Abstract

Abstract. Recent increases in oil and natural gas (NG) production throughout the western US have come with scientific and public interest in emission rates, air quality and climate impacts related to this industry. This study uses a regional-scale air quality model (WRF-Chem) to simulate high ozone (O3) episodes during the winter of 2013 over the Uinta Basin (UB) in northeastern Utah, which is densely populated by thousands of oil and NG wells. The high-resolution meteorological simulations are able qualitatively to reproduce the wintertime cold pool conditions that occurred in 2013, allowing the model to reproduce the observed multi-day buildup of atmospheric pollutants and the accompanying rapid photochemical ozone formation in the UB. Two different emission scenarios for the oil and NG sector were employed in this study. The first emission scenario (bottom-up) was based on the US Environmental Protection Agency (EPA) National Emission Inventory (NEI) (2011, version 1) for the oil and NG sector for the UB. The second emission scenario (top-down) was based on estimates of methane (CH4) emissions derived from in situ aircraft measurements and a regression analysis for multiple species relative to CH4 concentration measurements in the UB. Evaluation of the model results shows greater underestimates of CH4 and other volatile organic compounds (VOCs) in the simulation with the NEI-2011 inventory than in the case when the top-down emission scenario was used. Unlike VOCs, the NEI-2011 inventory significantly overestimates the emissions of nitrogen oxides (NOx), while the top-down emission scenario results in a moderate negative bias. The model simulation using the top-down emission case captures the buildup and afternoon peaks observed during high O3 episodes. In contrast, the simulation using the bottom-up inventory is not able to reproduce any of the observed high O3 concentrations in the UB. Simple emission reduction scenarios show that O3 production is VOC sensitive and NOx insensitive within the UB. The model results show a disproportionate contribution of aromatic VOCs to O3 formation relative to all other VOC emissions. The model analysis reveals that the major factors driving high wintertime O3 in the UB are shallow boundary layers with light winds, high emissions of VOCs from oil and NG operations compared to NOx emissions, enhancement of photolysis fluxes and reduction of O3 loss from deposition due to snow cover.

Highlights

  • The development of new drilling and stimulation technologies has resulted in a large increase in the number of active unconventional oil and natural gas (NG) wells and accelerated oil and NG production onshore in the US during the last decade

  • Two emission data sets are used in this study: a bottom-up inventory based on information provided by the US Environmental Protection Agency (EPA), and a top-down emission scenario for the oil/gas sector derived from CH4 and a suite of volatile organic compounds (VOCs) and NOy observations at the Horse Pool site during the Uinta Basin Winter Ozone Study (UBWOS) 2012 and 2013 field campaigns

  • Our study using the fully coupled meteorology–chemistry WRF-Chem model provides a means of examining the different factors driving high O3 levels during the wintertime over the Uinta Basin (UB) from a regional modeling perspective

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Summary

Introduction

The development of new drilling and stimulation technologies has resulted in a large increase in the number of active unconventional oil and NG wells and accelerated oil and NG production onshore in the US during the last decade (www. eia.gov). The VCPs form as an upper-level ridge approaches the western US and in response to strong mid-level warming, and they can exist several days until being removed, usually by advection or turbulent erosion processes (Reeves and Stensrud, 2009) These “cold pool”-like conditions can result in high air pollution episodes during wintertime. Neeman et al (2014) simulated cold pool situations in the UB during the winter of 2013 and examined the sensitivity of the boundary layer structure to the treatment of the cloud microphysics and snow cover in their meteorological model settings These studies, and the challenges related to the modeling of wintertime O3, are a motivation for investigating the wintertime O3 problem by means of a coupled 3-D meteorology– chemistry atmospheric model.

Emission data sets used in the model
Air quality model description
Base case simulations
31 January
Sensitivity simulations
Sensitivity to the photolysis rates
Sensitivity to the surface deposition processes
Sensitivity to the emission perturbations
Findings
Sensitivity to photochemical processes
Summary
Full Text
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