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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/146
Title: Towards an integrated framework for air quality monitoring and exposure estimation—a review
Authors: Singla S.
Bansal D.
Misra A.
Raheja, Gaurav
Published in: Environmental Monitoring and Assessment
Abstract: For the health and safety of the public, it is essential to measure spatiotemporal distribution of air pollution in a region and thus monitor air quality in a fine-grain manner. While most of the sensing-based commercial applications available until today have been using fixed environmental sensors, the use of personal devices such as smartphones, smartwatches, and other wearable devices has not been explored in depth. These kinds of devices have an advantage of being with the user continuously, thus providing an ability to generate accurate and well-distributed spatiotemporal air pollution data. In this paper, we review the studies (especially in the last decade) done by various researchers using different kinds of environmental sensors highlighting related techniques and issues. We also present important studies of measuring impact and emission of air pollution on human beings and also discuss models using which air pollution inhalation can be associated to humans by quantifying personal exposure with the use of human activity detection. The overarching aim of this review is to provide novel and key ideas that have the potential to drive pervasive and individual centric and yet accurate pollution monitoring techniques which can scale up to the future needs. © 2018, Springer Nature Switzerland AG.
Citation: Environmental Monitoring and Assessment(2018), 190(9): -
URI: https://doi.org/10.1007/s10661-018-6940-8
http://repository.iitr.ac.in/handle/123456789/146
Issue Date: 2018
Publisher: Springer International Publishing
Keywords: Activity recognition
Air pollution maps
Air pollution monitoring
Crowdsensing
Exposure estimation
Mobile sensing
Sensing
Smart environments
Ubiquitous sensing
ISSN: 1676369
Author Scopus IDs: 55220458700
36160122700
7402453752
56201927000
Author Affiliations: Singla, S., Punjab Engineering College, Chandigarh, India
Bansal, D., Punjab Engineering College, Chandigarh, India
Misra, A., Singapore Management University, Singapore, Singapore
Raheja, G., Indian Institute of Technology, Roorkee, India
Corresponding Author: Singla, S.; Punjab Engineering CollegeIndia; email: savina.singla@gmail.com
Appears in Collections:Journal Publications [AR]

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