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ASSESSMENT OF THE AIR-QUALITY OVER URBAN AREAS BY MEANS OF BIOMETEOROLOGICAL INDICES. THE CASE OF ATHENS, GREECE

机译:利用生物气象指标对城市地区的空气质量进行评估。希腊雅典的情况

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This article deals with the part of air pollution, which has a particular relevance to the objective assessment of the quality of urban air. The correct understanding of the pollution levels over an urban region is of great importance to both authorized government services and to the community. This is particularly true for high polluted urban regions such as the Athens basin; so, it is important to recognize the levels of atmospheric quality by means of an easily understandable manner even for non-specialists. Thus, in this study an attempt is made for the application of two different groups of air quality indices (AQI) (statistical and biometeorological) by utilizing air pollutants measured into Athens basin, in a network of 17 measuring stations, during the period 2001-2002. The calculations of the (AQI) are referred to data of all 17 measuring stations and concern levels of air-pollution concentrations to both short (daily) and long time periods. Then comparisons were made between the obtained statistical and biometeorological indices in order to identify whether or not there is any existence of consistency between them. The compositions of the calculated indices were also determined, as well as, the most important air-pollutant for them. This procedure was applied for each day of the week in order to reveal the weekly cycle of indices and perhaps to isolate air-quality differences between weekdays and weekends. Finally, the varying forms of both frequency distributions are mainly caused by the impact related concentrations ranges of single air-pollutants which are typical of air-quality indices. Especially, PM_(10) and O_3 seem to have a stronger influence on the determination of values of air quality indices.
机译:本文涉及空气污染的这一部分,它与城市空气质量的客观评估特别相关。正确了解城市地区的污染水平对于授权的政府服务部门和社区都至关重要。对于污染严重的城市地区,例如雅典盆地,尤其如此。因此,即使对于非专业人员来说,也必须通过易于理解的方式来识别大气质量水平。因此,在这项研究中,我们尝试通过在17个测量站组成的网络中利用在雅典盆地中测量的空气污染物,应用两组不同的空气质量指数(AQI)(统计和生物气象),该网络由17个测量站组成。 2002年。 (AQI)的计算参考了所有17个测量站的数据,并且关注短期(每天)和长时间周期内的空气污染浓度水平。然后比较获得的统计指标和生物气象指标,以确定它们之间是否存在一致性。还确定了计算指标的组成以及对它们而言最重要的空气污染物。在一周中的每一天都采用此程序,以显示指数的每周周期,并可能隔离工作日和周末之间的空气质量差异。最后,两种频率分布的变化形式主要是由与影响有关的单一空气污染物的浓度范围引起的,这是典型的空气质量指数。特别是,PM_(10)和O_3似乎对确定空气质量指数的值具有更大的影响。

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