A LoRa-Based Air Quality Monitor on Unmanned Aerial Vehicle for Smart City

2018 ◽  
Author(s):  
Liang-Yu Chen ◽  
Hsiao-Shih Huang ◽  
Cheng-Ju Wu ◽  
Yi-Ting Tsai ◽  
Yue-Shan Chang
Keyword(s):  
Air Quality ◽  
Unmanned Aerial Vehicle ◽  
Smart City ◽  
Aerial Vehicle

Autonomous Monitoring of Air Quality Through an Unmanned Aerial Vehicle

2019 ◽  
pp. 146-157
Author(s):  
Víctor H. Andaluz ◽  
Fernando A. Chicaiza ◽  
Geovanny Cuzco ◽  
Christian P. Carvajal ◽  
Jessica S. Ortiz ◽  
...  
Keyword(s):  
Air Quality ◽  
Unmanned Aerial Vehicle ◽  
Aerial Vehicle

scholarly journals ESTIMATION OF PM<sub>2.5</sub> VERTICAL DISTRIBUTION USING CUSTOMIZED UAV AND MOBILE SENSORS IN BRGY. UP CAMPUS, DILIMAN, QUEZON CITY

2018 ◽  
Vol XLII-4/W9 ◽  
pp. 89-103 ◽  
Author(s):  
J. B. Babaan ◽  
J. P. Ballori ◽  
A. M. Tamondong ◽  
R. V. Ramos ◽  
P. M. Ostrea
Keyword(s):  
Air Quality ◽  
Wind Speed ◽  
Relative Humidity ◽  
Vertical Distribution ◽  
Unmanned Aerial Vehicle ◽  
Meteorological Parameters ◽  
Flying Height ◽  
Quezon City ◽  
Aerial Vehicle ◽  
The Vertical Distribution

<p><strong>Abstract.</strong> As the unmanned aerial vehicle (UAV) technology has gained popularity over the years, it has been introduced for air quality monitoring. This study demonstrates the feasibility of customized UAV with mobile monitoring devices as an effective, flexible, and alternative means to collect three-dimensional air pollutant concentration data. This also shows the vertical distribution of PM concentration and the relationship between the PM<sub>2.5</sub> vertical distribution and the meteorological parameters within 500<span class="thinspace"></span>m altitude on a single flight in UP Diliman, Quezon City. Measurement and mapping of the vertical distribution of particulate matter (PM)<sub>2.5</sub> concentration is demonstrated in this research using integrated air quality sensors and customized Unmanned Aerial Vehicle. The flight covers an area with a radius of 80 meters, following a cylindrical path with 40-meter interval vertically. The PM<sub>2.5</sub> concentration values are analyzed relative to the meteorological parameters including air speed, pressure, temperature, and relative humidity up to a 500<span class="thinspace"></span>meter-flying height in a single flight in Barangay UP Campus, UP Diliman, Quezon City. The study shows that generally, the PM<sub>2.5</sub> concentration decreases as the height increases with an exception in the 200&amp;ndash;280<span class="thinspace"></span>m above ground height interval due to a sudden change of atmospheric conditions at the time of the flight. Using correlation and regression analysis, the statistics shows that PM<sub>2.5</sub> concentration has a positive relationship with temperature and a negative relationship with relative humidity and wind speed. As relative humidity and wind speed increases, PM<sub>2.5</sub> decreases, while as temperature increases, PM<sub>2.5</sub> also increases.</p>

Internet of Things (IoT) for Monitoring Air Pollutants with an Unmanned Aerial Vehicle (UAV) in a Smart City

2018 ◽  
pp. 108-120 ◽  
Author(s):  
José-Isidro Hernández-Vega ◽  
Elda Reyes Varela ◽  
Natividad Hernández Romero ◽  
Carlos Hernández-Santos ◽  
Jonam Leonel Sánchez Cuevas ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Unmanned Aerial Vehicle ◽  
Smart City ◽  
Air Pollutants ◽  
Aerial Vehicle

Development of an unmanned aerial vehicle UAV for air quality measurement in urban areas

2014 ◽  
Author(s):  
Patrick Y. Haas ◽  
Christophe Balistreri ◽  
Piero Pontelandolfo ◽  
Gilles Triscone ◽  
Hasret Pekoz ◽  
...  
Keyword(s):  
Air Quality ◽  
Unmanned Aerial Vehicle ◽  
Urban Areas ◽  
Quality Measurement ◽  
Aerial Vehicle

scholarly journals A review on non-terrestrial wireless technologies for Smart City Internet of Things

2020 ◽  
Vol 16 (6) ◽  
pp. 155014772093682
Author(s):  
Aihua Wang ◽  
Peisen Wang ◽  
Xiaqing Miao ◽  
Xiangming Li ◽  
Neng Ye ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Unmanned Aerial Vehicle ◽  
Smart City ◽  
Route Planning ◽  
Dynamic Nature ◽  
Research Directions ◽  
Machine Type Communications ◽  
Comprehensive Survey ◽  
Aerial Vehicle ◽  
High Dynamic

Smart City Internet of Things will become a fundamental infrastructure to support massive machine-type communications between the widely deployed sensors serving big cities. Since there exists many location constraints for the existing terrestrial Internet of Things, the non-terrestrial Internet of Things sheds light on breaking these limits. Therefore, this article conducts a comprehensive survey on non-terrestrial Internet of Things technologies for Smart City, which is an important complement to terrestrial Internet of Things. We first present the application scenarios of Internet of Things and point out where the existing terrestrial Internet of Things cannot work perfectly. Two non-terrestrial Internet of Things technical proposals are then introduced, namely satellite Internet of Things and unmanned aerial vehicle Internet of Things. However, the focuses of these non-terrestrial Internet of Things are distinct, that is, the major problems of satellite and unmanned aerial vehicle Internet of Things are the high dynamic nature of channel and high maneuverability of unmanned aerial vehicles, respectively. The key technologies for satellite and unmanned aerial vehicle Internet of Things are then reviewed separately. Both physical and non-physical layer technologies are surveyed for satellite Internet of Things, and the route planning is mainly investigated for the unmanned aerial vehicle Internet of Things. Finally, we draw a conclusion and give some potential research directions of non-terrestrial Internet of Things.

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