TY  - JOUR
AU  - Arano, Keith April G.
AU  - Sun, Shengjing
AU  - Ordieres-Mere, Joaquin
AU  - Gong, Bing
TI  - The Use of the Internet of Things for Estimating Personal Pollution Exposure
JO  - International journal of environmental research and public health
VL  - 16
IS  - 17
SN  - 1660-4601
CY  - Basel
PB  - MDPI AG
M1  - FZJ-2019-04495
SP  - 3130
PY  - 2019
AB  - 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.
LB  - PUB:(DE-HGF)16
C6  - pmid:31466302
UR  - <Go to ISI:>//WOS:000487037500125
DO  - DOI:10.3390/ijerph16173130
UR  - https://juser.fz-juelich.de/record/864848
ER  -