Faculty of Humanities and Social Sciences, Ben Gurion University of the Negev, Beer Sheva 8410501, Israel.
Ichan School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029-5674, USA.
Sensors (Basel). 2020 Dec 24;21(1):63. doi: 10.3390/s21010063.
Particulate matter is a common health hazard, and under certain conditions, an ecological threat. While many studies were conducted in regard to air pollution and potential effects, this paper serves as a pilot scale investigation into the spatial and temporal variability of particulate matter (PM) pollution in arid urban environments in general, and Beer-Sheva, Israel as a case study. We explore the use of commercially off the shelf (COTS) sensors, which provide an economical solution for spatio-temporal measurements. We started with a comparison process against an A-grade meteorological station, where it was shown that under specific climatic conditions, a number of COTS sensors were able to produce robust agreement (mean R2=0.93, average SD=17.5). The second stage examined the COTS sensors that were proven accurate in a mobile measurement campaign. Finally, data collected was compared to a validated satellite prediction model. We present how these tests and COTS sensor-kits could then be used to further explain the continuity and dispersion of particulate matter in similar areas.
颗粒物是一种常见的健康危害，在某些条件下，也是一种生态威胁。虽然已经有许多关于空气污染和潜在影响的研究，但本文旨在对干旱城市环境中颗粒物（PM）污染的时空变异性进行试点研究，以以色列贝尔谢巴为例。我们探索了使用商业现货（COTS）传感器的方法，这为时空测量提供了经济的解决方案。我们首先进行了与 A 级气象站的对比过程，结果表明，在特定的气候条件下，许多 COTS 传感器能够产生可靠的一致性（平均 R2=0.93，平均 SD=17.5）。第二阶段检验了在移动测量活动中被证明准确的 COTS 传感器。最后，将收集到的数据与经过验证的卫星预测模型进行了比较。我们展示了这些测试和 COTS 传感器套件如何用于进一步解释类似地区颗粒物的连续性和分散性。
