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...
Guardado en:
Autores principales: | , , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/fa8f91f51fec4f7792bf129c3d3249b5 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:fa8f91f51fec4f7792bf129c3d3249b5 |
---|---|
record_format |
dspace |
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 |
work_keys_str_mv |
AT felipecifuentes comparisonoftopdownandbottomuproadtransportemissionsthroughhighresolutionairqualitymodelinginacityofcomplexorography AT carlosmgonzalez comparisonoftopdownandbottomuproadtransportemissionsthroughhighresolutionairqualitymodelinginacityofcomplexorography AT erikamtrejos comparisonoftopdownandbottomuproadtransportemissionsthroughhighresolutionairqualitymodelinginacityofcomplexorography AT luisdlopez comparisonoftopdownandbottomuproadtransportemissionsthroughhighresolutionairqualitymodelinginacityofcomplexorography AT franciscojsandoval comparisonoftopdownandbottomuproadtransportemissionsthroughhighresolutionairqualitymodelinginacityofcomplexorography AT oscaracuellar comparisonoftopdownandbottomuproadtransportemissionsthroughhighresolutionairqualitymodelinginacityofcomplexorography AT soniacmangones comparisonoftopdownandbottomuproadtransportemissionsthroughhighresolutionairqualitymodelinginacityofcomplexorography AT nestoryrojas comparisonoftopdownandbottomuproadtransportemissionsthroughhighresolutionairqualitymodelinginacityofcomplexorography AT beatrizharistizabal comparisonoftopdownandbottomuproadtransportemissionsthroughhighresolutionairqualitymodelinginacityofcomplexorography |
_version_ |
1718413055937740800 |