for generating emission factors of re-suspended dust by PM measurements and dispersion models (according to what has been done by Orozco et al. [2015]).
It was concluded, that paving had a positive impact in the air quality of Caracoli. It was evidenced a 95% reduction of PM2.5 and PM10, associated to re-suspension. Also, a decrease of 37% in concentrations from combustion and non-defined sources was demonstrated. Emission factors were obtained with the same magnitude for both models AERMOD and SCREEN3.
Key Words: air quality, resuspension of particulate matter, paving, modeling, emission factors |
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