Literature DB >> 32749924

Assessing the manageable portion of ground-level ozone in the contiguous United States.

Huiying Luo1, Marina Astitha1, S Trivikrama Rao1,2, Christian Hogrefe3, Rohit Mathur3.   

Abstract

Regional air quality models are widely being used to understand the spatial extent and magnitude of the ozone non-attainment problem and to design emission control strategies needed to comply with the relevant ozone standard through direct emission perturbations. In this study, we examine the manageable portion of ground-level ozone using two simulations of the Community Multiscale Air Quality (CMAQ) model for the year 2010 and a probabilistic analysis approach involving 29 years (1990-2018) of historical ozone observations. The modeling results reveal that the reduction in the peak ozone levels from total elimination of anthropogenic emissions within the model domain is around 13-21 ppb for the 90th-100th percentile range of the daily maximum 8-hr ozone concentrations across the contiguous United States (CONUS). Large reductions in the 4th highest 8-hr ozone are seen in the regions of West (interquartile range (IQR) of 17-33%), South (IQR 22-34%), Central (IQR 19-31%), Southeast (IQR 25-34%), and Northeast (IQR 24-37%). However, sites in the western portion of the domain generally show smaller reductions even when all anthropogenic emissions are removed, possibly due to the strong influence of global background ozone, including sources such as intercontinental ozone transport, stratospheric ozone intrusions, wildfires, and biogenic precursor emissions. Probabilistic estimates of the exceedances for several hypothetical thresholds of the 4th highest 8-hr ozone indicate that, in some areas, exceedances of such hypothetical thresholds may occur even with no anthropogenic emissions due to the ever-present atmospheric stochasticity and the current global tropospheric ozone burden. Implications: Because air pollution is intricately linked to adverse health effects, National Ambient Air Quality Standards (NAAQS) have been established for criteria pollutants to safeguard human health and the environment. Areas not in compliance with the relevant standards are required to develop plans and policies to reduce their air pollution levels. Regional-scale air quality models are currently being used routinely to inform policies to identify the emissions reduction required to meet and maintain the NAAQS throughout the country. This paper examines the feasibility of the 4th highest ozone, which is used to derive the ozone design value for NAAQS, complying with various current and hypothetical 8-hr ozone thresholds over CONUS based on the information embedded in 29 years of historical ozone observations and two modeling scenarios with and without anthropogenic emissions loading.

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Year:  2020        PMID: 32749924      PMCID: PMC7681777          DOI: 10.1080/10962247.2020.1805375

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  14 in total

1.  Demonstrating attainment of the air quality standards: integration of observations and model predictions into the probabilistic framework.

Authors:  C Hogrefe; S T Rao
Journal:  J Air Waste Manag Assoc       Date:  2001-07       Impact factor: 2.235

2.  A New Method for Assessing the Efficacy of Emission Control Strategies.

Authors:  Huiying Luo; Marina Astitha; Christian Hogrefe; Rohit Mathur; S Trivikrama Rao
Journal:  Atmos Environ (1994)       Date:  2019       Impact factor: 4.798

3.  Dynamic Evaluation of Two Decades of WRF-CMAQ Ozone Simulations over the Contiguous United States.

Authors:  Marina Astitha; Huiying Luo; S Trivikrama Rao; Christian Hogrefe; Rohit Mathur; Naresh Kumar
Journal:  Atmos Environ (1994)       Date:  2017       Impact factor: 4.798

4.  Impacts of different characterizations of large-scale background on simulated regional-scale ozone over the continental United States.

Authors:  Christian Hogrefe; Peng Liu; George Pouliot; Rohit Mathur; Shawn Roselle; Johannes Flemming; Meiyun Lin; Rokjin J Park
Journal:  Atmos Chem Phys       Date:  2018       Impact factor: 6.133

5.  Advanced error diagnostics of the CMAQ and Chimere modelling systems within the AQMEII3 model evaluation framework.

Authors:  Efisio Solazzo; Christian Hogrefe; Augustin Colette; Marta Garcia-Vivanco; Stefano Galmarini
Journal:  Atmos Chem Phys       Date:  2017       Impact factor: 6.133

6.  Evaluation and error apportionment of an ensemble of atmospheric chemistry transport modeling systems: multivariable temporal and spatial breakdown.

Authors:  Efisio Solazzo; Roberto Bianconi; Christian Hogrefe; Gabriele Curci; Paolo Tuccella; Ummugulsum Alyuz; Alessandra Balzarini; Rocio Barô; Roberto Bellasio; Johannes Bieser; Jørgen Brandt; Jesper H Christensen; Augistin Colette; Xavier Francis; Andrea Fraser; Marta Garcia Vivanco; Pedro Jiménez-Guerrero; Ulas Im; Astrid Manders; Uarporn Nopmongcol; Nutthida Kitwiroon; Guido Pirovano; Luca Pozzoli; Marje Prank; Ranjeet S Sokhi; Alper Unal; Greg Yarwood; Stefano Galmarini
Journal:  Atmos Chem Phys       Date:  2017       Impact factor: 6.133

7.  Extending the Community Multiscale Air Quality (CMAQ) Modeling System to Hemispheric Scales: Overview of Process Considerations and Initial Applications.

Authors:  Rohit Mathur; Jia Xing; Robert Gilliam; Golam Sarwar; Christian Hogrefe; Jonathan Pleim; George Pouliot; Shawn Roselle; Tanya L Spero; David C Wong; Jeffrey Young
Journal:  Atmos Chem Phys       Date:  2017       Impact factor: 6.133

8.  On the Limit to the Accuracy of Regional-Scale Air Quality Models.

Authors:  S Trivikrama Rao; Huiying Luo; Marina Astitha; Christian Hogrefe; Valerie Garcia; Rohit Mathur
Journal:  Atmos Chem Phys       Date:  2020-02-10       Impact factor: 6.133

9.  Detecting and tracking changes in ozone air quality.

Authors:  S T Rao; I G Zurbenko
Journal:  Air Waste       Date:  1994-09

10.  Assessing Temporal and Spatial Patterns of Observed and Predicted Ozone in Multiple Urban Areas.

Authors:  Heather Simon; Benjamin Wells; Kirk R Baker; Bryan Hubbell
Journal:  Environ Health Perspect       Date:  2016-05-06       Impact factor: 9.031

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  1 in total

1.  Estimating US Background Ozone Using Data Fusion.

Authors:  T Nash Skipper; Yongtao Hu; M Talat Odman; Barron H Henderson; Christian Hogrefe; Rohit Mathur; Armistead G Russell
Journal:  Environ Sci Technol       Date:  2021-03-16       Impact factor: 9.028

  1 in total

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