109 research outputs found

    PIXE Analysis of Aerosol Soil Artificial Turf and Running Track Samples

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    Proton-induced X-ray emission spectroscopy (PIXE) has been performed on aerosol, soil, artificial turf, and running track samples using the 1.1-MV tandem Pelletron accelerator in the Union College Ion Beam Analysis Laboratory. PIXE analysis of the aerosol and soil samples was performed with 2.2-MeV proton beams. X-ray energy spectra were measured with a silicon drift detector and analyzed with GUPIX software to determine the elemental concentrations in the aerosol and soil samples. Of particular interest are the concentrations of airborne pollutants, such as sulfur that can contribute to acid rain and the acidification of Adirondack lakes such as Piseco Lake. PIXE analysis was also performed on artificial turf and running track samples in order to determine the possible concentrations of lead in these samples. Significant concentrations of sulfur were present in small particle sizes in the aerosol samples, which indicate that the sulfur can travel great distances and may have originated as far away as the Midwest. Trace amounts of lead were present in the artificial turf, perhaps justifying recent concerns about the safety of artificial turf

    Spot Market for Water along the Texas Rio Grande: Opportunities for Water Management

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    Ion Production and Mitigation in DC High-Voltage Photo-Guns

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    One of the biggest obstacles to operating a GaAs polarized electron source with a long charge lifetime is the mitigation of ion back-bombardment. Several techniques exist to either clear ions from the accelerator or to mitigate ion damage of the photocathode. Predicting the effectiveness of these techniques requires sophisticated simulation models of electron impact ionization within the photo-gun. In this work, the effectiveness of applying a positive anode bias voltage to mitigate ion damage and increase the charge lifetime of the GaAs photocathode was studied over three run periods at the Continuous Electron Beam Accelerator Facility (CEBAF) at Jefferson Lab (JLab). The charge lifetime with the biased anode configuration was 1.80±0.51 times longer than the lifetime of the usual grounded anode configuration. Simulations of ionization within the CEBAF photo-gun and adjacent beamline were made using General Particle Tracer (GPT) and a new C++ custom element to predict and explain the substantial improvement in charge lifetime. The experimental results and the development of the ionization custom element, with its use in simulations of ion back-bombardment with the biased anode, are described in detail

    City effectiveness in initiating and planning urgan [sic] development: the Welfare Island development.

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    Massachusetts Institute of Technology. Dept. of Urban Studies and Planning. Thesis. 1974. Ph.D.Vita.Bibliography: leaves 344-365.Ph.D

    Simulating Electron Impact Ionization Using a General Particle Tracer (GPT) Custom Element

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    A new C++ custom element has been developed with the framework of General Particle Tracer (GPT) to simulate electron impact ionization of residual gas molecules. The custom element uses Monte-Carlo routines to determine both the ion production rate and the secondary electron kinetic energy based on user-defined gas densities and theoretical values for the ionization cross section and the secondary electron differential cross section. It then uses relativistic kinematics to track the secondary electron, the scattered electron, and the newly formed ion after ionization. The ion production rate and the secondary electron energy distribution determined by the custom element have been benchmarked against theoretical calculations and against simulations made using the simulation package IBSimu. While the custom element was originally built for particle accelerator simulations, it is readily extensible to other applications. The custom element will be described in detail and examples of applications at the Thomas Jefferson National Accelerator Facility will be presented for ion production in a DC high voltage photo-gun

    Economic Impact of Gulf of Mexico Ecosystem Goods and Services and Integration Into Restoration Decision-Making

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    Sustainability of natural resources requires balancing exploitation and conservation, enabled by management based on the best available scientific and economic information. Valuation of ecosystem goods and services is an important tool for prioritizing restoration efforts, recognizing the economic importance of conserving natural capital, and raising public awareness about the contribution of healthy ecosystems to social welfare, now and for future generations. The Deepwater Horizon oil spill (DHOS) in 2010 was a Gulf of Mexico ecological and economic disaster adding to decades-long degradation of the region’s coastal and marine environment. In 2010, revenues from provisioning ecosystem goods and services generated by the five U.S. states bordering the Gulf of Mexico contributed over 2trillionperyeartothenation’sgrossdomesticproduct,including2 trillion per year to the nation’s gross domestic product, including 660 billion from the coastal county revenues and 110billionfromoceanrevenues.MexicoandCubacontributeatleastanother110 billion from ocean revenues. Mexico and Cuba contribute at least another 40 billion per year from their Gulf coastal and ocean economies. Total economic value of Gulf ecosystem goods and services also requires valuation of nonmarket regulating, cultural, and supporting services, which are far more difficult to assess, but add billions more dollars per year. In light of this total economic value and trends in ecosystem stressors, new investment is necessary to ensure completeness, accuracy, and availability of Gulf economic impact data. Civil and criminal settlements related to the DHOS provide unprecedented opportunities for improving integration of ecosystem goods and services into decisions that affect Gulf restoration and sustainability. This paper highlights the economic contributions of Gulf ecosystem goods and services to the nation’s welfare, and recommends actions and investments required to ensure that they are valued, and integrated into decision-making
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