The Use of the Internet of Things for Estimating Personal Pollution Exposure.

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ID: 35739
2019
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Ranked #751 of 862 articles by views in International journal of environmental research and public health

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Abstract
This paper proposes a framework for an Air Quality Decision Support System (AQDSS), and as a proof of concept, develops an Internet of Things (IoT) application based on this framework. This application was assessed by means of a case study in the City of Madrid. We employed different sensors and combined outdoor and indoor data with spatiotemporal activity patterns to estimate the Personal Air Pollution Exposure (PAPE) of an individual. This pilot case study presents evidence that PAPE can be estimated by employing indoor air quality monitors and e-beacon technology that have not previously been used in similar studies and have the advantages of being low-cost and unobtrusive to the individual. In future work, our IoT application can be extended to include prediction models, enabling dynamic feedback about PAPE risks. Furthermore, PAPE data from this type of application could be useful for air quality policy development as well as in epidemiological studies that explore the effects of air pollution on certain diseases.
Reference Key
arano2019theinternational Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Arano, Keith April G;Sun, Shengjing;Ordieres-Mere, Joaquin;Gong, And Bing;
Journal International journal of environmental research and public health
Year 2019
DOI
E3130
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Keywords Keywords not found

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