4.云南大学,高原山地生态与退化环境修复重点实验室,昆明 650091
1.College of Ecology and Environment, Yunnan University, Kunming 650091, China
2.Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650091, China
3.Key Laboratory of International Rivers and Transboundary Eco-Security, Yunnan University, Kunming 650091, China
4.Key Laboratory of Plateau Mountain Ecology and Degraded Environment Restoration, Yunnan University, Kunming 650091, China
应用曝气、菌剂+曝气、生物促生剂+曝气、菌剂+生物促生剂+曝气4种微生物技术净化黑臭水体,分别考察了进水中溶解性有机物(DOM)的特征和来源及出水中DOM的特征和效果,采用三维荧光(EEM)光谱技术与平行因子(PARAFAC)模型相结合的方式对进出水DOM进行了分析。结果表明,不同处理方式下进出水DOM的不同组分荧光峰强度变化存在较明显的差异,经过菌剂和生物促生剂联合处理之后,对类腐殖质等难降解物质削减效果最好。FI、HIX和BIX指数分析表明各处理水样中的DOM整体处于较强的自生源特征。利用主成分分析法(PCA)对影响黑臭水体DOM的主要因素及其贡献量研究发现:第1主成分表现为陆源类腐殖质和生物源类腐殖质共存的现象,对水体中DOM的贡献率为54.98%;第2主成分反映了以微生物代谢过程为代表的内源污染,对水体中DOM的贡献率为26.56%。因此,利用三维荧光分析能够较好的反映水中DOM的去除情况,易于实时在线监测,对黑臭水治理具有重要意义。
Excitation-emission matrix (EEM) fluorescence spectroscopy combined with parallel factor analysis (PARAFAC) were employed to analyze the characteristics and source of dissolved organic matter (DOM) in influent and the characteristics and effect of DOM in effluent when four microbial technologies: aeration, microbial inoculum+aeration, biostimulant+aeration, microbial inoculum+biostimulant+aeration, were used to purifying black-odor water. The results showed that the fluorescence peak intensity of different components of DOM was significantly different under different treatments. The combined treatment with microbial inoculum and biostimulant had the best reduction effect on non-biodegradable substances such as humus. The FI, HIX and BIX index analysis showed that the DOM in effluent was in a strong autogenous source. Principal component analysis (PCA) was used to study the main factors affecting the DOM of black-odor water and their contributions. The results indicated that the first principal component was characterized by the coexistence of terrestrial humus and biogenic humus, contributing 54.98% to the DOM in water. The second principal component reflected the endogenous pollution represented by microbial metabolism, accounting for 26.56% of the DOM in water. Therefore, the use of three-dimensional fluorescence analysis can better reflect the removal of DOM in water, and is easy to realize real-time on-line monitoring, which is of great significance for black-odor water treatment.
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PARAFAC模型识别出的5个荧光组分的3D-EEM
3D-EEM of 5 fluorescent components identified by the PARAFAC model
Changes of water quality indicators under different treatments
Three-dimensional map of influent and effluent under different treatments
Principal component analysis load map of DOM and water indicators
Three-dimensional fluorescence spectral parameters of DOM in influent and effluent under different treatment modes
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