scholarly journals A Multipollutant Smoke Emissions Sensing and Sampling Instrument Package for Unmanned Aircraft Systems: Development and Testing

Fire ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 32 ◽  
Author(s):  
Kellen Nelson ◽  
Jayne Boehmler ◽  
Andrey Khlystov ◽  
Hans Moosmüller ◽  
Vera Samburova ◽  
...  

Poor air quality arising from prescribed and wildfire smoke emissions poses threats to human health and therefore must be taken into account for the planning and implementation of prescribed burns for reducing contemporary fuel loading and other management goals. To better understand how smoke properties vary as a function of fuel beds and environmental conditions, we developed and tested a compact portable instrument package that integrates direct air sampling with air quality and meteorology sensing, suitable for in situ data collection within burn units and as a payload on multi-rotor small unmanned aircraft systems (sUASs). Co-located sensors collect carbon dioxide, carbon monoxide, and particulate matter data at a sampling rate of ~0.5 Hz with a microcontroller-based system that includes independent data logging, power systems, radio telemetry, and global positioning system data. Sensor data facilitates precise remote canister collection of air samples suitable for laboratory analysis of volatile organic compounds (VOCs) and other major and trace gases. Instrument package specifications are compatible with common protocols for ground-based and airborne measurements. We present and discuss design specifications for the system and preliminary data collected in controlled burns at Tall Timbers Research Station, FL, USA and Sycan Marsh Preserve, OR, USA.

Author(s):  
Stephanie Eckman ◽  
Joe Eyerman ◽  
Dorota Temple

Unmanned aircraft systems (UAS), or drones, will disrupt many industries in the next 5 to 10 years. In this research brief, we speculate about how UAS could be used in survey data collection to make survey data more accurate and/or less costly. We put forth three ideas for how UAS can be used to improve surveys in the future to (1) supplement survey data with UAS photo and sensor data; (2) deliver survey hardware to selected respondents, and (3) detect and enumerate housing units for sample selection.


2011 ◽  
Vol 42 (6) ◽  
pp. 801-815 ◽  
Author(s):  
Boris Sergeevich Alyoshin ◽  
Valeriy Leonidovich Sukhanov ◽  
Vladimir Mikhaylovich Shibaev

2021 ◽  
Author(s):  
Krishna Muvva ◽  
Justin M. Bradley ◽  
Marilyn Wolf ◽  
Taylor Johnson

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