High Resolution Source Importance Mapping to Minimize Impacts of Waste Biomass Distributed Generation on Ozone Air Quality in Disadvantaged Communities in the San Joaquin Valley
Developing site-specific mitigation strategies to minimize air pollution from bioenergy projects in the San Joaquin Valley
The researchers have developed the 3-D chemical transport modeling protocol and are conducting modeling simulations and assessing ozone impact metrics. The researchers are also working to identify local and regional air pollution sources by running simulations based upon populations in disadvantage communities in the San Joaquin Valley, and areas with ozone levels that exceed air quality standards. The research team continues to work on modeling and analysis to understand heterogeneity in the pollution sources based upon meteorology, precursor emissions, and impact metrics. Due to the pandemic, this project is behind schedule and was extended until March 2022.
This research includes high-resolution mapping of local and regional sources that influence ozone pollution in disadvantaged communities and non-attainment areas in the San Joaquin Valley across diverse weather conditions. The researchers will use a 3-D chemical transport modeling system in a number of simulations to determine location-dependent emission limits for bioenergy distributed generation deployment needed to protect the public health of disadvantaged communities and meet federal ozone standards. A decision support model will be developed to aid planners in siting distributed bioenergy generation and mitigating associated impacts.
The results from this project provide valuable new information for stakeholders regarding the greatest opportunities for efficient and cost-effective minimization of the air quality impacts from biomass distributed generation.