| Title |
Two-dimensional Spatial Distribution Analysis Using Water Quality Measurement Results at River Junctions |
| Authors |
이창현(Lee, Chang Hyun) ; 박재곤(Park, Jae Gon) ; 김경동(Kim, Kyung Dong) ; 류시완(Ryu, Si Wan) ; 김동수(Kim, Dong Su) ; 김영도(Kim, Young Do) |
| DOI |
https://doi.org/10.12652/Ksce.2022.42.3.0343 |
| Keywords |
모니터링; 하천분석; 공간보간; Kriging기법 Kriging technique; Monitoring; River analysis; Spatial interpolation |
| Abstract |
High-resolution data are needed to understand water body mixing patterns at river junctions. In particular, in river analysis, hydrological and waterquality characteristics are used as basic data for aquatic ecological health, so observation through continuous monitoring is necessary. In addition, since measurement is carried out through a one-dimensional and fixed measurement method in existing monitoring systems, a hydrological andwater quality characteristics investigation of an entire river, except for in the immediate vicinity of the measurement point, is not undertaken. In order to obtain high-resolution measurement data, a measurer has to consider multiple factors, and the area or time that can be measured is limited. Although the resolution might be lowered, an appropriate interpolation method must be selected in order to acquire a wide range of data. Therefore, in this study, a high-elevation measurement method at a river junction was introduced, and the interpolation method according to themeasurement results was compared. The overall hydraulic and water quality information of the river was indicated through the visualization of the prediction and interpolation method in the low-resolution measurement result. By comparing each interpolation method, Inverse Distance Weighting, Natural Neighbor, and Kriging techniques were applied in river mapping to improve the precision of river mapping through visualized data and quantitative evaluation. It is thought that this study will offer a new method for measuring rivers through spatial interpolation. |