Measuring and Modeling Air Pollution and Noise Exposure Near Unconventional Oil and Gas Development in Colorado

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 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 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 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 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.