7,778 research outputs found

    Airborne particulate matter

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    Urban Atmospheric Chemistry::A Very Special Case for Study

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    Abstract Studies of the chemistry of the urban atmosphere provide special challenges which arise from the high density of emissions, strong concentration gradients and relatively high pollutant concentrations. In contrast to the regional and global atmosphere, local dispersion processes play a much larger role in determining atmospheric concentrations and also have a substantial effect on chemical transformations. On the other hand, residence times in the urban atmosphere are relatively short, hence limiting the range of chemical reaction processes which are significant. Some key species such as the hydroxyl radical have different predominant source processes in the urban and the regional atmosphere. A case is made that the differences are so large that urban atmospheric chemistry needs to be given special treatment and cannot simply be considered as subtlely different from regional and global atmosphere studies

    Air quality at risk: Brexit and lobbying from member states could stall progress on reducing pollution

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    Air pollution is linked to thousands of premature deaths across Europe each year and the European Union has a key role in addressing the problem. Roy M. Harrison states that although much progress has been made in improving air quality, lobbying from member states has led to a notable weakening of the resolve of the Commission to propose a real tightening of emissions ceilings. It also remains to be seen how Brexit will affect Britain’s air quality given the EU has been a major driver of action in the UK

    Development of an ontology for aerospace engine components degradation in service

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    This paper presents the development of an ontology for component service degradation. In this paper, degradation mechanisms in gas turbine metallic components are used for a case study to explain how a taxonomy within an ontology can be validated. The validation method used in this paper uses an iterative process and sanity checks. Data extracted from on-demand textual information are filtered and grouped into classes of degradation mechanisms. Various concepts are systematically and hierarchically arranged for use in the service maintenance ontology. The allocation of the mechanisms to the AS-IS ontology presents a robust data collection hub. Data integrity is guaranteed when the TO-BE ontology is introduced to analyse processes relative to various failure events. The initial evaluation reveals improvement in the performance of the TO-BE domain ontology based on iterations and updates with recognised mechanisms. The information extracted and collected is required to improve service k nowledge and performance feedback which are important for service engineers. Existing research areas such as natural language processing, knowledge management, and information extraction were also examined
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