A novel approach to the development of 1‐hour threshold concentrations for exposure to particulate matter during episodic air pollution events

Deary, Michael E.; Griffiths, Simon

doi:10.1016/j.jhazmat.2021.126334

Cited by 11 publications

(11 citation statements)

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“…However, in recent years the interest in short-term PM exposure has increased, particularly in urban areas. For this reason, the high-frequency data provided by AirQino stations were aggregated at 1-h resolution and, based on the approach proposed by [25], the occurrence of 1-h PM 10 concentrations above the threshold of 90 µg m −3 over the three test sites was calculated. The analysis indicated that the hourly sampling interval can be used to characterize short-term critical PM 10 concentration exposure, providing information on both the number of critical episodes and their persistence.…”

Section: Discussionmentioning

confidence: 99%

“…Finally, short-term population exposure was evaluated at high resolution (1 h) following the approach proposed by [25], which considers exceedances of 1-h threshold concentrations of 90 µg m −3 as a good predictor of exceedances of the PM 10 daily limit value (50 µg m −3 ). The analysis was carried out for the period 28 June 2018-15 April 2020 while excluding the co-location sub-periods.…”

Section: Data Processing and Statistical Analysismentioning

confidence: 99%

“…The 10-min peaks, observed by all AirQino stations when co-located (Figure 6c) as well as when not (Figure 6a,b), were steadily higher than the daily limit value and then ARPAT daily values. Furthermore, short-term population exposure was calculated following the approach proposed by [25]. The analysis was carried out for the period 28 June 2018-15 April 2020 while excluding the co-location sub-periods.…”

Section: Pm 10 Concentration High-frequency Analysis and Population C...mentioning

confidence: 99%

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Low-Cost Air Quality Stations’ Capability to Integrate Reference Stations in Particulate Matter Dynamics Assessment

et al. 2021

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Low-cost air quality stations can provide useful data that can offer a complete picture of urban air quality dynamics, especially when integrated with daily measurements from reference air quality stations. However, the success of such deployment depends on the measurement accuracy and the capability of resolving spatial and temporal gradients within a spatial domain. In this work, an ensemble of three low-cost stations named “AirQino” was deployed to monitor particulate matter (PM) concentrations over three different sites in an area affected by poor air quality conditions. Data of PM2.5 and PM10 concentrations were collected for about two years following a protocol based on field calibration and validation with a reference station. Results indicated that: (i) AirQino station measurements were accurate and stable during co-location periods over time (R2 = 0.5–0.83 and RMSE = 6.4–11.2 μg m−3; valid data: 87.7–95.7%), resolving current spatial and temporal gradients; (ii) spatial variability of anthropogenic emissions was mainly due to extensive use of wood for household heating; (iii) the high temporal resolution made it possible to detect time occurrence and strength of PM10 concentration peaks; (iv) the number of episodes above the 1-h threshold of 90 μg m−3 and their persistence were higher under urban and industrial sites compared to the rural area.

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Section: Discussionmentioning

confidence: 99%

Section: Data Processing and Statistical Analysismentioning

confidence: 99%

Section: Pm 10 Concentration High-frequency Analysis and Population C...mentioning

confidence: 99%

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Low-Cost Air Quality Stations’ Capability to Integrate Reference Stations in Particulate Matter Dynamics Assessment

et al. 2021

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“…Most of the studies that have examined human exposure thresholds are based on annual or daily values (e.g., WHO and EPA thresholds), but there are no guidelines or accepted thresholds for short-term (15 min to 1 h) exposure (Griffiths , 2018). The need for the development of short-term PM exposure guidance has become more crucial due to the increase in periods with short-term high PM concentrations (Deary and Griffiths, 2021). Many studies use short-term observation (mainly based on 1 h timescales) as a key to understanding the impact of episodic air pollution events with respect to the PM exposure, but the majority of studies have focused on wildfires and anthropogenic pollution (Griffiths et al, 2018;Brilli et al, 2021;Deary and Griffiths, 2021).…”

Section: Pm Concentration During the Three Dust Eventsmentioning

confidence: 99%

“…The need for the development of short-term PM exposure guidance has become more crucial due to the increase in periods with short-term high PM concentrations (Deary and Griffiths, 2021). Many studies use short-term observation (mainly based on 1 h timescales) as a key to understanding the impact of episodic air pollution events with respect to the PM exposure, but the majority of studies have focused on wildfires and anthropogenic pollution (Griffiths et al, 2018;Brilli et al, 2021;Deary and Griffiths, 2021). The idea of a short-term threshold is that an hourly sampling interval can be used to characterize short-term exposure to critical PM concentrations and to provide information on the number of critical episodes as well as their persistence (Brilli et al, 2021), which could be critical for convective dust events.…”

Section: Pm Concentration During the Three Dust Eventsmentioning

confidence: 99%

Particle size distribution and particulate matter concentrations during synoptic and convective dust events in West Texas

Ardon‐Dryer

Kelley

2022

Atmos. Chem. Phys.

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Abstract. Dust events are an important and complex constituent of the atmospheric system that can impact Earth's climate, the environment, and human health. The frequency of dust events in the Southern High Plains of West Texas has increased over the past 2 decades, yet their impact on air quality in this region is still unclear. This is due to the fact that there is only one air quality monitoring station that measures only PM2.5 concentrations (particulate matter with an aerodynamic diameter < 2.5 µm), and there is no information on other PM sizes or the particle size distribution. The Aerosol Research Observation Station (AEROS) unit provides insight into the local variation in particle concentration during different dust events and allows for a better understanding of the impact of dust events on air quality. As this area is prone to dust events, we were wondering if dust events generated by different meteorological causes (synoptic vs. convective) would present similar particle concentrations or particle size distributions. Thus, in this project, three different dust events were measured by AEROS and compared. Each dust event originated from a different direction and lasted a different duration. One of the dust events was synoptic (10 April 2019) and two were convective (5 and 21 June 2019). Measurements of particle mass and number concentration, size distribution, and meteorological conditions for each dust event were compared. The synoptic dust event (on 10 April) was longer (12 h) and had stronger wind speed conditions (up to 22.1 m s−1), whereas the two respective convective dust events on 5 and 21 June lasted only 20 and 30 min and had lower wind speeds (up to 16.5 and 13.4 m s−1). Observation of PM based on daily and hourly values showed an impact on air quality, yet measurements based on daily and hourly values underestimate the impact of the convective dust events. Observations based on a shorter timescale (10 min) reveal the true impact of the two convective dust events. A comparison of the particle size distribution showed that all three dust events presented an increase in particles in the 0.3–10 µm size range. Comparisons of the particle concentration for particles > 5 and > 10 µm show very high values during the dust events. Some particle sizes even increase in concentration by ∼ 2 orders of magnitude compared with the time before the dust event. This leads us to speculate that the impact of convective dust events on air quality in this region is underestimated with the current (hourly basis) method.

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Strategic Urban Air Quality Improvement: Perspectives on Public Health

Patra,

Pradhan,

Paulraj

2024

Air Quality and Human Health

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A novel approach to the development of 1‐hour threshold concentrations for exposure to particulate matter during episodic air pollution events

Cited by 11 publications

References 50 publications

Low-Cost Air Quality Stations’ Capability to Integrate Reference Stations in Particulate Matter Dynamics Assessment

Low-Cost Air Quality Stations’ Capability to Integrate Reference Stations in Particulate Matter Dynamics Assessment

Particle size distribution and particulate matter concentrations during synoptic and convective dust events in West Texas

Strategic Urban Air Quality Improvement: Perspectives on Public Health

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