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DOI : 10.17640/KSWST.2020.28.5.43 , Vol.28, No.5, 43 ~ 53, 2020
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| Title |
| Spatial Analysis and Visualization of Chlorophyll-a and Water Depth in River using Unmanned Surface Vehicle(USV) |
| 김은주 Eunju Kim , 황태문 Tae-mun Hwang , 구재욱 Jaewuk Koo , 이새로미 Saromi Lee , 남숙현 Sookhyun Nam |
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| Abstract |
| This study is to develop Unmanned surface vehicle (USV) and apply it to rivers to analyze and visualize the space of chlorophyll-a and water depth. The results of the study showed that the chlorophyll-a and the depth of the water in the 2.31×10-1 ㎢ of the N stream were successful. Data obtained from USV is stored in vast amounts in real time and must be converted and extracted into data that can be utilized through preprocessing programs. In this study, a preprocessing program using the exploratory data analysis (EDA) was implemented and used for converting and extracting data. The chlorophyll-a distribution divided the range based on the domestic water quality environment. As a result, 2.6% of Type Ia (chlorophyll-a 5 mg/㎥ or less), 9.9% of Type Ib (chlorophyll-a 9 mg/㎥ or less), 19.1% of Type II (chlorophyll-a 14 mg/㎥) and 27.9% of Type III (chlorophyll-a 20 mg/㎥ or below) and 27.9% of Type IV (chlorophyll- 35 mg/㎥ or below). Analysis of the water depth distribution showed that 15.8% were below 1m, 14.5% below 2 m, 16.4 percent below 3 m, 34.1% below 4 m, and 19.2% below 5 m. The results of spatial visualization by USV operation were successful. It demonstrated the potential for commercialization of remote monitoring technology development using USV in the future. |
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| Key Words |
| Chlorophyll-a, Unmanned Surface Vehicle, Spatial Analysis, Spatial Visualization, Water Quality Monitoring, 공간분석, 공간시각화, 무인선, 수질모니터링, 클로로필-a |
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