Comparison of Top-Down and Bottom-Up Road Transport Emissions through High-Resolution Air Quality Modeling in a City of Complex Orography

Vehicular emissions are a predominant source of pollution in urban environments. However, inherent complexities of vehicular behavior are sources of uncertainties in emission inventories (EIs). We compare bottom-up and top-down approaches for estimating road transport EIs in Manizales, Colombia. The...

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Autores principales: Felipe Cifuentes, Carlos M. González, Erika M. Trejos, Luis D. López, Francisco J. Sandoval, Oscar A. Cuellar, Sonia C. Mangones, Néstor Y. Rojas, Beatriz H. Aristizábal
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/fa8f91f51fec4f7792bf129c3d3249b5
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spelling oai:doaj.org-article:fa8f91f51fec4f7792bf129c3d3249b52021-11-25T16:43:51ZComparison of Top-Down and Bottom-Up Road Transport Emissions through High-Resolution Air Quality Modeling in a City of Complex Orography10.3390/atmos121113722073-4433https://doaj.org/article/fa8f91f51fec4f7792bf129c3d3249b52021-10-01T00:00:00Zhttps://www.mdpi.com/2073-4433/12/11/1372https://doaj.org/toc/2073-4433Vehicular emissions are a predominant source of pollution in urban environments. However, inherent complexities of vehicular behavior are sources of uncertainties in emission inventories (EIs). We compare bottom-up and top-down approaches for estimating road transport EIs in Manizales, Colombia. The EIs were estimated using a COPERT model, and results from both approaches were also compared with the official top-down EI (estimated from IVE methodology). The transportation model PTV-VISUM was used for obtaining specific activity information (traffic volumes, vehicular speed) in bottom-up estimation. Results from COPERT showed lower emissions from the top-down approach than from the bottom-up approach, mainly for NMVOC (−28%), PM<sub>10</sub> (−26%), and CO (−23%). Comparisons showed that COPERT estimated lower emissions than IVE, with higher differences than 40% for species such as PM<sub>10</sub>, NO<sub>X</sub>, and CH<sub>4</sub>. Furthermore, the WRF–Chem model was used to test the sensitivity of CO, O<sub>3</sub>, PM<sub>10</sub>, and PM<sub>2.5</sub> predictions to the different EIs evaluated. All studied pollutants exhibited a strong sensitivity to the emission factors implemented in EIs. The COPERT/top-down was the EI that produced more significant errors. This work shows the importance of performing bottom-up EI to reduce the uncertainty regarding top-down activity data.Felipe CifuentesCarlos M. GonzálezErika M. TrejosLuis D. LópezFrancisco J. SandovalOscar A. CuellarSonia C. MangonesNéstor Y. RojasBeatriz H. AristizábalMDPI AGarticleroad transport emissiontop-down approachbottom-up approachair quality modelingmedium-sized Andean citiescomplex orography cityMeteorology. ClimatologyQC851-999ENAtmosphere, Vol 12, Iss 1372, p 1372 (2021)
institution DOAJ
collection DOAJ
language EN
topic road transport emission
top-down approach
bottom-up approach
air quality modeling
medium-sized Andean cities
complex orography city
Meteorology. Climatology
QC851-999
spellingShingle road transport emission
top-down approach
bottom-up approach
air quality modeling
medium-sized Andean cities
complex orography city
Meteorology. Climatology
QC851-999
Felipe Cifuentes
Carlos M. González
Erika M. Trejos
Luis D. López
Francisco J. Sandoval
Oscar A. Cuellar
Sonia C. Mangones
Néstor Y. Rojas
Beatriz H. Aristizábal
Comparison of Top-Down and Bottom-Up Road Transport Emissions through High-Resolution Air Quality Modeling in a City of Complex Orography
description Vehicular emissions are a predominant source of pollution in urban environments. However, inherent complexities of vehicular behavior are sources of uncertainties in emission inventories (EIs). We compare bottom-up and top-down approaches for estimating road transport EIs in Manizales, Colombia. The EIs were estimated using a COPERT model, and results from both approaches were also compared with the official top-down EI (estimated from IVE methodology). The transportation model PTV-VISUM was used for obtaining specific activity information (traffic volumes, vehicular speed) in bottom-up estimation. Results from COPERT showed lower emissions from the top-down approach than from the bottom-up approach, mainly for NMVOC (−28%), PM<sub>10</sub> (−26%), and CO (−23%). Comparisons showed that COPERT estimated lower emissions than IVE, with higher differences than 40% for species such as PM<sub>10</sub>, NO<sub>X</sub>, and CH<sub>4</sub>. Furthermore, the WRF–Chem model was used to test the sensitivity of CO, O<sub>3</sub>, PM<sub>10</sub>, and PM<sub>2.5</sub> predictions to the different EIs evaluated. All studied pollutants exhibited a strong sensitivity to the emission factors implemented in EIs. The COPERT/top-down was the EI that produced more significant errors. This work shows the importance of performing bottom-up EI to reduce the uncertainty regarding top-down activity data.
format article
author Felipe Cifuentes
Carlos M. González
Erika M. Trejos
Luis D. López
Francisco J. Sandoval
Oscar A. Cuellar
Sonia C. Mangones
Néstor Y. Rojas
Beatriz H. Aristizábal
author_facet Felipe Cifuentes
Carlos M. González
Erika M. Trejos
Luis D. López
Francisco J. Sandoval
Oscar A. Cuellar
Sonia C. Mangones
Néstor Y. Rojas
Beatriz H. Aristizábal
author_sort Felipe Cifuentes
title Comparison of Top-Down and Bottom-Up Road Transport Emissions through High-Resolution Air Quality Modeling in a City of Complex Orography
title_short Comparison of Top-Down and Bottom-Up Road Transport Emissions through High-Resolution Air Quality Modeling in a City of Complex Orography
title_full Comparison of Top-Down and Bottom-Up Road Transport Emissions through High-Resolution Air Quality Modeling in a City of Complex Orography
title_fullStr Comparison of Top-Down and Bottom-Up Road Transport Emissions through High-Resolution Air Quality Modeling in a City of Complex Orography
title_full_unstemmed Comparison of Top-Down and Bottom-Up Road Transport Emissions through High-Resolution Air Quality Modeling in a City of Complex Orography
title_sort comparison of top-down and bottom-up road transport emissions through high-resolution air quality modeling in a city of complex orography
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/fa8f91f51fec4f7792bf129c3d3249b5
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