Determining aerosol type using a multichannel DustTrak DRX

Chang, Lisa T.-C.; Leys, John; Heidenreich, Stephan; Koen, Terry

doi:10.1016/j.jaerosci.2018.08.009

Cited by 5 publications

(5 citation statements)

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“…Similar tests were carried out for DustTrak and the gravimetric method. The tests were based on Guide to the demonstration of equivalence of ambient air monitoring methods [23] and other studies where DustTrak was used [24][25][26]. Five 8-h simultaneous measurements of PM 4 and TSP concentrations were carried out using the optical and gravimetric methods inside and outside the hall, in summer and winter season.…”

Section: Sampling Methodsmentioning

confidence: 99%

Size-Segregated Particulate Matter in a Selected Sports Facility in Poland

2019

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The aims of this study were to determine the concentration of particulate matter, analyze the percentage share of four particulate matter subfractions (PM1, PM2.5, PM4, PM10) in TSP (total mass of particulate matter (PM)) in a typical Polish sports hall at different day periods during heating and non-heating seasons, and compare the average daily doses of respirable dust (PM4) for three groups of the sports hall users (pupils, teachers, and athletes). Gravimetric measurements of PM4 and TSP concentrations and optical measurements of the concentrations of five PM fractions (PM1, PM2.5, PM4, PM10, PM100) were conducted for 8 hours a day, simultaneously inside and outside the hall, for 20 days each in summer and winter. During training, PM mass was concentrated mainly in coarse particles (PM2.5–100) (summer—55%, winter—35%). Without activity, the main part of PM mass was from fine particles (PM2.5, summer—59%, winter—75%). In summer, PM inside the hall originated mainly from internal sources. In winter, the fine PM concentration was affected by outdoor sources. The daily doses of PM4 for different groups of sports hall users indicate that the health exposure of sports practitioners to PM may be greater than for non-practitioners staying in the same conditions.

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Section: Sampling Methodsmentioning

confidence: 99%

Size-Segregated Particulate Matter in a Selected Sports Facility in Poland

2019

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“…The eastern Australia Black Summer mega-fires caused a considerable amount of smoke in 2019/20 (Rodney et al 2021;Ryan et al 2021). The quality assurance methods used by DW, as outlined in Leys et al (2018), plus our experience with discriminating dust from other aerosols using DustTraks, as outlined in Chang et al (2018), provide confidence that the aerosol data used in this study were dust.…”

Section: Dust Storm-day Frequencymentioning

confidence: 80%

“…The correction factor is not recommended for other instruments such as the tapered element oscillating microbalances (TEOM). Chang et al (2018) reported no PM10 relationship between the 8532 DRX and the TEOM.…”

Section: Dustwatch/rural Air Quality Network Datamentioning

confidence: 99%

“…Hereafter, we refer to the output of both DustTrak ® models as particulate matter less than 10 µm (PM10), noting that it is not the same as aerodynamic PM10 measured by other instruments. Different particle sizes are critical for classifying dust hours (Chang et al 2018). During the 'Black Summer' bushfires (July 2019 to March 2020; Rodney et al 2021;Ryan et al 2021), particle measurements could be dust, smoke, or a mixture of both.…”

Section: Dustwatch/rural Air Quality Network Datamentioning

confidence: 99%

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Dust-storm frequencies, community attitudes, government policy and land management practices during three major droughts in New South Wales, Australia

et al. 2023

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This study assessed whether dust-storm frequency during major droughts in New South Wales (NSW), Australia, has changed and what may have caused any change. The frequency of days with dust storms, i.e. when visibility is <1000 m, is presented for the dust storm year (July to June), with the maximum number of dust storms for three major droughts, namely, 2017/20, Millennial and World War II droughts. Community attitudes, government policy and land management practices have changed since the 1940s, and these factors were reviewed to determine whether they explain changes in dust-storm frequency. Two data sources were used: meteorological weather codes from the Australian Bureau of Meteorology and dust particulate matter <10 µm (PM10) from the DustWatch/Rural Air Quality Monitoring Network. The particulate-matter data were converted to dust-storm days (DSD) to create a yearly time series. The meteorological data records were coded as dust storms and required no modification. Results showed that 1944/45 was the dustiest year, with 4.4 times more DSD than in 2019/20 and 9.9 times more DSD than in 2009/10. One reason for the higher DSD in 2019/20 than in 2009/10 was the area protected from wind erosion by vegetation cover above 50%. In 2019/20, 69% of NSW was protected from wind erosion, compared with 79% in 2009/10. We suggest the primary reasons for lower DSD in 2019/20 and 2009/10 than in 1944/45 were community attitudes, government policy and land management practices; these, in combination, help maintain vegetation cover. Since the 1940s, the focus of land management has changed from 'taming the land' to 'sustainably using the land'. Government policy in the 2000s is focused on supporting farming businesses and communities to manage and prepare so as to successfully manage drought. Land management practices that maintain ground cover are now widely practised.

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“…Devido às limitações do monitoramento convencional, diversos estudos vêm sendo realizados utilizando formas alternativas para determinação de poluentes, como o sensoriamento remoto por satélites (PRUD'HOMME et al, 2013;YUAN et al, 2018;XIAN et al, 2020) e a utilização de sensores móveis (KINGHAM et al, 2006;CHANG et al, 2018;KRECL et al, 2018). Outra forma também difundida nos estudos da poluição atmosférica é o biomonitoramento, técnica que será abordada neste trabalho.…”

Section: Poluição Atmosférica E Monitoramentounclassified

Estudo comparativo entre a bromélia >i<Tillandsia usneoides>/i< e as cascas da árvore >i<Tipuana tipu>/i< para uso no biomonitoramento ativo da poluição atmosférica

Ishimaru¹

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por compartilhar seus conhecimentos comigo em uma orientação generosa e por contribuir com seu olhar atento, rigor, dedicação e disciplina para o desenvolvimento desta pesquisa. Aos meus familiares, em especial à minha mãe Ana Claudia e ao meu pai Alvaro, por todo apoio, cuidado, compreensão e incentivo que sempre me proporcionam. Aos professores, pesquisadores e funcionários do Centro do Reator de Pesquisas que contribuíram direta ou indiretamente para a concretização deste trabalho, em especial ao Prof. Dr. Edson Gonçalves Moreira e à Profa. Dra. Vera Akiko Maihara por seus conhecimentos compartilhados, pela disponibilidade e por todas as sugestões e as contribuições dadas ao trabalho.

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Determining aerosol type using a multichannel DustTrak DRX

Cited by 5 publications

References 30 publications

Size-Segregated Particulate Matter in a Selected Sports Facility in Poland

Size-Segregated Particulate Matter in a Selected Sports Facility in Poland

Dust-storm frequencies, community attitudes, government policy and land management practices during three major droughts in New South Wales, Australia

Estudo comparativo entre a bromélia >i<Tillandsia usneoides>/i< e as cascas da árvore >i<Tipuana tipu>/i< para uso no biomonitoramento ativo da poluição atmosférica

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