COUPLING AIRCRAFT AND TIME SERIES UNMANNED AERIAL VEHICLE THERMAL INFRARED IMAGING WITH SIMULTANEOUS IN SITU RADON MONITORING REVEALS DYNAMICS OF GROUNDWATER DISCHARGE TO THE OCEAN

2017 ◽  
Author(s):  
Joseph J. Kennedy ◽  
◽  
Craig R. Glenn ◽  
Henrietta Dulai ◽  
Paul G. Lucey
2016 ◽  
Vol 4 (2) ◽  
pp. 136-145 ◽  
Author(s):  
Abdul Nishar ◽  
Steve Richards ◽  
Dan Breen ◽  
John Robertson ◽  
Barbara Breen

2018 ◽  
Vol 562 ◽  
pp. 281-289 ◽  
Author(s):  
Amaya I. Marruedo Arricibita ◽  
Stephen J. Dugdale ◽  
Stefan Krause ◽  
David M. Hannah ◽  
Jörg Lewandowski

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6488
Author(s):  
Kirim Lee ◽  
Jinhwan Park ◽  
Sejung Jung ◽  
Wonhee Lee

Existing studies on reducing urban heat island phenomenon and building temperature have been actively conducted; however, studies on investigating the warm roof phenomenon to in-crease the temperature of buildings are insufficient. A cool roof is required in a high-temperature region, while a warm roof is needed in a low-temperature or cold region. Therefore, a warm roof evaluation was conducted in this study using the roof color (black, blue, green, gray, and white), which is relatively easier to install and maintain compared to conventional insulation materials and double walls. A remote sensing method via an unmanned aerial vehicle (UAV)-mounted thermal infrared (TIR) camera was employed. For warm roof evaluation, the accuracy of the TIR camera was verified by comparing it with a laser thermometer, and the correlation between the surface temperature and the room temperature was also confirmed using Pearson correlation. The results showed significant surface temperature differences ranging from 8 °C to 28 °C between the black-colored roof and the other colored roofs and indoor temperature differences from 1 °C to 7 °C. Through this study, it was possible to know the most effective color for a warm roof according to the color differences. This study gave us an idea of which color would work best for a warm roof, as well as the temperature differences from other colors. We believe that the results of this study will be helpful in heating load research, providing an objective basis for determining whether a warm roof is applied.


2008 ◽  
pp. 347-359 ◽  
Author(s):  
David J. Schneider ◽  
James W. Vallance ◽  
Rick L. Wessels ◽  
Matthew Logan ◽  
Michael S. Ramsey

2019 ◽  
Vol 12 (11) ◽  
pp. 6113-6124 ◽  
Author(s):  
Fan Zhou ◽  
Shengda Pan ◽  
Wei Chen ◽  
Xunpeng Ni ◽  
Bowen An

Abstract. Air pollution from ship exhaust gas can be reduced by the establishment of emission control areas (ECAs). Efficient supervision of ship emissions is currently a major concern of maritime authorities. In this study, a measurement system for exhaust gas from ships based on an unmanned aerial vehicle (UAV) was designed and developed. Sensors were mounted on the UAV to measure the concentrations of SO2 and CO2 in order to calculate the fuel sulfur content (FSC) of ships. The Waigaoqiao port in the Yangtze River Delta, an ECA in China, was selected for monitoring compliance with FSC regulations. Unlike in situ or airborne measurements, the proposed measurement system could be used to determine the smoke plume at about 5 m from the funnel mouth of ships, thus providing a means for estimating the FSC of ships. In order to verify the accuracy of these measurements, fuel samples were collected at the same time and sent to the laboratory for chemical examination, and these two types of measurements were compared. After 23 comparative experiments, the results showed that, in general, the deviation of the estimated value for FSC was less than 0.03 % (m/m) at an FSC level ranging from 0.035 % (m/m) to 0.24 % (m/m). Hence, UAV measurements can be used for monitoring of ECAs for compliance with FSC regulations.


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