Yapay Zeka Hızlı Bakış & Çıkarımlar
AI InsightAs a result of this study, it is advised to invalidate hourly data when the internal RH is greaterthan 40% and to only use daily AQI estimates to limit the EBAM AQI over-prediction.
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Özet
Mobile particulate monitors are being widely used for smoke monitoring throughout the western UnitedStates. While this provides valuable additional data for public health decisions, quantifying the fieldperformance of this equipment is necessary to understand measurement limitations when beingcompared with federal compliance instruments. Met One Instruments, Inc. Environmental Beta AttenuationMonitors (EBAMs) were co-located at permanently established Beta Attenuation Monitor (BAM)sites to determine agreement under normal field operating conditions. Monitors were assessed foragreement between fine particulate matter (PM2.5) measurements. The instruments correlated for hourly(R2 0.70) and daily (R2 0.90) means. Mean difference for EBAM to BAM comparison showed the EBAMover-predicting the BAM by 24% (3 mg m3). Hourly concentrations fluctuated more in the EBAM. Dailymean concentrations were the most equitably comparable measurement for these monitors. Increases inrelative humidity (RH) were associated with increased disagreement between monitors. When EBAMinternal RH was below 40%, R2 increased (0.76 hourly, 0.93 daily). The EBAM produced higher hourly AQIestimates. As a result of this study, it is advised to invalidate hourly data when the internal RH is greaterthan 40% and to only use daily AQI estimates to limit the EBAM AQI over-prediction.