신경망 이론에 의한 황룡강의 홍수유출예측에 관한 연구
A Study on The Flood Flow Forecasting of The Hwangyong-River by a Neural Network Theory
- 주제(KDC) 530.4
- 발행기관 東新大學校 工業技術硏究所
- 발행년도 2004
- 총서유형 Journal
- 본문언어 한국어
초록/요약
This research overcomes limitation of physical model using storage function method that is used in flood routing method of flood forecasting-warning system of 5 basic principle basin of our country. We also developed a nonlinear-model of rainfall-runoff process using artificial neural networks (ANNs) that do not consider to hydrology structure of basin. The results show that the ANN_SA_9 selected in the present study generally well-performed the one-step ahead prediction of runoff in the study area, the Sunam station. Also, base on ANN_SA_9 which have the value of R2 more than 0.95 developed in this search, we can have a higher reliability to operate and manage the water resources and rivers plan more efficiently in the future.
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