Accession Number : ADA410695


Title :   Estimating Biogenic Non-Methane Hydrocarbon Emissions for the Wasatch Front Through a High-Resolution. Gridded, Biogenic Vola Tile Organic Compound Emissions Inventory


Descriptive Note : Thesis


Corporate Author : UTAH STATE UNIV LOGAN


Personal Author(s) : Oldham, Jeremy V


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a410695.pdf


Report Date : Jan 2002


Pagination or Media Count : 119


Abstract : During the summers of 2000, 2001, and 2002, monitoring sites along the Wasatch Front reported ground-level concentrations of ozone exceeding both the 1-hour and proposed 8-hour National Ambient Air Quality Standards. Reactive biogenic (natural) volatile organic compounds emitted from plants have been shown to have the potential to increase the formation of ozone and other photochemical products. In order to better estimate and spatially characterize the vegetative emissions of photochemically reactive hydrocarbons along the Wasatch Front, a high-resolution, 30- meter gridded biogenic emissions inventory was created for the Wasatch Front using remotely sensed data. Local vegetative survey information was used to help reduce some of the uncertainty in predicting plant species composition and frequency. Isoprene emissions computed for the study area from the project's high-resolution gridded inventory were 65% higher than isoprene estimates from the second version of the U.S. E.P.A's currently recommended inventory, Biogenic Emissions Landcover Database (BELD 2), while monoterpene and other reactive volatile organic compound emission rates were almost 26% and 28% lower, respectively. This high-resolution emissions inventory also characterized the spatial distribution of biogenic hydrocarbon emissions within the study area at a 30-meter resolution, whereas BELD 2 assumes homogenous, countywide emissions. This high-resolution model could potentially increase the accuracy of model predictions that utilize biogenic hydrocarbon emission estimates as input for air quality modeling and assist regulators in developing control strategies for ozone formation.


Descriptors :   *OZONE , *EMISSION CONTROL , DATA BASES , GROUND LEVEL , EMISSION , SPATIAL DISTRIBUTION , UNCERTAINTY , STRATEGY , PREDICTIONS , MONITORING , PHOTOCHEMICAL REACTIONS , SITES , GRIDS , ACCURACY , HIGH RESOLUTION , ESTIMATES , REGULATORS , SURVEYS , CHEMICAL REACTIONS , HYDROCARBONS , ORGANIC COMPOUNDS , CONCENTRATION(COMPOSITION) , VOLATILITY , INVENTORY , AIR QUALITY , VEGETATION , ISOPRENE


Subject Categories : Air Pollution and Control


Distribution Statement : APPROVED FOR PUBLIC RELEASE