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MANAGING AIR QUALITY BY 'DATA MINING'- Exploratory Statistical Analysis to Determine Causal Factors Affecting Pollutant Concentrations Close to a Motorway

机译:通过“数据挖掘”管理空气质量-探索性统计分析,确定影响高速公路附近污染物浓度的因果关系

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Local air quality has taken on a higher importance within Europe with the introduction of mandatory limits from 2010. However, local air pollution problems can be subject to site-specific circumstances not always picked-up by traditional modelling, especially in complex areas around large sources (e.g. motorways). The key to designing a successful ITS emissions reduction scheme is a detailed understanding of the site-specific problem to be addressed. Using work for the Highways Agency, this paper illustrates how a toolbox of statistical methods can be used to analyse local air quality problems.
机译:从2010年开始实施强制性限值,欧洲范围内的本地空气质量已变得越来越重要。但是,本地空气污染问题可能会因特定模型而未必总是因特定现场情况而受到影响,特别是在大型污染源周围的复杂地区(例如高速公路)。设计成功的ITS减排方案的关键是对要解决的特定地点问题的详细理解。本文利用公路局的工作,说明了如何使用统计方法的工具箱来分析当地的空气质量问题。

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