An Approach to Monitoring Particulate Matter Based Pollution Using Low-Cost Sensing

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Abstract

Particulate matter based pollution has a health impact on ‘at-risk’ individuals requiring monitoring to reduce and inform the population of exposure. These ‘at-risk’ individuals are those with respiratory and pulmonary illnesses. Currently pollution is monitored by High-Cost pollution sensors (HCPS) which can be deployed in limited fashion due to expense. A low-cost alternative can be used to provide greater sensor density for the same budget there-by better informing the ‘at-risk’ population. This study compares the accuracy of low-cost particulate matter sensors as an alternative to a HCPS that are generally used for this purpose. In our evaluation a low-cost sensor was co-located with a HCPS for a period of one month. Data was collected from both sensors in order to enable a comparison. Raw data comparison showed that readings generated from our low-cost sensor fell within the same Air Quality Index (AQI) banding as data from the HCPS. Although the data produced by the low-cost sensor is functionally accurate (classification of pollution within the AQI bands), accuracy could be improved using an algorithmic calibration curve. This could allow for many low-cost systems to be deployed across a wider geographical city area, improving coverage. Helping in-forming the general public of risks and measure to reduce exposure.
Original languageEnglish
Title of host publication Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022)
EditorsJosé Bravo, Sergio Ochoa, Jesús Favela
Pages654-666
Number of pages13
ISBN (Electronic)978-3-031-21333-5
DOIs
Publication statusPublished online - 21 Nov 2022
Event14th International Conference on Ubiquitous Computing and Ambient Intelligence - HOTEL HESPERIA CÓRDOBA Av. Fray Albino Córdoba, Cordoba, Spain
Duration: 29 Nov 20222 Dec 2022
https://www.ucami.org/index.html

Publication series

NameLecture Notes in Networks and Systems
Volume594 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference14th International Conference on Ubiquitous Computing and Ambient Intelligence
Abbreviated titleUCAml
Country/TerritorySpain
CityCordoba
Period29/11/222/12/22
Internet address

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Low-Cost
  • Sensors
  • air pollution
  • particulate matter
  • Calibration
  • Low-cost
  • Particulate matter
  • Air pollution
  • Sensor

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