caa a22 4500 467922470 CHVBK 20180406152920.0 cr unu---uuuuu 170328e20060101xx s 000 0 eng 10.1007/s00477-005-0243-7 doi (NATIONALLICENCE)springer-10.1007/s00477-005-0243-7 Integration of transfer function model and back propagation neural network for forecasting storm sewer flow in Taipei metropolis [Elektronische Daten] [Chih-Chiang Lu, Chu-Hui Chen, Tian-Chyi Yeh, Cheng-Mau Wu, I-Fang Yau] Typhoons and storms have often brought heavy rainfalls and induced floods that have frequently caused severe damage and loss of life in Taiwan. Our ability to predict sewer discharge and forecast floods in advance during storm seasons plays an important role in flood warning and flood hazard mitigation. In this paper, we develop an integrated model (TFMBPN) for forecasting sewer discharge that combines two traditional models: a transfer function model and a back propagation neural network. We evaluated the integrated model and the two traditional models by applying them to a sewer system of Taipei metropolis during three past typhoon events (NARI, SINLAKU, and NAKR). The performances of the models were evaluated by using predictions of a total of 6h of sewer flow stages, and six different evaluation indices of the predictions. Finally, an overall performance index was determined to assess the overall performance of each model. Based on these evaluation indices, our analysis shows that TFMBNP yields accurate results that surpass the two traditional models. Thus, TFMBNP appears to be a promising tool for flood forecasting for the Taipei metropolis sewer system. Springer-Verlag, 2005 Transfer function model nationallicence Back propagation neural network nationallicence Storm sewer flow nationallicence Evaluation indexes nationallicence Overall performance index nationallicence Lu Chih-Chiang Department of International Trade, ChungKuo Institute of Technology, Taipei, Taiwan aut Chen Chu-Hui Department of Civil Engineering, ChungKuo Institute of Technology, Taipei, Taiwan aut Yeh Tian-Chyi Department of Hydrology and Water Resources, The University of Arizona, 85721, Tucson, AZ, USA aut Wu Cheng-Mau Department of Civil Engineering, National Taiwan University, Taipei, Taiwan aut Yau I-Fang Department of Civil Engineering, ChungKuo Institute of Technology, Taipei, Taiwan aut Stochastic Environmental Research and Risk Assessment Springer-Verlag 20/1-2(2006-01-01), 6-22 1436-3240 20:1-2<6 2006 20 477 https://doi.org/10.1007/s00477-005-0243-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00477-005-0243-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Lu Chih-Chiang Department of International Trade, ChungKuo Institute of Technology, Taipei, Taiwan aut NATIONALLICENCE 700 1- Chen Chu-Hui Department of Civil Engineering, ChungKuo Institute of Technology, Taipei, Taiwan aut NATIONALLICENCE 700 1- Yeh Tian-Chyi Department of Hydrology and Water Resources, The University of Arizona, 85721, Tucson, AZ, USA aut NATIONALLICENCE 700 1- Wu Cheng-Mau Department of Civil Engineering, National Taiwan University, Taipei, Taiwan aut NATIONALLICENCE 700 1- Yau I-Fang Department of Civil Engineering, ChungKuo Institute of Technology, Taipei, Taiwan aut NATIONALLICENCE 773 0- Stochastic Environmental Research and Risk Assessment Springer-Verlag 20/1-2(2006-01-01), 6-22 1436-3240 20:1-2<6 2006 20 477 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer