| 内容 |
研究発表 |
| 巻 |
9巻2号2004年
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| Page |
99
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| 題名 |
Study on sensitive analysis criteria for activated sludge models combined with settling model
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| Title |
Study on sensitive analysis criteria for activated sludge models combined with settling model |
| 著者 |
J. R. Kim* ? J. H. Ko* ? K. S. Choi** ? S. I. Lee*** ? ○C. W. Kim* |
| Authors |
J. R. Kim*，J. H. Ko*，K. S. Choi**，S. I. Lee***，○C. W. Kim* |
| 著者表記 |
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| 著者表記(英) |
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| 著者勤務先名 |
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| Office name |
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| 著者所属名 |
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| Key Words |
Activated sludge model，genetic algorithm，sensitivity analysis，Simulation Benchmark |
| 概要 |
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| Abstract |
The purpose of this paper was to propose proper sensitivity analysis criteria which can minimize calibration efforts and produce reliable effluent quality predictions. ASM1 and ASM3 parameter sensitivity (in combination with a one-dimensional settling model) was analyzed by various criteria based on the step variation of single parameters (SVM) or random variations of all parameters (RVM), using the IWA Simulation Benchmark (Copp et al. 2002). SVM was not significantly affected by the analysis conditions and it produced reliable ΔEQ values in every case. Moreover, it was the easiest and simplest methodology. Once selected the parameters were estimated with a genetic algorithm. It was concluded that SVM was the best sensitivity analysis criteria for both ASM1 and ASM3 in this case. |
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