연구동향 분석
박사

Quantification and Prediction of Stream Drying Phenomena Using Grid-Based Hydrological Modeling and Artificial Neural Network = 분포형 수문모델링과 인공신경망을 이용한 하천건천화 현상 정량화 및 예측

정충길 2018년

논문상세정보
인용/피인용
' Quantification and Prediction of Stream Drying Phenomena Using Grid-Based Hydrological Modeling and Artificial Neural Network = 분포형 수문모델링과 인공신경망을 이용한 하천건천화 현상 정량화 및 예측' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Artificial neural network
  • DrySAT-WFT
  • Forecasting runoff
  • Grid-based continuous hydrological model
  • Stream drying index
  • Stream drying phenomena
  • Water loss DB
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
173 0

0.0%

' Quantification and Prediction of Stream Drying Phenomena Using Grid-Based Hydrological Modeling and Artificial Neural Network = 분포형 수문모델링과 인공신경망을 이용한 하천건천화 현상 정량화 및 예측' 의 참고문헌

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