A machine learning field calibration method for improving the performance of low-cost particle sensors

Patra, Satya S.; Ramsisaria, Rishabh; Du, Ruihang; Wu, Tianren; Boor, Brandon E.

doi:10.1016/j.buildenv.2020.107457

Cited by 28 publications

(13 citation statements)

References 54 publications

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“…Reports suggest that PM pollution in India is one of the highest globally (Balakrishnan et al 2019). Moreover, it is well established in the epidemiological literature that prolonged exposure to PM toxins is detrimental to human health (Patra et al 2021). In fact, India poses the highest burden of infant mortality due to air pollution (Nandi 2020).…”

Section: Methodsmentioning

confidence: 99%

Estimating the Inadvertent Decrement in Mortality due to Reduction in Ambient Fine Particulate Concentrations During COVID-19 Lockdown in India

2021

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The adverse health effects of long and short-term exposure to ambient air pollutants are well established in the epidemiological literature. Amongst all pollutants, fine particulate matter (PM 2.5), poses a significant mortality risk because of its toxicity and extensive human exposure. During COVID-19 lockdowns, numerous studies have reported a reduction in ambient PM 2.5 concentrations due to decreased anthropogenic activities. Therefore, potential health benefits are plausible during this period. In this pursuit, the current study aims to estimate the potential deaths that might have been avoided due to the reductions in PM 2.5 levels during COVID-19 lockdowns in India's 12 states. For the same, concentration-response functions are developed, and the changes in PM 2.5 levels were calculated. Overall, PM 2.5 levels in the analysed states decreased by an average of 19.61 µg/m 3 (SD = 10.34 µg/m 3) during the months of April-June 2020 compared to the previous year. The concentration-response coefficient (β) obtained for the Indian states is 0.02272 (0.01063-0.03481, 95% Confidence Interval). Upon using these values in the calculation, our analysis estimates that nearly 73,853-92,116 mortalities might have been avoided in the 12 analysed Indian states for the period of April-June 2020 due to the COVID-19 lockdown. Given the high levels of PM 2.5 in India with its well-known associated health risks and the results of this study, it is likely that the number of lives potentially saved during the COVID-19 lockdown due to reduced concentrations of PM 2.5 might surpass the COVID-19 deaths in the country.

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Section: Methodsmentioning

confidence: 99%

Estimating the Inadvertent Decrement in Mortality due to Reduction in Ambient Fine Particulate Concentrations During COVID-19 Lockdown in India

2021

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“…Although the OPS is not a regulatory reference instrument, it has been widely used in previous studies and has shown good agreement with other research-grade instruments. 46,47 The four AQM models used in this study are also listed in Table 1. Two identical units were deployed for each AQM model.…”

Section: Instrumentationmentioning

confidence: 99%

Assessment of PM_2.5 concentrations, transport, and mitigation in indoor environments using low-cost air quality monitors and a portable air cleaner

Sankhyan

Witteman

Coyan

et al. 2022

Environ. Sci.: Atmos.

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“…There has been significant research on the design, assessment, and use of low-cost optical particle counters, however, such sensors cannot reliably detect sub-300 nm particles. [52][53][54]…”

Section: Con Clus Ionsmentioning

confidence: 99%

High time‐resolution measurements of ultrafine and fine woodsmoke aerosol number and surface area concentrations in biomass burning kitchens: A case study in Western Kenya

et al. 2022

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In order to obtain global indoor air quality equity, it is imperative to target efforts in potential high-impact areas, which are often those limited in resources needed for improvement; yet the majority of indoor air studies are focused on regions with a lower burden of disease. 1 Human exposure campaigns conducted in locations where people are the most vulnerable can compel risk studies linking indoor air pollution and individual health outcomes. 1 Modeling data that is collected in real situations can be used to predict wider exposure trends and potential public health advancements that can result from achieving worldwide indoor air quality improvements. 2 Such exposure research combined with evidence of successful

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A machine learning field calibration method for improving the performance of low-cost particle sensors

Cited by 28 publications

References 54 publications

Estimating the Inadvertent Decrement in Mortality due to Reduction in Ambient Fine Particulate Concentrations During COVID-19 Lockdown in India

Estimating the Inadvertent Decrement in Mortality due to Reduction in Ambient Fine Particulate Concentrations During COVID-19 Lockdown in India

Assessment of PM_2.5 concentrations, transport, and mitigation in indoor environments using low-cost air quality monitors and a portable air cleaner

High time‐resolution measurements of ultrafine and fine woodsmoke aerosol number and surface area concentrations in biomass burning kitchens: A case study in Western Kenya

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A machine learning field calibration method for improving the performance of low-cost particle sensors

Cited by 28 publications

References 54 publications

Estimating the Inadvertent Decrement in Mortality due to Reduction in Ambient Fine Particulate Concentrations During COVID-19 Lockdown in India

Estimating the Inadvertent Decrement in Mortality due to Reduction in Ambient Fine Particulate Concentrations During COVID-19 Lockdown in India

Assessment of PM2.5 concentrations, transport, and mitigation in indoor environments using low-cost air quality monitors and a portable air cleaner

High time‐resolution measurements of ultrafine and fine woodsmoke aerosol number and surface area concentrations in biomass burning kitchens: A case study in Western Kenya

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Product

Resources

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Assessment of PM_2.5 concentrations, transport, and mitigation in indoor environments using low-cost air quality monitors and a portable air cleaner