Abstract
In South Korea, performance of irrigation systems can be improved through hardware changes, such as canal linings and the installation of control structures, as well as through operational improvements, such as proper and timely operation, and improved communication between water supply agencies and water users. Improving irrigation water delivery performance through canal networks is one of the most economically essential options in meeting growing water demands and sustaining the productivity of irrigated agriculture. In this study, for the purpose of evaluating the efficient use of water resources in agricultural productions and operations, we analyzed the distribution of amount of water for each irrigated area and irrigation efficiency using a hydraulic-hydrological model, EPA-SWMM (United States Environmental Protection Agency Storm Water Management Model). In addition, we assessed agricultural water supply and water supply vulnerability using irrigation efficiency indicators. As a result of the agricultural water distribution simulation, the canals located in the upstream showed a high irrigation efficiency of more than 60%, and the canals located in the downstream showed a low irrigation efficiency of less than 50%. Based on the results, the critical areas can be successfully identified where water is scarce in the irrigation area and monitoring the spatio-temporal agricultural water distribution can be more effectively realized.
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References
Bang NK, Nam WH, Shin JH, Kim HJ, Kang K, Baek SC, Lee KY (2020) Water balance analysis of pumped-storage reservoir during non-irrigation period for recurrent irrigation water management. J Korean Soc Agric Eng 62(4):1–12. https://doi.org/10.5389/KSAE.2020.62.4.001
Biemans H, Haddeland I, Kabat P, Ludwig F, Hutjes RWA, Heinke J, von Bloh W, Gerten D (2011) Impact of reservoirs on river discharge and irrigation water supply during the 20th century. Water Resour Res 47(3):W03509. https://doi.org/10.1029/2009WR008929
Choi SJ, Kang SK, Lee DR, Kang SU (2018) Evaluation on the water supply stability of Nakdong river basin based on future scenarios. J Korea Water Resour Assoc 51:1105–1115
Hong EM, Choi JY, Nam WH, Lee SH, Choi JK, Kim JT (2015) Analysis of water loss rate and irrigation efficiency in irrigation canal at the Dong-Jin district. J Korean Soc Agric Eng 57(2):93–101. https://doi.org/10.5389/KSAE.2015.57.2.093
Hong EM, Choi JY, Nam WH, Kim JT (2016) Decision support system for the real-time operation and management of an agricultural water supply. Irrig Drain 65:197–209. https://doi.org/10.1002/ird.1935
Huang S, Zhang X, Chen N, Li B, Ma H, Xu L, Li R, Niyogi D (2021) Drought propagation modification after the construction of the Three Gorges Dam in the Yangtze River Basin. J Hydrol 603:127138. https://doi.org/10.1016/j.jhydrol.2021.127138
Irmak S (2015) Interannual variation in long-term center pivot-irrigated maize evapotranspiration and various water productivity response indices. I: grain yield, actual and basal evapotranspiration, irrigation-yield production functions, evapotranspiration-yield production functions, and yield response factors. J Irrig Drain Eng 141(5):1–17. https://doi.org/10.1061/(ASCE)IR.1943-4774.0000825
Irmak S, Odhiambo LO, Kranz WL, Eisenhauer DE (2011) Irrigation efficiency and uniformity, and crop water use efficiency. Biological Systems Engineering: Papers and Publications EC723. https://digitalcommons.unl.edu/biosysengfacpub/451
Kim HD, Kim JT, Nam WH, Kim SJ, Choi JY, Koh BS (2016) Irrigation canal network flow analysis by a hydraulic model. Irrig Drain 65:57–65. https://doi.org/10.1002/ird.1992
Kim JU, Lee JW, Kim SJ (2019) Evaluation of the future agricultural drought severity of South Korea by using reservoir drought index (RDI) and climate change scenarios. J Korea Water Resour Assoc 52(6):381–395. https://doi.org/10.3741/JKWRA.2019.52.6.381
Koo YM, Seo DI (2017) Parameter estimations to improve urban planning area runoff prediction accuracy using Storm Water Management Model (SWMM). J Korea Water Resour Assoc 50(5):303–313. https://doi.org/10.3741/JKWRA.2017.50.5.303
Kumar R, Singh J (2003) Regional water management modeling for decision support in irrigated agriculture. J Irrig Drain Eng 129:432–439. https://doi.org/10.1061/(ASCE)0733-9437(2003)129:6(432)
Ministry of Agriculture and Forestry (MAF) (1998) Design criteria of land and water development plan for agriculture: Irrigation. Sejong, Korea
Molden DJ, Gates TK (1990) Performance measures for evaluation of irrigation-water-delivery systems. J Irrig Drain Eng 116:804–823. https://doi.org/10.1061/(ASCE)0733-9437(1990)116:6(804)
Mun YS, Nam WH, Jeon MG, Bang NK, Kim TG (2020) Assessment of vulnerability to drought disaster in agricultural reservoirs in South Korea. Atmosphere 11:1244. https://doi.org/10.3390/atmos11111244
Mustapha A, Aris AZ, Juahir H, Ramli MF, Kura NU (2013) River water quality assessment using environmentric techniques: case study of Jakara River Basin. Environ Sci Pollut Res 20(8):5630–5644. https://doi.org/10.1007/s11356-013-1542-z
Nam WH, Choi JY (2014) Development of an irrigation vulnerability assessment model in agricultural reservoirs utilizing probability theory and reliability analysis. Agric Water Manag 142:115–126. https://doi.org/10.1016/j.agwat.2014.05.009
Nam WH, Choi JY, Hong EM (2015) Irrigation vulnerability assessment on agricultural water supply risk for adaptive management of climate change in South Korea. Agric Water Manag 152:173–187. https://doi.org/10.1016/j.agwat.2015.01.012
Nam WH, Hong EM, Choi JY (2016) Assessment of water delivery efficiency in irrigation canals using performance indicators. Irrig Sci 34:129–143. https://doi.org/10.1007/s00271-016-0488-6
Nam WH, Kim TG, Hong EM, Choi JY, Kim JT (2017) A wireless sensor network (WSN) application for irrigation facilities management based on information and communication technologies (ICTs). Comput Electron Agric 143:185–192. https://doi.org/10.1016/j.compag.2017.10.007
Rossman LA (2010) Storm water management model user’s manual version 5.0. National risk management research laboratory, environmental protection agency, Cincinnati, Ohio
Schoenfelder C, Kenner S, Hoyer D (2006) Hydraulic model of the belle fourche irrigation district using EPA SWMM 5.0. In: American society of civil engineers world environmental and water resource congress, pp 1–10. https://doi.org/10.1061/40856(200)262
Sheng H, Zhang X, Chen N, Li B, Ma H, Xu L, Li R, Dev N (2022) Drought propagation modification after the construction of the Three Gorges Dam in the Yangtze River Basin. J Hydrol 603:127138. https://doi.org/10.1061/40856(200)262
Shin JH, Nam WH, Bang NK, Kim HJ, An HU, Do JW, Lee KY (2020a) Assessment of water distribution and irrigation efficiency in agricultural reservoirs using SWMM model. J Korean Soc Agric Eng 62(3):1–13. https://doi.org/10.5389/KSAE.2020.62.3.001
Shin JH, Nam WH, Bang NK, Kim HJ, An HU, Lee KY (2020b) Assessment of irrigation efficiency and water supply vulnerability using SWMM. J Korean Soc Agric Eng 62(6):73–83. https://doi.org/10.5389/KSAE.2020.62.6.073
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. J Korean Soc Agric Eng 63(4):1–12. https://doi.org/10.5389/KSAE.2021.63.4.001
Tigkas D, Vangelis H, Tsakiris G (2015) DrinC: A software for drought analysis based on drought indices. Earth Sci Inf 8(3):697–709. https://doi.org/10.1007/s12145-014-0178-y
Tsihrintzis VA, Hamid R (1998) Runoff quality prediction from small urban catchments using SWMM. Hydrol Process 12:311–329. https://doi.org/10.1002/(SICI)1099-1085(199802)12:2%3c311::AID-HYP579%3e3.0.CO;2-R
Unal HB, Asik S, Avci M, Yasar S, Akkuzu E (2004) Performance of water delivery system at tertiary canal level: a case study of the Menemen left bank irrigation system, Gediz Basin, Turkey. Agric Water Manag 65:155–171. https://doi.org/10.1016/j.agwat.2003.10.002
Wilhite DA, Hayes MJ, Knutson C, Smith KH (2000) Planning for drought: moving from crisis to risk management. J Am Water Resour Assoc 36(4):697–710
Winter JM, Young CA, Mehta VK, Ruane AC, Azarderakhsh M, Davitt A, McDonald K, Haden VR, Rosenzweig C (2017) Integrating water supply constraints into irrigated agricultural simulations of California. Environ Model Softw 96:335–346. https://doi.org/10.1016/j.envsoft.2017.06.048
Yang JS, Kim IW (2016) Development of urban flood risk index for the Cheonggyecheon watershed using SWMM. J Korean Soc Civil Eng 36(3):385–393. https://doi.org/10.12652/Ksce.2016.36.3.0385
Yazdi MN, Ketabchy M, Sample DJ, Scott D, Liao H (2019) An evaluation of HSPF and SWMM for simulating streamflow regimes in an urban watershed. Environ Model Softw 118:211–225. https://doi.org/10.1016/j.envsoft.2019.05.008
Yoon DH, Nam WH, Lee HJ, Hong EM, Feng S, Wardlow BD, Tasesse T, Svoboda MD, Hayes MJ, Kim DE (2020) Agricultural drought assessment in East Asia using satellite-based indices. Remote Sensing 12:444. https://doi.org/10.3390/rs12030444
Yu JS, Choi SJ, Kwon HH, Kim TW (2018) Future water supply risk analysis using a joint drought management index in Nakdong river basin. J Korea Water Resour Assoc 51:1117–1126. https://doi.org/10.3741/JKWRA.2018.51.S-1.1117
Zeng Z, Yuan X, Liang J, Li Y (2021) Designing and implementing an SWMM-based web service framework to provide decision support for real-time urban stormwater management. Environ Model Softw 135:104887. https://doi.org/10.1016/j.envsoft.2020.104887
Zhang X, Chen NC, Li JZ, Chen ZH, Niyogi D (2017) Multi-sensor integrated framework and index for agricultural drought monitoring. Remote Sens Environ 188:141–163. https://doi.org/10.1016/j.rse.2016.10.045
Acknowledgements
This work was supported by Korea Environment Industry & Technology Institute (KEITI) through Water Management Program for Drought Project, funded by Korea Ministry of Environment (MOE) (RS-2023-00230286), and Hubei Provincial Natural Science Foundation of China (2020CFB615). The views expressed in this study are those of the authors and do not necessarily reflect the views of KEITI, MOE, or any of its sub-agencies
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Won-Ho Nam reports financial support was provided by Ministry of Agriculture Food and Rural Affairs. Xiang Zhang reports financial support was provided by Hubei Provincial Natural Science Foundation of China.
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Shin, JH., Nam, WH., Jeon, MG. et al. Assessing water distribution and efficiency by coupled hydraulic-hydrological modeling for irrigation canal network. Paddy Water Environ (2024). https://doi.org/10.1007/s10333-024-00985-7
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DOI: https://doi.org/10.1007/s10333-024-00985-7