污泥絮体特征与微型动物运动速度相关性研究——以自由运动型微型动物为例

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Abstract This study was designed to figure out the problems such as misjudgment of micro-animals, heavy workload of classification and statistical analysis, etc., which exist in using changes in micro-animal community species to indicate the operating status of activated sludge. The possibility of reducing the dimensions of floc micromorphological parameters into a comprehensive index was judged with the principal component analysis (PCA). Meanwhile, the "micro-animal movement video acquisition + quantitative image analysis" method was used to characterize the movement speed of micro-animals(average linear velocity V and average angular velocity W) and identify the correlations between the movement speeds of seven freely moving micro-animals such as A. lynceus and the microscopic characteristics of sludge flocs in the SBR system. The results show a good correlation between the microscopic morphological parameters of the sludge flocs, which can be reduced to two comprehensive indicators (floc size and compactness (SC) and floc shape regularity (SR)). Both the floc SC and SR indicators were observed to have a significant correlation to the movement speed of Euchlanis sp., F. depressa and A. lynceus (|r|>0.50, P<0.05), so the change in the movement speed of typical free-moving micro-animals can quickly indicate the micro-morphological changes in sludge flocs.

Key words： microscopic characteristics of flocs PCA microfauna movement velocity activated sludge

Received: 05 January 2022

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X703

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	Articles by authors
	HU Xiao-Bing
	WANG Kun
	LI Jing-Jing
	CHEN Hong-Wei
	SONG Wei-Wei
	JIANG Yong-Bin
	CHANG Jing
	ZHONG Mei-Ying

Cite this article:

HU Xiao-Bing,WANG Kun,LI Jing-Jing等. Microscopic characteristics of sludge flocs as related to the movement velocity of microfauna: A case study of free-moving microfauna[J]. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(8): 3666-3673.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I8/3666

[1]	完颜徤飞.基于图像分析技术的活性污泥沉降性能微观参数响应研究[D]. 马鞍山:安徽工业大学, 2015. Wanyan J F. Microscopic parameters response to activated sludge settling ability based on image analysis technology[D]. Ma'anshan:Anhui University of Technology, 2015.
[2]	彭永臻,郭建华.活性污泥膨胀机理、成因及控制[M]. 北京:科学出版社, 2012. Peng Y Z, Guo J H. Activated sludge expansion mechanism, causes and control[M]. Beijing:Science Press, 2012.
[3]	Yan X, Zheng S, Yang J, et al. Effects of hydrodynamic shear stress on sludge properties, N2O generation, and microbial community structure during activated sludge process[J]. Journal of Environmental Management, 2020,274:111215.
[4]	Jin B, Wilén B, Lant P. Impacts of morphological, physical and chemical properties of sludge flocs on dewaterability of activated sludge[J]. Chemical Engineering Journal, 2004,98(1/2):115-126.
[5]	Leal C, Val Del Río A, Ferreira E C, et al. Validation of a quantitative image analysis methodology for the assessment of the morphology and structure of aerobic granular sludge in the presence of pharmaceutically active compounds[J]. Environmental Technology & Innovation, 2021,23:101639.
[6]	Hriberšek M, Žajdela B, Hribernik A, et al. Experimental and numerical investigations of sedimentation of porous wastewater sludge flocs[J]. Water Research, 2011,45(4):1729-1735.
[7]	Vahedi A, Gorczyca B. Predicting the settling velocity of flocs formed in water treatment using multiple fractal dimensions[J]. Water Research, 2012,46(13):4188-4194.
[8]	阮晓东,刘俊新.活性污泥絮体的分形结构分析[J]. 环境科学, 2013,34(4):1457-1463. Ruan X D, Liu J X. Analysis of the fractal structure of activated sludge flocs[J]. Environmental Science, 2013,34(4):1457-1463.
[9]	Costa J C, Mesquita D P, Amaral A L, et al. Quantitative image analysis for the characterization of microbial aggregates in biological wastewater treatment:a review[J]. Environmental Science and Pollution Research, 2013,20(9):5887-5912.
[10]	Mesquita D P, Amaral A L, Ferreira E C. Activated sludge characterization through microscopy:A review on quantitative image analysis and chemometric techniques[J]. Analytica Chimica Acta, 2013,802:14-28.
[11]	Mesquita D P, Amaral A L, Ferreira E C. Identifying different types of bulking in an activated sludge system through quantitative image analysis[J]. Chemosphere, 2011,85(4):643-652.
[12]	Lee L C, Jemain A A. On overview of PCA application strategy in processing high dimensionality forensic data[J]. Microchemical Journal, 2021,169:106608.
[13]	Hu B, Qi R, An W, et al. Dynamics of the microfauna community in a full-scale municipal wastewater treatment plant experiencing sludge bulking[J]. European Journal of Protistology, 2013,49(4):491-499.
[14]	Araújo Dos Santos L, Ferreira V, Pereira M O, et al. Relationship between protozoan and metazoan communities and operation and performance parameters in a textile sewage activated sludge system[J]. European Journal of Protistology, 2014,50(4):319-328.
[15]	Lee S, Basu S, Tyler C W, et al. Ciliate populations as bio-indicators at Deer Island Treatment Plant[J]. Advances in Environmental Research, 2004,8(3):371-378.
[16]	Zhou K, Xu M, Dai J, et al. The microfauna communities and operational monitoring of an activated sludge plant in China[J]. European Journal of Protistology, 2006,42(4):291-295.
[17]	Foissner W. Protists as bioindicators in activated sludge:Identification, ecology and future needs[J]. European Journal of Protistology, 2016,55:75-94.
[18]	王基成,周彦波,卢传敬,等.活性污泥系统中微型动物监测与指示生物的应用[J]. 炼油技术与工程, 2009,39(2):59-62. Wang J C, Zhou Y B, Lu C J, et al. Study on microfauna monitoring and application of bioindicator in activated sludge plant[J]. Petroleum Refinery Engineering, 2009,39(2):59-62.
[19]	Madoni P. A sludge biotic index (SBI) for the evaluation of the biological performance of activated sludge plants based on the microfauna analysis[J]. Water Research, 1994,28(1):67-75.
[20]	Ogleni N, Arifoglu Y D, Ileri R. Microbiological and performance evaluation of sequencing batch reactor for textile wastewater treatment[J]. Water Environment Research, 2012,84(4):346-353.
[21]	Canals O, Salvado H, Auset M, et al. Microfauna communities as performance indicators for an A/O Shortcut Biological Nitrogen Removal moving-bed biofilm reactor[J]. Water Research, 2013,47(9):3141-3150.
[22]	Villarroel M J, Ferrando M D, Sancho E, et al. Daphnia magna feeding behavior after exposure to tetradifon and recovery from intoxication[J]. Ecotoxicology and Environmental Safety, 1999,44(1):40-46.
[23]	Bownik A. Daphnia swimming behaviour as a biomarker in toxicity assessment:A review[J]. Science of the Total Environment, 2017, 601-602:194-205.
[24]	Pan Y, Zhang L, Lin C, et al. Influence of flow velocity on motor behavior of sea cucumber Apostichopus japonicus[J]. Physiology & Behavior, 2015,144:52-59.
[25]	沈韫芬,章宗涉,龚循矩,等.微型生物监测新技术[M]. 北京:中国建筑工业出版社, 1990. Shen W F, Zhang Z S, Gong X J, et al. New technology of micro biological monitoring[M]. Beijing:China Architecture & Building Press, 1990.
[26]	马放,杨基先,魏利.环境微生物图谱[M]. 北京:中国环境科学出版社, 2010. Ma F, Yang J X, Wei L. et al. Environmental microorganisms Atlas[M]. Beijing:China Environmental Science Press, 2010.
[27]	Hu X, Wang K, Chang J, et al. Establishment of a comprehensive analysis method for the microfaunal movement in activated sludge[J]. Environmental Science and Pollution Research, 2021,28(14):17084-17097.
[28]	Pandolfi D, Pons M. Gram-staining characterisation of activated sludge filamentous bacteria by automated colour analysis[J]. Biotechnology letters, 2004,26(24):1841-1846.
[29]	Yu R, Chen H, Cheng W, et al. Simultaneously monitoring the particle size distribution, morphology and suspended solids concentration in wastewater applying digital image analysis (DIA)[J]. Environmental Monitoring and Assessment, 2009,148(1-4):19-26.
[30]	Maini R, Aggarwal H. A comprehensive review of image enhancement techniques[J]. Journal of Computing, 2010,2(3):8-13.
[31]	张新喜,完颜健飞,胡小兵,等.基于活性污泥絮体微观参数的污泥沉降性能判别[J]. 环境科学学报, 2015,35(12):3815-3823. Zhang X X, Wanyan J F, Hu X B, et al. Discriminant of activated sludge settling ability based on floc microscopic parameters[J]. Acta Scientiae Circumstantiae, 2015,35(12):3815-3823.
[32]	Boztoprak H, Özbay Y, Güçlü D, et al. Prediction of sludge volume index bulking using image analysis and neural network at a full-scale activated sludge plant[J]. Desalination and Water Treatment, 2015,57(37):17195-17205.
[33]	Koivuranta E, Keskitalo J, Haapala A, et al. Optical monitoring of activated sludge flocs in bulking and non-bulking conditions[J]. Environmental Technology, 2013,34(5):679-686.
[34]	胡小兵,张琳,汪坤,等.基于絮体结构指标的丝状菌膨胀污泥SVI预测[J]. 中国给水排水, 2022,38(1):16-22. Hu X B, Zhang L, Wang K, et al. Sludge volume index prediction of filamentous bulking sludge based on floc structure index[J]. China Water & Wastewater, 2022,38(1):16-22.
[35]	Jolliffe I T, Cadima J. Principal component analysis:a review and recent developments[J]. Philosophical Transactions, Series A, Mathematical, Physical, and Engineering Sciences, 2016,374:20150202.
[36]	谢春生,杨志远,刘锟,等.航班运行控制风险评估精度提升方法[J]. 安全与环境学报, 2022,22(3):1227-1234. Xie C S, Yang Z Y, Liu K, et al. A method of flight operations control risks assessment accuracy improvement[J]. Journal of Safety and Environment, 2022,22(3):1227-1234.
[37]	Mu Y, Yu H. Biological hydrogen production in a UASB reactor with granules. I:Physicochemical characteristics of hydrogen-producing granules[J]. Biotechnology and Bioengineering, 2006,94(5):980-987.
[38]	Niu M, Zhang W, Wang D, et al. Correlation of physicochemical properties and sludge dewaterability under chemical conditioning using inorganic coagulants[J]. Bioresource Technology, 2013,144:337-343.
[39]	Wilén B, Jin B, Lant P. The influence of key chemical constituents in activated sludge on surface and flocculating properties[J]. Water Research, 2003,37(9):2127-2139.
[40]	胡小兵,朱荣芳,叶星,等.基于降维分析的活性污泥絮体结构特征指标[J]. 中国环境科学, 2017,37(5):1759-1768. Hu X B, Zhu R F, Ye X, et al. Characteristic indexes of floc structure in activated sludge based on dimensionality reduction methods[J]. China Environmental Science, 2017,37(5):1759-1768.
[41]	Martín-Cereceda M, Serrano S, Guinea A. A comparative study of ciliated protozoa communities in activated-sludge plants[J]. FEMS Microbiology Ecology, 1996,21(4):267-276.
[42]	Hu B, Qi R, Yang M. Systematic analysis of microfauna indicator values for treatment performance in a full-scale municipal wastewater treatment plant[J]. Journal of Environmental Sciences (China), 2013,25(7):1379-1385.
[43]	Araújo Dos Santos L, Ferreira V, Pereira M O, et al. Relationship between protozoan and metazoan communities and operation and performance parameters in a textile sewage activated sludge system[J]. European Journal of Protistology, 2014,50(4):319-328.
[44]	Espinosa-Rodríguez C A, Sarma S S S, Nandini S. Interactions between the rotifer Euchlanis dilatata and the cladocerans Alona glabra and Macrothrix triserialis in relation to diet type[J]. Limnologica, 2012,42(1):50-55.
[45]	Chen J, Wang Z, Li G, et al. The swimming speed alteration of two freshwater rotifers Brachionus calyciflorus and Asplanchna brightwelli under dimethoate stress[J]. Chemosphere, 2014,95:256-260.