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规模全污水厂活性污泥群落的多元分析。

Multivariate analysis of activated sludge community in full-scale wastewater treatment plants.

机构信息

Institute of Environmental Sciences, Jagiellonian University, Gronostajowa 7, 30-387, Krakow, Poland.

出版信息

Environ Sci Pollut Res Int. 2021 Jan;28(3):3579-3589. doi: 10.1007/s11356-020-10684-5. Epub 2020 Sep 12.

DOI:10.1007/s11356-020-10684-5
PMID:32918692
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7788020/
Abstract

We investigated changes in protozoa and metazoa community in relation to process parameters in activated sludge from four wastewater treatment plants (WWTPs) throughout the period of 1 year. Principal component analysis (PCA) showed that activated sludge from investigated treatment plants had different dominating species representatives and community composition mainly depends on individual features of the treatment plants. Redundancy analysis (RDA) showed that the temperature in bioreactors was the most relevant factor explaining changes in the microorganism community, whereas reduction rate of chemical oxygen demand (COD), biological oxygen demand (BOD), suspended solids (SS), and total nitrogen (TN) did not sufficiently explain the variation in protozoa and metazoan community composition. The results indicate that in stable working WWTP it is difficult to find a pronounced link between activated sludge species composition, process parameters, and plant configuration. Applied multivariate analysis can be a valuable tool for the exploration of the relations between community composition and WWTP process parameters.

摘要

我们调查了在为期一年的时间里，四个污水处理厂（WWTP）的活性污泥中与工艺参数相关的原生动物和后生动物群落的变化。主成分分析（PCA）表明，来自调查处理厂的活性污泥具有不同的优势种代表，群落组成主要取决于处理厂的个体特征。冗余分析（RDA）表明，生物反应器中的温度是解释微生物群落变化的最相关因素，而化学需氧量（COD）、生物需氧量（BOD）、悬浮固体（SS）和总氮（TN）的还原率不能充分解释原生动物和后生动物群落组成的变化。结果表明，在稳定运行的 WWTP 中，很难找到活性污泥物种组成、工艺参数和工厂配置之间的明显联系。应用多元分析可以成为探索群落组成与 WWTP 工艺参数之间关系的有用工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a7c/7788020/c56fb86eba78/11356_2020_10684_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a7c/7788020/8c0826a7aa81/11356_2020_10684_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a7c/7788020/27db45da48f4/11356_2020_10684_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a7c/7788020/e119d7f15686/11356_2020_10684_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a7c/7788020/d24507490bf9/11356_2020_10684_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a7c/7788020/78e2549016c8/11356_2020_10684_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a7c/7788020/b64ab01583b0/11356_2020_10684_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a7c/7788020/3f17f857465f/11356_2020_10684_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a7c/7788020/07d5c643ab3f/11356_2020_10684_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a7c/7788020/c56fb86eba78/11356_2020_10684_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a7c/7788020/8c0826a7aa81/11356_2020_10684_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a7c/7788020/27db45da48f4/11356_2020_10684_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a7c/7788020/e119d7f15686/11356_2020_10684_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a7c/7788020/d24507490bf9/11356_2020_10684_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a7c/7788020/78e2549016c8/11356_2020_10684_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a7c/7788020/b64ab01583b0/11356_2020_10684_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a7c/7788020/3f17f857465f/11356_2020_10684_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a7c/7788020/07d5c643ab3f/11356_2020_10684_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a7c/7788020/c56fb86eba78/11356_2020_10684_Fig9_HTML.jpg

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