Modeling the impacts of emission events on ozone formation in Houston, Texas

Nam, Junsang; Kimura, Yosuke; Vizuete, William; Murphy, C.F.; Allen, David T.

doi:10.1016/j.atmosenv.2006.05.002

Cited by 52 publications

(42 citation statements)

References 3 publications

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“…Emission events above permitted levels are not included. The nature and impacts of these emission events have been described by Murphy and Allen (2005) and Nam, et al (2006).…”

Section: The Stochastic Emissions Inventory Generatormentioning

confidence: 99%

“…Steps 1 and 2 in the development of the model are analogous to the methods used by Nam, et al (2006) and are only summarized here.…”

Section: Air Quality Modelingmentioning

confidence: 99%

“…In this work, a computationally efficient version of CAMx, referred to as a sub-domain model and described by Nam, et al (2006), was used. The overall strategy in developing the sub-domain model was to…”

Section: Air Quality Modelingmentioning

confidence: 99%

“…Nam et al (2006) developed computationally efficient photochemical models and examined the impact, on ozone formation in the HG area, of emission events using a stochastic characterization of the emission events described by Murphy and Allen (2005). While the previous studies provided important information on impacts of emission variability on ozone formation in the HG area, they are limited in the sense that the episodic emission events account for just a part of emission variability and contribute to just 10% of the mass of annual HRVOC emissions.…”

Section: Introductionmentioning

confidence: 99%

“…Murphy and Allen (2005) showed that depending on the time, location, and magnitude of the emission event, ozone concentrations can be increased by as much as 100 ppb. Nam et al (2006) performed additional analysis using a subdomain model, and showed that 1.5% of emission events would produce an additional 10 ppb of ozone, and 0.5% of events would produce more than 70 ppb of additional ozone.…”

Section: Introductionmentioning

confidence: 99%

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The effect of variability in industrial emissions on ozone formation in Houston, Texas

Webster

Nam

Kimura

et al. 2007

Atmospheric Environment

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Ambient observations have indicated that high concentrations of ozone observed in the Houston/Galveston area are associated with plumes of highly reactive hydrocarbons, mixed with NO x , from industrial facilities. Ambient observations and industrial process data, such as mass flow rates for industrial flares, indicate that the VOCs associated with these industrial emissions can have significant temporal variability. To characterize the effect of this variability in emissions on ozone formation in Houston, data were collected on the temporal variability of industrial emissions or emission surrogates (e.g., mass flow rates to flares). The observed emissions variability was then used to construct region-wide emission inventories with variable industrial emissions, and the impacts of the variability on ozone formation were examined for two types of meteorological conditions, both of which lead to high ozone concentrations in Houston. The air quality simulations indicate that variability in industrial emissions has the 1 potential to cause increases and decreases of 10-52 ppb (13-316%), or more, in ozone concentration. The largest of these differences are restricted to regions of 10-20 km 2 , but the variability also has the potential to increase region wide maxima in ozone concentrations by up to 12 ppb.

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“…Emission events above permitted levels are not included. The nature and impacts of these emission events have been described by Murphy and Allen (2005) and Nam, et al (2006).…”

Section: The Stochastic Emissions Inventory Generatormentioning

confidence: 99%

“…Steps 1 and 2 in the development of the model are analogous to the methods used by Nam, et al (2006) and are only summarized here.…”

Section: Air Quality Modelingmentioning

confidence: 99%

Section: Air Quality Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The effect of variability in industrial emissions on ozone formation in Houston, Texas

Webster

Nam

Kimura

et al. 2007

Atmospheric Environment

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Source apportionment of formaldehyde during TexAQS 2006 using a source‐oriented chemical transport model

Zhang

Ying

et al. 2013

JGR Atmospheres

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[1] In this study, a source-oriented version of the Community Multiscale Air Quality (CMAQ) model was developed and used to quantify the contributions of five major local emission source types in Southeast Texas (vehicles, industry, natural gas combustion, wildfires, biogenic sources), as well as upwind sources, to regional primary and secondary formaldehyde (HCHO) concentrations. Predicted HCHO concentrations agree well with observations at two urban sites (the Moody Tower [MT] site at the University of Houston and the Haden Road #3 site operated by Texas Commission on Environmental Quality). However, the model underestimates concentrations at an industrial site (Lynchburg Ferry). Throughout most of Southeast Texas, primary HCHO accounts for approximately 20-30% of total HCHO, while the remaining portion is due to secondary HCHO (30-50%) and upwind sources (20-50%). Biogenic sources, natural gas combustion, and vehicles are important sources of primary HCHO in the urban Houston area, respectively, accounting for 10-20%, 10-30%, and 20-60% of total primary HCHO. Biogenic sources, industry, and vehicles are the top three sources of secondary HCHO, respectively, accounting for 30-50%, 10-30%, and 5-15% of overall secondary HCHO. It was also found that over 70% of PAN in the Houston area is due to upwind sources, and only 30% is formed locally. The model-predicted source contributions to HCHO at the MT generally agree with source apportionment results obtained from the Positive Matrix Factorization (PMF) technique.

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Combining innovative science and policy to improve air quality in cities with refining and chemicals manufacturing: The case study of Houston, Texas, USA

Allen

2017

Front. Chem. Sci. Eng.

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Modeling the impacts of emission events on ozone formation in Houston, Texas

Cited by 52 publications

References 3 publications

The effect of variability in industrial emissions on ozone formation in Houston, Texas

The effect of variability in industrial emissions on ozone formation in Houston, Texas

Source apportionment of formaldehyde during TexAQS 2006 using a source‐oriented chemical transport model

Combining innovative science and policy to improve air quality in cities with refining and chemicals manufacturing: The case study of Houston, Texas, USA

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