Using Gas-Phase Air Quality Sensors to Disentangle Potential Sources in a Los Angeles Neighborhood

Area of Science:

• Environmental Science
• Atmospheric Chemistry
• Community-Based Research

Background:

• South Los Angeles community concerned about air pollution from local oil and gas operations.
• Complex air quality landscape with multiple pollutant sources, including major highways.
• Need for localized, real-time air quality monitoring.

Purpose of the Study:

• Deploy a network of low-cost air quality sensors to assess local emissions.
• Investigate the composition and origins of observed air pollutants.
• Evaluate the effectiveness of community-based sensor networks for air quality research.

Main Methods:

• Network deployment of metal-oxide VOC sensors for methane (CH4) and total non-methane hydrocarbon (TNMHCs) estimation.
• Integration of sensor data with meteorological information and community observations.
• Analysis of sensor data to identify emission trends and sources.

Main Results:

• Sensor network successfully captured environmental trends and identified short-term pollutant elevations.
• Detected contributions from both combusted and volatilized hydrocarbons in the community.
• Identified potential impacts near local oil and gas activity.

Conclusions:

• Multi-sensor networks can effectively monitor air quality in complex urban environments.
• Community-based deployments provide valuable data for understanding local emission sources.
• This approach can serve as a model for future community-driven air quality studies.