The slow initiation of anammox for treating typical domestic wastewater and the relatively high footprint of wastewater treatment infrastructures are major concerns for practical wastewater treatment systems.Herein,a ...The slow initiation of anammox for treating typical domestic wastewater and the relatively high footprint of wastewater treatment infrastructures are major concerns for practical wastewater treatment systems.Herein,a 300 m^(3)/d hybrid biofilm reactor(HBR)process was developed and operated with a short hydraulic retention time(HRT)of 8 h.The analysis of the bacterial community demonstrated that anammox were enriched in the anoxic zone of the HBR process.The percentage abundance of Candidatus Brocadia in the total bacterial community of the anoxic zone increased from 0 at Day 1 to 0.33%at Day 130 and then to 2.89%at Day 213.Based upon the activity of anammox bacteria,the removal of ammonia nitrogen(NH_(4)^(+)-N)in the anoxic zone was approximately 15%.This showed that the nitrogen transformation pathway was enhanced in the HBR system through partial anammox process in the anoxic zone.The final effluent contained 12 mg/L chemical oxygen demand(COD),0.662 mg/L NH_(4)^(+)-N,7.2 mg/L total nitrogen(TN),and 6 mg/L SS,indicating the effectiveness of the HBR process for treating real domestic wastewater.展开更多
Closed circuit television(CCTV)systems are widely used to inspect sewer pipe conditions.During the diagnosis process,the manual diagnosis of defects is time consuming,labor intensive and error prone.To assist inspecto...Closed circuit television(CCTV)systems are widely used to inspect sewer pipe conditions.During the diagnosis process,the manual diagnosis of defects is time consuming,labor intensive and error prone.To assist inspectors in diagnosing sewer pipe defects on CCTV inspection images,this paper presents an image recognition algorithm that applies features extraction and machine learning approaches.An algorithm of image recognition techniques,including Hu invariant moment,texture features,lateral Fourier transform and Daubechies(DBn)wavelet transform,was used to describe the features of defects,and support vector machines were used to classify sewer pipe defects.According to the inspection results,seven defects were defined;the diagnostic system was applied to a sewer pipe system in a southern city of China,and 28,760 m of sewer pipes were inspected.The results revealed that the classification accuracies of the different defects ranged from 51.6% to 99.3%.The overall accuracy reached 84.1%.The diagnosing accuracy depended on the number of the training samples,and four fitting curves were applied to fit the data.According to this paper,the logarithmic fitting curve presents the highest coefficient of determination of 0.882,and more than 200 images need to be used for training samples to guarantee the accuracy higher than 85%.展开更多
Pathogenic enteric viruses pose a significant risk to human health.Nanoscale zero-valent iron(nZVI),a novel material for environmental remediation,has been shown to be a promising tool for disinfection.However,the exi...Pathogenic enteric viruses pose a significant risk to human health.Nanoscale zero-valent iron(nZVI),a novel material for environmental remediation,has been shown to be a promising tool for disinfection.However,the existing research has typically utilized MS2 or f2 bacteriophages to investigate the antimicrobial properties of nZVI,and the resistance difference between bacteriophages,which is important for the application of disinfection technologies,is not yet understood.Here,MS2 and PhiX174 containing RNA and DNA,respectively,were used as model viruses to investigate the resistances to nZVI.The bacteriophage inactivation mechanisms were also discussed using TEM images,protein,and nucleic acid analysis.The results showed that an initial concentration of 10^(6)PFU/mL of MS2 could be completely inactivated within 240 min by 40 mg/L nZVI at pH 7,whereas the complete inactivation of PhiX174 could not be achieved by extending the reaction time,increasing the nZVI dosage,or changing the dosing means.This indicates that the resistance of phage PhiX174 to nZVI was much stronger than that of MS2.TEM images indicated that the viral particle shape was distorted,and the capsid shell was ruptured by nZVI.The damage to viral surface proteins in both phages was examined by three-dimensional fluorescence spectrum and sodium dodecyl sulfate polyacrylamide gel electrophoresis(SDS-PAGE).However,the nucleic acid analysis demonstrated that the nucleic acid of MS2,but not PhiX174,was destroyed.It indicated that bacteriophage inactivation was mainly attributed to the damage of nucleic acids.展开更多
基金supported by The Major Science and Technology Program for Water Pollution Control and Treatment(Ministry of Ecology and Environment,China)(No.2017ZX07103-003)and seed fund for Beijing Young Engineering,China.
文摘The slow initiation of anammox for treating typical domestic wastewater and the relatively high footprint of wastewater treatment infrastructures are major concerns for practical wastewater treatment systems.Herein,a 300 m^(3)/d hybrid biofilm reactor(HBR)process was developed and operated with a short hydraulic retention time(HRT)of 8 h.The analysis of the bacterial community demonstrated that anammox were enriched in the anoxic zone of the HBR process.The percentage abundance of Candidatus Brocadia in the total bacterial community of the anoxic zone increased from 0 at Day 1 to 0.33%at Day 130 and then to 2.89%at Day 213.Based upon the activity of anammox bacteria,the removal of ammonia nitrogen(NH_(4)^(+)-N)in the anoxic zone was approximately 15%.This showed that the nitrogen transformation pathway was enhanced in the HBR system through partial anammox process in the anoxic zone.The final effluent contained 12 mg/L chemical oxygen demand(COD),0.662 mg/L NH_(4)^(+)-N,7.2 mg/L total nitrogen(TN),and 6 mg/L SS,indicating the effectiveness of the HBR process for treating real domestic wastewater.
文摘Closed circuit television(CCTV)systems are widely used to inspect sewer pipe conditions.During the diagnosis process,the manual diagnosis of defects is time consuming,labor intensive and error prone.To assist inspectors in diagnosing sewer pipe defects on CCTV inspection images,this paper presents an image recognition algorithm that applies features extraction and machine learning approaches.An algorithm of image recognition techniques,including Hu invariant moment,texture features,lateral Fourier transform and Daubechies(DBn)wavelet transform,was used to describe the features of defects,and support vector machines were used to classify sewer pipe defects.According to the inspection results,seven defects were defined;the diagnostic system was applied to a sewer pipe system in a southern city of China,and 28,760 m of sewer pipes were inspected.The results revealed that the classification accuracies of the different defects ranged from 51.6% to 99.3%.The overall accuracy reached 84.1%.The diagnosing accuracy depended on the number of the training samples,and four fitting curves were applied to fit the data.According to this paper,the logarithmic fitting curve presents the highest coefficient of determination of 0.882,and more than 200 images need to be used for training samples to guarantee the accuracy higher than 85%.
基金This work was supported by the National Natural Science Foundation of China(Grant Nos.51778618 and 52070192)which are greatly acknowledged.
文摘Pathogenic enteric viruses pose a significant risk to human health.Nanoscale zero-valent iron(nZVI),a novel material for environmental remediation,has been shown to be a promising tool for disinfection.However,the existing research has typically utilized MS2 or f2 bacteriophages to investigate the antimicrobial properties of nZVI,and the resistance difference between bacteriophages,which is important for the application of disinfection technologies,is not yet understood.Here,MS2 and PhiX174 containing RNA and DNA,respectively,were used as model viruses to investigate the resistances to nZVI.The bacteriophage inactivation mechanisms were also discussed using TEM images,protein,and nucleic acid analysis.The results showed that an initial concentration of 10^(6)PFU/mL of MS2 could be completely inactivated within 240 min by 40 mg/L nZVI at pH 7,whereas the complete inactivation of PhiX174 could not be achieved by extending the reaction time,increasing the nZVI dosage,or changing the dosing means.This indicates that the resistance of phage PhiX174 to nZVI was much stronger than that of MS2.TEM images indicated that the viral particle shape was distorted,and the capsid shell was ruptured by nZVI.The damage to viral surface proteins in both phages was examined by three-dimensional fluorescence spectrum and sodium dodecyl sulfate polyacrylamide gel electrophoresis(SDS-PAGE).However,the nucleic acid analysis demonstrated that the nucleic acid of MS2,but not PhiX174,was destroyed.It indicated that bacteriophage inactivation was mainly attributed to the damage of nucleic acids.