Journal of The Korean Society of Agricultural Engineers (한국농공학회논문집)

The Korean Society of Agricultural Engineers (한국농공학회)
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Assessing the Climate Change Impacts on Agricultural Reservoirs using the SWAT model and CMIP5 GCMs

SWAT모형과 CMIP5 자료를 이용한 기후변화에 따른 농업용 저수지 기후변화 영향 평가

  • 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)
  • Received : 2015.04.28
  • Accepted : 2015.08.06
  • Published : 2015.09.30
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Abstract

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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References

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