Air quality modeling in Bogotá, Colombia using local emissions and natural mitigation factor adjustment for re-suspended particulate matter

Nedbor-Gross, Robert; Henderson, Barron H.; Pérez-Peña, Maria Paula; Pachón, Jorge E.

doi:10.1016/j.apr.2017.07.004

Cited by 23 publications

(15 citation statements)

References 15 publications

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“…The MEGAN's set-up and results are described in Nedbor-Gross et al [34]. The GloBEIS model that was implemented here is similar to previous work [35].…”

Section: Biogenic Emissionsmentioning

confidence: 83%

“…Given that RPM constitutes 90% of PM10 emissions, it is likely that RPM emissions are overestimated using the AP-42 (Chapter 13) methodology. Further research is underway to design and apply an adjustment factor that considers the effects of precipitation, relative humidity, and land use in the reduction of RPM emissions [34,55]. Additionally, the model evaluation of the specific PM10 components is desirable, but currently, no PM10 chemical composition is available for the city.…”

Section: Evaluation Of Modeling Resultsmentioning

confidence: 99%

“…The model evaluation for each simulated period is available elsewhere [34]. Figure 8a shows a quantile-quantile (QQ) plot for 24-h average PM10 concentrations.…”

Section: Evaluation Of Modeling Resultsmentioning

confidence: 99%

“…The model simulates aerosols using ISORROPIA (v2.1) for inorganic thermodynamic partitioning, and AERO6 treatment for organic aerosols [47]. The full description of the modeling system is found in Nedbor-Gross et al [34]. The anthropogenic emissions for the outer domains were from the Emissions Database for Global Atmospheric Research (EDGARv3).…”

Section: Modeling Set-upmentioning

confidence: 99%

“…The full description of the modeling system is found in Nedbor-Gross et al [34]. Briefly, meteorological modeling has been performed for Bogotá using the Weather Research and Forecasting (WRF) model [44].…”

Section: Modeling Set-upmentioning

confidence: 99%

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Development and Evaluation of a Comprehensive Atmospheric Emission Inventory for Air Quality Modeling in the Megacity of Bogotá

et al. 2018

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Abstract:We built an emission inventory (EI) for the megacity of Bogotá, Colombia for 2012, which for the first time augments traditional industrial and mobile sources by including commercial sources, biogenic sources, and resuspended dust. We characterized the methodologies for estimating each source annually, and allocated the sources to hourly and 1 km 2 spatial resolution for use as inputs for air quality modeling purposes. A resuspended particulate matter (RPM) emission estimate was developed using the first measurements of road dust loadings and silt content for the city. Results show that mobile sources dominate emissions of CO 2 (80%), CO (99%), VOC (68%), NO x (95%), and SO 2 (85%). However, the newly estimated RPM comprises 90% of total PM 10 emissions, which are at least onefold larger than the PM 10 emissions from combustion processes. The 2012 EI was implemented in a chemical transport model (CTM) in order to understand the pollutants' fate and transport. Model evaluation was conducted against observations from the city's air quality monitoring network in two different periods. Modeling results for O 3 concentrations showed a good agreement, with mean fractional bias (MFB) of +11%, and a mean fractional error (MFE) of +35% with observations, but simulated PM 10 concentrations were strongly biased high (MFB +57%, MFE +68%), which was likely due to RPM emissions being overestimated. NO x , CO, and SO 2 were also biased high by the model, which was probably due to emissions not reflecting current fleet conditions. Future work aims to revise emission factors for mobile sources, which are the main sources of pollutants to the atmosphere.

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“…The MEGAN's set-up and results are described in Nedbor-Gross et al [34]. The GloBEIS model that was implemented here is similar to previous work [35].…”

Section: Biogenic Emissionsmentioning

confidence: 83%

Section: Evaluation Of Modeling Resultsmentioning

confidence: 99%

“…The model evaluation for each simulated period is available elsewhere [34]. Figure 8a shows a quantile-quantile (QQ) plot for 24-h average PM10 concentrations.…”

Section: Evaluation Of Modeling Resultsmentioning

confidence: 99%

Section: Modeling Set-upmentioning

confidence: 99%

Section: Modeling Set-upmentioning

confidence: 99%

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Development and Evaluation of a Comprehensive Atmospheric Emission Inventory for Air Quality Modeling in the Megacity of Bogotá

et al. 2018

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On the mathematical modelling and data assimilation for air pollution assessment in the Tropical Andes

Montoya

Niño-Ruiz

Pinel

2020

Environ Sci Pollut Res

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Air pollution assessment in the Tropical Andes requires a multidisciplinary approach. This can be supported from the understanding of the underlying biological dynamics and atmospheric behavior, to the mathematical approach for the proper use of all available information. This review paper touches on several aspects in which mathematical models can help to solve challenging problems regarding air pollution in reviewing the state-of-the-art at the global level and assessing the corresponding state of development as applied to the Tropical Andes. We address the complexities and challenges that modelling atmospheric dynamics in a mega-diverse region with abrupt topography entails. Understanding the relevance of monitoring and facing the problems of data scarcity, we call attention to the usefulness of data assimilation for uncertainty reduction, and how these techniques could help tackle the scarcity of regional monitoring networks to accelerate the implementation and development of modelling systems for air quality in the Tropical Andes. Finally, we suggest a cyberphysical framework for decision-making processes based on the data assimilation of chemical transport models, the forecast of scenarios, and their use in regulation and policy making.

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Air pollution emission effects of changes in transport supply: the case of Bogotá, Colombia

Mangones

Jaramillo

Rojas

et al. 2020

Environ Sci Pollut Res

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Air quality modeling in Bogotá, Colombia using local emissions and natural mitigation factor adjustment for re-suspended particulate matter

Cited by 23 publications

References 15 publications

Development and Evaluation of a Comprehensive Atmospheric Emission Inventory for Air Quality Modeling in the Megacity of Bogotá

Development and Evaluation of a Comprehensive Atmospheric Emission Inventory for Air Quality Modeling in the Megacity of Bogotá

On the mathematical modelling and data assimilation for air pollution assessment in the Tropical Andes

Air pollution emission effects of changes in transport supply: the case of Bogotá, Colombia

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