| Summary: | 碩士 === 朝陽科技大學 === 環境工程與管理系碩士班 === 100 === Abstract
This study aims to investigate the effectiveness of applying ANAMMOX in EABD-AO and the ANFIS prediction purposes for enhancing the effectiveness of sewage treatment plants. The paper is divided into two parts: 1) ANFIS: (1) to apply the correlation coefficient method to screen system parameters for discussion of applying ANFIS (adaptive network based fuzzy inference system) and establish the simulation model; (2) to discuss the ANFIS’ efficiency in predicting the quality of industrial wastewater plant effluents; 2) ANAMMOX: (1) to establish the innovative removal procedures of carbon, nitrogen and phosphorus and the ANAMMOX program; (2) to use the EABD-AO active sludge system to understand the response constant of the active sludge microbial functional groups. The results showed that, the prediction results of ANFIS regarding the industrial wastewater plant effluents are: the optimal MAPE (mean absolute percentage error) of SSeff, CODeff, pHeff as predicted by ANFIS are 13.88%, 9.47%, 2.11%, respectively; CR (correlation coefficient) are 0.41, 0.36, 0.80 respectively. The results suggested that, the MAPE and R value of ANFIS are highly correlated, indicating that the simulated values and the actual values are almost consistent. The response constant of the simulated active sludge microbial functional groups has confirmed that the ANAMMOX reaction after the addition of inorganic carbon in the EABD-AO simulated plant can help the removal rate of the plant. The batch barrel test and ANAMMOX calculation also confirm its existence, thus help to understand the constant of the energy consumed in reaction.
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