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Author(s):  
D. Cesar ◽  
A. Anakru ◽  
S. Carbajo ◽  
J. Duris ◽  
P. Franz ◽  
...  

2021 ◽  
Author(s):  
Dinh Nguyen ◽  
Petr Anisimov ◽  
Nicole Neveu

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6294
Author(s):  
Fan Mei ◽  
Gavin McMeeking ◽  
Mikhail Pekour ◽  
Ru-Shan Gao ◽  
Gourihar Kulkarni ◽  
...  

Accurate representation of atmospheric aerosol properties is a long-standing problem in atmospheric research. Modern pilotless aerial systems provide a new platform for atmospheric in situ measurement. However, small airborne platforms require miniaturized instrumentation due to apparent size, power, and weight limitations. A Portable Optical Particle Spectrometer (POPS) is an emerged instrument to measure ambient aerosol size distribution with high time and size resolution, designed for deployment on a small unmanned aerial system (UAS) or tethered balloon system (TBS) platforms. This study evaluates the performance of a POPS with an upgraded laser heater and additional temperature sensors in the aerosol pathway. POPS maintains its performance under different environmental conditions as long as the laser temperature remains above 25 °C and the aerosol flow temperature inside the optical chamber is 15 °C higher than the ambient temperature. The comparison between POPS and an Ultra-High Sensitivity Aerosol Spectrometer (UHSAS) suggests that the coincidence error is less than 25% when the number concentration is less than 4000 cm−3. The size distributions measured by both of them remained unaffected up to 15,000 cm−3. While both instruments’ sizing accuracy is affected by the aerosol chemical composition and morphology, the influence is more profound on the POPS.


2020 ◽  
Vol 124 (13) ◽  
Author(s):  
Jingyi Tang ◽  
Randy Lemons ◽  
Wei Liu ◽  
Sharon Vetter ◽  
Timothy Maxwell ◽  
...  

Author(s):  
Jingyi Tang ◽  
Wei Liu ◽  
Randy Lemons ◽  
Sharon Vetter ◽  
Timothy Maxwell ◽  
...  

2018 ◽  
Vol 73 (8) ◽  
pp. 1131-1136
Author(s):  
Juho Hong ◽  
Jang-Hui Han ◽  
Changbum Kim ◽  
Dongchul Shin

Author(s):  
Nikolas Liebster ◽  
Jingyi Tang ◽  
Daniel Ratner ◽  
Wei Liu ◽  
Sharon Vetter ◽  
...  

Author(s):  
Nikolas Liebster ◽  
Jingyi Tang ◽  
Zhirong Huang ◽  
Daniel Ratner ◽  
Wei Liu ◽  
...  

Author(s):  
Lutz Winkelmann ◽  
Bastian Schulz ◽  
Christian Mohr ◽  
Hongwei Chu ◽  
Chen Li ◽  
...  

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