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- W4387578915 abstract "<strong class=journal-contentHeaderColor>Abstract.</strong> Globally, billions of people burn fuels indoors for cooking and heating, which contributes to millions of chronic illnesses and premature deaths annually. Additionally, residential burning contributes significantly to black carbon emissions, which have the highest global warming impacts after carbon dioxide and methane. In this study, we use Fourier transform infrared spectroscopy (FTIR) to analyze fine particulate emissions collected on Teflon membrane filters from fifteen cookstove types and five fuel types. Emissions from three fuel types (charcoal, kerosene, and red oak wood) were found to have enough FTIR spectral response for functional group (FG) analysis. We present distinct spectral profiles for particulate emissions of these three fuel types. We highlight the influential FGs constituting organic carbon (OC) using a multivariate statistical method and show that OC estimates by collocated FTIR and thermal optical transmittance (TOT) are highly correlated, with a coefficient of determination of 82.5 %. As FTIR analysis is fast, non-destructive, and provides complementary FG information, the analysis method demonstrated herein can substantially reduce the need for thermal-optical measurements for source emissions." @default.
- W4387578915 created "2023-10-13" @default.
- W4387578915 creator A5070023184 @default.
- W4387578915 date "2023-10-12" @default.
- W4387578915 modified "2023-10-14" @default.
- W4387578915 title "Reply on RC1" @default.
- W4387578915 doi "https://doi.org/10.5194/amt-2023-90-ac2" @default.
- W4387578915 hasPublicationYear "2023" @default.
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