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Estimating Mass Concentration Using a Low-cost Portable Particle Counter Based on Full-year Observations: Issues to Obtain Reliable Atmospheric PM2.5 Data

机译:基于全年观测的低成本便携式粒子计数器估算质量浓度:问题以获得可靠的大气PM2.5数据

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摘要

Expanding the use of a recently introduced low-cost particle monitor (DC1700 Dylos Air Quality Monitor) for sensing atmospheric PM2.5 requires comparison with data obtained using a certified method for PM2.5 based on appropriate atmospheric observations. Full-year measurements of atmospheric aerosols were taken in Nagoya, Japan during March 2017-March 2018 using the DC1700 to measure the particle number concentrations of >0.5 and >2.5 μm diameter particles and to measure the PM2.5 mass concentration (Mdry, PM2.5) using an automated β attenuation mass monitor (PM712). The number-size distribution was measured using an optical particle counter (KC01D). The dried mass concentration of 0.5-2.5 μm particles (Mdry, 0.5-2.5) was estimated from the ambient relative humidity and the DC1700 number concentration. The values of Mdry, 0.5-2.5 were invariably less than those of Mdry, PM2.5. The coefficient of determination and slope of Mdry, 0.5-2.5 to Mdry, PM2.5 for the year were, respectively, 0.68 and 0.40. Slope values changed seasonally from 0.24 in July and August 2017 to 0.55 in May and April 2017. Light absorbing particles, smaller-fine particles, and the estimation method of Mdry, 0.5-2.5 were inferred as causes of the difference between Mdry, 0.5-2.5 and Mdry, PM2.5. Especially, we estimated a large contribution (ca. 54% underestimation of Mdry, 0.5-2.5 into Mdry, PM2.5) of particles smaller than the minimum detection diameter of DC1700. The seasonal variation of Mdry, 0.5-2.5/Mdry, PM2.5 was related to the volume fraction of particles smaller than 0.5 μm. Good correlation of Mdry, 0.5-2.5 to Mdry, PM2.5 suggests that data obtained using DC1700 with a correction factor are useful as a rough proxy of atmospheric PM2.5 within a season. However, precise estimation of PM2.5 from the DC1700 number concentrations should include appropriate corrections of the size distribution, not only hygroscopicity.
机译:扩大最近引入的低成本粒子监测器(DC1700 Dylos空气质量监测器)用于传感大气PM2.5需要比较基于适当的大气观察使用PM2.5获得的数据获得的数据。 2017年3月的日本名古屋拍摄了大气气溶胶的全年测量,使用DC1700测量直径> 0.5和>2.5μm的粒子数浓度,并测量PM2.5质量浓度(MDRY,PM2 .5)使用自动β衰减质量监测器(PM712)。使用光学粒子计数器(KC01D)测量数尺寸分布。从环境相对湿度和DC1700数浓度估计0.5-2.5μm颗粒(MDRY,0.5-2.5)的干燥质量浓度。 MDRY,0.5-2.5的值总是低于MDRY,PM2.5的值。分别为0.68和0.40分别为0.5-2.5至MDRY,0.5-2.5至MDRY,PM2.5的测定系数和坡度。斜率的季节性0.24在七月和八月2017年五月至2017年四月光吸收颗粒,较小的微粒,Mdry的估计方法变更为0.55,0.5-2.5被推断为Mdry,0.5-1之间的差异的原因2.5和MDRY,PM2.5。特别是,我们估计了大于DC1700的最小检测直径的颗粒的大贡献(约54%,低于MDRY,0.5-2.5)的颗粒。 MDRY,0.5-2.5 / MDRY,PM2.5的季节变化与小于0.5μm的颗粒的体积分数有关。 MDRY的良好相关性,0.5-2.5至MDRY,PM2.5表明使用具有校正因子的DC1700获得的数据可用作在季节内的大气PM2.5的粗糙代理。然而,从DC1700数浓度的PM2.5的精确估计应包括尺寸分布的适当校正,不仅是吸湿性。

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