Anthropogenic emission reduction scenarios for Bogotá : air quality impact assessment
Air quality modeling is a tool used to represent the complex meteorological and chemical processes that occur in the atmosphere. These tools, however, have not been thoroughly utilized in Colombia, and have been left out of the analysis and design of public policy. In this work we use the Chemical T...
- Autores:
-
Espitia Cano, Sebastian Orlando
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/50938
- Acceso en línea:
- http://hdl.handle.net/1992/50938
- Palabra clave:
- Calidad del aire
Ingeniería
- Rights
- openAccess
- License
- https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
| Summary: | Air quality modeling is a tool used to represent the complex meteorological and chemical processes that occur in the atmosphere. These tools, however, have not been thoroughly utilized in Colombia, and have been left out of the analysis and design of public policy. In this work we use the Chemical Transport WRF-Chem to evaluate the impact of proposed public policies on air quality for the city of Bogota. We set-up our experiments during the months of February and September 2018. The first step was to identify relevant public policy documents related to air pollution, and to implement some of the proposed measures as an emission scenario in the model. The results of the experiment are then used to quantify the effect of the proposed public policies. We consider a scenario without emission reduction and 3 emission reduction scenarios. Our first reduction scenario (S1) considers the impact of paving still unpaved roads. The second scenario (S2) we evaluate the impact of the change from coal fuel to natural gas in industrial sources. The third scenario (S3) we assess the impact of all the heavy- and light-duty vehicles using a minimum standard of Euro IV Based on the modeling results we calculate the number of premature deaths attributable to PM10. For scenario 1 present 9 and 12 mortality cases for February and September respectively, benefiting mostly lower-income communities. Scenario 2 and 3 present 1 case for each month, benefiting the center and south of the city. While for PM2.5, the paving of unpaved roads generates a maximum reduction of 6 and 8 ug/m3 and avoid 3 and 4 deaths for February and September respectively. Scenarios S2 generate a maximum reduction of 3.3 ug/m3 for February and 2.6 ug/m3 for September, avoiding 1 death for each month and finally S3 show the most homogeneous reduction in Bogota with a mean of 0.5 ug/m3 for February and 0.6 ug/m3 for September, avoiding 1 death for each month. |
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