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

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 In Situ Water Quality Measurements Using an Unmanned Aerial Vehicle (UAV) System

Water ◽  
2018 ◽  
Vol 10 (3) ◽  
pp. 264 ◽  
Author(s):  
◽  
◽  
◽  
Keyword(s):  
Water Quality ◽  
Open Source ◽  
Unmanned Aerial Vehicle ◽  
Quality Measurement ◽  
Quality Data ◽  
Homogeneous Distribution ◽  
Aerial Vehicle ◽  
Water Quality Measurement ◽  
Quality Measurements

An unmanned aerial vehicle-assisted water quality measurement system (UAMS) was developed for in situ surface water quality measurement. A custom-built hexacopter was equipped with an open-source electronic sensors platform to measure the temperature, electrical conductivity (EC), dissolved oxygen (DO), and pH of water. Electronic components of the system were coated with a water-resistant film, and the hexacopter was assembled with flotation equipment. The measurements were made at thirteen sampling waypoints within a 1.1 ha agricultural pond. Measurements made by an open-source multiprobe meter (OSMM) attached to the unmanned aerial vehicle (UAV) were compared to the measurements made by a commercial multiprobe meter (CMM). Percent differences between the OSMM and CMM measurements for DO, EC, pH, and temperature were 2.1 %, 3.43 %, 3.76 %, and <1.0 %, respectively. The collected water quality data was used to interpret the spatial distribution of measurements in the pond. The UAMS successfully made semiautonomous in situ water quality measurements from predetermined waypoints. Water quality maps showed homogeneous distribution of measured constituents across the pond. The concept presented in this paper can be applied to the monitoring of water quality in larger surface waterbodies.

scholarly journals Using unmanned aerial vehicle and volunteered geographic information to sophisticate urban flood modelling

2020 ◽  
Author(s):  
Yuan-Fong Su ◽  
Yan-Ting Lin ◽  
Jiun-Huei Jang ◽  
Jen-Yu Han
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Urban Areas ◽  
Flash Flood ◽  
Volunteered Geographic Information ◽  
Geographic Information ◽  
Model Verification ◽  
Loss Assessment ◽  
Flood Simulation ◽  
Urban Flood ◽  
Aerial Vehicle

Abstract. Sophisticated flood simulation in urban areas is a challenging task due to the difficulties in data acquisition and model verification. This study incorporates three rapid-growing technologies, i.e. volunteered geographic information (VGI), unmanned aerial vehicle (UAV), and computational flood simulation (CFS) to reconstruct the flash flood event occurred in 14 June 2015, GongGuan, Taipei. The high-resolution digital elevation model (DEM) generated by a UAV and the real-time VGI photos acquired from social network are served to establish and validate the CFS model, respectively. The DEM data are resampled based on two grid sizes to evaluate the influence of terrain resolution on flood simulations. The results show that flood scenario can be more accurately modelled as DEM resolution increases with better agreement between simulation and observation in terms of flood occurrence time and water depth. The incorporation of UAV and VGI lower the barrier of sophisticated CFS and shows great potential in flood impact and loss assessment in urban areas.

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>

scholarly journals Multirotor for Medical Aid Kit Transport

2019 ◽  
Vol 9 (2) ◽  
pp. 3314-3318 ◽  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Release Mechanism ◽  
Aerial Robotics ◽  
Flight Tests ◽  
Medical Aid ◽  
Remote Areas ◽  
Medical Needs ◽  
Aerial Vehicle

The popularity of the multirotor or unmanned aerial vehicle (UAV) is rapidly growing in the field of aerial robotics. In fact, multirotor has now become a standard platform for robotics research worldwide and it has been increasingly used for various constructive purposes across several sectors. Traffic congestion in urban areas has caused a longer time to deliver medical aid kits to the accident sites. Many patients in remote areas with limited road access will need to travel further and consequently take a longer time to reach healthcare centers for their medical needs. In view of this situation, medical drones have the potential to resolve these problems. However, Malaysia has limited regulations and studies regarding the transportation of medical aid kits using multirotors. This study is conducted to develop a multirotor for deployment of medical aid kits. The proposed multirotor is a hexarotor, equipped with Pixhawk flight controller and payload release mechanism, known as NAMTOR 3. From the preliminary flight tests to assess the performance of NAMTOR 3, it has been found that NAMTOR 3 is stable during flight and ready for deployment.

scholarly journals Spatial ETL for 3D Building Modelling Based on Unmanned Aerial Vehicle Data in Semi-Urban Areas

2020 ◽  
Vol 12 (12) ◽  
pp. 1972 ◽  
Author(s):  
Urška Drešček ◽  
Mojca Kosmatin Fras ◽  
Jernej Tekavec ◽  
Anka Lisec
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Spatial Data ◽  
Urban Areas ◽  
Point Cloud ◽  
Process Model ◽  
Laser Scanning ◽  
3D City Models ◽  
Aerial Vehicle ◽  
Spatial Etl ◽  
City Models

This paper provides the innovative approach of using a spatial extract, transform, load (ETL) solution for 3D building modelling, based on an unmanned aerial vehicle (UAV) photogrammetric point cloud. The main objective of the paper is to present the holistic workflow for 3D building modelling, emphasising the benefits of using spatial ETL solutions for this purpose. Namely, despite the increasing demands for 3D city models and their geospatial applications, the generation of 3D city models is still challenging in the geospatial domain. Advanced geospatial technologies provide various possibilities for the mass acquisition of geospatial data that is further used for 3D city modelling, but there is a huge difference in the cost and quality of input data. While aerial photogrammetry and airborne laser scanning involve high costs, UAV photogrammetry has brought new opportunities, including for small and medium-sized companies, by providing a more flexible and low-cost source of spatial data for 3D modelling. In our data-driven approach, we use a spatial ETL solution to reconstruct a 3D building model from a dense image matching point cloud which was obtained beforehand from UAV imagery. The results are 3D building models in a semantic vector format consistent with the OGC CityGML standard, Level of Detail 2 (LOD2). The approach has been tested on selected buildings in a simple semi-urban area. We conclude that spatial ETL solutions can be efficiently used for 3D building modelling from UAV data, where the data process model developed allows the developer to easily control and manipulate each processing step.

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