광 산란 기반 초미세먼지 측정기의 현장 성능평가
Field Evaluation of Real-Time Fine Particle Monitor using Light Scattering Technique
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초록
Real-time particle monitors are essential for accurately managing the air quality for fine particles and estimating exposure to the fine particles. However, many such monitors tend to be prohibitively expensive. A company (called as “A” hereafter) has recently developed a low-cost, real-time particle monitor, which is based on light scattering technique, to measure mass concentration of the fine particles in the air. In this study the “A” light scattering fine particle monitor was tested to provide reliability of the monitor both in ambient and indoor environments by comparing with filter-based (“gravimetric”) and another light scattering (GRIMM) methods. 24- hr integrated PM2.5 samples were collected at the ambient and indoor sites, and used to determine their mass and ionic species concentrations. Also black carbon (BC) concentration was determined using an Aethalometer. A measurement error of the monitor, which is defined as [(gravimetric method - “A” dust monitor)/gravimetric method × 100%], was examined with variations of BC and total secondary ionic species (SIC = NO3 -+SO4 2- +NH4 +) concentrations. In ambient environment, 24-hr average PM2.5 from the “A” light scattering dust monitor was approximately 13% higher than that from the gravimetric method with correlation coefficient (R2=0.92). Similar to the results from ambient measurements, the 24-hr average PM2.5 from the “A” dust monitor in an indoor environment of a building was strongly correlated with that from the gravimetric method (R2=0.96) with approximately 12% higher concentration in the “A” dust monitor. Also the PM2.5 mass concentration from the “A” dust monitor increased linearly (R2=0.84-0.98) with increasing the concentration of SIC which are known as light scattering components in the air. However, no clear association was found between the BC (light absorbing species) and measurement errors of the monitor, indicating no influence of BC particles to the response of the “A” light scattering dust monitor. Finally, results from this study indicates that the developed low-cost, realtime monitor using the light scattering technique could be useful for the fine particle mass determination in ambient and indoor environments. However, long-term measurements are required to better improve the accuracy and a linear relationship (“calibration factor”) of the dust monitor at a variety of sampling environments.
Abstract
Real-time particle monitors are essential for accurately managing the air quality for fine particles and estimating exposure to the fine particles. However, many such monitors tend to be prohibitively expensive. A company (called as “A” hereafter) has recently developed a low-cost, real-time particle monitor, which is based on light scattering technique, to measure mass concentration of the fine particles in the air. In this study the “A” light scattering fine particle monitor was tested to provide reliability of the monitor both in ambient and indoor environments by comparing with filter-based (“gravimetric”) and another light scattering (GRIMM) methods. 24- hr integrated PM2.5 samples were collected at the ambient and indoor sites, and used to determine their mass and ionic species concentrations. Also black carbon (BC) concentration was determined using an Aethalometer. A measurement error of the monitor, which is defined as [(gravimetric method - “A” dust monitor)/gravimetric method × 100%], was examined with variations of BC and total secondary ionic species (SIC = NO3 -+SO4 2- +NH4 +) concentrations. In ambient environment, 24-hr average PM2.5 from the “A” light scattering dust monitor was approximately 13% higher than that from the gravimetric method with correlation coefficient (R2=0.92). Similar to the results from ambient measurements, the 24-hr average PM2.5 from the “A” dust monitor in an indoor environment of a building was strongly correlated with that from the gravimetric method (R2=0.96) with approximately 12% higher concentration in the “A” dust monitor. Also the PM2.5 mass concentration from the “A” dust monitor increased linearly (R2=0.84-0.98) with increasing the concentration of SIC which are known as light scattering components in the air. However, no clear association was found between the BC (light absorbing species) and measurement errors of the monitor, indicating no influence of BC particles to the response of the “A” light scattering dust monitor. Finally, results from this study indicates that the developed low-cost, realtime monitor using the light scattering technique could be useful for the fine particle mass determination in ambient and indoor environments. However, long-term measurements are required to better improve the accuracy and a linear relationship (“calibration factor”) of the dust monitor at a variety of sampling environments.
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