Font Size: a A A

Infrared Spectral Analysis Of The Sludge And Evaluation Of Biological Phosphorus Removal Status Based On Computational Intelligence Algorithm Method

Posted on:2017-05-26Degree:MasterType:Thesis
Country:ChinaCandidate:G B YanFull Text:PDF
GTID:2311330485498728Subject:Municipal engineering
Abstract/Summary:PDF Full Text Request
Enhanced biological phosphorus removal(EBPR) process is an important approach to prevent eutrophication in waste water. Based on the study of the enhanced biological phosphorus removal(EBPR) process and the operation status of wastewater treatment plant, Fourier transform infrared(FTIR) spectroscopy combined with intellectual algorithm method was used to analyze the intracellular storage polymer in the sludge qualitatively and quantitatively. Furthermore, the method of clustering analysis was used to classify the activated sludge from different sources. The main results are as following:(1)The sludge became orange yellow after inoculation and acclimation. Two months later, the sludge became granular and the average particle size is about 0.3 mm. The shape of granular sludge is spherical and ellipsoidal with smooth surface and its settling performance is excellent.(2)The variation of chemical analysis results for the intracellular storage polymer in typical cycle was in accordance with mechanism of enhanced biological phosphorus removal(EBPR). The glycogen and polyphosphate content gradually decreased during the anaerobic stage and increased gradually during the aerobic phase, while the polyhydroxyalkanoates(PHA) accumulated during the anaerobic phase and decomposed in the aerobic phase to provide energy for the excessive absorption of phosphorus.(3)Parallel factor analysis and fuzzy comprehensive evaluation combined with removal rate of water quality indexes and three-dimensional fluorescence spectra were used for comprehensive evaluation of the annual operation effect and stability of a urban wastewater treatment plant. The results showed that the annual stability of the urban wastewater treatment plant was poor.(4)The PHA characteristic absorption peak was located at 1740 cm-1 by FTIR,infrared absorption peak at 1020 cm-1 and 1082cm-1 was ascribed to contribution of glycogen, the characteristic absorption peak of polyphosphate appeared at 890 cm-1 and1280 cm-1.Quantitative analysis model between the PHA absorbance value and and chemical analysis values was established by using partial least squares method and neural network method. The correlation coefficients of the prediction and calibration sets were0.9878 and 0.9871 respectively, the root mean square errors of prediction(RMSEP) and Mean Absolute Errors(MAE) were 0.343% and 0.323% respectively. Quantitative analysis model between the absorbance value of glycogen or polyphosphate and and chemical analysis values was established the same as above. The correlation coefficients of theprediction and calibration sets(glycogen) were 0.9905 and 0.9766 respectively, RMSEP and MAE were 0.079% and 0.13% respectively. The correlation coefficients of the prediction and calibration sets(polyphosphate) were 0.9981 and 0.9910 respectively,RMSEP and MAE were 0.13% and 0.26% respectively.(5)The infrared absorption peaks at 1740cm-1 and 1280cm-1 from EBPR reactor were stronger than those from wastewater treatment plant, but the absorbance peak at1020cm-1 was weaker. These results showed that the intracellular PHA and polyphosphate contents of EBPR reactor were higher than those of wastewater treatment plant, however,glycogen contents from EBPR reactor were relatively lower.(6)Principal component analysis combined with clustering analysis was used to classified the activated sludge from different sources. The sludges from wastewater treatment plant and EBPR reactor were preliminarily distinguished. However, there were no obvious difference in the sludges from different wastewater treatment plants. Moreover,the characteristic of activated sludge from some plants was similar.
Keywords/Search Tags:enhanced biological phosphorus removal(EBPR), infrared spectrum, calculation intellectual method, intracellular storage, correlation coefficients
PDF Full Text Request
Related items