A Comparative Life Cycle Assessment between a Metered Dose Inhaler and Electric Nebulizer

Life cycle assessment (LCA) evaluates the environmental impact of a product based on the materials and processes used to manufacture the item as well as the item’s use and disposal. The objective of this LCA was to evaluate and compare the environmental impact of a metered dose inhaler, specifically the Proventil® HFA inhaler (Merk & Co., Inc., Kenilworth, NJ, USA), and an electric nebulizer, specifically the DeVilbiss Pulmo-Aide® nebulizer (DeVilbiss, Port Washington, NY, USA). GaBi LCA software was used to model the global warming potential (GWP) of each product by using substantiated data and well-justified assumptions for the components, manufacturing, assembly, and use of both devices. The functional unit used to model each device was one dose of the active drug, albuterol sulfate. The inhaler’s GWP, 0.0972 kg CO2-eq, was greater than the nebulizer’s even when uncertain parameters were varied ±100x. During the use phase ofa the inhaler, which accounted for approximately 96% of the inhaler’s total GWP, HFA 134a is used as a propellant to deliver the drug. The total GWP for the electric nebulizer was 0.0294 kg CO2-eq assuming that the mouthpiece was cleaned in a dishwasher, while it was 0.0477 kg CO2-eq when the nebulizer mouthpiece was hand washed between uses. The GWP breakeven scenario between dishwashing and hand washing occurred when the mouthpiece accounted for 10% of the dishwasher load

Farming profitably in a changing climate: a risk management approach

Climate science has made enormous progress over the last two decades in understanding the nature of earth's climate and the changes that are taking place. Under climate change projections, we can say with some confidence that the Australian climate will continue to become hotter, and temperature-related extreme events are likely to increase in frequency. However, we cannot yet project with any reasonable level of confidence changes to rainfall and the occurrence of drought. So although there is strong evidence for the reality of climate change, there is still considerable uncertainty associated with projections of precisely how climate change will unfold in the future, particularly at regional and local scales where most farming management decisions are made. Adapting to such an uncertain future demands a flexible approach based on assessing, analysing and responding to the risks posed by a changing climate. This paper examines a risk management approach to farming in a variable and changing climate, based on experience gained in the insurance industry which is one of the first major industries to be impacted by climate change losses. Governments, businesses and individuals must consider the implications of a variable and changing climate as a normal part of decision-making based on risk, just as they would for other risks, such as market price and fuel price movements, labour costs etc. The paper also discusses briefly how advances in information technology have enabled information to be accessed and widely distributed, and showcases four best practice spatial IT website tools developed by the BRS to assist farmers and policy makers to manage risk - the National Agricultural Monitoring System (NAMS), the Meat and Livestock Australia (MLA) Rainfall to Pasture Growth Outlook Tool, the Multi-Criteria Analysis Shell (MCAS-S), and the Rainfall Reliability Wizard. There are also several tools under current development in BRS which continue with this theme. These are Water 2010 - National Water Balance and Information for Policy and Planning, the Climate Change Wizard and Climate Change Impacted Data Sets.Climate change, risk management, Environmental Economics and Policy, Risk and Uncertainty,

Requirements for migration of NSSD code systems from LTSS to NLTSS

The purpose of this document is to address the requirements necessary for a successful conversion of the Nuclear Design (ND) application code systems to the NLTSS environment. The ND application code system community can be characterized as large-scale scientific computation carried out on supercomputers. NLTSS is a distributed operating system being developed at LLNL to replace the LTSS system currently in use. The implications of change are examined including a description of the computational environment and users in ND. The discussion then turns to requirements, first in a general way, followed by specific requirements, including a proposal for managing the transition

After the Fall: Legacy Effects of Biogenic Structure on Wind-Generated Ecosystem Processes Following Mussel Bed Collapse

Blue mussels (Mytilus edulis) are ecosystem engineers with strong effects on species diversity and abundances. Mussel beds appear to be declining in the Gulf of Maine, apparently due to climate change and predation by the invasive green crab, Carcinus maenas. As mussels die, they create a legacy of large expanses of shell biogenic structure. In Maine, USA, we used bottom traps to examine effects of four bottom cover types (i.e., live mussels, whole shells, fragmented shells, bare sediment) and wind condition (i.e., days with high, intermediate, and low values) on flow-related ecosystem processes. Significant differences in transport of sediment, meiofauna, and macrofauna were found among cover types and days, with no significant interaction between the two factors. Wind condition had positive effects on transport. Shell hash, especially fragmented shells, had negative effects, possibly because it acted as bed armor to reduce wind-generated erosion and resuspension. Copepods had the greatest mobility and shortest turnover times (0.15 d), followed by nematodes (1.96 d) and the macrofauna dominant, Tubificoides benedeni (2.35 d). Shell legacy effects may play an important role in soft-bottom system responses to wind-generated ecosystem processes, particularly in collapsed mussel beds, with implications for recolonization, connectivity, and the creation and maintenance of spatial pattern

Environmental Accounting and Reporting in Fossil Fuel Sector : A Study on Bangladesh Oil, Gas and Mineral Corporation (Petrobangla)

Petrobangla is the sole responsible organization to maintain the fossil fuel sector in Bangladesh. It is accountable to next generations for oil, gas and other natural resources. It is necessary to ensure optimum use of these resources. Development activities cannot be sustained if these resources are depleted through wasteful use. This study indicates that Petrobangla takes many initiatives to provide environment-friendly energy in the economy. Environmental Accounting and reporting is the emerging concept in Bangladesh, although many countries in the world, either developed or developing, are practising environmental accounting and reporting in their fossil fuel sector. Since the need for fossil fuel is likely to increase, especially in developing countries [where the supply of these resources insufficient], the accounting and reporting of these resources have become inevitable.Environmental Accounting, Fossil Fuel, Environmental Reporting

PACIOLI 17; Innovation in the management and use of Micro Economic Databases in Agriculture

The PACIOLI network explores the need for and feasibility of innovation in farm accounting and its consequences for data gathering for policy analysis in Farm Accountancy Data Networks (FADNs). PACIOLI 17 took place in Ettenhausen, Switzerland, in June 2009. The theme of the workshop was 'Innovation in the management and use of Micro Economic Databases in Agriculture'

Energy demand models for policy formulation : a comparative study of energy demand models

This paper critically reviews existing energy demand forecasting methodologies highlighting the methodological diversities and developments over the past four decades in order to investigate whether the existing energy demand models are appropriate for capturing the specific features of developing countries. The study finds that two types of approaches, econometric and end-use accounting, are used in the existing energy demand models. Although energy demand models have greatly evolved since the early 1970s, key issues such as the poor-rich and urban-rural divides, traditional energy resources, and differentiation between commercial and non-commercial energy commodities are often poorly reflected in these models. While the end-use energy accounting models with detailed sector representations produce more realistic projections compared with the econometric models, they still suffer from huge data deficiencies especially in developing countries. Development and maintenance of more detailed energy databases, further development of models to better reflect developing country context, and institutionalizing the modeling capacity in developing countries are the key requirements for energy demand modeling to deliver richer and more reliable input to policy formulation in developing countries.Energy Production and Transportation,Energy Demand,Environment and Energy Efficiency,Energy and Environment,Economic Theory&Research

Technology strategies for low-carbon economic growth: a general equilibrium assessment

This paper investigates the potential for developing countries to mitigate greenhouse gas emissions without slowing their expected economic growth. A theoretical frame- work is developed that unifies bottom-up marginal abatement cost curves and partial equilibrium techno-economic simulation modeling with computational general equilibrium (CGE) modeling. The framework is then applied to engineering assessments of energy efficiency technology deployments in Armenia and Georgia. The results facilitate incorporation of bottom-up technology detail on energy-efficiency improvements into a CGE simulation of the economy-wide economic costs and mitigation benefits of technology deployment policies. Low-carbon growth trajectories are feasible in both countries, enabling reductions of up to 4 percent of baseline emissions while generating slight increases in GDP (1 percent in Armenia and 0.2 percent in Georgia). The results demonstrate how MAC curves can paint a misleading picture of the true potential for both abatement and economic growth when technological improvements operate within a system of general equilibrium interactions, but also highlight how using their underlying data to identify technology options with high opportunity cost elasticities of productivity improvement can lead to more accurate assessments of the macroeconomic consequences of technology strategies for low-carbon growth.http://documents.worldbank.org/curated/en/279241468256026769/Technology-strategies-for-low-carbon-economic-growth-a-general-equilibrium-assessmentPublished versio