Attributing Air Pollutant Exposure to Emission Sources with Proximity Sensing
Ricardo Piedrahita 1, Evan R. Coffey 1,*
, Yolanda Hagar 2, Ernest Kanyomse 3, Katelin Verploeg 1, Christine Wiedinmyer 4,5, Katherine L. Dickinson 6, Abraham Oduro 3 and Michael P. Hannigan 1
, Yolanda Hagar 2, Ernest Kanyomse 3, Katelin Verploeg 1, Christine Wiedinmyer 4,5, Katherine L. Dickinson 6, Abraham Oduro 3 and Michael P. Hannigan 1
1
Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO 80309, USA
2
Department of Applied Mathematics, University of Colorado Boulder, Boulder, CO 80309-0526, USA
3
Navrongo Health Research Center, P.O. Box 114, Navrongo, Upper East Region, Ghana
4
Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO 80309, USA
5
National Center for Atmospheric Science, Boulder, CO 80307-3000, USA
6
Department of Environmental and Occupational Health, Colorado School of Public Health, Aurora, CO 80045, USA
*
Author to whom correspondence should be addressed.
Atmosphere 2019, 10(7), 395; https://doi.org/10.3390/atmos10070395
Received: 30 May 2019 / Revised: 4 July 2019 / Accepted: 4 July 2019 / Published: 13 July 2019
(This article belongs to the Special Issue Household Cooking and Space Heating: Effects on Air Pollution, Climate Change, and Human Health)
Abstract
Biomass burning for home energy use contributes to negative health outcomes and environmental degradation. As part of the REACCTING study (Research on Emissions, Air quality, Climate, and Cooking Technologies in Northern Ghana), personal exposure to carbon monoxide (CO) was measured to gauge the effects of introducing two different cookstove types over four intervention groups. A novel Bluetooth Low-Energy (BLE) Beacon system was deployed on a subset of those CO measurement periods to estimate participants’ distances to their most-used cooking areas during the sampling periods. In addition to presenting methods and validation for the BLE Beacon system, here we present pollution exposure assessment modeling results using two different approaches, in which time-activity (proximity) data is used to: (1) better understand exposure and behaviors within and away from homes; and (2) predict personal exposure via microenvironment air quality measurements. Model fits were improved in both cases, demonstrating the benefits of the proximity measurements. View Full-TextKeywords:
exposure; carbon monoxide; cooking; time-activity; proximity
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Piedrahita, R.; Coffey, E.R.; Hagar, Y.; Kanyomse, E.; Verploeg, K.; Wiedinmyer, C.; Dickinson, K.L.; Oduro, A.; Hannigan, M.P. Attributing Air Pollutant Exposure to Emission Sources with Proximity Sensing. Atmosphere 2019, 10, 395.
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