Attribution of early deaths associated with atmospheric emissions of different economic sectors in Colombia in the year 2018
"The National Institute of Health estimates that currently 15,681 premature deaths a year in Colombia are attributable to air pollution. However, little is known about the contribution of various economic sectors to the concentrations of air pollutants at the national and local level. In this p...
- Autores:
-
Montejo Barato, Thalia Alejandra
- 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:1992/49390
- Acceso en línea:
- http://hdl.handle.net/1992/49390
- Palabra clave:
- Contaminación del aire
Material particulado
Aerosoles atmosféricos
Enfermedades respiratorias
Compuestos orgánicos volátiles
Ingeniería
- Rights
- openAccess
- License
- https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
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dc.title.es_CO.fl_str_mv |
Attribution of early deaths associated with atmospheric emissions of different economic sectors in Colombia in the year 2018 |
title |
Attribution of early deaths associated with atmospheric emissions of different economic sectors in Colombia in the year 2018 |
spellingShingle |
Attribution of early deaths associated with atmospheric emissions of different economic sectors in Colombia in the year 2018 Contaminación del aire Material particulado Aerosoles atmosféricos Enfermedades respiratorias Compuestos orgánicos volátiles Ingeniería |
title_short |
Attribution of early deaths associated with atmospheric emissions of different economic sectors in Colombia in the year 2018 |
title_full |
Attribution of early deaths associated with atmospheric emissions of different economic sectors in Colombia in the year 2018 |
title_fullStr |
Attribution of early deaths associated with atmospheric emissions of different economic sectors in Colombia in the year 2018 |
title_full_unstemmed |
Attribution of early deaths associated with atmospheric emissions of different economic sectors in Colombia in the year 2018 |
title_sort |
Attribution of early deaths associated with atmospheric emissions of different economic sectors in Colombia in the year 2018 |
dc.creator.fl_str_mv |
Montejo Barato, Thalia Alejandra |
dc.contributor.advisor.none.fl_str_mv |
Morales Betancourt, Ricardo Ramos Bonilla, Juan Pablo |
dc.contributor.author.none.fl_str_mv |
Montejo Barato, Thalia Alejandra |
dc.contributor.jury.none.fl_str_mv |
Guzmán García, Luis Ángel Bonilla Londoño, Jorge Alexander |
dc.subject.armarc.es_CO.fl_str_mv |
Contaminación del aire Material particulado Aerosoles atmosféricos Enfermedades respiratorias Compuestos orgánicos volátiles |
topic |
Contaminación del aire Material particulado Aerosoles atmosféricos Enfermedades respiratorias Compuestos orgánicos volátiles Ingeniería |
dc.subject.themes.none.fl_str_mv |
Ingeniería |
description |
"The National Institute of Health estimates that currently 15,681 premature deaths a year in Colombia are attributable to air pollution. However, little is known about the contribution of various economic sectors to the concentrations of air pollutants at the national and local level. In this project, we use a state-of-the-art chemical transport model to formulate a methodology to determine the sectoral contributions to the levels of air pollution in the country. The chemical transport and meteorological model, WRF-Chem V3.9, was implemented for a 3267 km by 3267 km domain in northern South America at horizontal resolution of 27 x 27 km, and with 41 vertical levels. In addition, two nested domains with a spatial resolution of 9 x 9, and 3 x 3 kilometers respectively were configured, with the highest resolution domain centered in the city of Bogotá. Anthropogenic emissions were taken from the EDGAR global emissions inventory V.4.3.1 (2010) and complemented with the local inventory of the Bogotá District Department of the Environment (2012). Emissions were disaggregated into 5 sectors: Agricultural, Electric Power Generation, Industrial, Land Transportation, Commercial and Residential and otherþs sectors. Seven scenarios were built to carry out the sectoral attribution: a base scenario which includes total emissions (i.e., including all sectors), and further 6 more scenarios in which emissions from a given economic sector were eliminated. This analysis establishes the attribution of each sector to the concentration of PM2.5, NOX, SOX, CO, and O3. The results obtained in this study show that the land transport sector is responsible for 329 premature deaths from cardiovascular and respiratory diseases associated with environmental contamination by PM2.5 and O3 in Colombia as of the simulation date, in addition 23% of these deaths occur in Bogotá..." |
publishDate |
2020 |
dc.date.issued.es_CO.fl_str_mv |
2020 |
dc.date.accessioned.none.fl_str_mv |
2021-03-01T09:14:57Z |
dc.date.available.none.fl_str_mv |
2021-03-01T09:14:57Z |
dc.type.spa.fl_str_mv |
Trabajo de grado - Maestría |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/masterThesis |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/TM |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/1992/49390 |
dc.identifier.pdf.none.fl_str_mv |
u837628.pdf |
dc.identifier.instname.spa.fl_str_mv |
instname:Universidad de los Andes |
dc.identifier.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional Séneca |
dc.identifier.repourl.spa.fl_str_mv |
repourl:https://repositorio.uniandes.edu.co/ |
url |
http://hdl.handle.net/1992/49390 |
identifier_str_mv |
u837628.pdf instname:Universidad de los Andes reponame:Repositorio Institucional Séneca repourl:https://repositorio.uniandes.edu.co/ |
dc.language.iso.es_CO.fl_str_mv |
eng |
language |
eng |
dc.rights.uri.*.fl_str_mv |
https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
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https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.extent.es_CO.fl_str_mv |
58 hojas |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.es_CO.fl_str_mv |
Universidad de los Andes |
dc.publisher.program.es_CO.fl_str_mv |
Maestría en Ingeniería Ambiental |
dc.publisher.faculty.es_CO.fl_str_mv |
Facultad de Ingeniería |
dc.publisher.department.es_CO.fl_str_mv |
Departamento de Ingeniería Civil y Ambiental |
dc.source.es_CO.fl_str_mv |
instname:Universidad de los Andes reponame:Repositorio Institucional Séneca |
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Universidad de los Andes |
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spelling |
Al consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Morales Betancourt, Ricardovirtual::5274-1Ramos Bonilla, Juan Pablovirtual::5275-1Montejo Barato, Thalia Alejandra42604f93-85bb-4b34-9a9f-df43a5ebb64e500Guzmán García, Luis ÁngelBonilla Londoño, Jorge Alexander2021-03-01T09:14:57Z2021-03-01T09:14:57Z2020http://hdl.handle.net/1992/49390u837628.pdfinstname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/"The National Institute of Health estimates that currently 15,681 premature deaths a year in Colombia are attributable to air pollution. However, little is known about the contribution of various economic sectors to the concentrations of air pollutants at the national and local level. In this project, we use a state-of-the-art chemical transport model to formulate a methodology to determine the sectoral contributions to the levels of air pollution in the country. The chemical transport and meteorological model, WRF-Chem V3.9, was implemented for a 3267 km by 3267 km domain in northern South America at horizontal resolution of 27 x 27 km, and with 41 vertical levels. In addition, two nested domains with a spatial resolution of 9 x 9, and 3 x 3 kilometers respectively were configured, with the highest resolution domain centered in the city of Bogotá. Anthropogenic emissions were taken from the EDGAR global emissions inventory V.4.3.1 (2010) and complemented with the local inventory of the Bogotá District Department of the Environment (2012). Emissions were disaggregated into 5 sectors: Agricultural, Electric Power Generation, Industrial, Land Transportation, Commercial and Residential and otherþs sectors. Seven scenarios were built to carry out the sectoral attribution: a base scenario which includes total emissions (i.e., including all sectors), and further 6 more scenarios in which emissions from a given economic sector were eliminated. This analysis establishes the attribution of each sector to the concentration of PM2.5, NOX, SOX, CO, and O3. The results obtained in this study show that the land transport sector is responsible for 329 premature deaths from cardiovascular and respiratory diseases associated with environmental contamination by PM2.5 and O3 in Colombia as of the simulation date, in addition 23% of these deaths occur in Bogotá...""El Instituto Nacional de Salud estima que en la actualidad 15.681 muertes prematuras al año en Colombia son atribuibles a la contaminación del aire. Sin embargo, se sabe poco sobre la contribución de diversos sectores económicos a las concentraciones de contaminantes atmosféricos a nivel nacional y local. En este proyecto, utilizamos un modelo de transporte químico de última generación para formular una metodología para determinar las contribuciones sectoriales a los niveles de contaminación del aire en el país. El modelo de transporte químico y meteorológico, WRF-Chem V3.9, se implementó para un dominio de 3267 km por 3267 km en el norte de América del Sur con una resolución horizontal de 27 x 27 km y con 41 niveles verticales. Además, se configuraron dos dominios anidados con una resolución espacial de 9 x 9 y 3 x 3 kilómetros respectivamente, con el dominio de mayor resolución centrado en la ciudad de Bogotá. Las emisiones antropogénicas se tomaron del inventario de emisiones globales EDGAR V.4.3.1 (2010) y se complementaron con el inventario local del Departamento de Medio Ambiente del Distrito de Bogotá (2012). Las emisiones se desagregaron en 5 sectores: Agrícola, Generación de Energía Eléctrica, Industrial, Transporte Terrestre, Comercial y Residencial y otros sectores. Se construyeron siete escenarios para llevar a cabo la atribución sectorial: un escenario base que incluye las emisiones totales (es decir, incluyendo todos los sectores), y otros 6 escenarios más en los que se eliminaron las emisiones de un determinado sector económico. Este análisis establece la atribución de cada sector a la concentración de PM2.5, NOX, SOX, CO y O3. Los resultados obtenidos en este estudio muestran que el sector transporte terrestre es responsable de 329 muertes prematuras por enfermedades cardiovasculares y respiratorias asociadas a la contaminación ambiental por PM2.5 y O3 en Colombia a la fecha de simulación, además el 23% de estas muertes ocurren en Bogotá..."--Tomado del Formato de Documento de GradoMagíster en Ingeniería AmbientalMaestría58 hojasapplication/pdfengUniversidad de los AndesMaestría en Ingeniería AmbientalFacultad de IngenieríaDepartamento de Ingeniería Civil y Ambientalinstname:Universidad de los Andesreponame:Repositorio Institucional SénecaAttribution of early deaths associated with atmospheric emissions of different economic sectors in Colombia in the year 2018Trabajo de grado - Maestríainfo:eu-repo/semantics/masterThesishttp://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/TMContaminación del aireMaterial particuladoAerosoles atmosféricosEnfermedades respiratoriasCompuestos orgánicos volátilesIngenieríaPublicationhttps://scholar.google.es/citations?user=G9B2Y3YAAAAJvirtual::5274-1https://scholar.google.es/citations?user=R-90Ze4AAAAJvirtual::5275-10000-0002-5475-8605virtual::5274-10000-0002-5256-9587virtual::5275-1https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001545167virtual::5274-1https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000054160virtual::5275-1278128fd-6b54-4cc5-8938-5bee417e70f5virtual::5274-16e6cf9c5-2737-4ece-97fc-41cbe9d38f29virtual::5275-1278128fd-6b54-4cc5-8938-5bee417e70f5virtual::5274-16e6cf9c5-2737-4ece-97fc-41cbe9d38f29virtual::5275-1THUMBNAILu837628.pdf.jpgu837628.pdf.jpgIM Thumbnailimage/jpeg8011https://repositorio.uniandes.edu.co/bitstreams/10df4b08-6007-43e4-9da9-820bfeb04751/downloadc11573bc84a380534c6442166242f1f3MD55TEXTu837628.pdf.txtu837628.pdf.txtExtracted texttext/plain102038https://repositorio.uniandes.edu.co/bitstreams/29f15233-9c21-4ecd-997c-49bf1a074bc1/download140b04ee686e24d566351fceea259b52MD54ORIGINALu837628.pdfapplication/pdf7951898https://repositorio.uniandes.edu.co/bitstreams/1f13d739-c718-4f41-b9d7-be476dad722f/download5ce8a65fcfbb6b8074dfeee1eddfcf7dMD511992/49390oai:repositorio.uniandes.edu.co:1992/493902024-03-13 12:54:07.577https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfopen.accesshttps://repositorio.uniandes.edu.coRepositorio institucional Sénecaadminrepositorio@uniandes.edu.co |