Conciliation of top-down and bottom-up methodologies to estimate mobile source emissions in Bogota, Colombia

• 发表在: Tecnura
• Main Authors: Luis Gabriel Carmona Aparicio, Mauricio Alexander Rincón Pérez, Andrés Mauricio Castillo Robles, Boris René Galvis Remolina, Hugo Enrique Sáenz Pulido, Rodrigo Alberto Manrique Forero, Jorge Eduardo Pachón Quinche
• 格式: 文件
• 语言: 西班牙语
• 出版: Universidad Distrital Francisco Jose de Caldas 2016-09-01
• 主题: contaminación atmosférica, desagregación espacio-temporal, modelación ambiental, modelación de calidad del aire.
• 在线阅读: http://revistas.udistrital.edu.co/ojs/index.php/Tecnura/article/view/10972

Aim: This study presents the reconciliation of inventories of mobile emission in Bogota in 2013, applying top-down and bottom-up methodologies. Method: It was conducted  a comparison of emissions from different vehicle categories as well as the geographical and temporal distribution of them, by creating a processing code in JAVA. The process employed the largest amount of information available from the authorities of the Capital District, and previous studies. The innovation of this research is the estimation of the traffic flows in secondary roads. It was made from an algorithm that considers road geometry, interaction between arterial and secondary roads, and legal restrictions on traffic. Results: The results show the estimated emissions for pollutants CO, CO2, VOCs, NOx, SO2 and PM, and its comparison with other studies for the city. The values obtained can be classified as minimum and maximum references of the emissions generated in 2013, due to data uncertainty. Conclusions: The project provides an upmost useful tool as input for the authorities in order to identify areas with significant emissions and to develop strategies for emissions reduction, towards improving the air quality of citizens. This method can be replicated in the generation of protocols for estimating emissions from mobile sources but results need to be carefully reviewed given the quality of information sources.