Stormwater inflow prediction using radar rainfall data compressed by principal component analysis

K. Katayama, K. Kimijima, O. Yamanaka, A. Nagaiwa & Y. Ono
This paper proposes a method of stormwater inflow prediction using radar rainfall data as the input of the prediction model constructed by system identification. The aim of the proposal is to construct a compact system by reducing the dimension of the input data. In this paper, Principal Component Analysis (PCA), which is widely used as a statistical method for data analysis and compression, is applied to preprocessing radar rainfall data. Then we evaluate the proposed...

1 Related Work

Stormwater inflow prediction using radar rainfall data compressed by principal component analysis

K. Katayama, K. Kimijima, O. Yamanaka, A. Nagaiwa & Y. Ono
This paper proposes a method of stormwater inflow prediction using radar rainfall data as the input of the prediction model constructed by system identification. The aim of the proposal is to construct a compact system by reducing the dimension of the input data. In this paper, Principal Component Analysis (PCA), which is widely used as a statistical method for data analysis and compression, is applied to preprocessing radar rainfall data. Then we evaluate the proposed...

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  • Event
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Publication Year

  • 2005
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Data Centers

  • DTIC Datacenter
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