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Evacuation And Shelter In Place Modeling For A Release Of Uranium Hexafluoride, Joseph B. Harris
Evacuation And Shelter In Place Modeling For A Release Of Uranium Hexafluoride, Joseph B. Harris
Electronic Theses and Dissertations
Evacuation and sheltering behaviors were modeled for a hypothetical release of uranium hexafluoride (UF6) from Nuclear Fuel Services (NFS) in Erwin, Tennessee. NFS down-blends weapons grade Cold War-era nuclear fuel material and processes highly-enriched uranium occasionally using UF6 onsite. Risk associated with a chemical release to the surrounding residential population was assessed by running 2 scenarios involving an airborne release of UF6 to compare evacuation and sheltering in place actions as effective survival strategies. Risk is minimal and evacuation is recommended for people within a 2-mile radius of the release point. Shelter in place actions are recommended for all critical …
Fire Type Classification In The Brazilian Tropical Moist Forest Biome, Sanath Kumar Sathyachandran
Fire Type Classification In The Brazilian Tropical Moist Forest Biome, Sanath Kumar Sathyachandran
Electronic Theses and Dissertations
The Brazilian Tropical Moist Forest Biome (BTMFB) is “Earth’s greatest biological treasure and a major component of the earth system” and forest degradation and deforestation by fire is a serious issue in this region. Fires in the BTMFB can be broadly classified as maintenance, deforestation and forest fire types. Spatially and temporally explicit information on the incidences of fire types are important as they have widely varying atmospheric emissions and ecological impacts. Satellite based remote sensing is a practical means of monitoring the BTMFB that spans almost 4 million km2. However, there has been no way to reliably …
Evaluation And Application Of A New Shape-Sensitive Metric Useful For Characterizing Both Spectral Curves And Lidar Waveforms, Eric Ariel L. Salas
Evaluation And Application Of A New Shape-Sensitive Metric Useful For Characterizing Both Spectral Curves And Lidar Waveforms, Eric Ariel L. Salas
Electronic Theses and Dissertations
This dissertation seeks to investigate hyperspectral and waveform LiDAR datasets through a new analytical framework called Moment Distance method that uses a metric derived from the shape of the curve (spectral or waveform). In the case of hyperspectral data, the shape of the reflectance curve should unmask fine points of the spectra usually not considered by existing band-specific indices. To explore the advantages and shortcomings of this new approach, leaf and canopy hyperspectral reflectance samples were simulated using the physicallybased models PROSPECT (a leaf model) and SAIL (a canopy model). Sensitivity analysis was conducted with the goal of understanding the …