Articles | Volume 14, issue 3
https://doi.org/10.5194/essd-14-1359-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-1359-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
28 Mar 2022
Data description paper |
| 28 Mar 2022
| 28 Mar 2022
High-resolution spatial-distribution maps of road transport exhaust emissions in Chile, 1990–2020
Mauricio Osses
CORRESPONDING AUTHOR
Department of Mechanical Engineering, Universidad Técnica Federico Santa María (UTFSM), Santiago,
Chile
Center for Climate and Resilience Research (CR)2, Santiago, Chile
Néstor Rojas
Department of Chemical and Environmental Engineering, Universidad Nacional de Colombia (UNAL), Bogotá, Colombia
Cecilia Ibarra
Center for Climate and Resilience Research (CR)2, Santiago, Chile
Department of Geophysics, Universidad de Chile, Santiago, Chile
Víctor Valdebenito
Department of Mechanical Engineering, Universidad Técnica Federico Santa María (UTFSM), Santiago,
Chile
Ignacio Laengle
Department of Mechanical Engineering, Universidad Técnica Federico Santa María (UTFSM), Santiago,
Chile
Nicolás Pantoja
Department of Mechanical Engineering, Universidad Técnica Federico Santa María (UTFSM), Santiago,
Chile
Center for Climate and Resilience Research (CR)2, Santiago, Chile
Darío Osses
Department of Geophysics, Universidad de Chile, Santiago, Chile
Kevin Basoa
Center for Climate and Resilience Research (CR)2, Santiago, Chile
Sebastián Tolvett
Department of Mechanical Engineering, Universidad Tecnológica Metropolitana, Santiago, Chile
Nicolás Huneeus
Center for Climate and Resilience Research (CR)2, Santiago, Chile
Department of Geophysics, Universidad de Chile, Santiago, Chile
Laura Gallardo
Center for Climate and Resilience Research (CR)2, Santiago, Chile
Department of Geophysics, Universidad de Chile, Santiago, Chile
Benjamín Gómez
Department of Mechanical Engineering, Universidad Técnica Federico Santa María (UTFSM), Santiago,
Chile
Center for Climate and Resilience Research (CR)2, Santiago, Chile
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Cited
16 citations as recorded by crossref.
- Temporal assessment of emission inventory model for Indian heavy commercial vehicle segment – A top-down approach V. Bhalerao et al. 10.1016/j.ijtst.2024.01.005
- Decoupling Emission Reductions and Trade-Offs of Policies in Norway Based on a Bottom-Up Traffic Emission Model H. Grythe et al. 10.3390/atmos13081284
- Emission accounting and drivers in South American countries H. Peng et al. 10.1016/j.apenergy.2023.122528
- Spatially resolved hourly traffic emission over megacity Delhi using advanced traffic flow data A. Biswal et al. 10.5194/essd-15-661-2023
- The spatial and temporal disaggregation models of high-accuracy vehicle emission inventory H. Feng et al. 10.1016/j.envint.2023.108287
- Diesel passenger vehicle shares influenced COVID-19 changes in urban nitrogen dioxide pollution G. Kerr et al. 10.1088/1748-9326/ac7659
- SinoLC-1: the first 1 m resolution national-scale land-cover map of China created with a deep learning framework and open-access data Z. Li et al. 10.5194/essd-15-4749-2023
- Investigating the applicability of COPERT 5.5 emission software in Bangladesh and developing countrywide vehicular emission inventories S. Kawsar et al. 10.1039/D3EA00047H
- Road transport exhaust emissions in Colombia. 1990–2020 trends and spatial disaggregation N. Rojas et al. 10.1016/j.trd.2023.103780
- A novel spatial disaggregation model of vehicle emission inventory H. Feng et al. 10.1016/j.uclim.2024.101947
- Estimation of local pollutant and carbon dioxide emissions of road and rail transportation in the Philippines K. Vergel et al. 10.1016/j.eastsj.2024.100133
- Spatiotemporal modeling of air pollutant concentrations in Germany using machine learning V. Balamurugan et al. 10.5194/acp-23-10267-2023
- PAPILA dataset: a regional emission inventory of reactive gases for South America based on the combination of local and global information P. Castesana et al. 10.5194/essd-14-271-2022
- High-resolution spatial-distribution maps of road transport exhaust emissions in Chile, 1990–2020 M. Osses et al. 10.5194/essd-14-1359-2022
- High-resolution inventory of atmospheric emissions from transport, industrial, energy, mining and residential activities in Chile N. Álamos et al. 10.5194/essd-14-361-2022
- Estimating CO<sub>2</sub> emissions for 108 000 European cities D. Moran et al. 10.5194/essd-14-845-2022
12 citations as recorded by crossref.
- Temporal assessment of emission inventory model for Indian heavy commercial vehicle segment – A top-down approach V. Bhalerao et al. 10.1016/j.ijtst.2024.01.005
- Decoupling Emission Reductions and Trade-Offs of Policies in Norway Based on a Bottom-Up Traffic Emission Model H. Grythe et al. 10.3390/atmos13081284
- Emission accounting and drivers in South American countries H. Peng et al. 10.1016/j.apenergy.2023.122528
- Spatially resolved hourly traffic emission over megacity Delhi using advanced traffic flow data A. Biswal et al. 10.5194/essd-15-661-2023
- The spatial and temporal disaggregation models of high-accuracy vehicle emission inventory H. Feng et al. 10.1016/j.envint.2023.108287
- Diesel passenger vehicle shares influenced COVID-19 changes in urban nitrogen dioxide pollution G. Kerr et al. 10.1088/1748-9326/ac7659
- SinoLC-1: the first 1 m resolution national-scale land-cover map of China created with a deep learning framework and open-access data Z. Li et al. 10.5194/essd-15-4749-2023
- Investigating the applicability of COPERT 5.5 emission software in Bangladesh and developing countrywide vehicular emission inventories S. Kawsar et al. 10.1039/D3EA00047H
- Road transport exhaust emissions in Colombia. 1990–2020 trends and spatial disaggregation N. Rojas et al. 10.1016/j.trd.2023.103780
- A novel spatial disaggregation model of vehicle emission inventory H. Feng et al. 10.1016/j.uclim.2024.101947
- Estimation of local pollutant and carbon dioxide emissions of road and rail transportation in the Philippines K. Vergel et al. 10.1016/j.eastsj.2024.100133
- Spatiotemporal modeling of air pollutant concentrations in Germany using machine learning V. Balamurugan et al. 10.5194/acp-23-10267-2023
4 citations as recorded by crossref.
- PAPILA dataset: a regional emission inventory of reactive gases for South America based on the combination of local and global information P. Castesana et al. 10.5194/essd-14-271-2022
- High-resolution spatial-distribution maps of road transport exhaust emissions in Chile, 1990–2020 M. Osses et al. 10.5194/essd-14-1359-2022
- High-resolution inventory of atmospheric emissions from transport, industrial, energy, mining and residential activities in Chile N. Álamos et al. 10.5194/essd-14-361-2022
- Estimating CO<sub>2</sub> emissions for 108 000 European cities D. Moran et al. 10.5194/essd-14-845-2022
Latest update: 29 Jun 2024
Short summary
This paper presents a detailed estimate of on-road vehicle emissions for Chile, between 1990–2020, and an analysis of emission trends for greenhouse gases and local pollutants. Data are disaggregated by type of vehicle and region at 0.01° × 0.01°. While the vehicle fleet grew 5-fold, CO2 emissions increased at a lower rate and local pollutants decreased. These trends can be explained by changes in improved vehicle technologies, better fuel quality and enforcement of emission standards.
This paper presents a detailed estimate of on-road vehicle emissions for Chile, between...
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