Quarterly Update June 2023

The goal of this study is to develop community exposure profiles in the Colorado North Front Range for chemicals in the air as well as noise over the UOGD lifecycle, from site preparation through production of multi-well pads. This study will assess potential exposure pathways connecting UOGD chemical emissions to nearby communities and use the results to better understand the public health implications. The investigators will apply the following methods to achieve these goals:

1. Use a combination of existing air quality data, innovative air quality measurements, and source apportionment models to quantify potential exposures.
2. Collect noise measurements from UOGD operations to quantify potential exposures.
3. In collaboration with the Hildebrandt Ruiz team, develop the "TRAcking Community Exposures and Releases" (TRACER) model for use in the Denver-Julesburg region to predict chemical emissions from specific UOGD processes. The teams will combine the predicted emissions with an air quality model to estimate concentrations of chemicals in the air.
4. Evaluate model performance by comparing air quality monitoring data collected by this and the Franklin team with model predictions in the Denver-Julesburg region.

The goal of this study is to understand potential community exposure to UOGD-associated chemicals and radioactivity in air as well as noise. The investigators will apply the following methods to achieve their goals:

1. Monitor air quality and noise in the Permian region of New Mexico and the Eagle Ford region of Texas to understand how potential exposures vary across the regions and over different time scales.
2. Combine existing air monitoring data in the Denver-Julesburg region of Colorado and original data collected in the Permian and Eagle Ford regions with statistical models to distinguish UOGD from other sources of chemicals in the air and noise sources.
3. Leverage satellite data to examine the association between natural gas flaring and air quality.

4. Collaborate with the Collett and Hildebrandt Ruiz teams to evaluate the "TRAcking Community Exposures and Releases" (TRACER) model performance in the Denver-Julesburg and Eagle Ford regions.

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Join us for an insightful community update on air quality in Loving and Carlsbad!

What: Loving/Carlsbad Air Quality Monitoring Info Session
Where: Southeast New Mexico College, Theatre Room 153, near the Instructional Center
When: Saturday, November 16, from 10 a.m. to 1 p.m.

This event is open to all community members.

During the session, experts will share findings from a year of air monitoring in our community, answer questions, and discuss ways to stay informed on air quality. Community volunteers will be recognized with a gift card as a thank-you for their participation in the project.

Refreshments and lunch will be provided. A Zoom link is available for those who cannot attend in person.

Online database with preliminary air concentration data collected by Dr. Franklin’s team. The data have not yet undergone HEI Energy’s rigorous peer review.

The goal of this study is to develop a broadly applicable model, the "TRAcking Community Exposures and Releases" (TRACER) model. The model will assess potential community exposures to chemicals in the air from UOGD and inform future health studies. The model will then be used to predict the magnitude and frequency of emissions from individual UOGD sources, and when coupled with dispersion modeling, will generate concentrations of chemicals in the air. The investigators will apply the following methods to achieve their goals:

1. Collect stationary and mobile air quality and noise measurements in the Eagle Ford, Texas region.
2. In collaboration with the Collett team, develop the TRACER model in the Eagle Ford region to generate chemical emissions data from specific UOGD processes. The teams will combine the predicted emissions with air quality models to estimate local and regional concentrations of chemicals in the air.
3. Expansion of the TRACER model to the Marcellus region, leveraging data from the separately funded Appalachian Methane Initiative. 
4. Evaluate model performance by comparing air quality monitoring data with model predictions in the Eagle Ford region.
5. Use TRACER model results to assess spatial and temporal variability of potential community exposures to UOGD-associated chemicals and evaluate the effects of different UOGD sources on potential community exposures.

The overall goal of this study is to evaluate potential linkages between unconventional oil and gas development (UOGD) and groundwater contamination in a tri-county region of Pennsylvania with many overlapping potential sources of contamination. The analysis will be informed by focus groups in the region to help identify areas of community concern. The team plans to produce a broadly applicable framework to study the relationship between specific UOGD processes and potential groundwater contamination. The investigators will apply the following methods to achieve their goals:

1. Combine an existing data set of chemical measurements in groundwater with machine learning to isolate the influences of natural and anthropogenic processes on groundwater chemistry and to identify chemical signatures of UOGD.
2. Evaluate linkages between UOGD and potential water contamination.
3. Develop an approach to map locations of potential contamination from UOGD activities for application to future investigations of potential human exposures and health effects associated with UOGD.

The goal of this study is to evaluate whether instances of community water supply contamination in Colorado and New Mexico might be the result of unconventional oil and gas development (UOGD). The study will be useful for understanding the UOGD operational conditions that might present a risk to community water supplies. The investigators will apply the following methods to achieve their goals:

1. Analyze existing groundwater and surface water quality data for community water supplies near UOGD and examine correlations between water quality and oil and gas operational data.
2. Examine temporal and spatial correlations between UOGD and community water supply contamination to identify possible exposure pathways.
3. Model contaminant transport along possible exposure pathways to evaluate the feasibility of the pathways connecting community water supplies with UOGD.