Investigating the Sensitivity of Low-Cost Sensors in Measuring Particle Number Concentrations across Diverse Atmospheric Conditions in Greece and Spain

被引:6
作者
Kosmopoulos, Georgios [1 ]
Salamalikis, Vasileios [2 ]
Wilbert, Stefan [3 ]
Zarzalejo, Luis F. [4 ]
Hanrieder, Natalie [3 ]
Karatzas, Stylianos [5 ]
Kazantzidis, Andreas [1 ]
机构
[1] Univ Patras, Dept Phys, Lab Atmospher Phys, GR-26500 Patras, Greece
[2] NILU Norwegian Inst Air Res, POB 100, N-2027 Kjeller, Norway
[3] German Aerosp Ctr DLR, Inst Solar Res, Paseo Almeria 73, Almeria 04001, Spain
[4] CIEMAT Energy Dept, Renewable Energy Div, Ave Complutense 40, Madrid 28040, Spain
[5] Univ Patras, Civil Engn Dept, GR-26500 Patras, Greece
关键词
particulate matter; mass concentration; number concentration; low-cost sensors; sensors' particle-size selectivity; AIR-QUALITY; LABORATORY EVALUATION; SOURCE APPORTIONMENT; FIELD-EVALUATION; ORGANIC AEROSOL; DUST; PURPLEAIR; AMBIENT; ORIGIN; ATHENS;
D O I
10.3390/s23146541
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Low-cost sensors (LCSs) for particulate matter (PM) concentrations have attracted the interest of researchers, supplementing their efforts to quantify PM in higher spatiotemporal resolution. The precision of PM mass concentration measurements from PMS 5003 sensors has been widely documented, though limited information is available regarding their size selectivity and number concentration measurement accuracy. In this work, PMS 5003 sensors, along with a Federal Referral Methods (FRM) sampler (Grimm spectrometer), were deployed across three sites with different atmospheric profiles, an urban (Germanou) and a background (UPat) site in Patras (Greece), and a semi-arid site in Almeria (Spain, PSA). The LCSs particle number concentration measurements were investigated for different size bins. Findings for particles with diameter between 0.3 and 10 & mu;m suggest that particle size significantly affected the LCSs' response. The LCSs could accurately detect number concentrations for particles smaller than 1 & mu;m in the urban (R-2 = 0.9) and background sites (R-2 = 0.92), while a modest correlation was found with the reference instrument in the semi-arid area (R-2 = 0.69). However, their performance was rather poor (R-2 < 0.31) for coarser aerosol fractions at all sites. Moreover, during periods when coarse particles were dominant, i.e., dust events, PMS 5003 sensors were unable to report accurate number distributions (R-2 values < 0.47) and systematically underestimated particle number concentrations. The results indicate that several questions arise concerning the sensors' capabilities to estimate PM2.5 and PM10 concentrations, since their size distribution did not agree with the reference instruments.
引用
收藏
页数:18
相关论文
共 51 条
[1]   Particle size distribution and particulate matter concentrations during synoptic and convective dust events in West Texas [J].
Ardon-Dryer, Karin ;
Kelley, Mary C. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2022, 22 (13) :9161-9173
[2]   Measurements of PM2.5 with PurpleAir under atmospheric conditions [J].
Ardon-Dryer, Karin ;
Dryer, Yuval ;
Williams, Jake N. ;
Moghimi, Nastaran .
ATMOSPHERIC MEASUREMENT TECHNIQUES, 2020, 13 (10) :5441-5458
[3]   Development and application of a United States-wide correction for PM2.5 data collected with the PurpleAir sensor [J].
Barkjohn, Karoline K. ;
Gantt, Brett ;
Clements, Andrea L. .
ATMOSPHERIC MEASUREMENT TECHNIQUES, 2021, 14 (06) :4617-4637
[4]   A study on the performance of low-cost sensors for source apportionment at an urban background site [J].
Bousiotis, Dimitrios ;
Beddows, David C. S. ;
Singh, Ajit ;
Haugen, Molly ;
Diez, Sebastian ;
Edwards, Pete M. ;
Boies, Adam ;
Harrison, Roy M. ;
Pope, Francis D. .
ATMOSPHERIC MEASUREMENT TECHNIQUES, 2022, 15 (13) :4047-4061
[5]   Improving accuracy of air pollution exposure measurements: Statistical correction of a municipal low-cost airborne particulate matter sensor network [J].
Considine, Ellen M. ;
Reid, Colleen E. ;
Ogletree, Michael R. ;
Dye, Timothy .
ENVIRONMENTAL POLLUTION, 2021, 268
[6]   On the robustness of field calibration for smart air quality monitors [J].
De Vito, Saverio ;
Esposito, Elena ;
Castell, Nuria ;
Schneider, Philipp ;
Bartonova, A. .
SENSORS AND ACTUATORS B-CHEMICAL, 2020, 310
[7]   Calibrating networks of low-cost air quality sensors [J].
DeSouza, Priyanka ;
Kahn, Ralph ;
Stockman, Tehya ;
Obermann, William ;
Crawford, Ben ;
Wang, An ;
Crooks, James ;
Li, Jing ;
Kinney, Patrick .
ATMOSPHERIC MEASUREMENT TECHNIQUES, 2022, 15 (21) :6309-6328
[8]   Intra- and inter-city variability of PM2.5 concentrations in Greece as determined with a low-cost sensor network [J].
Dimitriou, Konstantinos ;
Stavroulas, Iasonas ;
Grivas, Georgios ;
Chatzidiakos, Charalampos ;
Kosmopoulos, Georgios ;
Kazantzidis, Andreas ;
Kourtidis, Konstantinos ;
Karagioras, Athanasios ;
Hatzianastassiou, Nikolaos ;
Pandis, Spyros N. ;
Mihalopoulos, Nikolaos ;
Gerasopoulos, Evangelos .
ATMOSPHERIC ENVIRONMENT, 2023, 301
[9]   Origin of the exceedances of the European daily PM limit value in regional background areas of Spain [J].
Escudero, Miguel ;
Querol, Xavier ;
Avila, Anna ;
Cuevas, Emilio .
ATMOSPHERIC ENVIRONMENT, 2007, 41 (04) :730-744
[10]   The contribution of wood burning and other pollution sources to wintertime organic aerosol levels in two Greek cities [J].
Florou, Kalliopi ;
Papanastasiou, Dimitrios K. ;
Pikridas, Michael ;
Kaltsonoudis, Christos ;
Louvaris, Evangelos ;
Gkatzelis, Georgios I. ;
Patoulias, David ;
Mihalopoulos, Nikolaos ;
Pandis, Spyros N. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2017, 17 (04) :3145-3163