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- 저자 : Wiedinmyer, Christine (검색결과 1 건)
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Biogenic hydrocarbons in Texas: Source characterization and chemistry
Wiedinmyer, Christine The University of Texas at Austin 1999 해외박사(DDOD)
Natural sources, particularly vegetation, emit significant quantities of hydrocarbons to the atmosphere. These biogenic hydrocarbons have short atmospheric lifetimes and can participate in the atmospheric reactions that produce ozone and particulate matter. To better understand, and eventually control the formation of ozone and atmospheric particulate matter, it is important to understand the emissions and chemistry of biogenic hydrocarbons. Biogenic hydrocarbons are expected to be significant in Texas; yet, little effort has previously been spent to characterize the emissions and chemistry of biogenic hydrocarbons there. Several unresolved issues associated with biogenic hydrocarbon emissions within Texas are addressed in this dissertation. The first sections of this dissertation reports methods that have been developed to create new land use databases within Texas that are used to create new biogenic emissions inventories. The compiled land use mapping described here contains specific vegetation data for Texas and has better spatial resolution than land use data previously used to create biogenic emissions inventories. The new biogenic emission inventories produced with the land cover data predict increases for much of the state, and the spatial allocation of the emissions is different than previous inventories. The next portion of this dissertation describes a field study of biogenic: emissions performed in central Texas. The purpose of this study was to examine the concentrations and chemistry of isoprene in Texas. A box model approach is described and used to estimate isoprene flux from vegetation. These results are compared to biogenic emissions estimates in the region. The final sections of this thesis address the importance of land use data in areas other than biogenic emissions. This is accomplished by evaluating the sensitivity of predicted ozone concentrations to land use data with the use of a regional photochemical grid model.
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