Desarrollo de una herramienta computacional para establecer la visibilidad atmosférica de Bogotá a través de imágenes
Particulate matter is a pollutant related to decreased visibility, effects on vegetation and ecosystems, damage to materials, effects on climate change (US Environmental Protection Agency, 2010) and adverse effects on human health, such as damage to the circulatory and respiratory system (World Heal...
- Autores:
-
Sanchez Jaramillo, Angy Patricia
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2017
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/60825
- Acceso en línea:
- http://hdl.handle.net/1992/60825
- Palabra clave:
- Calidad del aire
Contaminación del aire
Material particulado
Procesamiento de imágenes
- Rights
- openAccess
- License
- https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
Summary: | Particulate matter is a pollutant related to decreased visibility, effects on vegetation and ecosystems, damage to materials, effects on climate change (US Environmental Protection Agency, 2010) and adverse effects on human health, such as damage to the circulatory and respiratory system (World Health Organization, 2006). Because of the importance of particulate matter as a pollutant, this project seeks to see the feasibility of using images to estimate pollution levels through an estimation of visibility. To do that, a base of images was created with around 210 photos captured from two terraces of the University of the Andes. An adjustment was made to each image using image registration methods to align the images with the help of MATLAB and Python software. With these same programs, we work during the entire process of calculating the values of the coefficient of extinction of light and visibility under different contrast situations. The data obtained... |
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