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Full-Text Articles in Physical Sciences and Mathematics
Development Of A Fast-Neutron Source Localization System, Abdulsalam F. Al Mutairi
Development Of A Fast-Neutron Source Localization System, Abdulsalam F. Al Mutairi
Student Research Symposium
Power generation by nuclear fusion is a continuing ambition that has been the focus of nuclear fusion research for nearly a hundred years. However, small-scale fusion reactors have further propulsion and neutron imaging applications that don’t require greater than breakeven efficiencies that a fusion energy source needs. Inertial Electrostatic Confinement (IEC) fusion devices have the potential for miniaturization, making them a strong candidate for such applications. Yet the contributions of different interactions within an IEC fusion device are still not fully understood. Imaging an IEC device and investigating each interaction's Neutron Production Rate (NPR) can enhance design efficiency. Neutron imaging …
A Paleoseismic Study Of The Twin Lakes Fault, Mount Hood Fault Zone, Oregon, Charlie Carr, Ashley R. Streig
A Paleoseismic Study Of The Twin Lakes Fault, Mount Hood Fault Zone, Oregon, Charlie Carr, Ashley R. Streig
McNair Symposium
Recent geologic mapping on high-resolution topography from lidar has led to the discovery of a zone of active faults on Mount Hood. The Mt. Hood Fault Zone consists of four separate faults, and stretches ~55 km from south to north, and crosses the summit of Mount Hood. The focus of this study is the northern section of Twin Lakes Fault, which lies directly south of Mount Hood and adjacent to OR35 and the White River. Lidar topography reveals the west side down normal displacement on the Twin Lakes fault. The highest tectonic seismicity rates in the Mount Hood area occur …
An Operational Drought Prediction Framework With Application Of Vine Copula Functions, Mahkameh Zarekarizi
An Operational Drought Prediction Framework With Application Of Vine Copula Functions, Mahkameh Zarekarizi
Student Research Symposium
Early and accurate drought predictions can benefit water resources and emergency managers by enhancing drought preparedness. Soil moisture memory is shown to contain helpful information for prediction of future values. This study uses the soil moisture memory to predict their future states via multivariate statistical modeling. We present a drought forecasting framework which issues monthly and seasonal drought forecasts. This framework estimates droughts with different lead times and updates the forecasts when more data become available. Forecasts are generated by conditioning future soil moisture values on antecedent drought status. The statistical model is initialized by soil moisture simulations retrieved from …