Typical daily profiles of PM concentrations in parisian underground railway stations

Valisoa RakotonirinjanaharyPC2A, Suzanne CrumeyrolleLOA, Mateusz BogdanPC2A, Benjamin HanounePC2A
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Abstract

To enhance the understanding of air quality within underground railway stations (URS), a methodology has been developed to establish a baseline profile of particle concentrations (PM10 and PM2.5). This approach incorporates an extensive data cleaning process based on the identification of URS operation periods, physically inconsistent or mathematically aberrant data, and comparing the profile of each day to an average profile. The versatility of this methodology allows its application to different particle classes within various URS. The results obtained from the three studied URS indicate the possibility of obtaining reliable daily typical profiles even over short measurement periods (up to one or two weeks).
巴黎地铁站 PM 浓度的典型日分布图
为了加强对地下铁道站(URS)内空气质量的了解,我们开发了一种方法来建立颗粒物浓度(PM10 和 PM2.5)的基准剖面图。这种方法包含一个广泛的数据清理过程,其基础是识别 URS 运行期、物理上不一致或数学上异常的数据,并将每天的剖面图与平均剖面图进行比较。这种方法的多功能性使其适用于各种 URS 中的不同颗粒类别。从所研究的三个 URS 中获得的结果表明,即使在较短的测量期内(最长一到两周),也有可能获得可靠的每日典型剖面图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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