碩士 / 中原大學 / 土木工程研究所 / 97 / The study applies Adaptive-Network-Based Fuzzy Inference System (ANFIS) to sewer stage forecasting, called as ASF model, with Web GIS to set up a ANFIS for Sewer Stage Forecasting System, called as ASFS. In Taipei city, Zhung-Gung and Yu-Cheng drainage systems are employed for the practical case study in that the drainage system minutely record observed water stages in each storm event. Accordingly, ASF model adopts the observation data from 8 storm events in 2004~2006 as ASF model inputs. Of the 8 storm events, 5 storm events are adopted for the training set; 2 storm events, for validation set; and 1 storm event, for test case. Investigations regard 1) the correlation between rainfalls and water stages, and 2) the prediction accuracy and applicability due to computing time, by ASF model based on the different forecast periods, 5 minutes, 10 minutes and 1 hour respectively. As a result, rainfall data is not proper to be used as the ASF model inputs due to weak correlations between rainfall data and output water stages. In consequence, ASF model provides excellent predictions for 5-minute and 10-minute forecast periods.
| Identifer | oai:union.ndltd.org:TW/097CYCU5015043 |
| Date | January 2009 |
| Creators | Wei-Li Lin, 林偉立 |
| Contributors | Shiu-Shin Lin, 林旭信 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 118 |
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