Future-year ozone prediction for the United States using updated models and inputs

Collet, Susan; Kidokoro, Toru; Karamchandani, Prakash; Shah, Tejas; Jung, Jaegun

doi:10.1080/10962247.2017.1310149

Cited by 14 publications

(11 citation statements)

References 19 publications

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“…Fujita et al [34] in their study of source contributions of ozone precursors in California's South Coast Air Basin to ozone weekday and weekend variation showed that reduced NO x emission of weekend emission from motor vehicle caused higher level of ozone than during the weekday due to the higher ratio of NMHC (non-methane hydrocarbon) to NO x in this VOC-limited basin. Conversely, Collet et al [35] in their study of ozone source attribution and sensitivity analysis across the U.S showed that, in most of the locations, reduction in NO x emission is more effective than reduction in VOC emission in reducing ozone levels.…”

Section: Discussionmentioning

confidence: 92%

Source Contributions to Ozone Formation in the New South Wales Greater Metropolitan Region, Australia

Chang

Trieu

et al. 2018

Atmosphere

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Ozone and fine particles (PM2.5) are the two main air pollutants of concern in the New South Wales Greater Metropolitan Region (NSW GMR) due to their contribution to poor air quality days in the region. This paper focuses on source contributions to ambient ozone concentrations for different parts of the NSW GMR, based on source emissions across the greater Sydney region. The observation-based Integrated Empirical Rate model (IER) was applied to delineate the different regions within the GMR based on the photochemical smog profile of each region. Ozone source contribution was then modelled using the CCAM-CTM (Cubic Conformal Atmospheric model-Chemical Transport model) modelling system and the latest air emission inventory for the greater Sydney region. Source contributions to ozone varied between regions, and also varied depending on the air quality metric applied (e.g., average or maximum ozone). Biogenic volatile organic compound (VOC) emissions were found to contribute significantly to median and maximum ozone concentration in North West Sydney during summer. After commercial and domestic sources, power generation was found to be the next largest anthropogenic source of maximum ozone concentrations in North West Sydney. However, in South West Sydney, beside commercial and domestic sources, on-road vehicles were predicted to be the most significant contributor to maximum ozone levels, followed by biogenic sources and power stations. The results provide information that policy makers can use to devise various options to control ozone levels in different parts of the NSW Greater Metropolitan Region.

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Section: Discussionmentioning

confidence: 92%

Source Contributions to Ozone Formation in the New South Wales Greater Metropolitan Region, Australia

Chang

Trieu

et al. 2018

Atmosphere

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“…The modeling domain was the same as used in the CAMx source attribution study of Collet et al (2017). This domain, shown in Figure 1, is the 12US2 domain used by the EPA for its ozone assessment using the 2011based air quality modeling platform (EPA 2015).…”

Section: Modeling Approachmentioning

confidence: 99%

“…As in our previous CAMx source attribution study (Collet et al 2017), only the anthropogenic sectors from the 2011v6.2 platform were used and the natural source category emissions were developed. Emissions for the natural source categories were developed using the 2011 meteorological data and models for the 12 km (12US2) domain in a format suitable for CMAQ.…”

Section: Modeling Approachmentioning

confidence: 99%

“…Previous studies by the authors have used the Ozone and Particulate Matter Source Apportionment Technology (OSAT/PSAT) and Higher-order Decoupled Direct Method (HDDM) probing tools in CAMx to investigate these source-receptor relationships for ozone (Collet et al 2017). Until recently, CMAQ did not include a source apportionment tool similar to the OSAT tool in CAMx.…”

Section: Introductionmentioning

confidence: 99%

“…The availability of a source apportionment tool in a recent version of CMAQ (CMAQ 5.0.2) provides an opportunity to compare results from two different source apportionment approaches in two different models. The CMAQ source apportionment method, referred to as the Integrated Source Apportionment Method (ISAM) (Kwok et al 2015;Kwok, Napelenok, and Baker 2013), was used in this study, and the results were compared with previous source apportionment modeling studies conducted with CAMx (Collet et al 2017).…”

Section: Introductionmentioning

confidence: 99%

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Future year ozone source attribution modeling study using CMAQ-ISAM

Collet

Kidokoro

Karamchandani³

et al. 2018

Journal of the Air & Waste Management Association

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To achieve the current United States National Ambient Air Quality Standards (NAAQS) attainment level for ozone or particulate matter, current photochemical air quality models include tools to determine source apportionment and/or source sensitivity. Previous studies by the authors have used the Ozone and Particulate Matter Source Apportionment Technology and Higher-order Decoupled Direct Method probing tools in CAMx to investigate these source-receptor relationships for ozone. The recently available source apportionment for CMAQ, referred to as the Integrated Source Apportionment Method (ISAM), was used in this study to conduct future year (2030) source attribution modeling. The CMAQ-ISAM ozone source attribution results for selected cities across the U.S. showed boundary conditions were the dominant contributor to the future year highest July maximum daily 8-hour average (MDA8) ozone concentrations. Point sources were generally larger contributors in the eastern U.S. than in the western U.S. The contributions of on-road mobile emissions were around 5 ppb at most of the cities selected for analysis. Off-road mobile source contributions were around 20 ppb or nearly 30%. Since boundary conditions play an important role in future year ozone levels, it is important to characterize future year boundary conditions accurately. The current implementation of ISAM in CMAQ 5.0.2 requires significant computing resources for ozone source attribution, making it difficult to conduct long-term simulations for large domains. The computing requirements for PM source attribution are even more onerous. CMAQ 5.2 was released after this study was completed, and does not include ISAM. If an efficient version of ISAM becomes available, it could be used in long-term ozone and PM2.5 studies. Implications: Ozone source attribution results provide useful information on important emission source contribution categories and provide some initial guidance on future emission reduction strategies. This study explains a new source apportionment technique, CMAQ-ISAM, and compares it to CAMx OSAT. The techniques have similar results: ozone's highest source contributor is boundary conditions, followed by point sources, then off-road mobile sources. The current version of ISAM in CMAQ 5.0.2 requires significant computing resources for ozone source attribution, while the computing requirements for PM source attribution are even more onerous. CMAQ 5.2 was released after this study was completed, and does not include ISAM.

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Ozone Concentration Forecasting Based on Artificial Intelligence Techniques: A Systematic Review

Yafouz

Ahmed

Zaini

et al. 2021

Water Air Soil Pollut

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Future-year ozone prediction for the United States using updated models and inputs

Cited by 14 publications

References 19 publications

Source Contributions to Ozone Formation in the New South Wales Greater Metropolitan Region, Australia

Source Contributions to Ozone Formation in the New South Wales Greater Metropolitan Region, Australia

Future year ozone source attribution modeling study using CMAQ-ISAM

Ozone Concentration Forecasting Based on Artificial Intelligence Techniques: A Systematic Review

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