Journal of Climate Change Research (한국기후변화학회지)

The Korean Society of Climate Change Research (한국기후변화학회)
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Assessing the EPIC Model for Estimation of Future Crops Yield in South Korea

미래 작물생산량 추정을 위한 EPIC 모형의 국내 적용과 평가

  • Lim, Chul-Hee (Dept. of Environmental Science and Ecological Engineering, Korea University) ;
  • Lee, Woo-Kyun (Dept. of Environmental Science and Ecological Engineering, Korea University) ;
  • Song, Yongho (Korea Forestry Promotion Institute) ;
  • Eom, Ki-Cheol (Sejong Institute of Data Analysis)
  • Received : 2014.12.15
  • Accepted : 2015.03.12
  • Published : 2015.03.31
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Abstract

Various crop models have been extensively used for estimation of the crop yields. Compared to the other models, the EPIC model uses a unified approach to simulate more than 100 types of crops. It has been successfully applied in simulating crop yields for various combinations of weather conditions, soil properties, crops, and management schemes in many countries. The objective of this study was to estimate the rice and maize yield in South Korea using the EPIC model. The input datasets for the 30 types in the 11 categories were created for the EPIC model. The EPIC model simulated rice and maize yields. The performance of the EPIC model was evaluated with the goodness-of-fit measures including Root Mean Square Error (RMSE), Relative Error (RE), Nash-Sutcliffe Efficiency Coefficient (NSEC), Mean Absolute Error (MAE), and Pearson Correelation Coefficient (r). The rice yield showed to more high accuracy than maize yield on four type of method without NSEC. Theses results showed that the EPIC model better simulated rice yields than maize yields. The results suggest that the EPIC crop model can be useful to estimate crop yield in South Korea.

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Acknowledgement

Supported by : 농촌진흥청