A technology of polymerase chain reaction-denaturing gradient gel electrophoresis(PCR-DGGE)was used to profile the structure and dynamic changes of microbial communities in a bioreactor for treating hydrocarbon-sulfid...A technology of polymerase chain reaction-denaturing gradient gel electrophoresis(PCR-DGGE)was used to profile the structure and dynamic changes of microbial communities in a bioreactor for treating hydrocarbon-sulfide-containing(HSC)wastewater.The results showed that the heterotrophic genus of Acinetobacter and the autotrophic genera of Thiobacillus and Thiomonas could survive well in all of three operating conditions.Some special genera were also observed with changes of micro-ecoenvironment in the reacto...展开更多
The low-concentration methanol-containing wastewater of a gas field mainly consists of the dehydrated water from natural gas,the water at the bottom of a rectifying tower,and the water used to clear tanks and pipes. T...The low-concentration methanol-containing wastewater of a gas field mainly consists of the dehydrated water from natural gas,the water at the bottom of a rectifying tower,and the water used to clear tanks and pipes. The concentration of methanol as its characteristic component is mostly lower than 3%. Its production and water quality change seasonally. It is mainly produced in late autumn,winter,and early spring when temperature is low. In the low-concentration methanol-containing wastewater,the content of organic matter,suspended solids and salts and COD value are high,and it is acidic. According to the physical and chemical properties of methanol such as easily dissolving in water,dissolving in most organic solvents,and having strong molecular polarity,laboratory experiments were made to study the difficulties of using high-temperature rectification,biodegradation,membrane filtration and organic oxidation technology to treat low-concentration methanol in the wastewater as well as the feasibility of industrial application. Ultraviolet catalytic oxidation technology has the advantages of high treatment efficiency,no secondary pollution,and no addition of treatment agent. After the low-concentration methanol-containing wastewater was treated by ultraviolet catalytic oxidation for 90 min,methanol concentration in the wastewater reduced from about 3% to around 0. 1%,thereby rapidly and efficiently degrading methanol in the wastewater. Based on the experimental parameters,a pilot device of ultraviolet catalytic oxidation was developed and used in the continuous treatment of the wastewater. When the flow rate of inflow was 500 L/h,the intensity of UV light was 2 k W,and hydraulic retention time was 60 min,methanol could be removed completely from the wastewater with the methanol concentration of about 0. 3%. This study provides a method for the treatment of low-concentration methanol-containing wastewater of a gas field,and also provides an experimental basis for the efficient degradation of organic wastewater.展开更多
The microbial treatment of wastewater containing a high concentration of chromium from cold rolling mills was carried out as a pilot study. The pilot-scale equipment, technological process and results are described in...The microbial treatment of wastewater containing a high concentration of chromium from cold rolling mills was carried out as a pilot study. The pilot-scale equipment, technological process and results are described in this paper. Two kinds of wastewater with a high concentration of chromium were tested ： one from a color coating line ; the other from a silicon steel line. The removal effect of Cr^6＋ , T-Cr and chemical oxygen demand （COD） in wastewater was studied. The results showed that this microbial treatment technology could be used to treat the above two kinds of chromium-containing wastewater. The average concentrations of Cr^6＋ in the color coating line effluent and the silicon steel line effluent were 0.02 mg/L and 0.04 mg/L respectively, and the average concentrations of T-Cr in the effluents were 0.71 mg/L and 0.74 mg/L respectively. Both were lower than the Sewage Discharge Standard （Cr^6＋ 〈 0.5 mg/L,T-Cr 〈 1.5 mg/L）. Furthermore, up to 60% of the COD was removed from chromate wastewater containing a high concentration COD （ 〉 3 g/L）. The removal rate of COD was lower than 25% for chromate wastewater containing a low concentration COD （ 〈 3 g/L）. Adding a flocculating agent was one of the effective ways of improving the COD removal rate from chromium-containing wastewater.展开更多
Objective During present investigation the data of a laboratory-scale anoxic sulfide oxidizing （ASO） reactor were used in a neural network system to predict its performance. Methods Five uncorrelated components of t...Objective During present investigation the data of a laboratory-scale anoxic sulfide oxidizing （ASO） reactor were used in a neural network system to predict its performance. Methods Five uncorrelated components of the influent wastewater were used as the artificial neural network model input to predict the output of the effluent using back-propagation and general regression algorithms. The best prediction performance is achieved when the data are preprocessed using principal components analysis （PCA） before they are fed to a back propagated neural network. Results Within the range of experimental conditions tested, it was concluded that the ANN model gave predictable results for nitrite removal from wastewater through ASO process. The model did not predict the formation of sulfate to an acceptable manner. Conclusion Apart from experimentation, ANN model can help to simulate the results of such experiments in finding the best optimal choice for ASO based denitrification. Together with wastewater collection and the use of improved treatment systems and new technologies, better control of wastewater treatment plant （WTP） can lead to more effective maneuvers by its operators and, as a consequence, better effluent quality.展开更多
文摘A technology of polymerase chain reaction-denaturing gradient gel electrophoresis(PCR-DGGE)was used to profile the structure and dynamic changes of microbial communities in a bioreactor for treating hydrocarbon-sulfide-containing(HSC)wastewater.The results showed that the heterotrophic genus of Acinetobacter and the autotrophic genera of Thiobacillus and Thiomonas could survive well in all of three operating conditions.Some special genera were also observed with changes of micro-ecoenvironment in the reacto...
文摘The low-concentration methanol-containing wastewater of a gas field mainly consists of the dehydrated water from natural gas,the water at the bottom of a rectifying tower,and the water used to clear tanks and pipes. The concentration of methanol as its characteristic component is mostly lower than 3%. Its production and water quality change seasonally. It is mainly produced in late autumn,winter,and early spring when temperature is low. In the low-concentration methanol-containing wastewater,the content of organic matter,suspended solids and salts and COD value are high,and it is acidic. According to the physical and chemical properties of methanol such as easily dissolving in water,dissolving in most organic solvents,and having strong molecular polarity,laboratory experiments were made to study the difficulties of using high-temperature rectification,biodegradation,membrane filtration and organic oxidation technology to treat low-concentration methanol in the wastewater as well as the feasibility of industrial application. Ultraviolet catalytic oxidation technology has the advantages of high treatment efficiency,no secondary pollution,and no addition of treatment agent. After the low-concentration methanol-containing wastewater was treated by ultraviolet catalytic oxidation for 90 min,methanol concentration in the wastewater reduced from about 3% to around 0. 1%,thereby rapidly and efficiently degrading methanol in the wastewater. Based on the experimental parameters,a pilot device of ultraviolet catalytic oxidation was developed and used in the continuous treatment of the wastewater. When the flow rate of inflow was 500 L/h,the intensity of UV light was 2 k W,and hydraulic retention time was 60 min,methanol could be removed completely from the wastewater with the methanol concentration of about 0. 3%. This study provides a method for the treatment of low-concentration methanol-containing wastewater of a gas field,and also provides an experimental basis for the efficient degradation of organic wastewater.
文摘The microbial treatment of wastewater containing a high concentration of chromium from cold rolling mills was carried out as a pilot study. The pilot-scale equipment, technological process and results are described in this paper. Two kinds of wastewater with a high concentration of chromium were tested ： one from a color coating line ; the other from a silicon steel line. The removal effect of Cr^6＋ , T-Cr and chemical oxygen demand （COD） in wastewater was studied. The results showed that this microbial treatment technology could be used to treat the above two kinds of chromium-containing wastewater. The average concentrations of Cr^6＋ in the color coating line effluent and the silicon steel line effluent were 0.02 mg/L and 0.04 mg/L respectively, and the average concentrations of T-Cr in the effluents were 0.71 mg/L and 0.74 mg/L respectively. Both were lower than the Sewage Discharge Standard （Cr^6＋ 〈 0.5 mg/L,T-Cr 〈 1.5 mg/L）. Furthermore, up to 60% of the COD was removed from chromate wastewater containing a high concentration COD （ 〉 3 g/L）. The removal rate of COD was lower than 25% for chromate wastewater containing a low concentration COD （ 〈 3 g/L）. Adding a flocculating agent was one of the effective ways of improving the COD removal rate from chromium-containing wastewater.
文摘Objective During present investigation the data of a laboratory-scale anoxic sulfide oxidizing （ASO） reactor were used in a neural network system to predict its performance. Methods Five uncorrelated components of the influent wastewater were used as the artificial neural network model input to predict the output of the effluent using back-propagation and general regression algorithms. The best prediction performance is achieved when the data are preprocessed using principal components analysis （PCA） before they are fed to a back propagated neural network. Results Within the range of experimental conditions tested, it was concluded that the ANN model gave predictable results for nitrite removal from wastewater through ASO process. The model did not predict the formation of sulfate to an acceptable manner. Conclusion Apart from experimentation, ANN model can help to simulate the results of such experiments in finding the best optimal choice for ASO based denitrification. Together with wastewater collection and the use of improved treatment systems and new technologies, better control of wastewater treatment plant （WTP） can lead to more effective maneuvers by its operators and, as a consequence, better effluent quality.
