2022
DOI: 10.1016/j.atmosenv.2022.119255
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Spatial distribution of particulate matter on winter nights in Temuco, Chile: Studying the impact of residential wood-burning using mobile monitoring

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Cited by 6 publications
(3 citation statements)
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“…The highest concentrations are predicted along the most populated areas outside of the town center. This is consistent with our results observed in the previous mobile monitoring study 71 and the kriging analyses 52 that suggested a possible spatial clustering. When comparing the ratio maps, the levoglucosan/PM 2.5 ratio showed higher values in the borders and zones with slightly lower SES, which can be related to preference for wood for heating their houses 110 and the use of lower-quality stoves making the combustion more inefficient.…”
Section: Discussionmentioning
confidence: 99%
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“…The highest concentrations are predicted along the most populated areas outside of the town center. This is consistent with our results observed in the previous mobile monitoring study 71 and the kriging analyses 52 that suggested a possible spatial clustering. When comparing the ratio maps, the levoglucosan/PM 2.5 ratio showed higher values in the borders and zones with slightly lower SES, which can be related to preference for wood for heating their houses 110 and the use of lower-quality stoves making the combustion more inefficient.…”
Section: Discussionmentioning
confidence: 99%
“…72 These studies show clear evidence of the seasonal trends of common air pollutants; however, only a few studies have investigated the spatial variability of PM 2.5 due to woodburning in Chile. 52,71,73,74 Studies that have analyzed the health effects of woodburning air pollution are scarce and have mostly focused on studying short-term exposures 58,59,65,75,76 and with no studies so far evaluating long-term exposures. Health studies require longer-term exposure models, which are built using longerterm measurements, including source tracers, and considering spatio-temporal trends.…”
Section: Introductionmentioning
confidence: 99%
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