Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Atmos. Chem. Phys., 17, 6565-6581, 2017
https://doi.org/10.5194/acp-17-6565-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
02 Jun 2017
Regional background O3 and NOx in the Houston–Galveston–Brazoria (TX) region: a decadal-scale perspective
Loredana G. Suciu1, Robert J. Griffin2, and Caroline A. Masiello1 1Department of Earth Science, Rice University, Houston, 77005, USA
2Department of Civil and Environmental Engineering, Rice University, Houston, 77005, USA
Abstract. Ozone (O3) in the lower troposphere is harmful to people and plants, particularly during summer, when photochemistry is most active and higher temperatures favor local chemistry. Local precursor emissions, such as those of volatile organic compounds (VOCs) and nitrogen oxides (NOx), together with their chemistry contribute to the O3 and NOx mixing ratios in the Houston–Galveston–Brazoria (HGB) region. In addition to local emissions, chemistry and transport, larger-scale factors also contribute to local O3 and NOx. These additional contributions (often referred to as regional background) are not well quantified within the HGB region, impeding more efficient controls on precursor emissions to achieve compliance with the National Ambient Air Quality Standards for O3. In this study, we estimate ground-level regional background O3 and NOx in the HGB region and quantify their decadal-scale trends.

We use four different approaches based on principal component analysis (PCA) to quantify background O3 and NOx. Three of these approaches consist of independent PCA on both O3 and NOx for both 1 and 8 h levels to compare our results with previous studies and to highlight the effect of both temporal and spatial scales. In the fourth approach, we co-varied O3, NOx and meteorology.

Our results show that the estimation of regional background O3 has less inherent uncertainty when it was constrained by NOx and meteorology, yielding a statistically significant temporal trend of −0.68 ± 0.27 ppb yr−1. Likewise, the estimation of regional background NOx trend constrained by O3 and meteorology was −0.04 ± 0.02 ppb yr−1 (upper bound) and −0.03 ± 0.01 ppb yr−1 (lower bound). Our best estimates of the 17-year average of season-scale background O3 and NOx were 46.72 ± 2.08 ppb and 6.80 ± 0.13 ppb (upper bound) or 4.45 ± 0.08 ppb (lower bound), respectively. Average background O3 is consistent with previous studies and between the approaches used in this study, although the approaches based on 8 h averages likely overestimate background O3 compared to the hourly median approach by 7–9 ppb. Similarly, the upper bound of average background NOx is consistent between approaches in this study (A–C) but overestimated compared to the hourly approach by 1 ppb, on average. We likely overestimate the upper-bound background NOx due to instrument overdetection of NOx and the 8 h averaging of NOx and meteorology coinciding with MDA8 O3.

Regional background O3 and NOx in the HGB region both have declined over the past 2 decades. This decline became steadier after 2007, overlapping with the effects of controlling precursor emissions and a prevailing southeasterly–southerly flow.

Citation: Suciu, L. G., Griffin, R. J., and Masiello, C. A.: Regional background O3 and NOx in the Houston–Galveston–Brazoria (TX) region: a decadal-scale perspective, Atmos. Chem. Phys., 17, 6565-6581, https://doi.org/10.5194/acp-17-6565-2017, 2017.

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Short summary
Understanding of the variability of ozone (O3) in space and time is essential to the design of efficient air quality controls. We used statistical analysis of O3, nitrogen oxides (NOx) and weather measurements to estimate the large-scale contributions of O3 and NOx in southeastern Texas. We found that these “external” contributions have declined over time, likely due to a combination of controls on O3 precursors and increases in the frequency of prevailing southerly flow from the Gulf of Mexico.
Understanding of the variability of ozone (O3) in space and time is essential to the design of...
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