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2024 Vol.51, Issue 2 Preview Page

Engineering

A survey on the application of ICTs in automated water level gauges for agricultural reservoirs
Min-Gi Jeon1
,
Jin-Taek Kim2
,
Won-Ho Nam3*
1Department of Convergence of Information and Communication Engineering, Hankyong National University, Anseong 17579, Korea
2National Agricultural Water Research Center, Hankyong National University, Anseong 17579, Korea
3School of Social Safety and Systems Engineering, Institute of Agricultural Environmental Science, National Agricultural Water Research Center, Hankyong National University, Anseong 17579, Korea
*Corresponding Author
1 June 2024. pp. 217-225
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Abstract

Timely and appropriate water supply to paddy fields is crucial for efficient agricultural water management. In South Korea, 17,240 agricultural reservoirs supply approximately 60% of the agricultural water and play a pivotal role in irrigation and drought mitigation. These reservoirs are managed by the Korea Rural Community Corporation (KRC), which oversees 3,411 reservoirs, and various local governments, which manage 13,829 locations. Guidelines from the Ministry of Agriculture, Food and Rural Affairs (MAFRA) mandate the installation and operation of water level measurement instruments. Currently, automated water level facilities are installed in 1,734 reservoirs and 1,880 irrigation canals, generating water level data at ten-minute intervals. In this study, a survey was conducted to enhance the management of agricultural reservoirs by integrating advanced information and communications technology (ICT) into existing automated water level gauge systems. We propose directions for enhancing the automated water level gauges in agricultural reservoirs. The findings would provide foundational data for stable and systematic management of these gauges.

Keywords
agricultural reservoir
automatic water level measuring device
information and communications technology (ICT)
smart water management
water level
References
1

Ahn SS, Jeong SD, Lee JS, Yoon KD, Chang IS. 2002. A study on the determination of water storage-supply capacity of agricultural reservoir. Journal of Environmental Science International 11:1217-1226. [in Korean]

10.5322/JES.2002.11.12.1217
2

Heo J, Bong TH, Kim SP, Jun SM. 2022. Assessment of flood vulnerability for small reservoir according to climate change scenario-reservoir in Gyeonggi-do. Journal of the Korean Society of Agricultural Engineers 64:53-65. [in Korean]

10.5389/KSAE.2022.64.5.053
3

Hong EM, Nam WH, Choi JY, Kim JT. 2014. Evaluation of water supply adequacy using real-time water level monitoring system in paddy irrigation canals. Journal of the Korean Society of Agricultural Engineers 56:1-8. [in Korean]

10.5389/KSAE.2014.56.4.001
4

Jeon MG, Nam WH, Hong EM, Hwang S, Ok J, Cho H, Han KH, Jung KH, Zhang YS, Hong SY. 2019. Comparison of reference evapotranspiration estimation methods with limited data in South Korea. Korean Journal of Agricultural Science 46:137-149. [in Korean]

10.7744/kjoas.20190004
5

Kang H, An H, Nam WH, Lee K. 2019. Estimation of agricultural reservoir water storage based on empirical method. Journal of the Korean Society of Agricultural Engineers 61:1-10. [in Korean]

10.5389/KSAE.2019.61.5.001
6

Kim HD, Kim JT, Nam WH, Kim SH, Choi JY, Koh BS. 2016. Irrigation canal network flow analysis by a hydraulic model. Irrigation and Drainage 65:57-65.

10.1002/ird.1992
7

Kim J, Kwak J, Hwang S, Jun SM, Lee S, Lee JN, Kang MS. 2021. Analysis of flood control capacity of agricultural reservoir based on SSP climate change scenario. Korean Society of Agricultural Engineers 63:49-62. [in Korean]

10.5389/KSAE.2021.63.5.049
8

Kwak J, Kim J, Lee H, Lee J, Cho J, Kang MS. 2023. An integrated flood simulation system for upstream and downstream of the agricultural reservoir watershed. Journal of the Korean Society of Agricultural Engineers 65:41-49. [in Korean]

10.5389/KSAE.2023.65.1.041
9

MAFRA (Ministry of Agriculture, Food and Rural Affairs), KRC (Korea Rural Community Corporation). 2020. Statistical yearbook of land and water development for agriculture, Ansan, Korea. MAFRA and KRC, Naju, Korea. [in Korean]

10

Mun YS, Nam WH, Woo SB, Lee HJ, Yang MH, Lee JS, Ha TH. 2022. Improvement of drought operation criteria in agricultural reservoirs. Journal of the Korean Society of Agricultural Engineers 64:11-20. [in Korean]

10.5389/KSAE.2022.64.4.011
11

Nam WH, Choi JY, Choi SG, Jang MW, Lee NH, Ko KD. 2011. A survey on irrigation timing and water saving strategies of agricultural reservoirs. Journal of Korea National Committee on Irrigation and Drainage 18:81-93. [in Korean]

12

Nam WH, Choi JY. 2014. Development of an irrigation vulnerability assessment model in agricultural reservoirs utilizing probability theory and reliability analysis. Agricultural Water Management 142:115-126.

10.1016/j.agwat.2014.05.009
13

Nam WH, Hong EM, Choi JY. 2016. Assessment of water delivery efficiency in irrigation canals using performance indicators. Irrigation Science 34:129-143.

10.1007/s00271-016-0488-6
14

Nam WH, Kim T, Hong EM, Choi JY, Kim JT. 2017. A Wireless Sensor Network (WSN) application for irrigation facilities management based on information and communication technologies (ICTs). Computers and Electronics in Agriculture 143:185-192.

10.1016/j.compag.2017.10.007
15

Noh SJ, Lee G, Kim B, Jo J, Woo DK. 2023. Climate change impact analysis on water supply reliability and flood risk using combined rainfall-runoff and reservoir operation modeling: Hapcheon-Dam catchment case. Journal of Korea Water Resources Association 56:765-774. [in Korean]

10.3741/JKWRA.2023.56.11.765
16

Shin JH, Nam WH, Kim HY, Mun YS, Bang NK, Lee JC, Lee KY. 2021. Agricultural drought assessment and diagnosis based on spatiotemporal water supply in irrigated area. Journal of the Korean Society of Agricultural Engineers 63:1-12. [in Korean]

10.5389/KSAE.2021.63.4.001
17

Shin JH, Nam WH, Yoon DH, Yang MH, Jung IK, Lee KY. 2023. Estimating the return flow of irrigation water for paddies using hydrology-hydraulic modeling. Journal of the Korean Society of Agricultural Engineers 65:1-13. [in Korean]

10.5389/KSAE.2023.65.6.001
18

Yang MH, Nam WH, Kim HJ, Kim T, Shin AK, Kang MS. 2021. Anomaly detection in reservoir water level data using the LSTM model based on deep learning. Journal of the Korean Society of Hazard Mitigation 21:71-81. [in Korean]

10.9798/KOSHAM.2021.21.1.71
Information
  • Publisher :Institute of Agricultural Science, Chungnam National University
  • Publisher(Ko) :충남대학교 농업과학연구소
  • Journal Title :Korean Journal of Agricultural Science
  • Journal Title(Ko) :농업과학연구
  • Volume : 51
  • No :2
  • Pages :217-225
  • Received Date : 2023-11-22
  • Revised Date : 2024-04-15
  • Accepted Date : 2024-05-22
  • DOI :https://doi.org/10.7744/kjoas.510212
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