The Application of Artificial Neural Network for Forecasting Dam Spillage Events.

Artificial Neural Network (ANN ) is applied for forecasting of dam spillage using a 10 year hydrological dataset of Ahning Dam in the northern Malaysia at the Pedu-Muda area. During the rainy season, the Ahning Dam will overflow due to heavy rainfall. Increased siltation due to logging could contribute to worsen the overflow during this time. This will lead to increasingly destructive floods downstream. Rainfall in the PeduMuda area is not constant. It is highly influenced by the monsoon seasons. During the dry season, the dams may dry up. Siltation will further hamper the dams’ capability to store water for irrigation. This study has shown that a simple ANN, based on 3 input variables; dam inflow, rainfall and dam release can forecast the complex non-linear hydrological processes of dam spillage events.

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