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Sensor Applications for Measuring Air Quality in Remote and Developing Locations

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".

Deadline for manuscript submissions: closed (31 January 2023) | Viewed by 3715

Special Issue Editors


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Guest Editor
US EPA, Office of Research and Development, Center for Environmental Measurement & Modeling, Research Triangle Park, Durham, NC 27711, USA
Interests: air quality; emissions; transportation; green infrastructure
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC 27711, USA
Interests: air quality monitoring; near-source monitoring; air sensors; citizen science/crowdsourcing; source apportionment modeling

Special Issue Information

Dear Colleagues,

Increasing public awareness of the severity of health risks posed by exposure to air pollution has led to a greater need to measure air quality. Interest in understanding air pollution has particularly increased for locations that have not historically been measured due to remoteness or lack of air monitoring infrastructure. In response to this increased awareness and the need for air quality data, new technologies have been developed to measure air pollution concentrations to broaden the types and locations where measurements can be collected.

This Special Issue focuses on state-of-the-art research in developing sensor technologies to measure air pollution and applying these techniques in locations with historically little or no data collected. Contributions are invited for the development and applications of approaches ranging from portable air sensors to using satellite measurement techniques. Contributions are also encouraged on advances in analyzing these large datasets, data fusion methods, and communicating results for improved decision-making on environmental and public health issues. The submissions can cover, but need not be limited to, the following topics:

  • Development and application of portable air sensors;
  • Advances in mobile monitoring platforms and data analysis;
  • Advances and applications of satellite and other remote sensing techniques for air pollution measurements;
  • Evaluations and interpretation of the performance and quality of sensor measurements;
  • Data analysis and modeling of air quality data collected by advanced sensor devices;
  • Applications of advanced sensor techniques and data fusion approaches, particularly in locations with historically little to no air quality data available;
  • Analysis of the use of sensor data for decision-making and policy advancements;
  • Application of citizen science and crowdsourcing approaches using sensors for locations with limited or no historical monitoring data;
  • Any other related topic.

Dr. Richard Baldauf
Dr. Rachelle Duvall
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • air quality
  • air sensors
  • remote sensing
  • satellite measurements
  • mobile monitoring
  • exposure assessment
  • environmental policy

Published Papers (1 paper)

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Research

12 pages, 2171 KiB  
Article
Integrating Personal Air Sensor and GPS to Determine Microenvironment-Specific Exposures to Volatile Organic Compounds
by Michael S. Breen, Vlad Isakov, Steven Prince, Kennedy McGuinness, Peter P. Egeghy, Brent Stephens, Saravanan Arunachalam, Dan Stout, Richard Walker, Lillian Alston, Andrew A. Rooney, Kyla W. Taylor and Timothy J. Buckley
Sensors 2021, 21(16), 5659; https://doi.org/10.3390/s21165659 - 23 Aug 2021
Cited by 2 | Viewed by 2963
Abstract
Personal exposure to volatile organic compounds (VOCs) from indoor sources including consumer products is an understudied public health concern. To develop and evaluate methods for monitoring personal VOC exposures, we performed a pilot study and examined time-resolved sensor-based measurements of geocoded total VOC [...] Read more.
Personal exposure to volatile organic compounds (VOCs) from indoor sources including consumer products is an understudied public health concern. To develop and evaluate methods for monitoring personal VOC exposures, we performed a pilot study and examined time-resolved sensor-based measurements of geocoded total VOC (TVOC) exposures across individuals and microenvironments (MEs). We integrated continuous (1 min) data from a personal TVOC sensor and a global positioning system (GPS) logger, with a GPS-based ME classification model, to determine TVOC exposures in four MEs, including indoors at home (Home-In), indoors at other buildings (Other-In), inside vehicles (In-Vehicle), and outdoors (Out), across 45 participant-days for five participants. To help identify places with large emission sources, we identified high-exposure events (HEEs; TVOC > 500 ppb) using geocoded TVOC time-course data overlaid on Google Earth maps. Across the 45 participant-days, the MEs ranked from highest to lowest median TVOC were: Home-In (165 ppb), Other-In (86 ppb), In-Vehicle (52 ppb), and Out (46 ppb). For the two participants living in single-family houses with attached garages, the median exposures for Home-In were substantially higher (209, 416 ppb) than the three participant homes without attached garages: one living in a single-family house (129 ppb), and two living in apartments (38, 60 ppb). The daily average Home-In exposures exceeded the estimated Leadership in Energy and Environmental Design (LEED) building guideline of 108 ppb for 60% of the participant-days. We identified 94 HEEs across all participant-days, and 67% of the corresponding peak levels exceeded 1000 ppb. The MEs ranked from the highest to the lowest number of HEEs were: Home-In (60), Other-In (13), In-Vehicle (12), and Out (9). For Other-In and Out, most HEEs occurred indoors at fast food restaurants and retail stores, and outdoors in parking lots, respectively. For Home-In HEEs, the median TVOC emission and removal rates were 5.4 g h−1 and 1.1 h−1, respectively. Our study demonstrates the ability to determine individual sensor-based time-resolved TVOC exposures in different MEs, in support of identifying potential sources and exposure factors that can inform exposure mitigation strategies. Full article
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