Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution-Part B-Particle Number Concentrations.
Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution-Part B-Particle Number Concentrations.
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DOI：
10.3390/s23177657
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发表时间：
2023-09-04
期刊：
影响因子：
--
通讯作者：
Cox SJ
中科院分区：
文献类型：
--
作者：
Bulot FMJ;Russell HS;Rezaei M;Johnson MS;Ossont SJ;Morris AKR;Basford PJ;Easton NHC;Mitchell HL;Foster GL;Loxham M;Cox SJ
低成本的颗粒物(PM)传感器提供了一个极好的机会来提高我们对这类污染的了解。它们的大小和成本支持多节点网络部署，以及它们的时间分辨率，使它们能够报告给定区域的精细时空分辨率。这些传感器在性能指标上存在已知问题。通常，文献集中于这些传感器报告的PM质量浓度，但一些型号的传感器也报告了分离到不同PM尺寸范围的颗粒数浓度(PNC)。在这项研究中，Alphasense OPC-R1、PlantPower PMS5003和Sensirion SPS30各有8个单元在受控条件下暴露在使用两种不同PM燃烧源产生的短暂PM峰值中，使传感器暴露在不同的颗粒尺寸分布中，以量化和更好地了解低成本传感器在一系列相关环境范围内的性能。对传感器报告的PNC进行了分析，以表征传感器报告的PNC的粒度分布，确定传感器报告的PNC是否能够跟踪参考仪器观测到的PM的瞬时变化，并确定不同变量对传感器性能的相对影响。这项研究表明，Alphasense OPC-R1报告了至少五个相互独立的尺寸范围，Sensirion SPS30报告了两个相互独立的尺寸范围，而PlantPower PMS5003报告的所有尺寸范围并不是彼此独立的。结果表明，所有传感器都能跟踪PNC的细微时间变化，Alphasense OPC-R1能密切跟踪两个PM源之间的粒度分布变化，表明颗粒物的粒度分布和组成对传感器测量的影响比相对湿度更大。
Low-cost Particulate Matter (PM) sensors offer an excellent opportunity to improve our knowledge about this type of pollution. Their size and cost, which support multi-node network deployment, along with their temporal resolution, enable them to report fine spatio-temporal resolution for a given area. These sensors have known issues across performance metrics. Generally, the literature focuses on the PM mass concentration reported by these sensors, but some models of sensors also report Particle Number Concentrations (PNCs) segregated into different PM size ranges. In this study, eight units each of Alphasense OPC-R1, Plantower PMS5003 and Sensirion SPS30 have been exposed, under controlled conditions, to short-lived peaks of PM generated using two different combustion sources of PM, exposing the sensors’ to different particle size distributions to quantify and better understand the low-cost sensors performance across a range of relevant environmental ranges. The PNCs reported by the sensors were analysed to characterise sensor-reported particle size distribution, to determine whether sensor-reported PNCs can follow the transient variations of PM observed by the reference instruments and to determine the relative impact of different variables on the performances of the sensors. This study shows that the Alphasense OPC-R1 reported at least five size ranges independently from each other, that the Sensirion SPS30 reported two size ranges independently from each other and that all the size ranges reported by the Plantower PMS5003 were not independent of each other. It demonstrates that all sensors tested here could track the fine temporal variation of PNCs, that the Alphasense OPC-R1 could closely follow the variations of size distribution between the two sources of PM, and it shows that particle size distribution and composition are more impactful on sensor measurements than relative humidity.
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影响因子：
3.8
作者：
Hagan DH;Kroll JH
通讯作者：
Kroll JH
影响因子：
4.8
作者：
Gupta, P.;Doraiswamy, P.;Mills, K. C.
通讯作者：
Mills, K. C.
DOI：
10.3390/s18092790
发表时间：
2018-08-24
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Di Antonio A;Popoola OAM;Ouyang B;Saffell J;Jones RL
通讯作者：
Jones RL
DOI：
10.1073/pnas.1803222115
发表时间：
2018-09-18
影响因子：
11.1
作者：
Burnett R;Chen H;Szyszkowicz M;Fann N;Hubbell B;Pope CA 3rd;Apte JS;Brauer M;Cohen A;Weichenthal S;Coggins J;Di Q;Brunekreef B;Frostad J;Lim SS;Kan H;Walker KD;Thurston GD;Hayes RB;Lim CC;Turner MC;Jerrett M;Krewski D;Gapstur SM;Diver WR;Ostro B;Goldberg D;Crouse DL;Martin RV;Peters P;Pinault L;Tjepkema M;van Donkelaar A;Villeneuve PJ;Miller AB;Yin P;Zhou M;Wang L;Janssen NAH;Marra M;Atkinson RW;Tsang H;Quoc Thach T;Cannon JB;Allen RT;Hart JE;Laden F;Cesaroni G;Forastiere F;Weinmayr G;Jaensch A;Nagel G;Concin H;Spadaro JV
通讯作者：
Spadaro JV
影响因子：
11.8
作者：
Gressent, Alicia;Malherbe, Laure;Scimia, Romain
通讯作者：
Scimia, Romain