Articles | Volume 13, issue 12
https://doi.org/10.5194/amt-13-6427-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-6427-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluation of optical particulate matter sensors under realistic conditions of strong and mild urban pollution
Adnan Masic
CORRESPONDING AUTHOR
Faculty of Mechanical Engineering, University of Sarajevo, 71000 Sarajevo, Bosnia-Herzegovina
Dzevad Bibic
Faculty of Mechanical Engineering, University of Sarajevo, 71000 Sarajevo, Bosnia-Herzegovina
Boran Pikula
Faculty of Mechanical Engineering, University of Sarajevo, 71000 Sarajevo, Bosnia-Herzegovina
Almir Blazevic
Faculty of Mechanical Engineering, University of Sarajevo, 71000 Sarajevo, Bosnia-Herzegovina
Jasna Huremovic
Faculty of Science, University of Sarajevo, 71000 Sarajevo, Bosnia-Herzegovina
Sabina Zero
Faculty of Science, University of Sarajevo, 71000 Sarajevo, Bosnia-Herzegovina
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Cited
33 citations as recorded by crossref.
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- A Novel Apportionment Method Utilizing Particle Mass Size Distribution across Multiple Particle Size Ranges P. Wang et al. 10.3390/atmos15080955
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33 citations as recorded by crossref.
- Air pollution in Sarajevo, Bosnia and Herzegovina, assessed by plant comet assay M. Hasanovic et al. 10.1093/mutage/geac022
- Laboratory and field evaluation of a low-cost optical particle sizer M. Tang et al. 10.1016/j.jes.2023.06.031
- Selective Detection of Functionalized Carbon Particles based on Polymer Semiconducting and Conducting Devices as Potential Particulate Matter Sensors Y. Song et al. 10.1002/smll.202310527
- Evaluation of aerosol-spectrometer based PM2.5 and PM10 mass concentration measurement using ambient-like model aerosols in the laboratory T. Wu et al. 10.1016/j.measurement.2022.111761
- A Novel Apportionment Method Utilizing Particle Mass Size Distribution across Multiple Particle Size Ranges P. Wang et al. 10.3390/atmos15080955
- A pilot biomonitoring study of air pollution in the urban area of Sarajevo, Bosnia and Herzegovina: genotoxicity assessment in buccal cells T. Cetkovic et al. 10.1093/mutage/geac016
- New Insight into the Measurements of Particle-Bound Metals in the Urban and Remote Atmospheres of the Sarajevo Canton and Modeled Impacts of Particulate Air Pollution in Bosnia and Herzegovina S. Žero et al. 10.1021/acs.est.1c07037
- City-Scale Air Quality Network of Low-Cost Sensors A. Masic 10.3390/atmos15070798
- Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution—Part B—Particle Number Concentrations F. Bulot et al. 10.3390/s23177657
- Particle number size distribution evaluation of Plantower PMS5003 low-cost PM sensors – a field experiment A. Caseiro et al. 10.1039/D4EA00086B
- Health risk assessment of heavy metals in PM 2.5 and PM 10 in Sarajevo air, Bosnia and Herzegovina N. Trako et al. 10.1080/10934529.2024.2307834
- Evaluation of low-cost particulate matter sensors OPC N2 and PM Nova for aerosol monitoring R. Dubey et al. 10.1016/j.apr.2022.101335
- Calibration of optical particle size spectrometers against a primary standard: Counting efficiency profile of the TSI Model 3330 OPS and Grimm 11-D monitor in the particle size range from 300 nm to 10 μm K. Vasilatou et al. 10.1016/j.jaerosci.2021.105818
- An Investigation on the Possible Application Areas of Low-Cost PM Sensors for Air Quality Monitoring D. Suriano & M. Prato 10.3390/s23083976
- Simulating the impact of particulate matter exposure on health-related behaviour: A comparative study of stochastic modelling and personal monitoring data R. Novak et al. 10.1016/j.healthplace.2023.103111
- Real-Time Source Apportionment of Particulate Matter from Low-Cost Particle Sensors Using Machine Learning V. Kumar et al. 10.1007/s41810-024-00271-3
- Performance evaluation of the Alphasense OPC-N3 and Plantower PMS5003 sensor in measuring dust events in the Salt Lake Valley, Utah K. Kaur & K. Kelly 10.5194/amt-16-2455-2023
- Towards comprehensive air quality management using low-cost sensors for pollution source apportionment D. Bousiotis et al. 10.1038/s41612-023-00424-0
- Insights into low-cost pm sensors using size-resolved scattering intensity of cooking aerosols in a test house A. Thakur et al. 10.1080/02786826.2024.2342722
- Empowering Participatory Research in Urban Health: Wearable Biometric and Environmental Sensors for Activity Recognition R. Novak et al. 10.3390/s23249890
- Ambient characterisation of PurpleAir particulate matter monitors for measurements to be considered as indicative A. Caseiro et al. 10.1039/D2EA00085G
- Evaluation of a low-cost dryer for a low-cost optical particle counter M. Chacón-Mateos et al. 10.5194/amt-15-7395-2022
- Spatial and temporal variation of cooking-emitted particles in distinct zones using scanning mobility particle sizer and a network of low-cost sensors R. Dhiman et al. 10.1016/j.indenv.2024.100008
- Development and evolution of an anomalous Asian dust event across Europe in March 2020 L. Tositti et al. 10.5194/acp-22-4047-2022
- Measuring Particulate Matter: An Investigation on Sensor Technology, Particle Size, Monitoring Site F. Gandino et al. 10.1109/ACCESS.2023.3319092
- Urban Air Quality Modeling Using Low-Cost Sensor Network and Data Assimilation in the Aburrá Valley, Colombia S. Lopez-Restrepo et al. 10.3390/atmos12010091
- Niveles de concentración por PM2.5 mediante sensores de bajo costo. Caso de estudio: Pamplona, Colombia C. Bonilla-Granados et al. 10.18273/revuin.v22n3-2023003
- Monitoring Gas Emissions in Agricultural Productions through Low-Cost Technologies: The POREM (Poultry-Manure-Based Bio-Activator for Better Soil Management through Bioremediation) Project Experience D. Suriano & F. Abulude 10.3390/earth5040029
- Laboratory evaluation of low-cost air quality monitors and single sensors for monitoring typical indoor emission events in Dutch daycare centers H. Zheng et al. 10.1016/j.envint.2022.107372
- Risk assessment and estimation of controlling safe distance for exposure to particulate matter from outdoor secondhand tobacco smoke J. Yang et al. 10.1007/s11869-023-01435-9
- Impact of peri-urban forest fires on air quality and aerosol optical and chemical properties: The case of the August 2021 wildfires in Athens, Greece D. Kaskaoutis et al. 10.1016/j.scitotenv.2023.168028
- The Aerosol Research Observation Station (AEROS) K. Ardon-Dryer et al. 10.5194/amt-15-2345-2022
- A Real-Time Comparison of Four Particulate Matter Size Fractions in the Personal Breathing Zone of Paris Subway Workers: A Six-Week Prospective Study R. Pétremand et al. 10.3390/su14105999
Latest update: 13 Dec 2024
Short summary
Optical-based particulate matter sensors offer some advantages: price (especially low-cost sensors), time and space resolution, but they are less accurate than reference instruments. Understanding their performance and limitations is crucial for wider adoption. This is a case study for strong and mild air pollution done in Sarajevo, Bosnia-Herzegovina. Tested optical sensors were found to be generally acceptable in this study, but proper calibration is required for getting reliable data.
Optical-based particulate matter sensors offer some advantages: price (especially low-cost...