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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40164

Title: Application of pumping operation models for a drainage system
Authors: Chih Chiang Wei
Contributors: 國立臺灣海洋大學:海洋環境資訊學系
Keywords: Pumping
Artificial Neural Network (ANN)
Flood
Operation
Prediction
Date: 2012-12
Issue Date: 2017-01-16T02:35:18Z
Publisher: Applied Mechanics and Materials
Abstract: Abstract: A pumping operation model has been developed in urban areas caused by the storm runoff. The Chung-Kong pumping station in New Taipei City is used as a case study, where storm and operating records are used to train and verify the model’s performance. Historical records contain information of rainfall amounts, inner water levels, and pump and gate operating records in torrential rain events. The results show that the case with lag time of 15 min gives the better forecasted pumping discharge than other cases. The proposed predicting pumping model successfully addresses the problems of forecasted pumping discharge.
Relation: 256-259
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40164
Appears in Collections:[海洋環境資訊系] 期刊論文

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