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Multi-exposition en milieu urbain : approche multi-echelle de l'exposition humaine au bruit et à la pollution atmosphérique

机译:城市环境中的多重暴露:人类暴露于噪音和空气污染的多尺度方法

摘要

Every day, 15% of the European population is exposed to average noise or air pollution levels exceeding theEuropean legal threshold. Levels and distribution of each pollutant across the city depend of individual sourcesemissions, dispersion phenomenon, and urban environment. Consequently, spatial variability of multi-exposure levelremains mostly unknown. The aim of this Ph. D. thesis is to identify and describe multi-exposure situations in the cityof Besançon. Environmental noise levels, and concentrations of several air pollutants (NO2, benzene, PM10 and PM2.5),have been modeled using a fine scale grid (2m x 2m). Model compatibility has been maximized by the use of commoninput into the calculation software Mithra-SIG (for noise) and COPERT4/ADMS-urban (for air pollutants). In a firsttime, impact of the neighborhood definition on exposure levels has been explored for both pollutions. Twelveindicators, each representing a different definition of the exposure area in the dwelling vicinity, have been used toquantify exposure levels around the 10 865 inhabitable building of Besançon. Obtained results show a significantimpact of the neighborhood definition on the exposure levels. Different neighborhood definitions lead to a differentialbias caused by a different accounting for environmental variables. This bias exists for all studied pollutant, but indifferent proportion depending on the pollutant. In a second time, situations of multi-exposure to noise and NO2 havebeen identified in the city. Results indicate a complex relation between pollutants and allow the description of severalmulti-exposure situations across the city. This work constitute one of the firsts approaches of this kind in France andallow a better understanding of the existing relations between neighborhood, exposure area, environmental parametersand exposure levels.
机译:每天,有15%的欧洲人口面临的平均噪音或空气污染水平超过了欧洲法律规定的标准。城市中每种污染物的水平和分布取决于单个来源的排放,扩散现象和城市环境。因此,多重暴露水平的空间变异性仍然是未知的。本博士学位论文的目的是识别和描述贝桑松市的多重接触情况。环境噪声水平以及几种空气污染物(NO2,苯,PM10和PM2.5)的浓度已使用精细比例网格(2m x 2m)进行了建模。通过使用计算软件Mithra-SIG(用于噪声)和COPERT4 / ADMS-urban(用于空气污染物)的通用输入,可以最大程度地提高模型的兼容性。首次研究了两种污染的邻里定义对暴露水平的影响。十二个指示符分别表示居住区附近暴露区域的不同定义,用于量化贝桑松10 865座可居住建筑物周围的暴露水平。获得的结果表明邻域定义对暴露水平有重大影响。不同的邻域定义导致对环境变量的不同解释导致的差异偏见。对于所有研究的污染物均存在此偏差,但比例随污染物的不同而不同。在城市中,第二次发现了噪声和NO2多重暴露的情况。结果表明污染物之间存在复杂的关系,可以描述整个城市的多种多重暴露情况。这项工作是法国最早的此类方法之一,可以更好地了解邻里,暴露区域,环境参数和暴露水平之间的现有关系。

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    tenailleau quentin;

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  • 年度 2014
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  • 原文格式 PDF
  • 正文语种 fr
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