1,636 research outputs found

    Developing a Greenhouse Gas Emissions Calculation Tool for Water Utilities

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    The issue of climate change has led to an increased emphasis on sustainable practices in almost every facet of our lives. For water utilities, this has increased scrutiny on energy use. Although traditionally viewed solely in financial terms, energy use is also the primary source of greenhouse gas (GHG) emissions from water utilities. The emerging concern over GHG emissions coincides with potential federal legislation and regulation by the Environmental Protection Agency (EPA). In order for water utilities to determine their GHG emissions, guides and tools must be made readily available. Information to educate water utilities about their GHG emissions is often scattered and calculation tools are not publically available for utilities in the United States. The main objective of this research was to develop an accounting tool to facilitate water utilities in calculating their GHG emissions. This tool will allow a water utility to create a GHG emissions baseline and assist in meeting any emissions reduction goals. More specifically, this research project focused on four sub-objectives: (i) to create an Excel-based program to serve as the shell of the GHG emissions accounting tool, (ii) to develop energy prediction equations for different portions of the water production process, (iii) to include the water-energy nexus in the accounting tool, and (iv) to test the program using real data at various water utilities. A thorough literature review was conducted to determine all available data and equations that pertained to the GHG emissions of water utilities. This information was used to create a GHG emissions accounting tool that was designed to be flexible enough for use by a wide range of utility sizes, treatment processes, and locations in the United States. Energy prediction equations were developed for the raw water collection and finished water distribution phases of a water utility. A prediction equation for the treatment processes was not able to be developed with the current data set; therefore, literature data were utilized for energy prediction purposes in that phase. These prediction tools as well as a water-energy nexus evaluation were included in the program. The survey data obtained to form energy prediction equations had an average energy use of 3.1 kWh/1000 gallons. The GHG emissions accounting tool was tested at seven water utilities in Georgia, North Carolina, and South Carolina. The average carbon inventory of the seven utilities was 1240 kg carbon dioxide equivalents (CO2-eq.)/MG. Two of the utilities tested exceeded the EPA reporting rule threshold of 25,000 metric tons of CO2-eq./yr. Assuming an average carbon inventory of 1240 kg CO2-eq./MG, water utilities with a flow rate higher than 55.2 MGD would also exceed the reporting rule limit. These values vary greatly when utilizing different electrical grids. When using the highest and lowest GHG emitting EPA subregions, the seven utilities tested had an average carbon inventory ranging from 550 to 2190 kg CO2-eq./MG. The flow rate required to exceed the EPA reporting rule threshold ranged from 31.3 to 123.5 MGD when using the previously stated carbon inventory averages. The main source of the GHG emissions within a utility is pumping because the raw water collection and finished water distribution phases can account for 75% of the carbon inventory. The carbon footprints of the seven utilities compared favorably to literature data. The main source for the carbon footprints of all seven utilities were Scope 2 (electricity-based) emissions, which accounted for at least 80% of the total emissions. The water-energy nexus evaluation showed that the water consumed in generating electricity for all seven water utilities was less than one percent of the total average production from each utility

    A survey of factors influencing career preference in new-entrant and exiting medical students from four UK medical schools

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    Our thanks to Professor Gillian Needham and Dr Murray Lough for their encouragement and support, and their comments on an earlier draft of this manuscript. Our thanks also to NHS Education for Scotland [NES] for funding, and the Scottish Medical Deans Education Group [SMDEG] for supporting this project. We are grateful to all the students who gave their time to complete the survey questionnaire and to those who helped organise and carry out data collection.Peer reviewedPublisher PD

    The Variability in Atlantic Ocean Basin Hurricane Occurrence and Intensity as related to ENSO and the North Pacific Oscillation

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    The investigation of the effect of El Niño-related variability on hurricane activity has been a popular topic of study. Studies have shown that there are fewer Atlantic Ocean basin hurricanes during an El Nino year than during a La Nina year. Various atmospheric and oceanic parameters that influence hurricane development become significantly altered during an El Niño event, leading to suppressed easterly wave development and growth. The effect of the El Niño/La Niña cycle on hurricane intensity, however, is not straightforward. Studies addressing the interannual variability of hurricane intensity have captured far less attention than the more generalized subject of hurricane occurrence. This study examined the interannual variability of hurricane intensity (measured as wind speed and interpreted through the Saffir-Simpson Scale) from 1938 through 1999. These data were then compared with the occurrence of El Niño/La Niña events as defined using the Japan Meteorological Association (JMA) index. El Nino/La Nina variability superimposed on variability associated with the North Pacific Oscillation (NPO) was also examined here. Not surprisingly, during an El Niño year the intensity of Atlantic hurricanes was found to be weaker than during a neutral year or a La Niña year. There were also significant differences found in hurricane intensity between El Nino and La Nina years when the NPO was in phase 1, rather than when the NPO was in phase 2. Finally, this study also examined the interannual variation in hurricane intensity by genesis region (i.e. the eastern and western Atlantic Ocean Basins, the Caribbean, and the Gulf of Mexico)

    The Welfare Effects of Trade in Phytomedicines: A Multi-Disciplinary Analysis of Turmeric Production

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    International trade in medicinal herbal products is growing, while value chains are becoming more complex and governed by a range of public and private standards. There is a debate over the extent to which phytomedicine production can be beneficial for farmers in low and middle income countries. More generally, there are varied views about the extent to which small farmers are disadvantaged by stringent public health and private consumer standards in northern markets for agricultural products. This paper proves a comparative analysis of value chains, using case studies of turmeric production in India. It marries a qualitative investigation of turmeric producing sites in India with an investigation into the chemical quality of various turmeric products. The aim of the paper is to understand the way that varied structure and governance of value chains changes the benefits to both producer and consumer. When production is for the organic northern market, we found evidence of a ‘captive’ value chain, where the lead firm requires strict adherence to conditions of production and processing. Prices for farmers were relatively stable, at a reasonably high level. In contrast, where farmers were producing for local markets, including the major auction at Erode, prices were volatile and farmers bore considerable risk. We found that competition and volatility in the market-based chain can lead to turmeric adulteration and contamination, both intentional and unintentional. Our case study suggests that many small turmeric farmers would find it difficult to meet both public and private health standards, in contrast to some academic literature that argues that public health standards do not discriminate against small farmers. More than this, our study adds to the discussion of the impact of standards, suggesting clear consumer benefits in northern markets. However, there are also indications that only larger and more dynamic farmers can participate in the lucrative phytomedicine trade. As such, our study tentatively supports previous literature suggesting that the application of standards in northern markets lead to increasing farmer differentiation

    The Orion Pad Abort 1 Flight Test A Highly Successful Test

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    The Orion Pad Abort 1 (PA-1) flight test was designed as an early demonstration of the Launch Abort System (LAS) for the Orion capsule. The LAS was designed developed and manufactured by the Lockheed Martin/Orbital Sciences team. At inception it was realized that recovery of the Orion Capsule simulator would be useful from an engineering analysis and data recovery point of view. Additionally this test represented a flight opportunity for the Orion parachute system, which in a real abort would provide final landing deceleration. The Orion parachute program is named CPAS (CEV Parachute Assembly System). Thus CPAS became a part of the PA-1 flight, as a secondary test objective. At program kick off, the CPAS system was in the design state described below. Airbag land landing of the spacecraft was the program baseline. This affected the rigging of the parachutes. The system entry deployment conditions and vehicle mass have both evolved since that original design. It was decided to use the baseline CPAS Generation 1 (Gen 1) parachute system for the recovery of the PA-1 flight. As CPAS was a secondary test objective, the system would be delivered in its developmental state. As the PA-1 program evolved, the parachute recovery system (CPAS) moved from a secondary objective to a more important portion of the program. Tests were added, weights and deployment conditions changed and some hardware portions of the CPAS configuration were not up to the new challenges. Additional tests were added to provide confidence in the developmental system. This paper will review a few of these aspects with the goal of showing some preliminary and qualitative results from what we believe was a highly successful test

    The Skn7 Response Regulator of \u3ci\u3eSaccharomyces cerevisiae\u3c/i\u3e Interacts with Hsf1 In Vivo and Is Required for the Induction of Heat Shock Genes by Oxidative Stress

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    The Skn7 response regulator has previously been shown to play a role in the induction of stress-responsive genes in yeast, e.g., in the induction of the thioredoxin gene in response to hydrogen peroxide. The yeast Heat Shock Factor, Hsf1, is central to the induction of another set of stress-inducible genes, namely the heat shock genes. These two regulatory trans-activators, Hsf1 and Skn7, share certain structural homologies, particularly in their DNA-binding domains and the presence of adjacent regions of coiled-coil structure, which are known to mediate protein–protein interactions. Here, we provide evidence that Hsf1 and Skn7 interact in vitro and in vivo and we show that Skn7 can bind to the same regulatory sequences as Hsf1, namely heat shock elements. Furthermore, we demonstrate that a strain deleted for the SKN7 gene and containing a temperature-sensitive mutation in Hsf1 is hypersensitive to oxidative stress. Our data suggest that Skn7 and Hsf1 cooperate to achieve maximal induction of heat shock genes in response specifically to oxidative stress. We further show that, like Hsf1, Skn7 can interact with itself and is localized to the nucleus under normal growth conditions as well as during oxidative stress
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