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Evaluation of Applicability of APEX-Paddy Model based on Seasonal Forecast

계절예측 정보 기반 APEX-Paddy 모형 적용성 평가

  • Cho, Jaepil (Climate Services and Research Department, APEC Climate Center) ;
  • Choi, Soon-Kun (Department of Agricultural Environment, National Institute of Agricultural Sciences) ;
  • Hwang, Syewoon (Department of Agricultural Engineering, Institute of Agriculture and Life Science, Gyeongsang National University) ;
  • Park, Jihoon (Climate Services and Research Department, APEC Climate Center)
  • 조재필 (APEC 기후센터 기후사업본부) ;
  • 최순군 (국립농업과학원 농업환경부) ;
  • 황세운 (경상대학교 애그로시스템공학부, 농업생명과학연구원) ;
  • 박지훈 (APEC 기후센터 기후사업본부)
  • Received : 2018.10.25
  • Accepted : 2018.11.26
  • Published : 2018.11.30

Abstract

Unit load factor, which is used for the quantification of non-point pollution in watersheds, has the limitation that it does not reflect spatial characteristics of soil, topography and temporal change due to the interannual or seasonal variability of precipitation. Therefore, we developed the method to estimate a watershed-scale non-point pollutant load using seasonal forecast data that forecast changes of precipitation up to 6 months from present time for watershed-scale water quality management. To establish a preemptive countermeasure against non-point pollution sources, it is possible to consider the unstructured management plan which is possible over several months timescale. Notably, it is possible to apply various management methods such as control of sowing and irrigation timing, control of irrigation through water management, and control of fertilizer through fertilization management. In this study, APEX-Paddy model, which can consider the farming method in field scale, was applied to evaluate the applicability of seasonal forecast data. It was confirmed that the rainfall amount during the growing season is an essential factor in the non-point pollution pollutant load. The APEX-Paddy model for quantifying non-point pollution according to various farming methods in paddy fields simulated similarly the annual variation tendency of TN and TP pollutant loads in rice paddies but showed a tendency to underestimate load quantitatively.

Keywords

References

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