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Cumulative Impact Evaluation in Central Part of Liepaja with Comulative Pollution Index Method and Air Pollution Dispersion Modelling

机译:累积污染指数法和空气污染扩散模型在利耶帕亚中部的累积影响评价

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Cumulative impact evaluation is one of the most actual problems in air quality monitoring. At the same time, it is also the most problematic factor to evaluate due to lack of appropriate methodology. The aim of this study was to assess the opportunity to use a new method – Cumulative Pollution Index (CPI) in cumulative impact calculation from two different sets of data – bioindication survey with Index of Atmospheric Purity method and air pollution dispersion modelling. Results show that the usage of modelling data, instead of measurements, in cumulative impact evaluation can be quite difficult due to the fact that dispersion models not always give sufficiently accurate data. Despite the issues with modelling specifics, the use of dispersion modelling in CPI calculation shows that the use of this approach not only gives plausible data – obtained values correlate with pollution level and forming strong clustering in spatial distribution, but also reveals new facts about cumulative impact – demonstrates the city microclimate importance in forming of cumulative effect due to geometry of street canyons.
机译:累积影响评估是空气质量监测中最实际的问题之一。同时,由于缺乏适当的方法,这也是评估中最成问题的因素。这项研究的目的是评估从两个不同的数据集中使用累积污染指数(CPI)进行累积影响计算的新方法的机会-大气纯度指数法进行生物指示调查和空气污染扩散模型。结果表明,由于离散模型并不总是能够提供足够准确的数据,因此在累积影响评估中很难使用建模数据而不是度量。尽管建模细节存在问题,但在CPI计算中使用离散模型表明,此方法的使用不仅提供了合理的数据-获得的值与污染水平相关,并在空间分布中形成了强大的聚类,而且还揭示了有关累积影响的新事实。 –展示了由于街道峡谷的几何形状,城市微气候在形成累积效应中的重要性。

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