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http://dx.doi.org/10.11108/kagis.2020.23.3.085

Analysis of Precision of Interpolation of Reservoir bed Through Comparison of Data Acquired by Using UAV and Echo Sounder  

Roh, Tae-Ho (Division of DRONE Civil Engineering, University of GyeongNam Geochang)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.23, no.3, 2020 , pp. 85-99 More about this Journal
Abstract
Reservoir is an important infrastructure of our society because it can store immense amount of water for various usages - manufacturing, agriculture, drinking, power generation, tourism etc. For maintenance of reservoir, various efforts in administrative and technological aspects are periodically conducted and monitoring the conditions of reservoir bed is the first priority for maintenance of reservoir. To check the conditions of reservoir bed, we measured depth of reservoir by using echo sounder, which is relatively reliable, prior to discharging of stored water and surveyed topography of reservoir by using UAV after discharging of water. Then, we conducted interpolation of measured depth of water by means of inverse distance weighting interpolation, Kriging interpolation, minimum curvature interpolation and radial basis function interpolation and calculated the volume of reservoir for each interpolation method. We compared the calculated volume of reservoir with the volume of water calculated by UAV after discharging of water and found the following results: First, as results of the above processes, we found that the Kriging interpolation was 97% correct in measurement of the volume of reservoir. Second, as results of comparison of differences between topographical areas and interpolated areas after selection of cross section for comparison, Kriging interpolation was found to have the most similar configuration with the topographical configuration by showing the least difference in the area of cross section. Therefore, it is determined that the optimal modeling of reservoir bed with the water depth data measured by echo sounder shall provide basic information for efficient maintenance of reservoir.
Keywords
UAV; Echo Sounder; Reservoir bed; Spatial Interpolation; Accuracy;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Kim, G.Y., D.J. Seo and D.Y. Moon. 2006. An analysis of accuracy submarine topographic information by interpolation method. Journal of the Korean Society of Ocean Engineers 20(3):67-76.
2 Lee, G.S., Y.W. Choi and N.I. Choi. 2012. Spatial interpolation method for the river channela reconstruction. Journal of the Korean Cadastreinformation Association 12(2):71-80.
3 Lee, H.S. 2010. Comparison and evaluation of root mean square for parameter settings of spatial interpolation method. Journal of the Korean Association of Geographic Information Studies 13(3):29-41.   DOI
4 Lee, K.W., H.W. Shon and D.I. Kim. 2016. Drone remote sensing photogrammetry. Goomibook Publishing Co., Seoul, 349pp.
5 Li, J. and A.D. Heap. 2011. A review of comparative studies of spatial interpolation methods in enviromental sciences : performance and impact factors. Ecological Informatics 6(3-4):228-241.   DOI
6 Ministry for Food, Forestry and fisheries & korea rural community corporation. 2019. https://www.ekr.or.kr/(한국농어촌공사, 2019).
7 Mun, H.S., B.G. Song, K.J. Seo, T.H. Kim and K.H. Park. 2020. Analysis of $PM_{2.5}$ distribution construction using GIS spatial interpolation. Journal of the Korean Association of Geographic Information Studies 23(2):1-20.   DOI
8 Park, J.C. and M.K. Kim. 2013. Comparison of precipitation distrution in precipitation data sets representing 1km spatial resolution over south korea produced by PRISM, IDW and cokriging. Journal of the Korean Association of Geographic Information Studies 16(3):147-163.   DOI
9 Park, W.Y., C.H. Kim and H.Y. Lee. 2001. A study on the earthwork volume computation and topographic analysis using DTM Interpolations. Journal of the Korean Society for Geospatial Information Science 9(1):39-47.
10 Schloeder, C.A., N. E. Zimmerman and M.J. Jacobs. 2001. Comparison of methods for interpolating soil properties using limited data. Soil Science Society of America Journal 65(2):470-479.   DOI
11 Seo, J.H., D.J. Seo and J.C. Lee. 2002. Calculation of reservoir capacity by combination of GPS and echo Sounder. Journal of the Korea spatial information society 10(1):27-35.
12 Woo, J.Y., J.H. Koo, C.H. Hong and T.H. Kim. 2001. A study on the interpolation methods and size of grid to the various topographical characteristics for the construction of DEM(Digital Elevation Model). Journal of the Korean Society for Geospatial Information Science 3(2):5-19.
13 Cho, K.J., Y.H. Cho and E.W. Chung. 1998. A study on production and accuracy analysis of grid digital elevation models. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography 20(4):375-381.
14 Ahn, J.M. and I.H. Park. 2012. An assessment on the hydraulic characteristics of a multi-dimensional model in response to measurement resolution and spatial interpolation methods. Journal of the Korean Society for Geospatial Information Science 20(1):43-51.   DOI
15 Cho, H.L. and J.C. Jeong. 2006. Application of spatial interpolation to rainfall data. Journal of the Korean Society for Geospatial Information Science 14(1):29-41.
16 Cho, H.L. and J.C. Jeong. 2007. Mapping of enviromental data using spatial interpolation methods. Proceedings of the Conference of the Korean Society for Geospatial Information Science. pp.273-279.
17 Choi, N.I. 2009. GIS based spatial interpolation method for the reconstruction of river channel. Ph.D. Thesis, Univ. of Jeonbuk, Jeollabuk-do, Korea. 101pp.
18 Department of geography and environmental science. 2020. http://www.geography.hunter.cuny.edu. (Accessed september 9, 2019)
19 Environmental Systems Research Institute. 2020. https://www.esri.com. (Accessed september 15, 2019)
20 Gotway, C.A., B. F. Richard, G. W. Hergert and A.P. Todd. 1996. Comparison of kriging and inverse-distance methods for mapping soil parameters. Soil Science Society of America Journal 60(4):1237-1247.   DOI
21 Jung, S.H. 2015. Accuracy analysis of seabed terrain modeling technology. Ph.M. Thesis, Univ. of Seoul, Seoul, Korea. 86pp.
22 Jung, W.S. 2017. Development of geometric geoid model using GPS/leveling data. Ph.D. Thesis, Univ. of Inha, Incheon Metropolitan City, Korea. 100pp.