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 pre-processing radar rainfall data. Then we evaluate the proposed method using the radar rainfall data and the inflow data acquired in a certain combined sewer system. This study reveals that a few principal components of radar rainfall data can be appropriate as the input variables to storm water inflow prediction model. Consequently, we have established a procedure for the stormwater prediction method using a few principal components of radar rainfall data.
Stormwater inflow prediction using radar rainfall data compressed by principal component analysis
K. Katayama, K. Kimijima, O. Yamanaka, A. Nagaiwa, Y. Ono; Stormwater inflow prediction using radar rainfall data compressed by principal component analysis. Water Practice and Technology 1 March 2006; 1 (1): wpt2006017. doi: https://doi.org/10.2166/wpt.2006.017
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