Near-source air quality impacts of large olefin flares

Large petrochemical flares, common in the Houston Ship Channel (the Ship Channel) and other industrialized areas in the Gulf of Mexico region, emit hundreds to thousands of pounds per hour of highly reactive volatile organic compounds (HRVOCs). We employed fine horizontal resolution (200 m × 200 m) in a three-dimensional (3D) Eulerian chemical transport model to simulate two historical Ship Channel flares. The model reasonably reproduced the observed ozone rise at the nearest monitoring stations downwind of the flares. The larger of the two flares had an olefin emission rate exceeding 1400 lb/hr. In this case, the model simulated a rate of increase in peak ozone greater than 40 ppb/hr over a 12 km × 12 km horizontal domain without any unusual meteorological conditions. In this larger flare, formaldehyde emissions typically neglected in official inventories enhanced peak ozone by as much as 16 ppb and contributed over 10 ppb to ambient formaldehyde up to ∼8 km downwind of the flare. The intense horizontal gradients in large flare plumes cannot be simulated by coarse models typically used to demonstrate ozone attainment. Moreover, even the relatively dense monitoring network in the Ship Channel may not be able to detect many transient high ozone events (THOEs) caused by industrial flare emissions in the absence of stagnant air recirculation or stalled sea breeze fronts, even though such conditions are unnecessary for the occurrence of THOEs. Implications: Flare minimization may be an important strategy to attain the U.S. federal ozone standard in industrialized areas, and to avoid inordinate exposure to formaldehyde in neighborhoods surrounding petrochemical facilities. Moreover, air quality monitoring networks, emission inventories, and chemical transport models with higher spatial and temporal resolution and more refined speciation of HRVOCs are needed to better account for the near-source air quality impacts of large olefin flares.

[1]  P. Dasgupta,et al.  Robust hybrid flow analyzer for formaldehyde. , 2008, Environmental science & technology.

[2]  W. Brune,et al.  Deciphering the Role of Radical Precursors during the Second Texas Air Quality Study , 2009, Journal of the Air & Waste Management Association.

[3]  Dirk Richter,et al.  Primary and secondary sources of formaldehyde in urban atmospheres: Houston Texas region , 2012 .

[4]  J. Dudhia,et al.  Examining Two-Way Grid Nesting for Large Eddy Simulation of the PBL Using the WRF Model , 2007 .

[5]  E. Atlas,et al.  Signatures of terminal alkene oxidation in airborne formaldehyde measurements during TexAQS 2000 , 2003 .

[6]  E. Olaguer Adjoint model enhanced plume reconstruction from tomographic remote sensing measurements , 2011 .

[7]  William P. L. Carter,et al.  Development of the SAPRC-07 chemical mechanism and updated ozone reactivity scales , 2007 .

[8]  Eduardo P Olaguer,et al.  The potential near-source ozone impacts of upstream oil and gas industry emissions , 2012, Journal of the Air & Waste Management Association.

[9]  D. Byun Science algorithms of the EPA Models-3 community multi-scale air quality (CMAQ) modeling system , 1999 .

[10]  W. Brune,et al.  Atmospheric oxidation capacity in the summer of Houston 2006: Comparison with summer measurements in other metropolitan studies , 2010 .

[11]  E. Atlas,et al.  Effect of petrochemical industrial emissions of reactive alkenes and NOx on tropospheric ozone formation in Houston, Texas , 2003 .

[12]  Byeong-Uk Kim,et al.  Modeling ozone formation from industrial emission events in Houston, Texas , 2008 .

[13]  J. Seinfeld,et al.  Development of a second-generation mathematical model for Urban air pollution—I. Model formulation , 1982 .

[14]  P. Woodward,et al.  The Piecewise Parabolic Method (PPM) for Gas Dynamical Simulations , 1984 .

[15]  Barry Lefer,et al.  Photochemical and meteorological relationships during the Texas-II Radical and Aerosol Measurement Project (TRAMP) , 2010 .

[16]  Evan Couzo,et al.  Issues with Ozone Attainment Methodology for Houston, TX , 2011, Journal of the Air & Waste Management Association.

[17]  David T. Allen,et al.  Modeling the impacts of emission events on ozone formation in Houston, Texas , 2006 .

[18]  W. Brune,et al.  A comparison of chemical mechanisms based on TRAMP-2006 field data , 2010 .

[19]  R. Derwent,et al.  Atmospheric Chemistry and Physics Protocol for the Development of the Master Chemical Mechanism, Mcm V3 (part B): Tropospheric Degradation of Aromatic Volatile Organic Compounds , 2022 .

[20]  David T. Allen,et al.  The effect of variability in industrial emissions on ozone formation in Houston, Texas , 2007 .

[21]  Byeong-Uk Kim,et al.  The Influence of Model Resolution on Ozone in Industrial Volatile Organic Compound Plumes , 2010, Journal of the Air & Waste Management Association.

[22]  E. Williams,et al.  A BAD AIR DAY IN HOUSTON , 2005 .

[23]  J. Christensen,et al.  Test of two numerical schemes for use in atmospheric transport-chemistry models , 1993 .

[24]  Stanley P. Sander,et al.  NASA Data Evaluation: Chemical Kinetics and Photochemical Data for Use in Atmospheric Studies , 2014 .

[25]  Paul S. Fischbeck,et al.  How big is big? How often is often? Characterizing Texas petroleum refining upset air emissions , 2010 .

[26]  Allen B. White,et al.  Rapid photochemical production of ozone at high concentrations in a rural site during winter , 2009 .

[27]  D. Allen,et al.  A new condensed toluene mechanism for Carbon Bond: CB05-TU , 2010 .

[28]  AIRBORNE MEASUREMENTS TO INVESTIGATE RADICAL SOURCES IN THE HOUSTON AREA , 2009 .