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This data set reports stream temperature, specific conductance, pH, dissolved oxygen percent saturation, dissolved oxygen concentration, and turbidity for East Fork Poplar Creek at a location approximately 16.2 kilometers upstream from the mouth of the creek.
This data set reports stream temperature, specific conductance, pH, dissolved oxygen percent saturation, dissolved oxygen concentration, and turbidity for East Fork Poplar Creek at a location approximately 16.2 kilometers upstream from the mouth of the creek.
This data set reports stream temperature, specific conductance, pH, dissolved oxygen percent saturation, dissolved oxygen concentration, and turbidity for East Fork Poplar Creek at a location approximately 16.2 kilometers upstream from the mouth of the creek.
This data set reports stream temperature, specific conductance, pH, dissolved oxygen percent saturation, dissolved oxygen concentration, and turbidity for East Fork Poplar Creek at a location approximately 16.2 kilometers upstream from the mouth of the creek.
This data set reports stream water temperature, specific conductance, pH, dissolved oxygen percent saturation and dissolved oxygen concentration for East Fork Poplar Creek at a location approximately 5.4 kilometers upstream from the mouth of the creek.
This data set reports water temperature, water depth, water surface elevation, and stream discharge for East Fork Poplar Creek at a location approximately 16.2 kilometers upstream from the mouth of the creek.
This data set reports stream water temperature, specific conductance, pH, turbidity, dissolved oxygen percent saturation and dissolved oxygen concentration for East Fork Poplar Creek at a location approximately 16.2 kilometers upstream from the mouth of the creek.
This data set reports stream discharge and water temperature for East Fork Poplar Creek at a location approximately 5.4 kilometers upstream from the mouth of the creek.
This data set reports stream water temperature, specific conductance, pH, dissolved oxygen percent saturation, dissolved oxygen concentration, and turbidity for East Fork Poplar Creek at a location approximately 5.4 kilometers upstream from the mouth of the creek.
This data set reports stream discharge and water temperature for East Fork Poplar Creek at a location approximately 16.2 kilometers upstream from the mouth of the creek.
This data set reports stream water temperature, specific conductance, pH, dissolved oxygen percent saturation, dissolved oxygen concentration, and turbidity for East Fork Poplar Creek at a location approximately 16.2 kilometers upstream from the mouth of the creek.
This data set reports stream discharge and water temperature for East Fork Poplar Creek at a location approximately 5.4 kilometers upstream from the mouth of the creek.
This data set reports stream water temperature, specific conductance, pH, dissolved oxygen percent saturation, dissolved oxygen concentration, and turbidity for East Fork Poplar Creek at a location approximately 5.4 kilometers upstream from the mouth of the creek.
This data set reports stream discharge and water temperature for East Fork Poplar Creek at a location approximately 5.4 kilometers upstream from the mouth of the creek.
This data set reports stream water temperature, specific conductance, pH, dissolved oxygen percent saturation, dissolved oxygen concentration, and turbidity for East Fork Poplar Creek at a location approximately 5.4 kilometers upstream from the mouth of the creek.
Bioenergy with carbon capture and storage (BECCS) sits at the nexus of the climate and energy security. We evaluated trade-offs between scenarios that support climate stabilization (negative emissions and net climate benefit) or energy security (ethanol production). Our spatially explicit model indicates that the foregone climate benefit from abandoned cropland (opportunity cost) increased carbon emissions per unit of energy produced by 14–36%, making geologic carbon capture and storage necessary to achieve negative emissions from any given energy crop. The toll of opportunity costs on the climate benefit of BECCS from set-aside land was offset through the spatial allocation of crops based on their individual biophysical constraints. Dedicated energy crops consistently outperformed mixed grasslands. We estimate that BECCS allocation to land enrolled in the Conservation Reserve Program (CRP) could capture up to 9 Tg C year–1 from the atmosphere, deliver up to 16 Tg CE year–1 in emissions savings, and meet up to 10% of the US energy statutory targets, but contributions varied substantially as the priority shifted from climate stabilization to energy provision. Our results indicate a significant potential to integrate energy security targets into sustainable pathways to climate stabilization but underpin the trade-offs of divergent policy-driven agendas.
At the completion of the National Ignition Campaign (NIC), the National Ignition Facility (NIF) had about 36 different types of diagnostics. These were based on several decades of development on Nova and OMEGA and involved the whole U.S. inertial confinement fusion community. In 1994, the Joint Central Diagnostic Team documented a plan for a limited set of NIF diagnostics in the NIF Conceptual Design Report. Two decades later, these diagnostics, and many others, were installed workhorse tools for all users of NIF. We give a short description of each of the 36 different types of NIC diagnostics grouped by the function of the diagnostics, namely, target drive, target response and target assembly, stagnation, and burn. A comparison of NIF diagnostics with the Nova diagnostics shows that the NIF diagnostic capability is broadly equivalent to that of Nova in 1999. Although NIF diagnostics have a much greater degree of automation and rigor than Nova’s, new diagnostics are limited such as the higher-speed X-ray imager. Lastly, recommendations for future diagnostics on the NIF are discussed.
This paper addresses the problem of how to select a sensor set for equipment health monitoring that meets the needs of advanced O&M tasks that target cost reduction. They include maintenance optimization and asset management for the existing fleet and near-autonomous operation as currently envisioned for advanced reactors. The method uses physics-based automated reasoning to provide for a more “explainable” diagnosis. The algorithm is described along with its implementation on a computational cluster. Preliminary results for application to a use case in the current fleet are described.