Preprints
https://doi.org/10.5194/acp-2022-691
https://doi.org/10.5194/acp-2022-691
 
02 Nov 2022
02 Nov 2022
Status: this preprint is currently under review for the journal ACP.

Development of a CMAQ-PMF-based composite index for prescribing an effective ozone abatement strategy: A case study of sensitivity of surface ozone to precursor VOC species in southern Taiwan

Jackson Hian-Wui Chang1,2, Stephen M. Griffith1,a, Steven Soon-Kai Kong1, Ming-Tung Chuang3, and Neng-Huei Lin1,4 Jackson Hian-Wui Chang et al.
  • 1Department of Atmospheric Sciences, National Central University, Taoyuan, 32001, Taiwan
  • 2Preparatory Center for Science and Technology, University Malaysia Sabah, Jalan UMS, 88400, Kota Kinabalu, Sabah, Malaysia
  • 3Research Center for Environmental Changes, Academia Sinica, Taipei 11529, Taiwan
  • 4Center for Environmental Monitoring and Technology, National Central University, Taoyuan, 32001, Taiwan
  • aPresently affiliated with Department of Atmospheric Sciences, National Taiwan University, Taipei 10617, Taiwan

Abstract. Photochemical ozone pollution is a serious air quality problem under weak synoptic conditions in many areas worldwide. Volatile organic compounds (VOCs) are largely responsible for ozone production in urban areas where NOx mixing ratios are high while usually not a limiting precursor to ozone. In this study, the Community Multiscale Air Quality model – Higher-order Direct Decoupled Method (CMAQ-HDDM) at an urban-scale resolution (1.0 km x 1.0 km) in conjunction with positive matrix factorization (PMF) was used to identify the dominant sources of highly sensitive VOC species to ozone formation in southern Taiwan, a complex region of coastal urban and industrial parks and inland mountainous areas. First-order, second-order and cross sensitivities of ozone concentrations to domain-wide (i.e. urban, suburban and rural) NOx and VOC emissions were determined for the study area. Negative (positive) first-order sensitivities to NOx emissions are dominant over urban (inland) areas, confirming ozone production sensitivity favors the VOC-limited regime (NOx-limited regime) in southern Taiwan. Furthermore, most of the urban areas also exhibited negative second-order sensitivity to NOx emissions, indicating a negative O3 convex response where the linear increase of O3 from decreasing NOx emissions was largely attenuated by the non-linear effects. Due to the solidly VOC-limited regime and the relative insensitivity of O3 production to increases or decreases of NOx emissions, this study pursued the VOC species that contributed the most to ozone formation. PMF analysis driven by VOCs resolved 8 factors including mixed industry (21 %), vehicle emissions (22 %), solvent usage (17 %), biogenic (12 %), plastic industry (10 %), aged air mass (7 %), motorcycle exhausts (7 %), and manufacturing industry (5 %). Furthermore, a composite index that quantitatively combined the CMAQ-HDDM sensitivity coefficient and PMF resolved factor contribution, was developed to identify the key VOC species that should be targeted for effective ozone abatement. Our results indicate that VOC control measures should target on (1) solvent usage for painting, coating and the printing industry, which emits abundant toluene and xylene, (2) gasoline fuel vehicle emissions of n-butane, isopentane, isobutane and n-pentane, and (3) ethylene and propylene emissions from the petrochemical industry.

Jackson Hian-Wui Chang et al.

Status: open (until 14 Dec 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Jackson Hian-Wui Chang et al.

Jackson Hian-Wui Chang et al.

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Short summary
A novel CMAQ-PMF-based composite index is developed to identify the key VOC source-species for effective ozone abatement strategy. The index provides information as to which VOC species are key to ozone formation and where to reduce sources of these VOC species. Using the composite index, we recommended the VOC control measures in southern Taiwan should prioritize solvent usage, vehicle emissions and petrochemical industry.
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