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http://dx.doi.org/10.11108/kagis.2019.22.2.001

Monitoring of non-point Pollutant Sources: Management Status and Load Change of Composting in a Rural Area based on UAV  

PARK, Geon-Ung (Dept. of FEED of Eco-Friendly Offshore structure, Changwon National University)
PARK, Kyung-Hun (School of Civil, Environmental and Chemical Engineering, Changwon National University)
MOON, Byung-Hyun (School of Civil, Environmental and Chemical Engineering, Changwon National University)
SONG, Bong-Geun (Industrial Technology Research Institute, Changwon National University)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.22, no.2, 2019 , pp. 1-14 More about this Journal
Abstract
In rural areas, composting is a source of non-point pollutants. However, as the quantitative distribution and loading have not been estimated, it is difficult to determine the effect of composting on stream water quality. In this study, composting datum acquired by unmanned aerial vehicle(UAV) was verified by using terrestrial LiDAR, and the management status and load change of the composting was investigated by UAV with manual control flight, thereby obtaining the basic data to determine the effect on the water system. As a result of the comparative accuracy assessment based on terrestrial LiDAR, the difference in the digital surface model(DSM) was within 0.21m and the accuracy of the volume was 93.24%. We expect that the accuracy is sufficient to calculate and utilize the composting load acquired by UAV. Thus, the management status of composting can be investigated by UAV. As the total load change of composting were determined to be $1,172.16m^3$, $1,461.66m^3$, and $1,350.53m^3$, respectively, the load change of composting could be confirmed. We expect that the results of this study can contribute to efficient management of non-point source pollution by UAV.
Keywords
Composting; Unmanned Aerial Vehicle; Terrestrial LiDAR; Digital Surface Model; Manual Control Flight;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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