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Assessment of Irrigation Efficiency and Water Supply Vulnerability Using SWMM

SWMM 모형을 활용한 평야부 관개효율 및 용수공급 취약성 평가

  • Shin, Ji-Hyeon (School of Social Safety and Systems Engineering, Hankyong National University) ;
  • Nam, Won-Ho (School of Social Safety and Systems Engineering, Institute of Agricultural Environmental Science, National Agricultural Water Research Center, Hankyong National University) ;
  • Bang, Na-Kyoung (Department of Convergence of Information and Communication Engineering, Hankyong National University) ;
  • Kim, Han-Joong (School of Social Safety and Systems Engineering, Institute of Agricultural Environmental Science, Hankyong National University) ;
  • An, Hyun-Uk (Department of Agricultural and Rural Engineering, Chungnam National University) ;
  • Lee, Kwang-Ya (Integrated Water Management Supporting Department, Water Resources Planning Office, Korea Rural Community Corporation)
  • Received : 2020.10.07
  • Accepted : 2020.10.26
  • Published : 2020.11.30

Abstract

Agricultural drought is a natural phenomenon that is difficult to observe and quantitatively express, and agricultural water use is high and usage patterns are diverse, so even if there is a lack of rainfall. The frequency and severity of agricultural drought are increased during the irrigation period where the demand for agricultural water is generated, and reasonable and efficient management of agricultural water for stable water supply is required. As one method to solve the water shortage of agricultural water in an unstructured method, it is necessary to analyze the appropriate supply amount and supply method through simulation from the intake works to the canals organization and paddy field. In this study, irrigation efficiency was analyzed for irrigation systems from April to September over the past three years from the Musu Reservoir located in Jincheon-gun, Chungcheongbuk-do and Pungjeon Reservoir located in Seosan-si, Chungcheongnam-do. SWMM (Storm Water Management Model) was used to collect agricultural water, and irrigation efficiency analysis was conducted using adequacy indicators, and water supply vulnerability. The results of the agricultural water distribution simulation, irrigation efficiency and water supply vulnerability assessment are thought to help the overall understanding of the agricultural water supply and the efficient water management through preliminary analysis of the methods of agricultural water supply in case of drought events.

Keywords

References

  1. Ahn, S. R., G. Y. Park, and S. J. Kim, 2013. Assessment of agricultural water supply capacity using MODSIM-DSS coupled with SWAT. Journal of the Korean Society of Civil Engineers 33(2): 507-519 (in Korean). doi:10.12652/Ksce.2013.33.2.507.
  2. Ahn, T. J., D. H. Cho, S. H. Lee, G. W. Choi, and Y. N. Yoon, 2004. Evaluation of the effective storage of existing agricultural reservoir. Journal of the Korean Water Resources Association 37(5): 353-361 (in Korean). doi:10.3741/JKWRA.2004.37.5.353.
  3. Bang, N. K., W. H. Nam, J. H. Shin, H. J. Kim, K. Kang, S. C. Baek, and K. Y. Lee, 2020. Water balance analysis of pumped-storage reservoir during non-irrigation period for recurrent irrigation water management. Journal of the Korean Society of Agricultural Engineers 62(4): 1-12 (in Korean). doi:10.5389/KSAE.2020.62.4.001.
  4. Choi, S. J., D. R. Lee, and S. G. Kang, 2019. Analysis of water supply capacity based on future various scenarios in Geum river basin. Journal of the Korean Society of Hazard Mitigation 19(5): 315-321 (in Korean). doi:10.9798/KOSHAM.2019.19.5.315.
  5. Han, Y. I., and D. I. Seo, 2014. Application of LID methods for sustainable management of small urban stream using SWMM. Journal of Korean Society of Environmental Engineers 36(10): 691-697 (in Korean). doi:10.4491/KSEE.2014.36.10.691.
  6. Hong, E. M., W. H. Nam, J. Y. Choi, and J. T. Kim, 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(4): 1-8 (in Korean). doi:10.5389/KSAE.2014.56.4.001.
  7. Hong, E. M., J. Y. Choi, W. H. Nam, S. H. Lee, J. K. Choi, and J. T. Kim, 2015. Analysis of water loss rate and irrigation efficiency in irrigation canal at the Dong-Jin district. Journal of the Korean Society of Agricultural Engineers 57(2): 93-101 (in Korean). doi:10.5389/KSAE.2015.57.2.093.
  8. Irmak, S., L. O. Odhiambo, W. L. Kranz, and D. E. Eisenhauer, 2011. Irrigation efficiency and uniformity, and crop water use efficiency. University of Nebraska-Lincoln Extension Circular EC732.
  9. Jee, H. K., 2011. Local balanced development for use of agricultural reservoir. Magazine of Korea Water Resources Association 44(9): 27-32 (in Korean).
  10. Jeon, M. G., W. H. Nam, E. M. Hong, S. A. Hwang, J. H. Ok, H. R. Cho, K. H. Han, K. H. Jung, Y. S. Zhang, and S. Y. Hong, 2019. Comparison of reference evapotranspiration estimation methods with limited data in South Korea. Korean Journal of Agricultural Science 42(2): 137-149 (in Korean). doi:10.7744/kjoas.20190004.
  11. Kang, T. U., and S. H. Lee, 2014. Development on an automatic calibration module of the SWMM for watershed runoff simulation and water quality simulation. Journal of Korea Water Resources Association 47(4): 343-356 (in Korean). doi:10.3741/JKWRA.2014.47.4.343.
  12. Kim, J. H., J. H. Lee, M. J. Park, and J. G. Joo, 2016a. Effect of climate change scenarios and regional climate models on the drought severity-duration-frequency analysis. Journal of Korean Society of Hazard Mitigation 16(2): 351-361 (in Korean). doi:10.9798/KOSHAM.2016.16.2.351.
  13. Kim, J. S., J. Y. Lee, J. B. Lee, C. M. Song, and J. S. Park, 2016b. Evaluation of agricultural water supply potential in agricultural reservoirs. Journal of the Korean Society of Agricultural Engineers 58(2): 65-71 (in Korean). doi:10.5389/KSAE.2016.58.2.065.
  14. Kim, J. T., K. W. Park, and U. J. Ju, 2005. Reservoir water monitoring system with automatic level meter. Journal of the Korea National Committee on Irrigation and Drainage 12(1): 60-68 (in Korean).
  15. Kim, J. U., J. Y. Lee, and S. J. Kim, 2019. Evaluation of the future agricultural drought severity of South Korea by using Reservoir Drought Index (RDI) and climate change scenarios. Journal of Korea Water Resources Association 52(6): 381-395 (in Korean). doi:10.3741/JKWRA.2019.52.6.381.
  16. Kim, S. R., M. W. Jang, S. J. Kim, and S. J. Bae, 2017. Spatial and temporal analysis of drought using the storage data of agricultural reservoirs in Chungnam province in 2015. Journal of the Korean Society of Agricultural Engineers 59(2): 9-36 (in Korean). doi:10.5389/KSAE.2017.59.2.029.
  17. Kim, Y. Y., J. W. Lee, S. Y. Woo, and S. J. Kim, 2020. Inter-basin water transfer modeling from Seomjin river to Yeongsan river using SWAT. Journal of Korea Water Resources Association 53(1): 57-70 (in Korean). doi:10.3741/JKWRA.2020.53.1.57.
  18. Koo, Y. M., and D. G. Seo, 2017. Parameter estimations to improve urban planning area runoff prediction accuracy using Storm Water Management Model (SWMM). Journal of Korea Water Resources Association 50(5): 303-313 (in Korean). doi:10.3741/JKWRA.2017.50.5.303.
  19. Kumar, R., and J. Singh, 2003. Regional water management modeling for decision support in irrigated agriculture. Journal of Irrigation and Drainage Engineering 129: 432-439. doi:10.1061/(ASCE)0733-9437(2003)129:6(432).
  20. Lee, D. H., C. W. Choi, M. S. Yu, and J. E. Yi, 2012. Reevaluation of multi-purpose reservoir yield. Journal of Korea Water Resources Association 45(4): 361-371 (in Korean). doi:10.3741/JKWRA.2012.45.4.361.
  21. Lee, H. W., and J. H. Choi, 2015. Analysis of rainfall-runoff characteristics in Shiwha industrial watershed using SWMM. Journal of Korean Society of Environmental Engineers 37(1): 14-22 (in Korean). doi:10.4491/KSEE.2015.37.1.14.
  22. Molden, D. J., and T. K. Gates, 1990. Performance measures for evaluation of irrigation-water-delivery systems. Journal of Irrigation and Drainage Engineering 116: 804-823. doi:10.1061/(ASCE)0733-9437(1990)116:6(804).
  23. Mun, Y. S., W. H. Nam, M. G. Jeon, H. J. Kim, K. Kang, J. C. Lee, T. H. Ha, and K. Y. Lee, 2020a. Evaluation of regional drought vulnerability assessment based on agricultural water and reservoirs. Journal of the Korean Society of Agricultural Engineers 62(2): 97-109 (in Korean). doi:10.5389/KSAE.2020.62.2.97.
  24. Mun, Y. S., W. H. Nam, T. G. Kim, E. M. Hong, and C. Y. Sur, 2020b. Evaluation and comparison of meteorological drought index using multi-satellite based precipitation products in East Asia. Journal of the Korean Society of Agricultural Engineers 62(1): 85-95 (in Korean). doi:10.5389/KSAE.2020.62.1.085.
  25. Nam, W. H., T. G. Kim, J. Y. Choi, and H. J. Kim, 2012a. Evaluation of irrigation vulnerability characteristic curves in agricultural reservoir. Journal of the Korean Society of Agricultural Engineers 54(6): 39-44 (in Korean). doi:10.5389/KSAE.2012.54.6.039.
  26. Nam, W. H., T. G. Kim, J. Y. Choi, and J. J. Lee, 2012b. Vulnerability assessment of water supply in agricultural reservoir utilizing probability distribution and reliability analysis methods. Journal of the Korean Society of Agricultural Engineers 54(2): 37-46 (in Korean). doi:10.5389/KSAE.2012.54.2.037.
  27. Nam, W. H., and J. Y. Choi, 2013. Development of operation rules in agricultural reservoirs using real-time water level and irrigation vulnerability index. Journal of the Korean Society of Agricultural Engineers 55(6): 77-85 (in Korean). doi:10.5389/KSAE.2013.55.6.077.
  28. Nam, W. H., J. Y. Choi, E. M. Hong, and J. T. Kim, 2013. Assessment of irrigation efficiencies using smarter water management. Journal of the Korean Society of Agricultural Engineers 55(4): 45-53 (in Korean). doi:10.5389/KSAE.2013.55.4.045.
  29. Nam, W. H., M. J. Hayes, M. D. Svoboda, T. Tadesse, and D. A. Wilhite, 2015. Drought hazard assessment in the context of climate change for South Korea. Agricultural Water Management 160: 106-117. doi:10.1016/j.agwat.2015.06.029.
  30. Nam, W. H., E. M. Hong, and J. Y. Choi, 2016. Assessment of water delivery efficiency in irrigation canals using performance indicators. Irrigation Science 34(2): 129-143. doi:10.1007/s00271-016-0488-6.
  31. Nam, W. H., H. J. Kwon, and K. S. Choi, 2018. Reevaluation of design frequency of drought and water supply safety for agricultural reservoirs under changing climate and farming methods in paddy field. Journal of the Korean Society of Agricultural Engineers 60(1): 121-131 (in Korean). doi:10.5389/KSAE.2018.60.1.121.
  32. Rosenberg, N. J., 1979. Drought in the great plains-research on impact and strategies. In Proc. of the Workshop on Research in Great Plains Drought Management Strategies, 26-28, University of Nebraska, Lincoln, NE.
  33. Rossman, L. A., 2017. Storm water management model reference manual volume II - Hydraulics. United States Environmental Protection Agency (U.S. EPA).
  34. Shin, J. H., W. H. Nam, N. K. Bang , H. J. Kim, H. U. An, J. W. Do, and K. Y. Lee, 2020. Assessment of water distribution and irrigation efficiency in agricultural reservoirs using SWMM model. Journal of the Korean Society of Agricultural Engineers 62(3): 1-13 (in Korean). doi:10.5389/KSAE.2020.62.3.001.
  35. Song, J. H., I. Song, J. T. Kim, and M. S. Kang, 2015. Simulation of agricultural water supply considering yearly variation of irrigation efficiency. Journal of Korea Water Resources Association 48(6): 425-438 (in Korean). doi:10.3741/JKWRA.2015.48.6.425.
  36. Unal, H. B., S. Asik, M. Avci, S. Yasar, and E. Akkuzu, 2004. Performance of water delivery system at tertiary canal level: A case study of the Menemen Left Bank Irrigation System, Gediz Basin, Turkey. Agricultural Water Management 65(3): 155-171. doi:10.1016/J.AGWAT.2003.10.002.
  37. Yoon, D. H., W. H. Nam, H. J. Lee, E. M. Hong, T. G. Kim, D. E. Kim, A. K. Shin, and D. S. Mark, 2018. Application of Evaporative Stress Index (ESI) for satellite-based agricultural drought monitoring in South Korea. Journal of the Korean Society of Agricultural Engineers 60(6): 121-131 (in Korean). doi:10.5389/KSAE.2018.60.6.121.