Valisoa RakotonirinjanaharyPC2A, Suzanne CrumeyrolleLOA, Mateusz BogdanPC2A, Benjamin HanounePC2A
{"title":"巴黎地铁站 PM 浓度的典型日分布图","authors":"Valisoa RakotonirinjanaharyPC2A, Suzanne CrumeyrolleLOA, Mateusz BogdanPC2A, Benjamin HanounePC2A","doi":"arxiv-2409.08291","DOIUrl":null,"url":null,"abstract":"To enhance the understanding of air quality within underground railway\nstations (URS), a methodology has been developed to establish a baseline\nprofile of particle concentrations (PM10 and PM2.5). This approach incorporates\nan extensive data cleaning process based on the identification of URS operation\nperiods, physically inconsistent or mathematically aberrant data, and comparing\nthe profile of each day to an average profile. The versatility of this\nmethodology allows its application to different particle classes within various\nURS. The results obtained from the three studied URS indicate the possibility\nof obtaining reliable daily typical profiles even over short measurement\nperiods (up to one or two weeks).","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":"117 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Typical daily profiles of PM concentrations in parisian underground railway stations\",\"authors\":\"Valisoa RakotonirinjanaharyPC2A, Suzanne CrumeyrolleLOA, Mateusz BogdanPC2A, Benjamin HanounePC2A\",\"doi\":\"arxiv-2409.08291\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To enhance the understanding of air quality within underground railway\\nstations (URS), a methodology has been developed to establish a baseline\\nprofile of particle concentrations (PM10 and PM2.5). This approach incorporates\\nan extensive data cleaning process based on the identification of URS operation\\nperiods, physically inconsistent or mathematically aberrant data, and comparing\\nthe profile of each day to an average profile. The versatility of this\\nmethodology allows its application to different particle classes within various\\nURS. The results obtained from the three studied URS indicate the possibility\\nof obtaining reliable daily typical profiles even over short measurement\\nperiods (up to one or two weeks).\",\"PeriodicalId\":501043,\"journal\":{\"name\":\"arXiv - PHYS - Physics and Society\",\"volume\":\"117 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Physics and Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.08291\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Physics and Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.08291","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Typical daily profiles of PM concentrations in parisian underground railway stations
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).