Developing a Relative Humidity Correction for Low-Cost Sensors Measuring Ambient Particulate Matter.
Developing a Relative Humidity Correction for Low-Cost Sensors Measuring Ambient Particulate Matter.
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DOI：
10.3390/s18092790
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发表时间：
2018-08-24
期刊：
影响因子：
--
通讯作者：
Jones RL
中科院分区：
文献类型：
--
作者：
Di Antonio A;Popoola OAM;Ouyang B;Saffell J;Jones RL
人们越来越关注环境颗粒物（PM）暴露对健康的影响。传统的监测网络，由于其稀疏性，不能提供足够的空间和时间的测量特征的环境PM。最近的研究表明便携式低成本设备（例如，光学粒子计数器（OPC）可以帮助解决这个问题;然而，它们在环境条件下的应用可能会受到高相对湿度（RH）条件的影响。在这里，我们展示了如何，通过利用测得的颗粒尺寸分布信息，而不是PM已经建议在其他地方，可以得到一个校正，不仅显着提高传感器的性能，但也保留了基本的信息颗粒组成。一种基于颗粒尺寸分布的校正算法，建立在-Köhler理论上，被开发用于考虑RH对传感器测量的影响。修正算法的应用，假设物理上合理的值，导致了显着的改善，与PM测量的高估从校正前的因子~5减少到校正后的1.05。我们的结论是，根据颗粒尺寸分布，而不是PM质量的校正，需要适当考虑RH的影响，使低成本的光学PM传感器提供可靠的环境PM测量。
There is increasing concern about the health impacts of ambient Particulate Matter (PM) exposure. Traditional monitoring networks, because of their sparseness, cannot provide sufficient spatial-temporal measurements characteristic of ambient PM. Recent studies have shown portable low-cost devices (e.g., optical particle counters, OPCs) can help address this issue; however, their application under ambient conditions can be affected by high relative humidity (RH) conditions. Here, we show how, by exploiting the measured particle size distribution information rather than PM as has been suggested elsewhere, a correction can be derived which not only significantly improves sensor performance but which also retains fundamental information on particle composition. A particle size distribution–based correction algorithm, founded on -Köhler theory, was developed to account for the influence of RH on sensor measurements. The application of the correction algorithm, which assumed physically reasonable values, resulted in a significant improvement, with the overestimation of PM measurements reduced from a factor of ~5 before correction to 1.05 after correction. We conclude that a correction based on particle size distribution, rather than PM mass, is required to properly account for RH effects and enable low cost optical PM sensors to provide reliable ambient PM measurements.
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影响因子：
2.1
作者：
Mar, TF;Larson, TV;Koenig, JQ
通讯作者：
Koenig, JQ
影响因子：
6.3
作者：
Zieger, P.;Fierz-Schmidhauser, R.;Baltensperger, U.
通讯作者：
Baltensperger, U.
影响因子：
2.9
作者：
Clegg, SL;Brimblecombe, P;Wexler, AS
通讯作者：
Wexler, AS
DOI：
10.1080/15287390590936085
发表时间：
2005-07-09
影响因子：
2.6
作者：
Jerrett, M;Finkelstein, M
通讯作者：
Finkelstein, M
影响因子：
--
作者：
Köhler, H
通讯作者：
Köhler, H