Typical daily profiles of PM concentrations in parisian underground railway stations

TL;DR

This study develops a methodology to establish reliable daily profiles of PM10 and PM2.5 concentrations in Parisian underground railway stations, aiding air quality assessment with short-term measurements.

Contribution

It introduces a versatile data cleaning and profiling method applicable to different particle types and stations, improving understanding of underground air quality.

Findings

Reliable daily PM profiles can be obtained within one to two weeks.

The methodology effectively filters inconsistent and aberrant data.

Profiles are consistent across different stations and particle classes.

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).