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利用低成本传感器研究大气颗粒物浓度:通过对西西里岛巴勒莫三个案例研究的分析探讨局限性与益处

Use of Low-Cost Sensors to Study Atmospheric Particulate Matter Concentrations: Limitations and Benefits Discussed through the Analysis of Three Case Studies in Palermo, Sicily.

作者信息

Brugnone Filippo, Randazzo Luciana, Calabrese Sergio

机构信息

Dipartimento di Scienze della Terra e del Mare, Università degli Studi di Palermo, Via Archirafi, 36, 90123 Palermo, Italy.

Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Palermo, Via Ugo la Malfa, 153, 90146 Palermo, Italy.

出版信息

Sensors (Basel). 2024 Oct 14;24(20):6621. doi: 10.3390/s24206621.

Abstract

The paper discusses the results of the concentrations of atmospheric particulate matter, in the PM and PM fractions, acquired by two low-cost sensors. The research was carried out from 1 July 2023 to 30 June 2024, in Palermo, Sicily. The results obtained from two systems equipped with the same sensor model were compared. Excellent linear correlation was observed between the results, with differences in measurements falling within instrumental accuracy. Two instruments equipped with different sensors, models Novasense SDS011 and Plantower PMSA003, were placed at the same site. These were complemented by a weather station to measure meteorological parameters. Upon comparing the atmospheric particulate matter concentrations measured by the two instruments, it was observed that there was a good linear correlation for PM and a poor linear correlation for PM. Additionally, the PMSA003 sensor appeared to consistently record higher concentrations than the SDS011 sensor. During periods influenced by natural sources and/or anthropogenic activities at the regional and/or local scale, i.e., the dispersal of Saharan sands, forest fires, and local events using fireworks, abnormal concentrations of atmospheric particulate matter were detected. Despite the inherent limitations in precision and accuracy, both low-cost instruments were able to identify periods with abnormal concentrations of atmospheric particulate matter, regardless of their source or type.

摘要

本文讨论了由两个低成本传感器获取的大气颗粒物(PM)及其各组分中的浓度结果。该研究于2023年7月1日至2024年6月30日在西西里岛的巴勒莫进行。对配备相同传感器型号的两个系统所获得的结果进行了比较。结果之间观察到极好的线性相关性,测量差异在仪器精度范围内。将两台配备不同传感器(型号分别为Novasense SDS011和Plantower PMSA003)的仪器放置在同一地点。同时还配备了一个气象站来测量气象参数。在比较两台仪器测量的大气颗粒物浓度时,发现PM的线性相关性良好,而PM的线性相关性较差。此外,PMSA003传感器记录的浓度似乎始终高于SDS011传感器。在受区域和/或局部尺度的自然源和/或人为活动影响的时期,即撒哈拉沙尘的扩散、森林火灾以及当地的烟花燃放活动期间,检测到大气颗粒物浓度异常。尽管低成本仪器在精度和准确性方面存在固有局限性,但它们都能够识别出大气颗粒物浓度异常的时期,而不论其来源或类型如何。

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