한국농공학회논문집 (Journal of The Korean Society of Agricultural Engineers)

  • 제57권5호
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  • Pages.1-12
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  • 2015
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  • 1738-3692(pISSN)
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  • 2093-7709(eISSN)
한국농공학회 (The Korean Society of Agricultural Engineers)
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SWAT모형과 CMIP5 자료를 이용한 기후변화에 따른 농업용 저수지 기후변화 영향 평가

Assessing the Climate Change Impacts on Agricultural Reservoirs using the SWAT model and CMIP5 GCMs

  • Cho, Jaepil (Climate Research Department, APEC Climate Center) ;
  • Hwang, Syewoon (Department of Agricultural Engineering, Gyeongsng National University) ;
  • Go, Gwangdon (Agricultural Infrastructure Development Division, Korea Rural Community Corporation) ;
  • Kim, Kwang-Young (Water Resources Research Division, Rural Research Institute) ;
  • Kim, Jeongdae (Water Resources Research Division, Rural Research Institute)
  • 투고 : 2015.04.28
  • 심사 : 2015.08.06
  • 발행 : 2015.09.30
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초록

The study aimed to project inflows and demmands for the agricultural reservoir watersheds in South Korea considering a variety of regional characteristics and the uncertainty of future climate information. The study bias-corrected and spatially downscaled retrospective daily Global Climate Model (GCM) outputs under Representative Concentration Pathways (RCP) 4.5 and 8.5 emission scenarios using non-parametric quantile mapping method to force Soil and Water Assessment Tool (SWAT) model. Using the historical simulation, the skills of un-calibrated SWAT model (without calibration process) was evaluated for 5 reservoir watersheds (selected as well-monitored representatives). The study then, evaluated the performance of 9 GCMs in reproducing historical upstream inflow and irrigation demand at the five representative reservoirs. Finally future inflows and demands for 58 watersheds were projected using 9 GCMs projections under the two RCP scenarios. We demonstrated that (1) un-calibrated SWAT model is likely applicable to agricultural watershed, (2) the uncertainty of future climate information from different GCMs is significant, (3) multi-model ensemble (MME) shows comparatively resonable skills in reproducing water balances over the study area. The results of projection under the RCP 4.5 and RCP 8.5 scenario generally showed the increase of inflow by 9.4% and 10.8% and demand by 1.4% and 1.7%, respectively. More importantly, the results for different seasons and reservoirs varied considerably in the impacts of climate change.

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참고문헌

  1. 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 Korea Water Resources Association 37(5): 353-361 (in Korean). https://doi.org/10.3741/JKWRA.2004.37.5.353
  2. Arnold, J. G., R. Srinivasan, R. S. Muttiah, and J. R. Williams, 1998. Large-area hydrologic modeling and assessment: Part I. Model development. J. Amer. Water Resources Association 34(1): 73-89. https://doi.org/10.1111/j.1752-1688.1998.tb05961.x
  3. Nam, W. H., E. M. Hong, T. Kim, and J. Y. Choi, 2014. Projection of future water supply sustainability in agricultural reservoirs under RCP climate change ccenarios. Journal of the Korean Society of Agricultural Engineers 56(4): 59-68 (in Korean). https://doi.org/10.5389/KSAE.2014.56.4.059
  4. Cho, J., 2013. Impact assessment of climate change for agricultural reservoirs considering uncertainty. Research report, APEC Climate Center, Busan, Republic of Korea (in Korean).
  5. De Silva, C. S., E. K. Weatherhead, J. W. Knox, and J. A. Rodriguez-Diaz, 2007. Predicting the impacts of climate change-A case study of paddy irrigation water requirements in Sri Lanka. Agricultural Water Management 93: 19-29. https://doi.org/10.1016/j.agwat.2007.06.003
  6. Chung S. O., 2009a. Climate change impacts on paddy irrigation requirement in the Nakdong river basin. Journal of the Korean Society of Agricultural Engineers 51(2): 35-41 (in Korean). https://doi.org/10.5389/KSAE.2009.51.2.035
  7. Chung S. O., 2009b. Prediction of paddy irrigation demand in Nakdong river basin using regional climate model outputs. Journal of the Korean Society of Agricultural Engineers 51(4): 7-13 (in Korean). https://doi.org/10.5389/KSAE.2009.51.4.007
  8. Cheong T. S., S, U. Kang, M. H. Hwang, and I. H. Ko, 2008. Development and validation of reservoir operation rules for integrated water resources management in the Geum river basin. Journal of Korea Water Resources Association 41(4): 433-444 (in Korean). https://doi.org/10.3741/JKWRA.2008.41.4.433
  9. Fischer, G., F. N. Tubiello, H. Van Velthuizen, and D. A. Wiberg, 2007. Climate change impacts on irrigation water requirements: effects of mitigation, 1990-2080. Technological Forecasting and Social Change 74: 1083-1107. https://doi.org/10.1016/j.techfore.2006.05.021
  10. Hwang, S. W, 2014a. Assessing the performance of CMIP5 GCMs for various climatic elements and indicators over the southeast US. Journal of Korea Water Resources Association 47(11): 1039-1050 (in Korean). https://doi.org/10.3741/JKWRA.2014.47.11.1039
  11. Hwang, S. W, 2014b. Summary and inter-comparison of GHG scenarios and the results of climate change forecasts in the IPCC Assessment Reports. Rural Resources 56(2): 26-32 (in Korean).
  12. Hwang, S. W., and Kang, M. S, 2013. The methodologies of climate change impact assessment and uncertainty in each procedure. Rural Resources 55(1): 30-39 (in Korean).
  13. Im, S. J., K. M. Brannan, S. Mostaghimi, and J. Cho, 2004. Simulating fecal coliform bacteria loading from an urbanizing watershed. Journal of Environmental Science and Health, PartAToxic /Hazardous Substances & Environmental Engineering 39(3): 663-679. https://doi.org/10.1081/ESE-120027732
  14. Kang, M. G., J. H. Lee, and K. W. Park, 2013. Parameter regionalization of a TANK model for simulating runoffs from ungauged watersheds. Journal of Korea Water Resources Association 46(5): 519-530 (in Korean). https://doi.org/10.3741/JKWRA.2013.46.5.519
  15. Kim H. Y., and S. W. Park, 1988. Simulating daily inflow and release rates for irrigation reservoirs(III). Journal of the Korean Society of Agricultural Engineers 30(3): 95-105 (in Korean).
  16. Kim, C. G., and N. W. Kim, 2012. Comparison of natural flow estimates for the Han river basin using TANK and SWAT models. Journal of Korea Water Resources Association 45(3): 301-316 (in Korean). https://doi.org/10.3741/JKWRA.2012.45.3.301
  17. Lee Y. J., M. J. Park, K. W. Park, and S. J. Kim, 2008. Analysis of hydrologic behavior including agricultural reservoir operation using SWAT model. Journal of the Korean Association of Geographic Information Studies 11(1): 20-30 (in Korean).
  18. Oh, Y. G., S. H. Yoo, S. H. Lee, N. Y. Park, J. Y. Choi, and D. K. Yun, 2012. Prediction of land-cover change and analysis of paddy fields changes based on climate change scenario (A1B) in agricultural reservoir watersheds. Journal of the Korean Society of Agricultural Engineers 54(2): 77-86 (in Korean). https://doi.org/10.5389/KSAE.2012.54.2.077
  19. Park, G. A., S.-R. Anh, Y.-J. Lee, H.-j. Shin, M.-J. Park, and S.-J. Kim, Assessment of climate change impact on the inflow and outflow of two agricultural reservoirs in Korea. American Society of Agricultural and Biological Engineers 52(5): 1869-1883.
  20. Park, J., M. S. Kang, I. Song, S. H. Hwang, and J. H. Song, 2013. Development of IDF curve based on RCP4.5 scenario for 30-reservoirs in South Korea. Journal of Korean Society Hazard Mitigation 13(6): 145-159 (in Korean). https://doi.org/10.9798/KOSHAM.2013.13.6.145
  21. Rural Agricultural Water Resource Information System, https://rawris.ekr.or.kr/.
  22. Rural Research Institute (RRI), 2011. A study on the impact assessment of climate change on agricultural water. Korean Rural Community Corporation, Republic of Korea (in Korean).
  23. Rural Research Institute (RRI), 2013. Saemangeum basin modeling study considering future water quality characteristics analysis and agricultural non-point source pollution mechanism. Korean Rural Community Corporation, Republic of Korea (in Korean).
  24. Tebaldi, C. and R. Knutti, 2007. The use of the multi-model ensemble in probabilistic climate projections. Philosophical Transactions of the Royal Society 365: 2053-2075. https://doi.org/10.1098/rsta.2007.2076
  25. Yun D. H., S. O. Chumg, and S. J. Kim, 2011. Climate change impacts on paddy water requirement. Journal of the Korean Society of Agricultural Engineers 53(4): 39-47 (in Korean). https://doi.org/10.5389/KSAE.2011.53.4.037