Korean Journal of Agricultural Science (Korean J. Agric. Sci.; KJOAS)
Indexed in KCI (Korea Citation Index), Open Access, Peer Reviewed.
pISSN 2466-2402
eISSN 2466-2410
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Choi M, Song I, Lim H, Kang H, An H. 2024. Estimating the rating curve of irrigation canals in the Cheongju Sindae area. Korean Journal of Agricultural Science 51:79-86.
Korean Journal of Agricultural Science (Korean J. Agric. Sci.) 2024 March, Volume 51, Issue 1, pages 79-86. https://doi.org/10.7744/kjoas.510107
Received on 03 November 2023, Revised on 08 December 2023, Accepted on 27 December 2023, Published on 1 March 2024.
Mikyoung Choi1, Inhyeok Song2, Heesung Lim3, Hansol Kang2, Hyunuk An2,*
1Division for Integrated Water Management, Korea Environment Institute, Sejong 30147, Korea
2Department of Agricultural and Rural Engineering, Chungnam National University, Daejeon 34134, Korea
3Rural Research Institute or Agricultural and Fisheries Research Institute, Korea Rural Community Corporation, Naju 58327, Korea
*Corresponding author: hyunuk@cnu.ac.kr
As the frequency and intensity of heavy rains increase, the vulnerability of agriculture to disasters also increases. Consequently, there is a need to improve flood and inundation predictions. To enhance the accuracy of inundation predictions, it is essential to monitor water level and discharge data within agricultural areas. This study was conducted to monitor water levels and rainfall in the Cheongju Sindae area from 2022 to 2023, and the data was utilized as input and validation data for agricultural inundation modeling. Four irrigation drainage canals were installed to a square-shaped concrete structure where the water level gauge is. It was then confirmed that the water level rises with rainfall. The flow velocities were monitored during periods of heavy rainfall. The rating curve, which estimates water level and flow velocity based on observations, was estimated using the software K-HQ. The resulting curve was presented with the Coefficient of Determination (R2). K-HQ was also used to calculate the equation for the rating curve, taking outliers into account at each data point. Outliers were extracted and the rating curve was recalculated. As the coefficient of determination of three out of four stations exceeded 0.95, the estimated rating curve may be considered reliable for discharge estimation. This study provides critical data for enhancing agricultural inundation modeling accuracy and drainage improvement projects.
discharge, irrigation drainage canal, K-HQ, rating curve, water level
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Mikyoung Choi, https://orcid.org/0000-0003-3199-1794
Inhyeok Song, https://orcid.org/0009-0006-0703-7756
Heesung Lim, https://orcid.org/0000-0002-1922-3680
Hansol Kang, https://orcid.org/0000-0001-5037-9723
Hyunuk An, https://orcid.org/0000-0002-4566-5159
본 연구는 농림축산식품부의 재원으로 농림식품기술기획평가원의 농업기반 및 재해대응기술 개발사업(321071-3)의 지원으로 수행되었습니다.
No potential conflict of interest relevant to this article was reported.