Articles | Volume 11, issue 8
https://doi.org/10.5194/amt-11-4883-2018
© Author(s) 2018. 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-11-4883-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The influence of humidity on the performance of a low-cost air particle mass sensor and the effect of atmospheric fog
Rohan Jayaratne
International Laboratory for Air Quality and Health, Queensland
University of Technology, Brisbane, QLD 4001, Australia
Xiaoting Liu
International Laboratory for Air Quality and Health, Queensland
University of Technology, Brisbane, QLD 4001, Australia
Phong Thai
International Laboratory for Air Quality and Health, Queensland
University of Technology, Brisbane, QLD 4001, Australia
Matthew Dunbabin
Institute for Future Environments, Queensland University of
Technology, Brisbane, QLD 4001, Australia
International Laboratory for Air Quality and Health, Queensland
University of Technology, Brisbane, QLD 4001, Australia
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- Evaluation of two low-cost PM monitors under different laboratory and indoor conditions R. He et al. 10.1080/02786826.2020.1851649
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- An application of low-cost sensors to monitor children's exposure to air pollution at five schools in Queensland, Australia B. Pradhan et al. 10.1016/j.atmosenv.2024.120424
- Ambient air quality measurements in a large city: existing solutions, new opportunities and challenges E. Lezina & M. Misyurev 10.1088/1742-6596/2192/1/012031
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- Low-Cost Sensors for Air Quality Monitoring - the Current State of the Technology and a Use Overview P. Buček et al. 10.2478/cdem-2021-0003
- Unilateral boundary time series forecasting C. Chang et al. 10.3389/fdata.2024.1376023
- Common model to approximate the time-variant behaviour of air humidity-change influence on some fundamental standards of precision electromagnetic measurement L. Liu et al. 10.1016/j.measurement.2020.108647
- Can data reliability of low-cost sensor devices for indoor air particulate matter monitoring be improved? – An approach using machine learning H. Chojer et al. 10.1016/j.atmosenv.2022.119251
- Bias in PM2.5 measurements using collocated reference-grade and optical instruments M. Kushwaha et al. 10.1007/s10661-022-10293-4
- PM2.5 reduction capacities and their relation to morphological and physiological traits in 13 landscaping tree species K. Kim et al. 10.1016/j.ufug.2022.127526
- Low-Cost Indoor Sensor Deployment for Predicting PM2.5 Exposure S. Tsameret et al. 10.1021/acsestair.3c00105
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- Innovative Air-Preconditioning Method for Accurate Particulate Matter Sensing in Humid Environments Z. Kunić et al. 10.3390/s24175477
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- Calibration of low-cost particulate matter sensors for coal dust monitoring N. Amoah et al. 10.1016/j.scitotenv.2022.160336
- Low-cost sensors for measuring airborne particulate matter: Field evaluation and calibration at a South-Eastern European site G. Kosmopoulos et al. 10.1016/j.scitotenv.2020.141396
- Developing a Cloud-Based Air Quality Monitoring Platform Using Low-Cost Sensors A. Samad et al. 10.3390/s24030945
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- Effects of aerosol type and simulated aging on performance of low-cost PM sensors J. Tryner et al. 10.1016/j.jaerosci.2020.105654
- MitH: A framework for Mitigating Hygroscopicity in low-cost PM sensors M. Casari & L. Po 10.1016/j.envsoft.2024.105955
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- Fine particle mass monitoring with low-cost sensors: Corrections and long-term performance evaluation C. Malings et al. 10.1080/02786826.2019.1623863
- Particle number size distribution evaluation of Plantower PMS5003 low-cost PM sensors – a field experiment A. Caseiro et al. 10.1039/D4EA00086B
- From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors M. Giordano et al. 10.1016/j.jaerosci.2021.105833
- Urban meteorology and air quality in a rapidly growing city: Inter-parameter associations and intra-urban heterogeneity G. Ulpiani et al. 10.1016/j.scs.2021.103553
- Assessing the value of complex refractive index and particle density for calibration of low-cost particle matter sensor for size-resolved particle count and PM2.5 measurements C. Huang et al. 10.1371/journal.pone.0259745
- Low-Cost Sensor Node for Air Quality Monitoring: Field Tests and Validation of Particulate Matter Measurements U. Schilt et al. 10.3390/s23020794
- IoT-Enabled Particulate Matter Monitoring and Forecasting Method Based on Cluster Analysis J. Yun & J. Woo 10.1109/JIOT.2020.3038862
- Field Evaluation of Low-Cost PM Sensors (Purple Air PA-II) Under Variable Urban Air Quality Conditions, in Greece I. Stavroulas et al. 10.3390/atmos11090926
- Analyzing and Improving the Performance of a Particulate Matter Low Cost Air Quality Monitoring Device E. Bagkis et al. 10.3390/atmos12020251
- The relationship between greenspace and personal exposure to PM2.5 during walking trips in Delhi, India W. Mueller et al. 10.1016/j.envpol.2022.119294
- The nexus between in-car aerosol concentrations, ventilation and the risk of respiratory infection P. Kumar et al. 10.1016/j.envint.2021.106814
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- Field calibration of low-cost particulate matter sensors using artificial neural networks and affine response correction S. Koziel et al. 10.1016/j.measurement.2024.114529
- On-field test and data calibration of a low-cost sensor for fine particles exposure assessment Y. Jiang et al. 10.1016/j.ecoenv.2021.111958
- ‘Envilution™’ chamber for performance evaluation of low-cost sensors H. Omidvarborna et al. 10.1016/j.atmosenv.2020.117264
- A systematic investigation on the effects of temperature and relative humidity on the performance of eight low-cost particle sensors and devices Y. Zou et al. 10.1016/j.jaerosci.2020.105715
- Improved PM2.5 concentration estimates from low-cost sensors using calibration models categorized by relative humidity J. Hua et al. 10.1080/02786826.2021.1873911
- Laboratory and field evaluation of a low-cost optical particle sizer M. Tang et al. 10.1016/j.jes.2023.06.031
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- Exploration of intra-city and inter-city PM2.5 regional calibration models to improve low-cost sensor performance S. Jain & N. Zimmerman 10.1016/j.jaerosci.2024.106335
- Low-cost electronic sensors for environmental research: Pitfalls and opportunities K. Chan et al. 10.1177/0309133320956567
- Real‐time measurements of PM2.5and ozone to assess the effectiveness of residential indoor air filtration in Shanghai homes K. Barkjohn et al. 10.1111/ina.12716
- Particulate Matter Profiles along the Rack Railway Route Using Low-Cost Sensor A. Samad et al. 10.3390/atmos12020126
- Design and testing of a low-cost sensor and sampling platform for indoor air quality J. Tryner et al. 10.1016/j.buildenv.2021.108398
- Ambient characterisation of PurpleAir particulate matter monitors for measurements to be considered as indicative A. Caseiro et al. 10.1039/D2EA00085G
- Performance characteristics of the low-cost Plantower PMS optical sensor M. He et al. 10.1080/02786826.2019.1696015
- Application of low-cost particulate matter sensors for air quality monitoring and exposure assessment in underground mines: A review N. Amoah et al. 10.1007/s12613-021-2378-z
- Evaluation and calibration of low-cost particulate matter sensors for respirable coal mine dust monitoring Z. Feng et al. 10.1080/02786826.2023.2288609
- Features and Practicability of the Next-Generation Sensors and Monitors for Exposure Assessment to Airborne Pollutants: A Systematic Review G. Fanti et al. 10.3390/s21134513
- A Novel Bike-Mounted Sensing Device with Cloud Connectivity for Dynamic Air-Quality Monitoring by Urban Cyclists J. Gómez-Suárez et al. 10.3390/s22031272
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- Band-Sensitive Calibration of Low-Cost PM2.5 Sensors by LSTM Model with Dynamically Weighted Loss Function J. Ryu & H. Park 10.3390/su14106120
- Investigating a Low-Cost Dryer Designed for Low-Cost PM Sensors Measuring Ambient Air Quality A. Samad et al. 10.3390/s21030804
- City Scale Particulate Matter Monitoring Using LoRaWAN Based Air Quality IoT Devices S. Johnston et al. 10.3390/s19010209
- Impact of COVID-19 lockdown on air quality of Sri Lankan cities M. Senarathna et al. 10.11159/ijepr.2021.002
- Development and application of a United States-wide correction for PM<sub>2.5</sub> data collected with the PurpleAir sensor K. Barkjohn et al. 10.5194/amt-14-4617-2021
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- Calibrating low-cost sensors using MERRA-2 reconstructed PM2.5 mass concentration as a proxy V. Malyan et al. 10.1016/j.apr.2023.102027
- A Smoke Chamber Study on Some Low-Cost Sensors for Monitoring Size-Segregated Aerosol and Microclimatic Parameters L. Bencs & A. Nagy 10.3390/atmos15030304
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- An efficient spatiotemporal data calibration approach for the low-cost PM2.5 sensing network: A case study in Taiwan C. Lee et al. 10.1016/j.envint.2019.05.032
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- Uncertainty-Based Calibration Method for Environmental Sensors—Application to Chlorine and pH Monitoring With Carbon Nanotube Sensor Array G. Perrin & B. Lebental 10.1109/JSEN.2023.3238900
- Evaluation of calibration performance of a low-cost particulate matter sensor using collocated and distant NO2 K. Ko et al. 10.5194/amt-17-3303-2024
- Laboratory Evaluations of Correction Equations with Multiple Choices for Seed Low-Cost Particle Sensing Devices in Sensor Networks W. Wang et al. 10.3390/s20133661
- Catastrophic impact of extreme 2019 Indonesian peatland fires on urban air quality and health M. Grosvenor et al. 10.1038/s43247-024-01813-w
- Effect of relative humidity on the performance of five cost-effective PM sensors P. Wang et al. 10.1080/02786826.2021.1910136
- Opportunistic mobile air quality mapping using sensors on postal service vehicles: from point clouds to actionable insights J. Hofman et al. 10.3389/fenvh.2023.1232867
- Comparison of PM10 emission flux of two fugitive area sources based on the real-time flux monitoring results S. Kim et al. 10.1016/j.scitotenv.2023.168666
- A novel application of mobile low-cost sensors for atmospheric particulate matter monitoring in open-pit mines A. Zafra-Pérez et al. 10.1016/j.eti.2022.102974
- Effect of air quality improvement by urban parks on mitigating PM2.5 and its associated heavy metals: A mobile-monitoring field study T. Su et al. 10.1016/j.jenvman.2022.116283
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- Civil air quality monitoring as an alternative and supplement to the National Air Quality Monitoring Network A. Bozilov et al. 10.2298/TSCI220303103B
- PM sensors as an indicator of overall air quality: Pre-COVID and COVID periods J. Prakash et al. 10.1016/j.apr.2022.101594
- Correction and Accuracy of PurpleAir PM2.5 Measurements for Extreme Wildfire Smoke K. Barkjohn et al. 10.3390/s22249669
- Air quality during and after the Commonwealth Games 2018 in Australia: Multiple benefits of monitoring T. Kuhn et al. 10.1016/j.jaerosci.2020.105707
- Long-term evaluation and calibration of three types of low-cost PM2.5 sensors at different air quality monitoring stations G. Hong et al. 10.1016/j.jaerosci.2021.105829
- Developing Relative Humidity and Temperature Corrections for Low-Cost Sensors Using Machine Learning I. Vajs et al. 10.3390/s21103338
- Evaluation of Low-Cost Sensors for Ambient PM2.5 Monitoring M. Badura et al. 10.1155/2018/5096540
- Field Evaluation of Low-Cost Particulate Matter Sensors in Beijing H. Mei et al. 10.3390/s20164381
- Deployment and Evaluation of a Network of Open Low-Cost Air Quality Sensor Systems P. Schneider et al. 10.3390/atmos14030540
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- Ambient PM2.5 and PM10 Exposure and Respiratory Disease Hospitalization in Kandy, Sri Lanka S. Priyankara et al. 10.3390/ijerph18189617
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- Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution F. Bulot et al. 10.3390/s20082219
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- Development and Performance Evaluation of a Mixed-Sensor System for Fine Particles and Road Traffic Noise C. Wu et al. 10.2139/ssrn.4020749
- Investigation of indoor air quality in university residences using low-cost sensors R. Afroz et al. 10.1039/D2EA00149G
- PM2.5 exposure of various microenvironments in a community: Characteristics and applications W. Hsu et al. 10.1016/j.envpol.2020.114522
- Evaluation and calibration of a low-cost particle sensor in ambient conditions using machine-learning methods M. Si et al. 10.5194/amt-13-1693-2020
- Estimation of aerosol liquid water from optical scattering instruments using ambient and dried sample streams J. Zhang et al. 10.1016/j.atmosenv.2020.117787
- Use of low-cost PM monitors and a multi-wavelength aethalometer to characterize PM2.5 in the Yakama Nation reservation O. Stampfer et al. 10.1016/j.atmosenv.2020.117292
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- From air quality sensors to sensor networks: Things we need to learn Y. Li et al. 10.1016/j.snb.2021.130958
- Laboratory evaluation of low-cost PurpleAir PM monitors and in-field correction using co-located portable filter samplers J. Tryner et al. 10.1016/j.atmosenv.2019.117067
- How to Get the Best from Low-Cost Particulate Matter Sensors: Guidelines and Practical Recommendations E. Brattich et al. 10.3390/s20113073
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- The approach to adjusting commercial PM2.5 sensors with a filter-based gravimetric method W. Wang et al. 10.1051/e3sconf/202339601119
- Dissecting PM sensor capabilities: A combined experimental and theoretical study on particle sizing and physicochemical properties X. Qin et al. 10.1016/j.envpol.2024.124354
- Laboratory and field evaluation of real-time and near real-time PM 2.5 smoke monitors A. Mehadi et al. 10.1080/10962247.2019.1654036
- Investigation of Low-Cost and Optical Particulate Matter Sensors for Ambient Monitoring M. Rogulski & A. Badyda 10.3390/atmos11101040
- Long-term field comparison of multiple low-cost particulate matter sensors in an outdoor urban environment F. Bulot et al. 10.1038/s41598-019-43716-3
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- Spatial and Temporal Variations in SO2 and PM2.5 Levels Around Kīlauea Volcano, Hawai'i During 2007–2018 R. Whitty et al. 10.3389/feart.2020.00036
- Gas source localization and mapping with mobile robots: A review A. Francis et al. 10.1002/rob.22109
- Calibration of low-cost particulate matter sensors: Model development for a multi-city epidemiological study M. Zusman et al. 10.1016/j.envint.2019.105329
- Advancing air quality monitoring: A low-cost sensor network in motion – Part I C. Correia et al. 10.1016/j.jenvman.2024.121179
- Precision and Accuracy of a Direct-Reading Miniaturized Monitor in PM2.5 Exposure Assessment F. Borghi et al. 10.3390/s18093089
- Low-Cost Investigation into Sources of PM2.5 in Kinshasa, Democratic Republic of the Congo D. Westervelt et al. 10.1021/acsestair.3c00024
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- Tutorial: Guidelines for implementing low-cost sensor networks for aerosol monitoring N. Zimmerman 10.1016/j.jaerosci.2021.105872
- Relationship Between the Concentrations Of PM2.5 Indoors Obtained by Using the Optical and Gravimetric Methods: Preliminary Analysis J. PASTUSZKA 10.21307/acee-2020-035
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- Effect of aerosol composition on the performance of low-cost optical particle counter correction factors L. Crilley et al. 10.5194/amt-13-1181-2020
- Evaluation of optical particulate matter sensors under realistic conditions of strong and mild urban pollution A. Masic et al. 10.5194/amt-13-6427-2020
- Evaluating the Performance of Low-Cost Air Quality Monitors in Dallas, Texas H. Khreis et al. 10.3390/ijerph19031647
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- Hygroscopic properties of particulate matter and effects of their interactions with weather on visibility W. Won et al. 10.1038/s41598-021-95834-6
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- Utilization of scattering and absorption-based particulate matter sensors in the environment impacted by residential wood combustion J. Kuula et al. 10.1016/j.jaerosci.2020.105671
- Enhancing the reliability of particulate matter sensing by multivariate Tobit model using weather and air quality data W. Won et al. 10.1038/s41598-023-40468-z
- Characterizing outdoor infiltration and indoor contribution of PM2.5 with citizen-based low-cost monitoring data J. Bi et al. 10.1016/j.envpol.2021.116763
- A quadcopter unmanned aerial system (UAS)-based methodology for measuring biomass burning emission factors R. Vernooij et al. 10.5194/amt-15-4271-2022
- Low-cost sensors and Machine Learning aid in identifying environmental factors affecting particulate matter emitted by household heating A. Hassani et al. 10.1016/j.atmosenv.2023.120108
- Applicability of the low-cost OPC-N3 optical particle counter for microphysical measurements of fog K. Nurowska et al. 10.5194/amt-16-2415-2023
- Qualification of the Alphasense optical particle counter for inline air quality monitoring S. Bezantakos et al. 10.1080/02786826.2020.1864276
- Network of low-cost air quality sensors for monitoring indoor, outdoor, and personal PM2.5 exposure in Seattle during the 2020 wildfire season J. He et al. 10.1016/j.atmosenv.2022.119244
- Community-based participatory research for low-cost air pollution monitoring in the wake of unconventional oil and gas development in the Ohio River Valley: Empowering impacted residents through community science G. Raheja et al. 10.1088/1748-9326/ac6ad6
- Humidity, density, and inlet aspiration efficiency correction improve accuracy of a low-cost sensor during field calibration at a suburban site in the North-Western Indo-Gangetic plain (NW-IGP) H. Pawar & B. Sinha 10.1080/02786826.2020.1719971
- An integrated strategy for air quality monitoring and management in industrial port areas M. López et al. 10.1016/j.clet.2024.100729
- Use of Low-Cost Ambient Particulate Sensors in Nablus, Palestine with Application to the Assessment of Regional Dust Storms A. Khader & R. Martin 10.3390/atmos10090539
- Smart Citizen Kit and Station: An open environmental monitoring system for citizen participation and scientific experimentation G. Camprodon et al. 10.1016/j.ohx.2019.e00070
- Performance evaluation of twelve low-cost PM2.5 sensors at an ambient air monitoring site B. Feenstra et al. 10.1016/j.atmosenv.2019.116946
- Ubiquity of hazardous airborne substances on passenger ferries A. Targino et al. 10.1016/j.jhazmat.2021.127133
- Proposal for concentration calibration method for field evaluation of particulate matters monitors based on light scattering using decision tree techniques S. Park et al. 10.15250/joie.2023.22.4.314
- Development of a physics-based method for calibration of low-cost particulate matter sensors and comparison with machine learning models B. Prajapati et al. 10.1016/j.jaerosci.2023.106284
- A new evaluation method of three different low-cost dust sensors using exponentially decaying particle concentrations K. Kang et al. 10.4491/eer.2020.501
- Design Considerations for a Distributed Low-Cost Air Quality Sensing System for Urban Environments in Low-Resource Settings E. Bainomugisha et al. 10.3390/atmos14020354
- Cross-concentration calibration of low-cost sensors for effective dust monitoring at construction sites L. Zheng et al. 10.1016/j.jaerosci.2024.106456
- 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
- Diurnal and seasonal source‐proximal dust concentrations in complex terrain, West Greenland J. Bullard et al. 10.1002/esp.5661
- Citizen-operated mobile low-cost sensors for urban PM2.5 monitoring: field calibration, uncertainty estimation, and application A. Hassani et al. 10.1016/j.scs.2023.104607
- Assessing the usefulness of dense sensor network for PM2.5 monitoring on an academic campus area M. Badura et al. 10.1016/j.scitotenv.2020.137867
- Field Evaluation of Low-Cost Particulate Matter Sensors for Measuring Wildfire Smoke A. Holder et al. 10.3390/s20174796
- Calibration of Portable Particulate Matter–Monitoring Device using Web Query and Machine Learning B. Loh & G. Choi 10.1016/j.shaw.2019.08.002
- Effect of environmental conditions on the performance of a low-cost atmospheric particulate matter sensor B. Macías-Hernández et al. 10.1016/j.uclim.2023.101753
- Reducing Construction Dust Pollution by Planning Construction Site Layout G. Tao et al. 10.3390/buildings12050531
- A parent-school initiative to assess and predict air quality around a heavily trafficked school P. Kumar et al. 10.1016/j.scitotenv.2022.160587
- Development and Implementation of a Platform for Public Information on Air Quality, Sensor Measurements, and Citizen Science J. Wesseling et al. 10.3390/atmos10080445
- In Situ Calibration Algorithms for Environmental Sensor Networks: A Review F. Delaine et al. 10.1109/JSEN.2019.2910317
- Spatial calibration and PM2.5 mapping of low-cost air quality sensors H. Chu et al. 10.1038/s41598-020-79064-w
- An overview of outdoor low-cost gas-phase air quality sensor deployments: current efforts, trends, and limitations K. Okorn & L. Iraci 10.5194/amt-17-6425-2024
- Methodology for Addressing Infectious Aerosol Persistence in Real-Time Using Sensor Network S. Makhsous et al. 10.3390/s21113928
- Application of Gaussian Mixture Regression for the Correction of Low Cost PM2.5 Monitoring Data in Accra, Ghana C. McFarlane et al. 10.1021/acsearthspacechem.1c00217
- Preliminary research for low-cost particulate matter sensor network C. Báthory et al. 10.1051/e3sconf/201910000004
- Influence of particle properties and environmental factors on the performance of typical particle monitors and low-cost particle sensors in the market of China D. Wu et al. 10.1016/j.atmosenv.2021.118825
- An experimental application of laser-scattering sensor to estimate the traffic-induced PM2.5 in Beijing X. Liu et al. 10.1007/s10661-020-08398-9
- Design and evaluation of a portable PM2.5 monitor featuring a low-cost sensor in line with an active filter sampler J. Tryner et al. 10.1039/C9EM00234K
- Impact of California Fires on Local and Regional Air Quality: The Role of a Low‐Cost Sensor Network and Satellite Observations P. Gupta et al. 10.1029/2018GH000136
198 citations as recorded by crossref.
- Evaluation of two low-cost PM monitors under different laboratory and indoor conditions R. He et al. 10.1080/02786826.2020.1851649
- Data-Driven Techniques for Low-Cost Sensor Selection and Calibration for the Use Case of Air Quality Monitoring R. Kureshi et al. 10.3390/s22031093
- Gaussian process regression model for dynamically calibrating and surveilling a wireless low-cost particulate matter sensor network in Delhi T. Zheng et al. 10.5194/amt-12-5161-2019
- Examining the functional range of commercially available low‐cost airborne particle sensors and consequences for monitoring of indoor air quality in residences Y. Zou et al. 10.1111/ina.12621
- An application of low-cost sensors to monitor children's exposure to air pollution at five schools in Queensland, Australia B. Pradhan et al. 10.1016/j.atmosenv.2024.120424
- Ambient air quality measurements in a large city: existing solutions, new opportunities and challenges E. Lezina & M. Misyurev 10.1088/1742-6596/2192/1/012031
- Assessment of Low-Cost Particulate Matter Sensor Systems against Optical and Gravimetric Methods in a Field Co-Location in Norway M. Vogt et al. 10.3390/atmos12080961
- Low-Cost Sensors for Air Quality Monitoring - the Current State of the Technology and a Use Overview P. Buček et al. 10.2478/cdem-2021-0003
- Unilateral boundary time series forecasting C. Chang et al. 10.3389/fdata.2024.1376023
- Common model to approximate the time-variant behaviour of air humidity-change influence on some fundamental standards of precision electromagnetic measurement L. Liu et al. 10.1016/j.measurement.2020.108647
- Can data reliability of low-cost sensor devices for indoor air particulate matter monitoring be improved? – An approach using machine learning H. Chojer et al. 10.1016/j.atmosenv.2022.119251
- Bias in PM2.5 measurements using collocated reference-grade and optical instruments M. Kushwaha et al. 10.1007/s10661-022-10293-4
- PM2.5 reduction capacities and their relation to morphological and physiological traits in 13 landscaping tree species K. Kim et al. 10.1016/j.ufug.2022.127526
- Low-Cost Indoor Sensor Deployment for Predicting PM2.5 Exposure S. Tsameret et al. 10.1021/acsestair.3c00105
- Field performance of a low-cost sensor in the monitoring of particulate matter in Santiago, Chile M. Tagle et al. 10.1007/s10661-020-8118-4
- Innovative Air-Preconditioning Method for Accurate Particulate Matter Sensing in Humid Environments Z. Kunić et al. 10.3390/s24175477
- Efficient calibration of cost-efficient particulate matter sensors using machine learning and time-series alignment S. Koziel et al. 10.1016/j.knosys.2024.111879
- Calibration of low-cost particulate matter sensors for coal dust monitoring N. Amoah et al. 10.1016/j.scitotenv.2022.160336
- Low-cost sensors for measuring airborne particulate matter: Field evaluation and calibration at a South-Eastern European site G. Kosmopoulos et al. 10.1016/j.scitotenv.2020.141396
- Developing a Cloud-Based Air Quality Monitoring Platform Using Low-Cost Sensors A. Samad et al. 10.3390/s24030945
- Feasibility of low-cost particulate matter sensors for long-term environmental monitoring: Field evaluation and calibration Z. Feng et al. 10.1016/j.scitotenv.2024.174089
- Effects of aerosol type and simulated aging on performance of low-cost PM sensors J. Tryner et al. 10.1016/j.jaerosci.2020.105654
- MitH: A framework for Mitigating Hygroscopicity in low-cost PM sensors M. Casari & L. Po 10.1016/j.envsoft.2024.105955
- Indoor Air Pollution from Residential Stoves: Examining the Flooding of Particulate Matter into Homes during Real-World Use R. Chakraborty et al. 10.3390/atmos11121326
- Development and evaluation of correction models for a low-cost fine particulate matter monitor B. Nilson et al. 10.5194/amt-15-3315-2022
- Effects of Gas and Steam Humidity on Particulate Matter Measurements Obtained Using Light-Scattering Sensors H. Kim et al. 10.3390/s23136199
- Development and performance evaluation of a mixed-sensor system for fine particles and road traffic noise C. Wu et al. 10.1016/j.eti.2022.102902
- In-kitchen aerosol exposure in twelve cities across the globe P. Kumar et al. 10.1016/j.envint.2022.107155
- Response of low-cost sensors to high PM 2.5 concentrations during bushfire and haze events X. Liu et al. 10.1080/02786826.2024.2368733
- Household air pollution and its impact on human health: the case of Vihiga County, Kenya C. Ang’u et al. 10.1007/s11869-022-01249-1
- Characterising temporal variability of PM2.5/PM10 ratio and its correlation with meteorological variables at a sub-urban site in the Taj City S. Bamola et al. 10.1016/j.uclim.2023.101763
- Fine particle mass monitoring with low-cost sensors: Corrections and long-term performance evaluation C. Malings et al. 10.1080/02786826.2019.1623863
- Particle number size distribution evaluation of Plantower PMS5003 low-cost PM sensors – a field experiment A. Caseiro et al. 10.1039/D4EA00086B
- From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors M. Giordano et al. 10.1016/j.jaerosci.2021.105833
- Urban meteorology and air quality in a rapidly growing city: Inter-parameter associations and intra-urban heterogeneity G. Ulpiani et al. 10.1016/j.scs.2021.103553
- Assessing the value of complex refractive index and particle density for calibration of low-cost particle matter sensor for size-resolved particle count and PM2.5 measurements C. Huang et al. 10.1371/journal.pone.0259745
- Low-Cost Sensor Node for Air Quality Monitoring: Field Tests and Validation of Particulate Matter Measurements U. Schilt et al. 10.3390/s23020794
- IoT-Enabled Particulate Matter Monitoring and Forecasting Method Based on Cluster Analysis J. Yun & J. Woo 10.1109/JIOT.2020.3038862
- Field Evaluation of Low-Cost PM Sensors (Purple Air PA-II) Under Variable Urban Air Quality Conditions, in Greece I. Stavroulas et al. 10.3390/atmos11090926
- Analyzing and Improving the Performance of a Particulate Matter Low Cost Air Quality Monitoring Device E. Bagkis et al. 10.3390/atmos12020251
- The relationship between greenspace and personal exposure to PM2.5 during walking trips in Delhi, India W. Mueller et al. 10.1016/j.envpol.2022.119294
- The nexus between in-car aerosol concentrations, ventilation and the risk of respiratory infection P. Kumar et al. 10.1016/j.envint.2021.106814
- Evaluation of a low-cost dryer for a low-cost optical particle counter M. Chacón-Mateos et al. 10.5194/amt-15-7395-2022
- Laboratory evaluation of particle-size selectivity of optical low-cost particulate matter sensors J. Kuula et al. 10.5194/amt-13-2413-2020
- The application of a multi-channel sensor network to decompose the local and background sources and quantify their contributions X. Qin et al. 10.1016/j.buildenv.2023.110005
- Performance assessment of NOVA SDS011 low-cost PM sensor in various microenvironments A. Božilov et al. 10.1007/s10661-022-10290-7
- The evaluation and optimization of calibration methods for low-cost particulate matter sensors: Inter-comparison between fixed and mobile methods X. Qin et al. 10.1016/j.scitotenv.2020.136791
- Improved Fine Particles Monitoring in Smart Cities by Means of Advanced Data Concentrator P. Castello et al. 10.1109/TIM.2020.3031987
- Development of ASTM International D8405—Standard Test Method for Evaluating PM 2.5 Sensors or Sensor Systems Used in Indoor Applications W. Mui et al. 10.1080/15459624.2023.2212739
- Field Evaluation and Calibration of Low-Cost Air Pollution Sensors for Environmental Exposure Research J. Huang et al. 10.3390/s22062381
- Air Quality Sensors Systems as Tools to Support Guidance in Athletics Stadia for Elite and Recreational Athletes M. Viana et al. 10.3390/ijerph19063561
- Sensor network for PM2.5 measurements on an academic campus area M. Badura et al. 10.1051/e3sconf/201911600004
- Gas sensing properties of AACVD-derived ZnO/Co3O4 bilayer thin film nanocomposites A. Mokrushin et al. 10.1016/j.ceramint.2023.12.194
- Field calibration of low-cost particulate matter sensors using artificial neural networks and affine response correction S. Koziel et al. 10.1016/j.measurement.2024.114529
- On-field test and data calibration of a low-cost sensor for fine particles exposure assessment Y. Jiang et al. 10.1016/j.ecoenv.2021.111958
- ‘Envilution™’ chamber for performance evaluation of low-cost sensors H. Omidvarborna et al. 10.1016/j.atmosenv.2020.117264
- A systematic investigation on the effects of temperature and relative humidity on the performance of eight low-cost particle sensors and devices Y. Zou et al. 10.1016/j.jaerosci.2020.105715
- Improved PM2.5 concentration estimates from low-cost sensors using calibration models categorized by relative humidity J. Hua et al. 10.1080/02786826.2021.1873911
- Laboratory and field evaluation of a low-cost optical particle sizer M. Tang et al. 10.1016/j.jes.2023.06.031
- Environmental Particulate Matter (PM) Exposure Assessment of Construction Activities Using Low-Cost PM Sensor and Latin Hypercubic Technique M. Khan et al. 10.3390/su13147797
- A novel low-cost sensors system for real-time multipollutant indoor air quality monitoring – Development and performance H. Chojer et al. 10.1016/j.buildenv.2024.112055
- Investigating the effect of trees on urban quality in Dublin by combining air monitoring with i-Tree Eco model E. Riondato et al. 10.1016/j.scs.2020.102356
- Dynamic and stationary monitoring of air pollutant exposures and dose during marathons C. Ribalta et al. 10.1016/j.scitotenv.2024.171997
- Exploration of intra-city and inter-city PM2.5 regional calibration models to improve low-cost sensor performance S. Jain & N. Zimmerman 10.1016/j.jaerosci.2024.106335
- Low-cost electronic sensors for environmental research: Pitfalls and opportunities K. Chan et al. 10.1177/0309133320956567
- Real‐time measurements of PM2.5and ozone to assess the effectiveness of residential indoor air filtration in Shanghai homes K. Barkjohn et al. 10.1111/ina.12716
- Particulate Matter Profiles along the Rack Railway Route Using Low-Cost Sensor A. Samad et al. 10.3390/atmos12020126
- Design and testing of a low-cost sensor and sampling platform for indoor air quality J. Tryner et al. 10.1016/j.buildenv.2021.108398
- Ambient characterisation of PurpleAir particulate matter monitors for measurements to be considered as indicative A. Caseiro et al. 10.1039/D2EA00085G
- Performance characteristics of the low-cost Plantower PMS optical sensor M. He et al. 10.1080/02786826.2019.1696015
- Application of low-cost particulate matter sensors for air quality monitoring and exposure assessment in underground mines: A review N. Amoah et al. 10.1007/s12613-021-2378-z
- Evaluation and calibration of low-cost particulate matter sensors for respirable coal mine dust monitoring Z. Feng et al. 10.1080/02786826.2023.2288609
- Features and Practicability of the Next-Generation Sensors and Monitors for Exposure Assessment to Airborne Pollutants: A Systematic Review G. Fanti et al. 10.3390/s21134513
- A Novel Bike-Mounted Sensing Device with Cloud Connectivity for Dynamic Air-Quality Monitoring by Urban Cyclists J. Gómez-Suárez et al. 10.3390/s22031272
- Performance Assessment of a Low-Cost PM2.5 Sensor for a near Four-Month Period in Oslo, Norway H. Liu et al. 10.3390/atmos10020041
- Band-Sensitive Calibration of Low-Cost PM2.5 Sensors by LSTM Model with Dynamically Weighted Loss Function J. Ryu & H. Park 10.3390/su14106120
- Investigating a Low-Cost Dryer Designed for Low-Cost PM Sensors Measuring Ambient Air Quality A. Samad et al. 10.3390/s21030804
- City Scale Particulate Matter Monitoring Using LoRaWAN Based Air Quality IoT Devices S. Johnston et al. 10.3390/s19010209
- Impact of COVID-19 lockdown on air quality of Sri Lankan cities M. Senarathna et al. 10.11159/ijepr.2021.002
- Development and application of a United States-wide correction for PM<sub>2.5</sub> data collected with the PurpleAir sensor K. Barkjohn et al. 10.5194/amt-14-4617-2021
- Assessing Inequitable Urban Heat Islands and Air Pollution Disparities with Low-Cost Sensors in Richmond, Virginia A. Eanes et al. 10.3390/su122310089
- Demonstration of a Low-Cost Multi-Pollutant Network to Quantify Intra-Urban Spatial Variations in Air Pollutant Source Impacts and to Evaluate Environmental Justice R. Tanzer et al. 10.3390/ijerph16142523
- Seasonally optimized calibrations improve low-cost sensor performance: long-term field evaluation of PurpleAir sensors in urban and rural India M. Campmier et al. 10.5194/amt-16-4357-2023
- Calibrating low-cost sensors using MERRA-2 reconstructed PM2.5 mass concentration as a proxy V. Malyan et al. 10.1016/j.apr.2023.102027
- A Smoke Chamber Study on Some Low-Cost Sensors for Monitoring Size-Segregated Aerosol and Microclimatic Parameters L. Bencs & A. Nagy 10.3390/atmos15030304
- In-Vehicle Air Pollutant Exposures from Daily Commute in the San Francisco Bay Area, California R. Deevi & M. Lu 10.3390/atmos15091130
- An efficient spatiotemporal data calibration approach for the low-cost PM2.5 sensing network: A case study in Taiwan C. Lee et al. 10.1016/j.envint.2019.05.032
- AirMLP: A Multilayer Perceptron Neural Network for Temporal Correction of PM2.5 Values in Turin M. Casari et al. 10.3390/s23239446
- Comparative Study on the Use of Some Low-Cost Optical Particulate Sensors for Rapid Assessment of Local Air Quality Changes L. Bencs et al. 10.3390/atmos13081218
- Uncertainty-Based Calibration Method for Environmental Sensors—Application to Chlorine and pH Monitoring With Carbon Nanotube Sensor Array G. Perrin & B. Lebental 10.1109/JSEN.2023.3238900
- Evaluation of calibration performance of a low-cost particulate matter sensor using collocated and distant NO2 K. Ko et al. 10.5194/amt-17-3303-2024
- Laboratory Evaluations of Correction Equations with Multiple Choices for Seed Low-Cost Particle Sensing Devices in Sensor Networks W. Wang et al. 10.3390/s20133661
- Catastrophic impact of extreme 2019 Indonesian peatland fires on urban air quality and health M. Grosvenor et al. 10.1038/s43247-024-01813-w
- Effect of relative humidity on the performance of five cost-effective PM sensors P. Wang et al. 10.1080/02786826.2021.1910136
- Opportunistic mobile air quality mapping using sensors on postal service vehicles: from point clouds to actionable insights J. Hofman et al. 10.3389/fenvh.2023.1232867
- Comparison of PM10 emission flux of two fugitive area sources based on the real-time flux monitoring results S. Kim et al. 10.1016/j.scitotenv.2023.168666
- A novel application of mobile low-cost sensors for atmospheric particulate matter monitoring in open-pit mines A. Zafra-Pérez et al. 10.1016/j.eti.2022.102974
- Effect of air quality improvement by urban parks on mitigating PM2.5 and its associated heavy metals: A mobile-monitoring field study T. Su et al. 10.1016/j.jenvman.2022.116283
- Theoretical Design of the Scattering-Based Sensor for Analysis of the Vehicle Tailpipe Emission S. Molaie & P. Lino 10.3390/mi11121085
- Measurement of Air Pollution Parameters in Montenegro Using the Ecomar System N. Zaric et al. 10.3390/ijerph18126565
- The Metrological Qualification of Commercial VOC Multisensor Systems: A Mandatory Step Prior to Indoor Air Quality Monitoring M. Verriele et al. 10.1109/JSEN.2024.3368285
- Calibration Methods for Low-Cost Particulate Matter Sensors Considering Seasonal Variability J. Kang & K. Choi 10.3390/s24103023
- First in-Lab Testing of a Cost-Effective Prototype for PM2.5 Monitoring: The P.ALP Assessment G. Fanti et al. 10.3390/s24185915
- Civil air quality monitoring as an alternative and supplement to the National Air Quality Monitoring Network A. Bozilov et al. 10.2298/TSCI220303103B
- PM sensors as an indicator of overall air quality: Pre-COVID and COVID periods J. Prakash et al. 10.1016/j.apr.2022.101594
- Correction and Accuracy of PurpleAir PM2.5 Measurements for Extreme Wildfire Smoke K. Barkjohn et al. 10.3390/s22249669
- Air quality during and after the Commonwealth Games 2018 in Australia: Multiple benefits of monitoring T. Kuhn et al. 10.1016/j.jaerosci.2020.105707
- Long-term evaluation and calibration of three types of low-cost PM2.5 sensors at different air quality monitoring stations G. Hong et al. 10.1016/j.jaerosci.2021.105829
- Developing Relative Humidity and Temperature Corrections for Low-Cost Sensors Using Machine Learning I. Vajs et al. 10.3390/s21103338
- Evaluation of Low-Cost Sensors for Ambient PM2.5 Monitoring M. Badura et al. 10.1155/2018/5096540
- Field Evaluation of Low-Cost Particulate Matter Sensors in Beijing H. Mei et al. 10.3390/s20164381
- Deployment and Evaluation of a Network of Open Low-Cost Air Quality Sensor Systems P. Schneider et al. 10.3390/atmos14030540
- Improving PM10 sensor accuracy in urban areas through calibration in Timișoara R. Blaga & S. Gautam 10.1038/s41612-024-00812-0
- Ambient PM2.5 and PM10 Exposure and Respiratory Disease Hospitalization in Kandy, Sri Lanka S. Priyankara et al. 10.3390/ijerph18189617
- Environmental storage conditions influencing the filtration behavior of electret filters with repeated use J. Lee et al. 10.1177/15280837221119411
- Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution F. Bulot et al. 10.3390/s20082219
- Air Pollution Measurements and Land-Use Regression in Urban Sub-Saharan Africa Using Low-Cost Sensors—Possibilities and Pitfalls A. Abera et al. 10.3390/atmos11121357
- Development and Performance Evaluation of a Mixed-Sensor System for Fine Particles and Road Traffic Noise C. Wu et al. 10.2139/ssrn.4020749
- Investigation of indoor air quality in university residences using low-cost sensors R. Afroz et al. 10.1039/D2EA00149G
- PM2.5 exposure of various microenvironments in a community: Characteristics and applications W. Hsu et al. 10.1016/j.envpol.2020.114522
- Evaluation and calibration of a low-cost particle sensor in ambient conditions using machine-learning methods M. Si et al. 10.5194/amt-13-1693-2020
- Estimation of aerosol liquid water from optical scattering instruments using ambient and dried sample streams J. Zhang et al. 10.1016/j.atmosenv.2020.117787
- Use of low-cost PM monitors and a multi-wavelength aethalometer to characterize PM2.5 in the Yakama Nation reservation O. Stampfer et al. 10.1016/j.atmosenv.2020.117292
- A Low-Cost Sensor System Installed in Buses to Monitor Air Quality in Cities C. Correia et al. 10.3390/ijerph20054073
- From air quality sensors to sensor networks: Things we need to learn Y. Li et al. 10.1016/j.snb.2021.130958
- Laboratory evaluation of low-cost PurpleAir PM monitors and in-field correction using co-located portable filter samplers J. Tryner et al. 10.1016/j.atmosenv.2019.117067
- How to Get the Best from Low-Cost Particulate Matter Sensors: Guidelines and Practical Recommendations E. Brattich et al. 10.3390/s20113073
- Efficacy of Air Filtration and Education Interventions on Indoor Fine Particulate Matter and Child Lower Respiratory Tract Infections among Rural U.S. Homes Heated with Wood Stoves: Results from the KidsAIR Randomized Trial E. Walker et al. 10.1289/EHP9932
- Evaluation of Two Low-Cost Optical Particle Counters for the Measurement of Ambient Aerosol Scattering Coefficient and Ångström Exponent K. Markowicz & M. Chiliński 10.3390/s20092617
- Establishing A Sustainable Low-Cost Air Quality Monitoring Setup: A Survey of the State-of-the-Art M. Narayana et al. 10.3390/s22010394
- New Water and Air Pollution Sensors Added to the Sonic Kayak Citizen Science System for Low Cost Environmental Mapping A. Griffiths et al. 10.5334/joh.35
- Performance and Deployment of Low-Cost Particle Sensor Units to Monitor Biomass Burning Events and Their Application in an Educational Initiative F. Reisen et al. 10.3390/s21217206
- The approach to adjusting commercial PM2.5 sensors with a filter-based gravimetric method W. Wang et al. 10.1051/e3sconf/202339601119
- Dissecting PM sensor capabilities: A combined experimental and theoretical study on particle sizing and physicochemical properties X. Qin et al. 10.1016/j.envpol.2024.124354
- Laboratory and field evaluation of real-time and near real-time PM 2.5 smoke monitors A. Mehadi et al. 10.1080/10962247.2019.1654036
- Investigation of Low-Cost and Optical Particulate Matter Sensors for Ambient Monitoring M. Rogulski & A. Badyda 10.3390/atmos11101040
- Long-term field comparison of multiple low-cost particulate matter sensors in an outdoor urban environment F. Bulot et al. 10.1038/s41598-019-43716-3
- Use of a Distributed Micro-sensor System for Monitoring the Indoor Particulate Matter Concentration in the Atmosphere of Ferroalloy Production Plants H. Myklebust et al. 10.1007/s11837-022-05487-7
- Spatial and Temporal Variations in SO2 and PM2.5 Levels Around Kīlauea Volcano, Hawai'i During 2007–2018 R. Whitty et al. 10.3389/feart.2020.00036
- Gas source localization and mapping with mobile robots: A review A. Francis et al. 10.1002/rob.22109
- Calibration of low-cost particulate matter sensors: Model development for a multi-city epidemiological study M. Zusman et al. 10.1016/j.envint.2019.105329
- Advancing air quality monitoring: A low-cost sensor network in motion – Part I C. Correia et al. 10.1016/j.jenvman.2024.121179
- Precision and Accuracy of a Direct-Reading Miniaturized Monitor in PM2.5 Exposure Assessment F. Borghi et al. 10.3390/s18093089
- Low-Cost Investigation into Sources of PM2.5 in Kinshasa, Democratic Republic of the Congo D. Westervelt et al. 10.1021/acsestair.3c00024
- Added Value of Vaisala AQT530 Sensors as a Part of a Sensor Network for Comprehensive Air Quality Monitoring T. Petäjä et al. 10.3389/fenvs.2021.719567
- Tutorial: Guidelines for implementing low-cost sensor networks for aerosol monitoring N. Zimmerman 10.1016/j.jaerosci.2021.105872
- Relationship Between the Concentrations Of PM2.5 Indoors Obtained by Using the Optical and Gravimetric Methods: Preliminary Analysis J. PASTUSZKA 10.21307/acee-2020-035
- Deployment of networked low-cost sensors and comparison to real-time stationary monitors in New Delhi J. Prakash et al. 10.1080/10962247.2021.1890276
- Effect of aerosol composition on the performance of low-cost optical particle counter correction factors L. Crilley et al. 10.5194/amt-13-1181-2020
- Evaluation of optical particulate matter sensors under realistic conditions of strong and mild urban pollution A. Masic et al. 10.5194/amt-13-6427-2020
- Evaluating the Performance of Low-Cost Air Quality Monitors in Dallas, Texas H. Khreis et al. 10.3390/ijerph19031647
- Moisture Removal Techniques for a Continuous Emission Monitoring System: A Review T. Dinh & J. Kim 10.3390/atmos12010061
- Performance of Aether Low-Cost Sensor Device for Air Pollution Measurements in Urban Environments. Accuracy Evaluation Applying the Air Quality Index (AQI) G. Spyropoulos et al. 10.3390/atmos12101246
- Hygroscopic properties of particulate matter and effects of their interactions with weather on visibility W. Won et al. 10.1038/s41598-021-95834-6
- A Network of Field-Calibrated Low-Cost Sensor Measurements of PM2.5 in Lomé, Togo, Over One to Two Years G. Raheja et al. 10.1021/acsearthspacechem.1c00391
- Estimating Mass Concentration Using a Low-cost Portable Particle Counter Based on Full-year Observations: Issues to Obtain Reliable Atmospheric PM2.5 Data S. Ueda et al. 10.5572/ajae.2020.14.2.155
- Design and Evaluation of a Dryer System for IoT Hyperlocal Particulate Matter Monitoring Device E. Illueca Fernández et al. 10.1109/JSEN.2024.3364537
- Miniature Optical Particle Counter and Analyzer Involving a Fluidic-Optronic CMOS Chip Coupled with a Millimeter-Sized Glass Optical System G. Jobert et al. 10.3390/s21093181
- Analysis of indoor and outdoor particulate (PM2.5) at a women and children’s hospital in West Jakarta H. Yulinawati et al. 10.1088/1755-1315/737/1/012067
- Measurements of PM<sub>2.5</sub> with PurpleAir under atmospheric conditions K. Ardon-Dryer et al. 10.5194/amt-13-5441-2020
- Portable Sensors for Dynamic Exposure Assessments in Urban Environments: State of the Science J. Hofman et al. 10.3390/s24175653
- Utilization of scattering and absorption-based particulate matter sensors in the environment impacted by residential wood combustion J. Kuula et al. 10.1016/j.jaerosci.2020.105671
- Enhancing the reliability of particulate matter sensing by multivariate Tobit model using weather and air quality data W. Won et al. 10.1038/s41598-023-40468-z
- Characterizing outdoor infiltration and indoor contribution of PM2.5 with citizen-based low-cost monitoring data J. Bi et al. 10.1016/j.envpol.2021.116763
- A quadcopter unmanned aerial system (UAS)-based methodology for measuring biomass burning emission factors R. Vernooij et al. 10.5194/amt-15-4271-2022
- Low-cost sensors and Machine Learning aid in identifying environmental factors affecting particulate matter emitted by household heating A. Hassani et al. 10.1016/j.atmosenv.2023.120108
- Applicability of the low-cost OPC-N3 optical particle counter for microphysical measurements of fog K. Nurowska et al. 10.5194/amt-16-2415-2023
- Qualification of the Alphasense optical particle counter for inline air quality monitoring S. Bezantakos et al. 10.1080/02786826.2020.1864276
- Network of low-cost air quality sensors for monitoring indoor, outdoor, and personal PM2.5 exposure in Seattle during the 2020 wildfire season J. He et al. 10.1016/j.atmosenv.2022.119244
- Community-based participatory research for low-cost air pollution monitoring in the wake of unconventional oil and gas development in the Ohio River Valley: Empowering impacted residents through community science G. Raheja et al. 10.1088/1748-9326/ac6ad6
- Humidity, density, and inlet aspiration efficiency correction improve accuracy of a low-cost sensor during field calibration at a suburban site in the North-Western Indo-Gangetic plain (NW-IGP) H. Pawar & B. Sinha 10.1080/02786826.2020.1719971
- An integrated strategy for air quality monitoring and management in industrial port areas M. López et al. 10.1016/j.clet.2024.100729
- Use of Low-Cost Ambient Particulate Sensors in Nablus, Palestine with Application to the Assessment of Regional Dust Storms A. Khader & R. Martin 10.3390/atmos10090539
- Smart Citizen Kit and Station: An open environmental monitoring system for citizen participation and scientific experimentation G. Camprodon et al. 10.1016/j.ohx.2019.e00070
- Performance evaluation of twelve low-cost PM2.5 sensors at an ambient air monitoring site B. Feenstra et al. 10.1016/j.atmosenv.2019.116946
- Ubiquity of hazardous airborne substances on passenger ferries A. Targino et al. 10.1016/j.jhazmat.2021.127133
- Proposal for concentration calibration method for field evaluation of particulate matters monitors based on light scattering using decision tree techniques S. Park et al. 10.15250/joie.2023.22.4.314
- Development of a physics-based method for calibration of low-cost particulate matter sensors and comparison with machine learning models B. Prajapati et al. 10.1016/j.jaerosci.2023.106284
- A new evaluation method of three different low-cost dust sensors using exponentially decaying particle concentrations K. Kang et al. 10.4491/eer.2020.501
- Design Considerations for a Distributed Low-Cost Air Quality Sensing System for Urban Environments in Low-Resource Settings E. Bainomugisha et al. 10.3390/atmos14020354
- Cross-concentration calibration of low-cost sensors for effective dust monitoring at construction sites L. Zheng et al. 10.1016/j.jaerosci.2024.106456
- 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
- Diurnal and seasonal source‐proximal dust concentrations in complex terrain, West Greenland J. Bullard et al. 10.1002/esp.5661
- Citizen-operated mobile low-cost sensors for urban PM2.5 monitoring: field calibration, uncertainty estimation, and application A. Hassani et al. 10.1016/j.scs.2023.104607
- Assessing the usefulness of dense sensor network for PM2.5 monitoring on an academic campus area M. Badura et al. 10.1016/j.scitotenv.2020.137867
- Field Evaluation of Low-Cost Particulate Matter Sensors for Measuring Wildfire Smoke A. Holder et al. 10.3390/s20174796
- Calibration of Portable Particulate Matter–Monitoring Device using Web Query and Machine Learning B. Loh & G. Choi 10.1016/j.shaw.2019.08.002
- Effect of environmental conditions on the performance of a low-cost atmospheric particulate matter sensor B. Macías-Hernández et al. 10.1016/j.uclim.2023.101753
- Reducing Construction Dust Pollution by Planning Construction Site Layout G. Tao et al. 10.3390/buildings12050531
- A parent-school initiative to assess and predict air quality around a heavily trafficked school P. Kumar et al. 10.1016/j.scitotenv.2022.160587
- Development and Implementation of a Platform for Public Information on Air Quality, Sensor Measurements, and Citizen Science J. Wesseling et al. 10.3390/atmos10080445
- In Situ Calibration Algorithms for Environmental Sensor Networks: A Review F. Delaine et al. 10.1109/JSEN.2019.2910317
- Spatial calibration and PM2.5 mapping of low-cost air quality sensors H. Chu et al. 10.1038/s41598-020-79064-w
- An overview of outdoor low-cost gas-phase air quality sensor deployments: current efforts, trends, and limitations K. Okorn & L. Iraci 10.5194/amt-17-6425-2024
- Methodology for Addressing Infectious Aerosol Persistence in Real-Time Using Sensor Network S. Makhsous et al. 10.3390/s21113928
- Application of Gaussian Mixture Regression for the Correction of Low Cost PM2.5 Monitoring Data in Accra, Ghana C. McFarlane et al. 10.1021/acsearthspacechem.1c00217
- Preliminary research for low-cost particulate matter sensor network C. Báthory et al. 10.1051/e3sconf/201910000004
- Influence of particle properties and environmental factors on the performance of typical particle monitors and low-cost particle sensors in the market of China D. Wu et al. 10.1016/j.atmosenv.2021.118825
3 citations as recorded by crossref.
- An experimental application of laser-scattering sensor to estimate the traffic-induced PM2.5 in Beijing X. Liu et al. 10.1007/s10661-020-08398-9
- Design and evaluation of a portable PM2.5 monitor featuring a low-cost sensor in line with an active filter sampler J. Tryner et al. 10.1039/C9EM00234K
- Impact of California Fires on Local and Regional Air Quality: The Role of a Low‐Cost Sensor Network and Satellite Observations P. Gupta et al. 10.1029/2018GH000136
Discussed (final revised paper)
Discussed (preprint)
Latest update: 23 Nov 2024
Short summary
It is important to correctly interpret the readings reported by low cost airborne particle sensors at high humidity. We demonstrate that deliquescent growth of particles and the formation of fog droplets in the atmosphere can lead to significant increases in particle number and mass concentrations reported by such sensors, unless they are fitted with dryers at the inlet. This is important as air quality standards for particles are specifically limited to solid particles.
It is important to correctly interpret the readings reported by low cost airborne particle...