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细菌富营养化指数用于淡水生态系统的潜在水质评价。

Bacterial eutrophic index for potential water quality evaluation of a freshwater ecosystem.

机构信息

Department of Water and Wastewater Engineering, Wuhan University of Science and Technology, Wuhan, 430065, China.

出版信息

Environ Sci Pollut Res Int. 2020 Sep;27(26):32449-32455. doi: 10.1007/s11356-020-09585-4. Epub 2020 Jun 18.

DOI:10.1007/s11356-020-09585-4
PMID:32556977
Abstract

Water quality evaluation of freshwater ecosystems has been widely reported based on the physical and chemical parameters of water (e.g., Carlson's trophic state index (TSI)), while the aquatic microorganisms are actually a more intuitive way to reflect the eutrophic levels. This article was based on 27 global freshwater ecosystems including freshwater rivers, lakes, and reservoirs. Bacterial eutrophic index (BEI) was determined as the function of temperature and abundances of Cyanobacteria and Actinobacteria. BEI and TSI values of the freshwater ecosystems were determined and the correlation analysis of TSI and BEI indicated their positive correlation (ρ = 0.452, p < 0.01). Furthermore, an eutrophication classification based on BEI was proposed. It turned out that BEI was a possible feasible method for water quality evaluation. The aquatic microorganism-based method such as BEI should be considered for water quality evaluation of a freshwater ecosystem. Complicated models combined with physicochemical (e.g., TSI) and microbial (e.g., BEI) method are recommended for water quality evaluation of a freshwater ecosystem in future.

摘要

淡水生态系统的水质评价已有大量基于水质理化参数(如卡尔森营养状态指数 TSI)的报道,而水生微生物实际上是反映富营养化水平更直观的方式。本研究基于包括淡水河流、湖泊和水库在内的 27 个全球淡水生态系统,确定了细菌富营养指数(BEI)作为温度以及蓝细菌和放线菌丰度的函数。测定了淡水生态系统的 BEI 和 TSI 值,并对 TSI 和 BEI 进行了相关性分析,结果表明两者呈正相关(ρ=0.452,p<0.01)。此外,还提出了基于 BEI 的富营养化分类方法。结果表明,BEI 可能是一种可行的水质评价方法。水生微生物方法,如 BEI,应被考虑用于淡水生态系统的水质评价。未来建议采用复杂模型,结合理化(如 TSI)和微生物(如 BEI)方法,对淡水生态系统的水质进行评价。

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