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Kitchen Area Air Quality Measurements in Northern Ghana: Evaluating the Performance of a Low-Cost Particulate Sensor within a Household Energy Study

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dc.contributor.author Coffey, Evan R.
dc.contributor.author Pfotenhauer, David
dc.contributor.author Mukherjee, Anondo
dc.contributor.author Agao, Desmond
dc.contributor.author Moro, Ali
dc.contributor.author Dalaba, Maxwell
dc.contributor.author Begay, Taylor
dc.contributor.author Banacos, Natalie
dc.contributor.author Oduro, Abraham
dc.contributor.author Dickinson, Katherine L.
dc.contributor.author Hannigan, Michael P.
dc.date.accessioned 2023-09-30T14:16:01Z
dc.date.available 2023-09-30T14:16:01Z
dc.date.issued 2019-07-16
dc.identifier.uri http://hdl.handle.net/123456789/8793
dc.description.abstract Household air pollution from the combustion of solid fuels is a leading global health and human rights concern, affecting billions every day. Instrumentation to assess potential solutions to this problem faces challenges—especially related to cost. A low-cost ($159) particulate matter tool called the Household Air Pollution Exposure (HAPEx) Nano was evaluated in the field as part of the Prices, Peers, and Perceptions cookstove study in northern Ghana. Measurements of temperature, relative humidity, absolute humidity, and carbon dioxide and carbon monoxide concentrations made at 1-min temporal resolution were integrated with 1-min particulate matter less than 2.5 microns in diameter (PM2.5 ) measurements from the HAPEx, within 62 kitchens, across urban and rural households and four seasons totaling 71 48-h deployments. Gravimetric filter sampling was undertaken to ground-truth and evaluate the low-cost measurements. HAPEx baseline drift and relative humidity corrections were investigated and evaluated using signals from paired HAPEx, finding significant improvements. Resulting particle coefficients and integrated gravimetric PM2.5 concentrations were modeled to explore drivers of variability; urban/rural, season, kitchen characteristics, and dust (a major PM2.5 mass constituent) were significant predictors. The high correlation (R2 = 0.79) between 48-h mean HAPEx readings and gravimetric PM2.5 mass (including other covariates) indicates that the HAPEx can be a useful tool in household energy studies. en_US
dc.language.iso en en_US
dc.publisher University of Cape Coast en_US
dc.subject particulate matter en_US
dc.subject low-cost sensors en_US
dc.subject cooking en_US
dc.subject particle coefficients en_US
dc.subject household pollution en_US
dc.subject gravimetric filter en_US
dc.title Kitchen Area Air Quality Measurements in Northern Ghana: Evaluating the Performance of a Low-Cost Particulate Sensor within a Household Energy Study en_US
dc.type Article en_US


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