Comparison of real-time instruments and gravimetric method when measuring particulate matter in a residential building

Figures & data

Table 1. Summary of PM_2.5 measurements (μg/m³) from the different real-time and filter-based metrics.

Measurement type	Monitor	Temporal resolution	n	Mean	Median	Minimum	Maximum
Direct reading	DustTrak DRX	1 min*	48	32.74	25.66	8.30	138.02
	OPC	1 min*	34	5.96	4.01	0.59	41.66
	pDR-1500 direct reading	10 min	40	27.61	20.25	3.70	156.00
Filter-based	pDR-1500 filter	24 hr	40	22.30	17.64	2.80	76.80
	PMI2.5 impactor	24 hr	48	25.92	18.49	2.80	113.08

*Each 1-min measurement from these monitors consists of 60 sec of measurement and a 10-sec break.

Figure 1. Comparison of PM_2.5 24 hr average concentrations between pDR-1500 direct reading and pDR-1500 filter-based measurements. The regression is presented by the following equation: y = β₁(±SE)x + β₀(±SE) where β₁ and β₀ are regression coefficients, and SE is the standard error of β values.

Figure 2. Comparison of PM_2.5 24-hr average concentrations determined by PMI PM_2.5 filter-based measurements and pDR-1500 filter-based measurements. The regression is presented by the following equation: y = β₁(±SE)x + β₀(±SE) where β₁ and β₀ are regression coefficients, and SE is the standard error of β values.

Figure 3. Comparison of PM_2.5 24-hr average concentrations determined by PMI PM_2.5 filter-based measurements and pDR-1500 direct reading measurements. The regression is presented by the following equation: y = β₁(±SE)x + β₀(±SE) where β₁ and β₀ are regression coefficients, and SE is the standard error of β values.

Figure 4. Comparison of PM_2.5 24 hr average concentrations determined by PMI PM_2.5 filter-based measurements and pDR-1500 direct reading measurements, with data stratified according to the self-reported smoking status in investigated apartments. The regression is presented by the following equation: y = β₁(±SE)x + β₀(±SE) where β₁ and β₀ are regression coefficients, and SE is the standard error of β values.

Figure 5. Comparison of PM_2.5 1-hr average concentrations determined by pDR-1500 direct reading measurements and Aerotrak OPC estimate assuming particles are spherical and have a density of 1.68 g/cm³. The regression is presented by the following equation: y = β₁(±SE)x + β₀(±SE) where β₁ and β₀ are regression coefficients, and SE is the standard error of β values.

Figure 6. Comparison of PM_2.5 1-hr average concentrations determined by pDR-1500 and DustTrak DRX direct reading measurements. The regression is presented by the following equation: y = β₁(±SE)x + β₀(±SE) where β₁ and β₀ are regression coefficients, and SE is the standard error of β values.