Addressing underestimated carbon monoxide emissions in Taiwan using CMAQ and impacts on local ozone concentration

Emission inventories play a crucial role in understanding and managing air quality. This research centers on carbon monoxide (CO), a low-reactivity species with a lifetime of 2 months, acting as a tracer for local pollutants. The investigation delves into the potential uncertainties within its emissions and the impacts. CO is significantly underestimated in the current air quality model using Taiwan Emission Data System 9.0 (TEDS 9.0) for Taiwan. The present CMAQ simulation underestimates CO in Taiwan by a factor of ∼3 compared to observations. With the minimum root mean square error (RMSE) analysis between simulation and observation, the optimal emission correction factors are estimated as 2, 4, and 3.6 for northern, central, and southern Taiwan, respectively. The simulated underestimation of CO concentrations, coupled with relatively consistent NOx concentrations compared to observations, might indicate possible uncertainties in emission sources, especially for sources with high CO/NOx ratios, such as vehicles. This discrepancy further suggests the possibility of underestimating other combustion chemical species, such as volatile organic compounds (VOCs), which are not adequately quantified in the ambient environment. Our findings indicate that the adjustment would increase local O 3 concentration (up to 3 ppbv), with a minor decreased influence on NOx (less than 0.5 ppbv), underscoring the importance of accurate emission inventories in air quality modeling and the reassessment of the validity of CO and NOx emissions in a NOx-saturated environment. Our analysis of the potential emission sources highlights the importance of implementing stricter local emission controls and monitoring. • CO emissions in Taiwan significantly underestimated (2.4-4x) in current model. • Weaker synoptic conditions associated with higher pollutant concentrations. • Adjustments of CO increase local O 3 (up to 3 ppbv), minor impact on NOx. • Underestimation of CO likely due to the uncertainty of vehicle pollution sources.

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Journal
Atmospheric Environment X
Published
2025-04-01
DOI
https://doi.org/10.1016/j.aeaoa.2025.100325
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
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article

Addressing underestimated carbon monoxide emissions in Taiwan using CMAQ and impacts on local ozone concentration

John C. Lin, Hui‐Ming Hung, Chieh-Sen Tsai, Hsin‐Chih Lai et al.
1 links
Atmospheric Environment X
Air Quality and Health Impacts
article

Addressing underestimated carbon monoxide emissions in Taiwan using CMAQ and impacts on local ozone concentration

John C. Lin, Hui‐Ming Hung, Chieh-Sen Tsai, Hsin‐Chih Lai, Ping-Chieh Huang
article en

Abstract

Emission inventories play a crucial role in understanding and managing air quality. This research centers on carbon monoxide (CO), a low-reactivity species with a lifetime of 2 months, acting as a tracer for local pollutants. The investigation delves into the potential uncertainties within its emissions and the impacts. CO is significantly underestimated in the current air quality model using Taiwan Emission Data System 9.0 (TEDS 9.0) for Taiwan. The present CMAQ simulation underestimates CO in Taiwan by a factor of ∼3 compared to observations. With the minimum root mean square error (RMSE) analysis between simulation and observation, the optimal emission correction factors are estimated as 2, 4, and 3.6 for northern, central, and southern Taiwan, respectively. The simulated underestimation of CO concentrations, coupled with relatively consistent NOx concentrations compared to observations, might indicate possible uncertainties in emission sources, especially for sources with high CO/NOx ratios, such as vehicles. This discrepancy further suggests the possibility of underestimating other combustion chemical species, such as volatile organic compounds (VOCs), which are not adequately quantified in the ambient environment. Our findings indicate that the adjustment would increase local O 3 concentration (up to 3 ppbv), with a minor decreased influence on NOx (less than 0.5 ppbv), underscoring the importance of accurate emission inventories in air quality modeling and the reassessment of the validity of CO and NOx emissions in a NOx-saturated environment. Our analysis of the potential emission sources highlights the importance of implementing stricter local emission controls and monitoring. • CO emissions in Taiwan significantly underestimated (2.4-4x) in current model. • Weaker synoptic conditions associated with higher pollutant concentrations. • Adjustments of CO increase local O 3 (up to 3 ppbv), minor impact on NOx. • Underestimation of CO likely due to the uncertainty of vehicle pollution sources.

Atmospheric Environment XVol. 26
National Taiwan University (TW), University of Utah (US), Chang Jung Christian University (TW)
Climate action
Openalex Percentile: Top 91%
Air Quality and Health Impacts
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