309 citations as recorded by crossref.

1. Measurement report: A complex street-level air quality observation campaign in a heavy-traffic area utilizing the multivariate adaptive regression splines method for field calibration of low-cost sensors P. Bauerová et al.
2. Application of Modern Low-Cost Sensors for Monitoring of Particle Matter in Temperate Latitudes: An Example from the Southern Baikal Region M. Shikhovtsev et al.
3. Air quality mapping and visualisation: An affordable solution based on a vehicle-mounted sensor network P. Santana et al.
4. Low-Cost Air Quality Sensors: Biases, Corrections and Challenges in Their Comparability I. Hayward et al.
5. Dual-purpose smoke alarms: Integrating low-cost PM 2.5 sensors for combined fire detection and indoor air quality monitoring S. Lekamge et al.
6. A multilevel window state model based on outdoor environmental conditions that captures behavioural variation at room and apartment levels Y. Wang et al.
7. Real-Time Measurements of Indoor–Outdoor Exchange of Gaseous and Particulate Atmospheric Pollutants in an Urban Area E. Alonso-Blanco et al.
8. Traffic pollution: A search for solutions for a city like Nairobi F. Rajé et al.
9. An Investigation on the Possible Application Areas of Low-Cost PM Sensors for Air Quality Monitoring D. Suriano & M. Prato
10. Evaluating the Performance of Low-Cost PM2.5Sensors in Mobile Settings P. deSouza et al.
11. Low-Cost Particulate Matter Mass Sensors: Review of the Status, Challenges, and Opportunities for Single-Instrument and Network Calibration J. Zhang et al.
12. Qualification of the Alphasense optical particle counter for inline air quality monitoring S. Bezantakos et al.
13. Diagnosing domestic and transboundary sources of fine particulate matter (PM2.5) in UK cities using GEOS-Chem J. Kelly et al.
14. Calibrating low-cost sensors for ambient air monitoring: Techniques, trends, and challenges L. Liang
15. Theoretical Design of the Scattering-Based Sensor for Analysis of the Vehicle Tailpipe Emission S. Molaie & P. Lino
16. Tutorial: Guidelines for implementing low-cost sensor networks for aerosol monitoring N. Zimmerman
17. Modelling calibration uncertainty in networks of environmental sensors M. Smith et al.
18. Monitoring of Indoor Air Quality in a Classroom Combining a Low-Cost Sensor System and Machine Learning I. Apostolopoulos et al.
19. Evaluation of PM10 and PM2.5 Concentrations from Online Light Scattering Dust Monitors Using Gravimetric and Beta-ray Absorption Methods B. Lee & S. Park
20. A machine learning field calibration method for improving the performance of low-cost particle sensors S. Patra et al.
21. Image correlation method to simulate physical characteristic of particulate matter D. Gaur et al.
22. Controls on surface aerosol particle number concentrations and aerosol-limited cloud regimes over the central Greenland Ice Sheet H. Guy et al.
23. 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.
24. Performance characterization of low-cost air quality sensors for off-grid deployment in rural Malawi A. Bittner et al.
25. A Review of Low-Cost Particulate Matter Sensors from the Developers’ Perspectives B. Alfano et al.
26. Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution—Part B—Particle Number Concentrations F. Bulot et al.
27. Urban Air Quality Management at Low Cost Using Micro Air Sensors: A Case Study from Accra, Ghana C. Hodoli et al.
28. Comprehensive comparison of correction techniques for low-cost air quality sensors: the impact of device type and deployment environment I. Hayward et al.
29. Seasonal Changes in Urban PM2.5 Hotspots and Sources from Low-Cost Sensors L. Harr et al.
30. Laboratory evaluation of the Alphasense OPC-N3, and the Plantower PMS5003 and PMS6003 sensors K. Kaur & K. Kelly
31. Towards comprehensive air quality management using low-cost sensors for pollution source apportionment D. Bousiotis et al.
32. Calibration of Integrated Low-Cost Environmental Sensors for Urban Air Temperature Based on Machine Learning F. Nan et al.
33. Measurements of PM2.5 with PurpleAir under atmospheric conditions K. Ardon-Dryer et al.
34. Analytical performance and calibration strategies of low-cost particulate matter sensors for indoor and workplace monitoring—a review Z. Feng et al.
35. Performance of low-cost indoor air quality monitors for PM2.5 and PM10 from residential sources Z. Wang et al.
36. Assessing the sources of particles at an urban background site using both regulatory instruments and low-cost sensors – a comparative study D. Bousiotis et al.
37. Performance assessment of NOVA SDS011 low-cost PM sensor in various microenvironments A. Božilov et al.
38. Environmental Impact by Particulate Material and Meteorological Parameters on the Incidence of Positive Cases of COVID-19 During the First Year of the Pandemic in a High Andean City I. Miranda Hankgo et al.
39. Laboratory evaluation of low-cost PurpleAir PM monitors and in-field correction using co-located portable filter samplers J. Tryner et al.
40. A Smoke Chamber Study on Some Low-Cost Sensors for Monitoring Size-Segregated Aerosol and Microclimatic Parameters L. Bencs & A. Nagy
41. Providing Fine Temporal and Spatial Resolution Analyses of Airborne Particulate Matter Utilizing Complimentary In Situ IoT Sensor Network and Remote Sensing Approaches P. Dewage et al.
42. Calibration of low-cost particulate matter sensors: Model development for a multi-city epidemiological study M. Zusman et al.
43. Measuring Spatial and Temporal PM2.5 Variations in Sacramento, California, Communities Using a Network of Low-Cost Sensors A. Mukherjee et al.
44. Deriving the hygroscopicity of ambient particles using low-cost optical particle counters W. Huang et al.
45. Development and Performance Evaluation of a Mixed-Sensor System for Fine Particles and Road Traffic Noise C. Wu et al.
46. Estimating PM2.5 in Fort Collins, Colorado using a robust drive-by correction of low-cost air quality monitors deployed on school buses P. deSouza et al.
47. Estimation of aerosol liquid water from optical scattering instruments using ambient and dried sample streams J. Zhang et al.
48. Improving PM10 sensor accuracy in urban areas through calibration in Timișoara R. Blaga & S. Gautam
49. Particulate matter concentrations in social housing A. Mendell et al.
50. Machine Learning Calibration Transfer for Low-Cost Air Quality Sensors: Distance-Based Uncertainty Quantification in a Hybrid Urban Monitoring Network P. Zhivkov & S. Fidanova
51. Impact on airborne virus behavior by an electric heat pump (EHP) operation in a restaurant during winter season J. Yu et al.
52. Impacts of daily household activities on indoor particulate and NO2 concentrations; a case study from oxford UK A. Singh et al.
53. Indoor and outdoor air quality impacts of cooking and cleaning emissions from a commercial kitchen J. Ditto et al.
54. Challenges and opportunities of low-cost sensors in capturing the impacts of construction activities on neighborhood air quality W. Jaafar et al.
55. Establishing A Sustainable Low-Cost Air Quality Monitoring Setup: A Survey of the State-of-the-Art M. Narayana et al.
56. Examining spatiotemporal variability of urban particulate matter and application of high-time resolution data from a network of low-cost air pollution sensors S. Feinberg et al.
57. Determination of Hygroscopic Aerosol Growth Based on the OPC-N3 Counter K. Nurowska & K. Markowicz
58. Evaluation of Low-Cost Sensors for Ambient PM2.5 Monitoring M. Badura et al.
59. Performance evaluation of ozone and particulate matter sensors H. DeWitt et al.
60. Assessment of particulate matter (PM10, PM5, PM2.5, and PM1) concentrations at significant intersections in Douala-Cameroon city using low-cost sensors Y. Ngangmo & C. Adiang
61. Managing and monitoring indoor air quality and surface decontamination in healthcare environments G. Cappelli et al.
62. Investigation of Vertical Profiles of Particulate Matter and Meteorological Variables up to 2.5 km in Altitude Using a Drone-Based Monitoring System W. Kim et al.
63. Low Cost Sensor Networks: How Do We Know the Data Are Reliable? D. Williams
64. Towards European automatic bioaerosol monitoring: Comparison of 9 automatic pollen observational instruments with classic Hirst-type traps J. Maya-Manzano et al.
65. Characterising low-cost sensors in highly portable platforms to quantify personal exposure in diverse environments L. Chatzidiakou et al.
66. Enhancing the reliability of particulate matter sensing by multivariate Tobit model using weather and air quality data W. Won et al.
67. Exploration of a practical approach to providing RH corrections to low cost sensor networks S. Lekamge & H. Oswin
68. Air Quality Monitoring in Coal-Centric Cities: A Hybrid Approach S. Mora et al.
69. Effect of Atmospheric Humidity on Fine Dust Measurement Using the Light Scattering Method C. Lee & S. Oh
70. Predicting airborne pollutant concentrations and events in a commercial building using low-cost pollutant sensors and machine learning: A case study A. Mohammadshirazi et al.
71. Chemical Characterization of Aerosol Particles Using On-Chip Photonic Cavity Enhanced Spectroscopy R. Singh et al.
72. Garbage in, gospel out? – Air quality assessment in the UK planning system A. Mills & S. Peckham
73. Long-Term Evaluation and Calibration of Low-Cost Particulate Matter (PM) Sensor H. Lee et al.
74. Air quality monitoring using mobile low-cost sensors mounted on trash-trucks: Methods development and lessons learned P. deSouza et al.
75. Evaluation of optical particulate matter sensors under realistic conditions of strong and mild urban pollution A. Masic et al.
76. Dissecting PM sensor capabilities: A combined experimental and theoretical study on particle sizing and physicochemical properties X. Qin et al.
77. A study on a low-cost real time MEMS based modular Indoor Environmental Quality monitor sensor N. Nanos et al.
78. A 10-year Analysis on the Reduction of Particulate Matter at the Green Buffer of the Sihwa Industrial Complex S. Yoo et al.
79. Estimation of real-time PM exposure and associated health risk of HEMM operators using low-cost sensors in a highly mechanised opencast coal mine D. Pradhan et al.
80. Opportunities for Low‐Cost Particulate Matter Sensors in Filter Emission Measurements A. Schwarz et al.
81. Improving Aerosol Characterization Using an Optical Particle Counter Coupled with a Quartz Crystal Microbalance with an Integrated Microheater E. Zampetti et al.
82. Atmospheric Chemistry Analysis: A Review P. Forbes
83. Quantification of within-vehicle exposure to NOx and particles: Variation with outside air quality, route choice and ventilation options V. Matthaios et al.
84. Performance of a low-cost optical particle counter (Alphasense OPC-N3) in estimating size-resolved dust emission flux using eddy covariance S. Dupont et al.
85. Investigation of Low-Cost and Optical Particulate Matter Sensors for Ambient Monitoring M. Rogulski & A. Badyda
86. Low-Cost Investigation into Sources of PM2.5 in Kinshasa, Democratic Republic of the Congo D. Westervelt et al.
87. Direct measurement techniques for atmospheric aerosol: Physical properties review Y. Zhang & Y. Han
88. Long-term field comparison of multiple low-cost particulate matter sensors in an outdoor urban environment F. Bulot et al.
89. Short-sea shipping contributions to particle concentration in coastal areas: Impact and mitigation F. Di Natale et al.
90. Utilizing a Low-Cost Air Quality Sensor: Assessing Air Pollutant Concentrations and Risks Using Low-Cost Sensors in Selangor, Malaysia Z. Khaslan et al.
91. Effect of micropillars with varying geometry and density on the efficiency of impaction-based quartz crystal microbalance aerosol sensors M. Hajizadehmotlagh & I. Paprotny
92. Particulate air pollution in the Copenhagen metro part 1: Mass concentrations and ventilation N. Kappelt et al.
93. Source specific exposure and risk assessment for indoor aerosols A. Koivisto et al.
94. Development and testing a low-cost device for airborne PM monitoring in highly anthropized areas: The international maritime hub of Civitavecchia (Rome, Italy) F. Lucci et al.
95. Pinpointing sources of pollution using citizen science and hyperlocal low-cost mobile source apportionment D. Bousiotis et al.
96. The Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS): Integration of Low-Cost Sensors and Reference Grade Monitoring in a Complex Metropolitan Area. Part 1: Overview of the Project S. Kimbrough et al.
97. Innovative Air-Preconditioning Method for Accurate Particulate Matter Sensing in Humid Environments Z. Kunić et al.
98. Data collected by a drone backpack for air quality and atmospheric state measurements during Pallas Cloud Experiment 2022 (PaCE2022) D. Brus et al.
99. Application of low-cost fine particulate mass monitors to convert satellite aerosol optical depth to surface concentrations in North America and Africa C. Malings et al.
100. Foliar surfaces as dust and aerosol pollution monitors: An assessment by a mining site K. Zeider et al.
101. Drive-by Air Pollution Sensing Systems: Challenges and Future Directions H. Zarrar & V. Dyo
102. Investigating the evolution of gaseous air pollutants with prevailing meteorology across selected sites within a pollution hotspot in Ile-Ife, Southwestern Nigeria O. Omokungbe et al.
103. Field evaluation of low-cost particulate matter sensors in high- and low-concentration environments T. Zheng et al.
104. Towards a hygroscopic growth calibration for low-cost PM2.5 sensors M. Patel et al.
105. Determination of PM1, PM2.5, PM5, CO and CO2 Emission Rates and Emission Factors of Mosquito Coils by a Chamber Experiment D. Majumdar et al.
106. Optical measurement method of non-spherical particle size and concentration based on high-temperature melting technique L. Lu et al.
107. Analysis of PM 2.5 , black carbon, and trace metals measurements from the Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS) R. Duvall et al.
108. Enhancing PM2.5 Measurement Accuracy: Insights from Environmental Factors and BAM‐Light Scattering Device Correlation M. Kim et al.
109. Characterisation and calibration of low-cost PM sensors at high temporal resolution to reference-grade performance F. Bulot et al.
110. Gaussian process regression model for dynamically calibrating and surveilling a wireless low-cost particulate matter sensor network in Delhi T. Zheng et al.
111. Insights into the utility of small form air quality monitoring in health care environments: lessons learned from the University Hospitals Birmingham NHS Foundation Trust N. Cowell et al.
112. Fine particle mass monitoring with low-cost sensors: Corrections and long-term performance evaluation C. Malings et al.
113. Mapping pollution exposure and chemistry during an extreme air quality event (the 2018 Kīlauea eruption) using a low-cost sensor network B. Crawford et al.
114. Incorporating Low-Cost Sensor Measurements into High-Resolution PM2.5 Modeling at a Large Spatial Scale J. Bi et al.
115. Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution F. Bulot et al.
116. Measuring Particulate Matter: An Investigation on Sensor Technology, Particle Size, Monitoring Site F. Gandino et al.
117. Reactivity of B12N12 nanocage toward nitrosyl halides: Adsorption of NOF, NOCl, and NOBr using DFT framework P. Parkar et al.
118. Improving Low-Cost Optical PM Sensor Accuracy in Humid Conditions via Aerosol Liquid Water Estimation Using U.S. EPA CSN Data Y. Guo et al.
119. An Optical Sampling System for Distributed Atmospheric Particulate Matter L. Lombardo et al.
120. A novel spatiotemporal prediction approach to fill air pollution data gaps using mobile sensors, machine learning and citizen science techniques A. Baruah et al.
121. The impact of urban mobility on air pollution in Kampala, an exemplar sub-Saharan African city O. Ghaffarpasand et al.
122. Field-based calibration and operation of low-cost sensors for particulate matter by linear and nonlinear methods C. Mai et al.
123. Assessment of detected in situ and modeled PM10/2.5 concentration levels during the urban transformation process in Novi Sad, Serbia M. Sunjevic et al.
124. Design and Evaluation of a Calibration Chamber for Low-Cost PM Sensors–Part 1: Number Concentration-Based Assessment V. Malyan et al.
125. A parent-school initiative to assess and predict air quality around a heavily trafficked school P. Kumar et al.
126. A GPS-enabled portable air pollution sensor and web-mapping technologies for field-based learning in health geography Y. Park
127. Developing a Relative Humidity Correction for Low-Cost Sensors Measuring Ambient Particulate Matter A. Di Antonio et al.
128. Assessment of seasonal variation in PM2.5 concentration using low-cost sensors: A case study of Jaipur city, India S. Chaudhry et al.
129. Urban Air Pollutant Monitoring through a Low-Cost Mobile Device Connected to a Smart Road S. Chiesa et al.
130. The Unmanned Systems Research Laboratory (USRL): A New Facility for UAV-Based Atmospheric Observations M. Kezoudi et al.
131. Distant calibration of low-cost PM and NO2 sensors; evidence from multiple sensor testbeds J. Hofman et al.
132. Methodology for Addressing Infectious Aerosol Persistence in Real-Time Using Sensor Network S. Makhsous et al.
133. Particulate air pollution in the Copenhagen metro part 2: Low-cost sensors and micro-environment classification H. Russell et al.
134. Long-term evaluation of commercial air quality sensors: an overview from the QUANT (Quantification of Utility of Atmospheric Network Technologies) study S. Diez et al.
135. Development of a physics-based method for calibration of low-cost particulate matter sensors and comparison with machine learning models B. Prajapati et al.
136. Gas- and Particle-Phase Amide Emissions from Cooking: Mechanisms and Air Quality Impacts J. Ditto et al.
137. Field performance of a low-cost sensor in the monitoring of particulate matter in Santiago, Chile M. Tagle et al.
138. A review on ambient and indoor air pollution status in Africa K. Agbo et al.
139. A case study evaluating the performance of a cost-effective optical particle counter coupled with a humidity compensation approach for ambient air monitoring of particulate matter T. Dinh et al.
140. Evaluation of Two Low-Cost Optical Particle Counters for the Measurement of Ambient Aerosol Scattering Coefficient and Ångström Exponent K. Markowicz & M. Chiliński
141. Development of Air Quality Boxes Based on Low-Cost Sensor Technology for Ambient Air Quality Monitoring P. Gäbel et al.
142. Performance evaluation of twelve low-cost PM2.5 sensors at an ambient air monitoring site B. Feenstra et al.
143. Molecular Characterization of Composition and Volatility of Ambient Organic Aerosol Sampled by an UAV-Mounted Portable Aethalometer Q. Xie et al.
144. Risk of Airborne COVID-19 Transmission While Performing Humphrey Visual Field Testing N. Jain et al.
145. Long-term evaluation and calibration of three types of low-cost PM2.5 sensors at different air quality monitoring stations G. Hong et al.
146. Calibration of Portable Particulate Matter–Monitoring Device using Web Query and Machine Learning B. Loh & G. Choi
147. Design and Implementation of a Crowdsensing-Based Air Quality Monitoring Open and FAIR Data Infrastructure P. Diviacco et al.
148. Multi-Sensor Instrument for Aerosol In Situ Measurements I. Bruchkouski et al.
149. Machine learning techniques to improve the field performance of low-cost air quality sensors T. Bush et al.
150. Light painting photography makes particulate matter air pollution visible F. Pope et al.
151. Applicability of the low-cost OPC-N3 optical particle counter for microphysical measurements of fog K. Nurowska et al.
152. Comparison of Sensors for Air Quality Monitoring with Reference Methods in Zagreb, Croatia S. Davila et al.
153. Leveraging machine learning algorithms to advance low-cost air sensor calibration in stationary and mobile settings A. Wang et al.
154. Calibrating networks of low-cost air quality sensors P. deSouza et al.
155. A MISR-Based Method for the Estimation of Particle Size Distribution: Comparison with AERONET over China Y. Shao et al.
156. Indoor air quality assessment using low-cost sensors, and impact of outdoors Y. Dahima & A. Vaishya
157. Effect of relative humidity on the performance of five cost-effective PM sensors P. Wang et al.
158. Minaturised condensation particle counters: Radial sheathing S. Balendra et al.
159. Evaluation of a low-cost dryer for a low-cost optical particle counter M. Chacón-Mateos et al.
160. Assessment of Integrated Aerosol Sampling Techniques in Indoor, Confined and Outdoor Environments Characterized by Specific Emission Sources L. Borgese et al.
161. Development and evolution of an anomalous Asian dust event across Europe in March 2020 L. Tositti et al.
162. Inferring Aerosol Sources from Low-Cost Air Quality Sensor Measurements: A Case Study in Delhi, India D. Hagan et al.
163. Performance evaluation of MOMA (MOment MAtching) – a remote network calibration technique for PM2.5 and PM10 sensors L. Weissert et al.
164. A critical evaluation of the dynamic nature of indoor-outdoor air quality ratios S. Stamp et al.
165. Field evaluation of low-cost particulate matter (PM) sensor instruments in indoor and outdoor environments: A university lecture hall and urban southeastern United States S. Westgate et al.
166. Traceable PM2.5 and PM10 Calibration of Low-Cost Sensors with Ambient-like Aerosols Generated in the Laboratory S. Horender et al.
167. An integrated electrical condensation particle counter for compact and low-cost ultrafine particle measurement system J. Jeon et al.
168. Study on calibration of low-cost particulate matter sensors for hydrophilic and hydrophobic particles under varying relative humidity D. Agrawal et al.
169. Preliminary research for low-cost particulate matter sensor network C. Báthory et al.
170. Use of networks of low cost air quality sensors to quantify air quality in urban settings O. Popoola et al.
171. Development of a real-time total suspended particle mass concentration measurement system based on light scattering for monitoring fugitive dust in construction sites W. Sung et al.
172. Unveiling the Limits of Existing Correction Factors for a Low-Cost PM2.5 Sensor in Cold Environments and Development of a Tailored Solution J. Leenose et al.
173. Constructing a pollen proxy from low-cost Optical Particle Counter (OPC) data processed with Neural Networks and Random Forests S. Mills et al.
174. 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
175. City Scale Particulate Matter Monitoring Using LoRaWAN Based Air Quality IoT Devices S. Johnston et al.
176. Mapping trends and analyzing key themes in low-cost sensors for air quality monitoring K. Alhasa et al.
177. MoreAir: A Low-Cost Urban Air Pollution Monitoring System I. Gryech et al.
178. Sensitivity Analysis of the Surface Acoustic Wave Sensor towards Size-Distributed Particulate Matter J. Yang et al.
179. Estimating fugitive particle emission from coal storage yard of thermal power plant using the flux-gradient method S. Kim et al.
180. Field Testing of Low-Cost PM Sensors in Animal Production Facilities S. Uğuz et al.
181. Airborne particulate matter monitoring in Kenya using calibrated low-cost sensors F. Pope et al.
182. Microfluidic condensation nanoparticle counter using water as the condensing liquid for assessing individual exposure to airborne nanoparticles H. Kwon et al.
183. 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
184. Detection of a biological aerosol using optical particle counters P. Ørby et al.
185. Quantifying the dynamic characteristics of indoor air pollution using real-time sensors: Current status and future implication J. Wang et al.
186. Hyperlocal environmental data with a mobile platform in urban environments A. Wang et al.
187. Comparison of methods for resolving the contributions of local emissions to measured concentrations T. Edwards et al.
188. In-kitchen aerosol exposure in twelve cities across the globe P. Kumar et al.
189. Evaluation of low-cost aerosol and gas sensors for real-time measurements of electronic cigarette exposure S. Sousan et al.
190. Efficacy of Low-Cost Sensor Networks at Detecting Fine-Scale Variations in Particulate Matter in Urban Environments A. Heintzelman et al.
191. Local spatiotemporal dynamics of particulate matter and oak pollen measured by machine learning aided optical particle counters S. Mills et al.
192. Academically Produced Air Pollution Sensors for Personal Exposure Assessment: The Canarin Project B. Dessimond et al.
193. Particulate matter in a lockdown home: evaluation, calibration, results and health risk from an IoT enabled low-cost sensor network for residential air quality monitoring N. Cowell et al.
194. Aerosol hygroscopicity: Hygroscopic growth proxy based on visibility for low-cost PM monitoring A. Molnár et al.
195. Assessment of aerosol persistence in ICUs via low-cost sensor network and zonal models K. Glenn et al.
196. Can low-cost sensors (LCS) enhance air quality monitoring for personal pollution exposure assessment? A. Ilenič et al.
197. Evaluation of PM2.5 measured in an urban setting using a low-cost optical particle counter and a Federal Equivalent Method Beta Attenuation Monitor B. Magi et al.
198. Field Evaluation of Low-Cost PM Sensors (Purple Air PA-II) Under Variable Urban Air Quality Conditions, in Greece I. Stavroulas et al.
199. Low-Cost Air Quality Sensors: One-Year Field Comparative Measurement of Different Gas Sensors and Particle Counters with Reference Monitors at Tušimice Observatory P. Bauerová et al.
200. Using a network of lower-cost monitors to identify the influence of modifiable factors driving spatial patterns in fine particulate matter concentrations in an urban environment S. Rose Eilenberg et al.
201. Air Quality Sensor Networks for Evidence-Based Policy Making: Best Practices for Actionable Insights J. Hofman et al.
202. Significance of sources and size distribution on calibration of low-cost particle sensors: Evidence from a field sampling campaign V. Malyan et al.
203. MitH: A framework for Mitigating Hygroscopicity in low-cost PM sensors M. Casari & L. Po
204. Fine particulate matter (PM2.5) exposure assessment among active daily commuters to induce behaviour change to reduce air pollution A. Ilenič et al.
205. Studies on the concentrations of particulate matter and ammonia gas from three laying hen rearing systems during the summer season E. Hong et al.
206. Development and performance evaluation of a mixed-sensor system for fine particles and road traffic noise C. Wu et al.
207. A Network of Field-Calibrated Low-Cost Sensor Measurements of PM2.5 in Lomé, Togo, Over One to Two Years G. Raheja et al.
208. Observationally constrained mass balance box model analysis of aerosol mitigation potential using fan powered filters S. Wang et al.
209. Improving Data Quality of Low-Cost Light-Scattering PM Sensors: Toward Automatic Air Quality Monitoring in Urban Environments G. Ramirez-Espinosa et al.
210. Annual NO2 as a Predictor of Hourly NO2 Variability: Do Defra UK’s Heuristics Make Sense? A. Mills & S. Peckham
211. 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.
212. Assessment of Low-Cost Particulate Matter Sensor Systems against Optical and Gravimetric Methods in a Field Co-Location in Norway M. Vogt et al.
213. Field Calibration and Evaluation of an Internet-of-Things-Based Particulate Matter Sensor N. Cowell et al.
214. 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.
215. Effects of Gas and Steam Humidity on Particulate Matter Measurements Obtained Using Light-Scattering Sensors H. Kim et al.
216. Evaluation of two low-cost PM monitors under different laboratory and indoor conditions R. He et al.
217. Monitoring and apportioning sources of indoor air quality using low-cost particulate matter sensors D. Bousiotis et al.
218. Hybrid particulate matter generated by lava-ignited wildfires at the Litli-Hrútur 2023 eruption, Iceland L. Wainman et al.
219. Spatial and Temporal Variations in SO2 and PM2.5 Levels Around Kīlauea Volcano, Hawai'i During 2007–2018 R. Whitty et al.
220. Application of micro-morphology in the physical characterization of urban road dust J. Jose & B. Srimuruganandam
221. Hyperlocal air pollution in an urban environment - measured with low-cost sensors L. Frederickson et al.
222. Design and Evaluation of a Dryer System for IoT Hyperlocal Particulate Matter Monitoring Device E. Illueca Fernández et al.
223. Laboratory and field evaluation of a low-cost optical particle sizer M. Tang et al.
224. Application of PM 2.5 low-cost sensors for indoor air quality compliance monitoring L. Morawska et al.
225. Applicability of factory calibrated optical particle counters for high-density air quality monitoring networks in Ghana C. Gameli Hodoli et al.
226. Quantifying the contribution of different microenvironments to real-time PM2.5 exposure of rural and urban residents in southwest China P. Wang et al.
227. Significance of Meteorological Feature Selection and Seasonal Variation on Performance and Calibration of a Low-Cost Particle Sensor V. Kumar et al.
228. Relevance of Drift Components and Unit-to-Unit Variability in the Predictive Maintenance of Low-Cost Electrochemical Sensor Systems in Air Quality Monitoring G. Tancev
229. Evaluation and source apportionment of persistent decadal air pollution disparities in Kansas City, Missouri S. Ojha et al.
230. Improved Fine Particles Monitoring in Smart Cities by Means of Advanced Data Concentrator P. Castello et al.
231. Low-cost sensor system for monitoring the oil mist concentration in a workshop H. Zhang et al.
232. Air quality dataset of particulate matter PM2.5 & PM10 from the monitoring network in Asuncion metropolitan area, Paraguay C. Recalde et al.
233. Development and evaluation of correction models for a low-cost fine particulate matter monitor B. Nilson et al.
234. Quality of Air Module for Environmental Learning Engineering and Observation Network (QameleON-Dijon) : un réseau dense de mesures de la qualité de l’air à Dijon N. Martiny et al.
235. Exploring the applicability and limitations of selected optical scattering instruments for PM mass measurement J. Zhang et al.
236. Application of the Correction Function to Improve the Quality of PM Measurements with Low-Cost Devices M. Rogulski et al.
237. Deployment and Evaluation of a Network of Open Low-Cost Air Quality Sensor Systems P. Schneider et al.
238. The influence of humidity on the performance of a low-cost air particle mass sensor and the effect of atmospheric fog R. Jayaratne et al.
239. Visibility as a proxy for air quality in East Africa A. Singh et al.
240. What can we learn from nested IoT low‐cost sensor networks for air quality? A case study of PM2.5 in Birmingham, UK N. Cowell et al.
241. Field calibration and performance evaluation of low-cost sensors for monitoring airborne PM in the occupational mining environment A. Penchala et al.
242. Source identification with high-temporal resolution data from low-cost sensors using bivariate polar plots in urban areas of Ghana C. Hodoli et al.
243. Spatial-Temporal Analysis of PM2.5 and NO2 Concentrations Collected Using Low-Cost Sensors in Peñuelas, Puerto Rico S. Reece et al.
244. Field Evaluation and Calibration of Low-Cost Air Pollution Sensors for Environmental Exposure Research J. Huang et al.
245. Evaluating Indoor Low-Cost Particle Sensors: Algorithmic Insights and Calibration Approaches N. Ma et al.
246. Facility for production of ambient-like model aerosols (PALMA) in the laboratory: application in the intercomparison of automated PM monitors with the reference gravimetric method S. Horender et al.
247. SensEURCity: A multi-city air quality dataset collected for 2020/2021 using open low-cost sensor systems M. Van Poppel et al.
248. A Low-Cost Sensor System Installed in Buses to Monitor Air Quality in Cities C. Correia et al.
249. Comparison of Real‐Time PM2.5 Between Rural and Urban Homes in Southwest China Based on Field Measurement: Insight Into the Cooking Activity Contribution W. Du et al.
250. Response of low-cost sensors to high PM 2.5 concentrations during bushfire and haze events X. Liu et al.
251. Development of a low-cost sensing platform for air quality monitoring: application in the city of Rome L. Shindler
252. Low-Cost Sensor Performance Intercomparison, Correction Factor Development, and 2+ Years of Ambient PM2.5 Monitoring in Accra, Ghana G. Raheja et al.
253. Seasonal Variability in the Particulate Matter Removal Efficiency of Different Urban Plant Communities: A Case Study Y. Gui & L. Lin
254. Effects of aerosol type and simulated aging on performance of low-cost PM sensors J. Tryner et al.
255. Calibration Methods for Low-Cost Particulate Matter Sensors Considering Seasonal Variability J. Kang & K. Choi
256. Use of portable air purifiers in homes: Operating behaviour, effect on indoor PM2.5 and perceived indoor air quality E. Cooper et al.
257. Short-Sea Shipping Contributions to Particles Concentration in Coastal Areas: Impact and Mitigation F. Di Natale et al.
258. How to Get the Best from Low-Cost Particulate Matter Sensors: Guidelines and Practical Recommendations E. Brattich et al.
259. From a Low-Cost Air Quality Sensor Network to Decision Support Services: Steps towards Data Calibration and Service Development T. Veiga et al.
260. Seasonal multisite low-cost sensor measurements to estimate spatial and temporal variability of particulate matter pollution in Nairobi, Kenya E. Nyaga et al.
261. Effect of aerosol composition on the performance of low-cost optical particle counter correction factors L. Crilley et al.
262. On the importance of the flow field in inexpensive optical aerosol particle counting and sizing C. Loizidis et al.
263. Influence of seasonal variation on spatial distribution of PM2.5 concentration using low-cost sensors S. Chaudhry et al.
264. A surrogate-assisted measurement correction method for accurate and low-cost monitoring of particulate matter pollutants M. Wojcikowski et al.
265. A case study on the effect of contaminated inlet tubes on the accuracy of mid-cost optical particle counters for the ambient air monitoring of fine particles T. Dinh et al.
266. The Influence of Marine Traffic on Particulate Matter (PM) Levels in the Region of Danish Straits, North and Baltic Seas S. Firląg et al.
267. Low-Cost Sensor Node for Air Quality Monitoring: Field Tests and Validation of Particulate Matter Measurements U. Schilt et al.
268. Moving from monitoring to real-time interventions for air quality: are low-cost sensor networks ready to support urban digital twins? N. Cowell et al.
269. Fine-scale fluctuations of PM1, PM2.5, PM10 and SO2 concentrations caused by a prolonged volcanic eruption (Fagradalsfjall 2021, Iceland) R. Whitty et al.
270. Aerosol Measurement Degradation in Low-Cost Particle Sensors Using Laboratory Calibration and Field Validation A. Peck et al.
271. City-scale calibration of a low-cost PM2.5 network for regulatory-compliant air-quality assessment R. Blaga et al.
272. Particulate Matter and Volatile Organic Compound Emissions Generated from a Domestic Air Fryer X. Wang & A. Chan
273. Advancing air quality monitoring: A low-cost sensor network in motion – Part I C. Correia et al.
274. Laboratory Evaluation of ARMIE, a Portable SPS30-Based Low-Cost Sensor Node for PM2.5 Monitoring A. Kloppenborg et al.
275. A study on the performance of low-cost sensors for source apportionment at an urban background site D. Bousiotis et al.
276. Assessing the accuracy of low-cost optical particle sensors using a physics-based approach D. Hagan & J. Kroll
277. Long-term evaluation of air sensor technology under ambient conditions in Denver, Colorado S. Feinberg et al.
278. Analysis of the variability of airborne particulate matter with prevailing meteorological conditions across a semi-urban environment using a network of low-cost air quality sensors O. Omokungbe et al.
279. Development and evaluation of an online monitoring single-particle optical particle counter with polarization detection W. Yao et al.
280. Mitigating the impact of air pollution on dementia and brain health: Setting the policy agenda B. Castellani et al.
281. SENSORES DE MATERIAL PARTICULADO EN SUSPENSIÓN DE BAJO COSTO: INTEGRACIÓN AL MONITOREO DE LA CALIDAD DEL AIRE D. Gomez & J. Vassallo
282. Review of the Performance of Low-Cost Sensors for Air Quality Monitoring F. Karagulian et al.
283. Prediction of fluid-particle dynamics and performance in fibrous filters obtained from X-ray CT using convolutional neural network and discrete phase model K. Hada et al.
284. QUANT: a long-term multi-city commercial air sensor dataset for performance evaluation S. Diez et al.
285. Mass concentration measurements of autumn bioaerosol using low-cost sensors in a mature temperate woodland free-air carbon dioxide enrichment (FACE) experiment: investigating the role of meteorology and carbon dioxide levels A. Baird et al.
286. The Aerosol Research Observation Station (AEROS) K. Ardon-Dryer et al.
287. Comparison of PM10 emission flux of two fugitive area sources based on the real-time flux monitoring results S. Kim et al.
288. PM2.5 exposure differences between children and adults L. Harr et al.
289. Field Calibration and Performance of Low-Cost Sensors in Kathmandu Valley for Ambient PM2.5 Monitoring H. Shrestha et al.
290. Deep Learning in Airborne Particulate Matter Sensing and Surface Plasmon Resonance for Environmental Monitoring B. Chauhan et al.
291. Analysis of spatiotemporal PM2.5 concentration patterns in Changwon, Korea, using low-cost PM2.5 sensors B. Song et al.
292. Calibrating low-cost sensors using MERRA-2 reconstructed PM2.5 mass concentration as a proxy V. Malyan et al.
293. Air quality assessment in three East African cities using calibrated low-cost sensors with a focus on road-based hotspots A. Singh et al.
294. Low-Cost PM2.5 Sensor Performance Characteristics against Meteorological Influence in Sub-Saharan Africa: Evidence from the Air Sensor Evaluation and Training Facility for the West Africa Project J. Nimo et al.
295. Impact of Wildfire Smoke PM2.5 on Indoor Air Quality of Public Buildings on a University Campus R. Afroz et al.
296. Air Quality Impacts at an E‐Waste Site in Ghana Using Flexible, Moderate‐Cost and Quality‐Assured Measurements L. Kwarteng et al.
297. 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.
298. Seasonally optimized calibrations improve low-cost sensor performance: long-term field evaluation of PurpleAir sensors in urban and rural India M. Campmier et al.
299. Evaluation of calibration performance of a low-cost particulate matter sensor using collocated and distant NO2 K. Ko et al.
300. A comprehensive review on advancements in sensors for air pollution applications T. Seesaard et al.
301. A Comprehensive Review of Industrial Workshop Oil Mist Control Technology Based on Electrostatic Collection L. Liang et al.
302. Review of the Newly Developed, Mobile Optical Sensors for Real-Time Measurement of the Atmospheric Particulate Matter Concentration S. Molaie & P. Lino
303. Evaluating the Meteorological Effects on the Urban Form–Air Quality Relationship Using Mobile Monitoring Y. Tian et al.
304. Field and laboratory evaluation of PurpleAir low-cost aerosol sensors in monitoring indoor airborne particles S. Park et al.
305. Particulate matter monitoring and source apportionment inside and outside schools in a Global South metropolis V. Nwokorie et al.
306. Use of Low-Cost Air Quality Monitoring Devices for Assessment of Road Transport Related Emissions N. Celikkaya et al.
307. Comparative Study on the Use of Some Low-Cost Optical Particulate Sensors for Rapid Assessment of Local Air Quality Changes L. Bencs et al.
308. Using low-cost particle sensors in HVAC ducts V. Gentile et al.
309. AirMLP: A Multilayer Perceptron Neural Network for Temporal Correction of PM2.5 Values in Turin M. Casari et al.