Marginal Conventional Well Closure Grant
Northern Wasatch Front Serious Ozone SIP Technical Support Documentation
VOCs Community Monitoring: Neighborhood Air
Utah Point Source Halogen Emissions
WestSide AirSense: Empowering communities through enhanced PM monitoring
2020 Statewide Emissions Inventories
Volkswagen Settlement Vehicle Awards Through the DERA Option
Beehive Emission Reduction Plan
Charge Your Yard Incentive Program for Businesses
The Salt Lake Regional Smoke, Ozone and Aerosol Study (SAMOZA)
The University of Washington, Utah State University and the University of Montana will conduct a detailed study of ozone (O3) and fine particulate matter (PM2.5) in the Salt Lake Valley (SLV). Using new VOC observations, plus existing measurements of NOx, CO and PM2.5, they will use a variety of analyses to understand O3 formation and the sources of PM2.5 in the SLV during the summertime season. In addition, they will conduct photochemical modeling and statistical/machine learning analyses to improve our understanding of O3 photochemistry. We expect to gain significant new policy-relevant insights on what controls high concentrations of O3 in the SLV during both smoke-influenced and non-smoke conditions.
- Principal Investigator: Dan Jaffe (University of Washington)
- Funded by Science for Solutions Research Grant: $280,516
Improving Smoke Detection and Quantifying the Wildfire Smoke Impacts on Local Air Quality Using Modeling and Machine Learning Techniques
Though it can be easy to tell that wildfire smoke has negative impacts on urban air quality, there is no tool to quantitatively measure wildfire impacts, nor to identify whether exceedance days are due to wildfire smoke or other emissions. The first scope of this work will develop a new plume rise model to estimate the plume injection heights for larger wildfires, which will improve simulations of smoke transport and downwind air pollution concentrations. The second scope of this work is to use CTM (chemical transport model) ensemble simulations to determine wildfire smoke contributions to local air quality using source apportionment techniques. The last scope of this work is to develop a fast-response tool to identify federal standards (NAAQS) exceedance days with large contributions from wildfire smoke.
- Principal Investigator: Heather Holmes (University of Utah)
- Funded by Science for Solutions Research Grant: $61,738
Improved Vegetation Data for the Biogenic Emission Inventory of Wasatch Front
The goal of this project is to improve numerical predictions of regional ozone and aerosol distributions in the Wasatch Front by developing more accurate estimates of biogenic volatile organic carbon (BVOC) emissions for the urban areas within the Northern Wasatch Front. Specifically, this project will upgrade modeled MEGAN (Model of Emissions of Gasses and Aerosols from Nature) BVOC emission estimates by analyzing high-resolution satellite imagery using machine learning, object-based classifications that are calibrated and assessed by field observations. Such techniques have already successfully been applied in Texas and California. These techniques will improve MEGAN landcover inputs for the Wasatch Front region including time-varying Leaf Area Index (LAI), growth form fractions (tree, shrub, crops, herbaceous plants) and tree species composition (e.g., relative abundance of oaks, poplars, pines, spruce, etc). The benefit of this project will be an improved MEGAN emission model for the Wasatch Front that is available for use in air quality models that are critical for our scientific understanding and the development of effective regulatory strategies.
- Principal Investigator: Tejas Shah (Ramboll US Consulting)
- Funded by Science for Solutions Research Grant: $124,797