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Estimating Irrigation Requirement for Rice Cropping under Flooding Condition using BUDGET Model

  • Seo, Mi-jin (Soil and Fertilizer Division, National Academy of Agricultural Science, RDA) ;
  • Han, Kyung-Hwa (Soil and Fertilizer Division, National Academy of Agricultural Science, RDA) ;
  • Zhang, Yong-Seon (Soil and Fertilizer Division, National Academy of Agricultural Science, RDA) ;
  • Jung, Kang-Ho (Soil and Fertilizer Division, National Academy of Agricultural Science, RDA) ;
  • Cho, Hee-Rae (Soil and Fertilizer Division, National Academy of Agricultural Science, RDA)
  • 투고 : 2015.07.14
  • 심사 : 2015.07.29
  • 발행 : 2015.08.31

초록

This study explored the effect of rainfall pattern and soil characteristics on water management in rice paddy fields, using a soil water balance model, BUDGET. In two sites with different soil textural group, coarse loamy soil (Gangseo series) and fine soil (Hwadong series), respectively, we have monitored daily decrease of water depth, percolation rate, and groundwater table. The observed evapotranspiration (ET) was obtained from differences between water depth decrease and percolation rate. The root mean square difference values between observed and BUDGET-estimated ET ranged between 10% and 20% of the average observed ET. This is comparable to the measurement uncertainty, suggesting that the BUDGET model can provide reliable ET estimation for rice fields. In BUDGET model of this study, irrigation requirement was determined as minimum water need for maintaining water-saturated soil surface, assuming 100 mm of bund height and no lateral loss of water. The model results showed different water balance and irrigation requirement with the different soil profile and indicated that minimum percolation rate by plow pan could determine the irrigation requirement of rice paddy field. For the condition of different rainfall distribution, the results presented different irrigation period and amounts, representing the importance of securing water for irrigation against different rainfall pattern.

키워드

참고문헌

  1. Belmans, C., J.G. Wesseling, and R.A. Feddes. 1983. Simulation of the water balance of a cropped soil. SWATRE. J. Hydrol. 63: 271-286. https://doi.org/10.1016/0022-1694(83)90045-8
  2. Chae, J.C. and S.W. Kim. 2001. Effect of soil texture on rice growth and paddy soil percolation under lysimeter condition. J. Kor. Soc. Crop Sci. 46:236-240.
  3. Doorenbos, J. and A.H. Kassam. 1979. Yield response to water. FAO Irrigation and Drainage Paper No. 33. FAO, Rome, Italy. 193p.
  4. Jensen, M.E., R.D. Burman, and R.G. Allen. 1980. Evapotranspiration and Irrigation Water Requirements; Irrigation and Drainage Div. ASCE. ASCE Manuals and Reports on Engineering Practice No. 70, 332 pp.
  5. Jeon, W.T., C.Y. Park, K.D. Park, Y.S. Cho, J.S. Lee, and D.C. Lee. 2002. Changes of soil characteristics, rice growth and lodging traits by different fertilization and drainage system in paddy soil. J. Kor. Soc. Soil Sci. Fert. 35:153-161.
  6. Kenjabaev, S., I. Forkutsa, M. Bach, and H. G. Frede. 2013. Performance evaluation of the BUDGET model in simulating cotton and wheat yield and soil moisture in Fergana valley. In International Conference and Young Researchers' Forum: 'Natural resource use in Central Asia: institutional challenges and the contribution of capacity building', Giessen, Germany.
  7. Kim, D. W., J. C. Chae, and S. W. Kim. 2001. Effect of rice cultural practices on water percolation, irrigation requirement, and nitrogen leaching under lysimeter condition. J. Kor. Crop. Sci. 46: 6-11.
  8. Kyuma, K. 2004. Paddy soil science. Kyoto University Press and Trans Pacific Press. Kyoto. Japan
  9. MOLIT. 2011. Water resource long-term plan (2011-2020), Ministry of Land, Infrastructure and Transport, Gwacheon-si, Republic of Korea.
  10. NAAS. 2010. Agricultural water management manual against drought. National Academy of Agricultural Science, Suwon, Republic of Korea.
  11. Nasyrov, M.G. 2008. Application of crop water productivity models for better utilization of water resources in Uzbekistan. Proceedings of the 1st technical meeting of Muslim water researchers cooperation, December 2008, Malaysia.
  12. NIAST. 2000. The method of soil and plant analysis. National Institute of Agricultural Science & Technology, Suwon, Republic of Korea.
  13. Oh, J.S. and K.S. Yoo. 1972. The investigation of water depth decrease in paddy fields. Experiment report. Korea Plants Environmental Research (KPER), Suwon-si, Gyeonggi-do, Republic of Korea.
  14. Raes, D. 1982. A summary simulation model of the water budget of a cropped soil. Dissertationes de Agricultura $n^{\circ}$ 122. K.U.Leuven University, Leuven, Belgium. 110p.
  15. Raes, D. 2002. BUDGET, a soil water and salt balance model, version 5.0. K.U.Leuven, Faculty of Agricultural and Applied Biological Sciences, Institute for Land and Water Management, LEUVEN, Belgium.
  16. Raes, D., H. Lemmens, P. Van Aelst, M. Vanden Bulcke, and M. Smith. 1988. IRSIS- Irrigation scheduling information system. Volume 1. Manual. K.U.Leuven, Dep. Land Management, Reference Manual 3. 199p.
  17. Rallison, R.E. 1980. Origin and evolution of the SCS runoff equation. Symp. On Watershed Management, ASCE, New York, N.Y.: 912-924.
  18. RDA. 2013. Technology for high grain quality. Guideline for agricultural technology 157. Rural Development Administration, Jeonju-si, Jeollabuk-do, Repulic of Korea.
  19. Steenhuis, T.S., M. Winchell, J. Rossing, J.A. Zollweg, and M.F. Walter. 1995. SCS runoff equation revisited for variable-source runoff areas. J. Irrigation Drainage Eng. 121: 234-238. https://doi.org/10.1061/(ASCE)0733-9437(1995)121:3(234)
  20. USDA. 1964. Estimation of direct runoff from storm rainfall. National Engineering Handbook, Washington DC, USA. Section 4 Hydrology, Chapter 4: 1-24.